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        <title>Acta Mechanica et Automatica Feed</title>
        <link>https://sciendo.com/journal/AMA</link>
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            <title>Acta Mechanica et Automatica Feed</title>
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            <link>https://sciendo.com/journal/AMA</link>
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        <copyright>All rights reserved 2026, Bialystok University of Technology</copyright>
        <item>
            <title><![CDATA[INFLUENCE OF EXTENSION-SHEARING BENDING-TWISTING AND BENDING-TWSTING COUPLING ON THE BUCKLING BEHAVIOUR OF COMPOSITE PROFILES]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0089</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0089</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper presents a comparative analysis to investigate the effect of laminate stacking sequences with different couplings subjected to axial loading. The objective of this paper is also to demonstrate the effect of the various coupling stiffnesses on the stability behavior of laminated profiles. Five configurations with the same number of layers were selected. Based on Classical Laminate Theory (CLT), the complex effects of coupling that can occur in laminates were assessed. Their influence on the buckling mode and post-buckling behavior of the tested profiles was also assessed. By selecting these standard ply orientations, the study establishes a direct experimental comparison to assess the effect of Bending-Twisting (B-T) coupling and Extension-Shearing Bending-Twisting (E-S, B-T) coupling on buckling behavior of simply supported and axially compressed laminated profiles. The results enable correlation between laminate coupling coefficients and the observed buckling modes obtained from digital image correlation system and axial stiffness of Ω- and Z-profiles.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[ANALYSIS OF TRANSVERSE NATURAL VIBRATION  OF AVIATION TRANSMISSIONS  TOOTHED WHEELS WITH USING CYCLIC SYMMETRY PROPERTIES]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0090</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0090</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The paper discusses the issue of transverse natural vibrations of toothed wheels intended for operation in aviation power  transmission systems or in the transmission of aircraft engine aggregates. The discussion was conducted using wheels with straight, oblique and circular-arc teeth, as well as with a full wheel disc and a wheel disc with eccentric holes. In the analysis process, simplified toothed ring models were proposed for each gear in the form of rings made of a hypothetical material with satisfactory physical properties (equivalent values of Young’s modulus and the density). In the proposed models were also taken into account the properties of cyclic symmetry exhibited by the studied objects. The calculation process was carried out using the finite element method and the commercial ANSYS software. The influence of the type and size of finite element on the quality of the obtained results was also investigated. The main part of the work concerns the assessment of the usefulness of the proposed simplified models of the analyzed wheels in the vibration simulation process. In order to confirm the correctness of the simulation research methodology, for one of the analyzed wheel cases, the numerical simulation results were verified experimentally on a real object. The article concludes with remarks and conclusions regarding the obtained results. The issues presented in this paper may be useful in engineering practice related to vibrations of circularly symmetric systems (in particular, gear wheels).
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Autonomous Mobile Robots in Logistics and Supply Chain Management of Industry 4.0, A Review]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0084</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0084</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Industry 4.0 has revolutionized supply chain management and logistics through a concentration on automation, data interchange, and smart technologies. Autonomous Mobile Robots (AMRs) is advanced robotic applications in industry 4.0 which can provide flexibility, efficiency, and scalability in supply chain management. So, the integration of AMRs in advanced manufacturing, could provide cost-effectiveness production, and consumer satisfaction. AMRs can minimize delays by lowering reliance on humans, and guaranteeing real-time flexibility in response to customer demand fluctuations. Their unmatched flexibility, adaptability, and scalability in warehouse tasks like picking and sorting are made possible to function without predetermined routes and human involvement. Furthermore, by maximizing the usage of resources and minimizing negative environmental effects, AMRs play a crucial role in promoting resilience and sustainability. Thus, challenges from e-commerce expansion, sustainability concerns, and supply chain disruptions can be managed by using ARMs in part manufacturing. This review explores the role of AMRs in logistics and supply chain management within the industry 4.0 paradigm. Key topics in the study are ARMs integration with IoT, AI, and digital twins; optimization of operations such as order picking, inventory management, and last-mile delivery. Also, challenges and difficulties such as interoperability, cybersecurity, interoperability, regulatory constraints and high initial investment are critically analyzed in order to be analyzed and managed along with potential strategies. The review also addresses future research directions, focusing on human-robot collaboration, swarm robotics, advanced human-robot collaboration, fleet optimization, and the development of standardized protocols of robotic applications and the transition of ARMs to Industry 4.0. As a result, by analyzing the applications of AMRs in logistic and supply chain managements of production processes, novel models of robotic applications in advanced manufacturing processes of industry 4.0 can be proposed and discussed in terms of productivity enhancement of part manufacturing.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Optimization of Patch Shape for FGM Plates Using The NSGA-II Algorithm]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0087</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0087</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

In advanced composite structures, optimizing patch shapes is an important step towards improving the mechanical performance of Functionally Graded Materials (FGMs). The optimization of patch shapes was presented in this research for FGM plates using  an evoltionary algorithm method specifically the Non-dominated Sorting Genetic Algorithm II (NSGA-II) with a Pareto front. The purpose of the optimization was to minimize the mode I stress intensity factor (K1), an important contributor to crack growth and the overall integrity of structure. A multi-objective optimization was conducted with multiple patch designs. K1 was reduced between 0.95% to 70% while  maintaining the toughness of the plate some cases and varying the load condition on others. This suggests that the optimized patch shapes are capable of minimizing stress concentration and increasing the durability of FGM plates. This study has established a strong foundation for future research to be conducted on optimized patch shapes for FGMs.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[A CATMULL-ROM SPLINE BASED ANALYTICAL C3 CONTINUOUS TOOL PATH SMOOTHING METHOD FOR ROBOTIC MACHINING]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0088</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0088</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Tool path smoothness is critical for ensuring the dynamic performance of robotic machining systems, as it directly influences machining efficiency and quality. In recent years, spline-based methods (e.g., Bézier-spline, B-spline, NURB-spline, and PH-spline) have been widely employed to achieve tool path smoothing. However, most existing studies have focused on achieving only G2 or c2 continuity of tool paths, leading to discontinuous jerk behavior and resulting in high-order resonance frequencies within the machining system. Although some attention has been given to the need for C3 continuity in tool paths, synchronization between tool tip position and orientation remains suboptimal due to the complex, high-dimensional nonlinear kinematics of robotic machining systems. An analytical C3 continuous tool path smoothing method based on Catmull-Rom splines is developed in this study for robotic machining systems. The method smooths corners between adjacent discrete linear segments by inserting an adjustable Catmull-Rom (ACR) spline, with control points and adjustment parameters specifically designed to minimize deviation errors between the smoothed and original tool paths. Subsequently, the tool tip position and orientation are synchronized with the tool tip displacement, maintaining C3 continuity, by replacing the remaining linear segments with ACR splines. These splines' control points can be directly selected without requiring any iterative calculations, and synchronization error is guaranteed to be zero. The developed method involves a fully analytical calculation process, eliminating the need for iterative methods. Numerical simulations demonstrate that the tool paths generated by the developed method satisfy preset tolerances with smooth, continuous jerks in both workpiece and joint coordinate spaces, and that synchronization errors are indeed zero.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[DEVELOPMENT OF AN ELECTROMYOGRAPHY SIGNAL OPERATED BIONIC-HAND WITH PRESSURE AND TEMPERATURE SENSING ABILITY]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0082</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0082</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study presents the development of a surface electromyography (sEMG)-operated bionic hand equipped with pressure and temperature sensing capabilities. The primary objective is to restore functional hand movement and sensory feedback in amputees through a low-cost, customizable prosthetic system. The proposed device utilizes surface EMG signals acquired using a MyoWare sensor to control finger and joint actuation, with an Arduino UNO as the central processing unit. Pressure and thermal sensors are integrated to detect grip force and object temperature during real-time interactions. The bionic hand was designed using SolidWorks and fabricated via 3D printing with PLA material. Experimental validation demonstrates 98.2% motion accuracy, sub-second response time, and full repeatability in multiple test cycles. Despite minor limitations such as a 2% nominal error and susceptibility to environmental factors, the system shows no overheating or maintenance issues. The device represents a significant advancement in combining intuitive control with sensory feedback, making prosthetics more functional, responsive, and accessible.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Strength and Superplasticity of AA 7075 Aluminum Alloy Fabricated By Multidirectional Forging]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0083</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0083</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study explores the influence of multidirectional forging (MDF) on the mechanical strength and superplastic behavior of AA7075 aluminum alloy. The material, initially processed by hot extrusion, underwent severe plastic deformation (SPD) through MDF. Evaluations of mechanical enhancement were performed using both microhardness and tensile tests. After completing three and four MDF cycles, the alloy exhibited microhardness improvements of 48% and 60%, respectively. Corresponding increases in tensile strength were 22.45% and 40.8% relative to the untreated samples. Superplastic deformation experiments were carried out at 530 °C using strain rates of 10–4 S–1, 10–3 S–1, and 10–2 S–1. The superplastic characteristics were assessed through the measurement of elongation and flow stress during tensile loading. The best performance was achieved after four MDF passes at a strain rate of 10–3 S–1, yielding a maximum elongation of 350% and a flow stress of 9 MPa. These findings highlight the effectiveness of MDF in improving the strength and ductility of high-performance aluminum alloys while preserving their capacity for extensive plastic deformation.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Thermo-mechanical dynamics analysis of smart FG-GPL nanocomposite beams by DQ-FEM]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0081</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0081</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study investigates the free vibration behaviour of piezoelectric multi-layered functionally graded nanocomposite beams reinforced with graphene platelets (GPLs) under combined thermal and electrical fields. Different GPLs distribution patterns are considered to enhance the mechanical performance of the material. The effective properties are estimated using the rule of mixtures and the modified Halpin–Tsai model. The equations of motion are derived within the quasi-3D beam theory, accounting for shear deformation and stretching effects. For the numerical solution, the Differential Quadrature Finite Element Method (DQ-FEM) is employed, offering high accuracy and computational efficiency. Results reveal that increasing temperature and applied electric potential reduce the structural stiffness and natural frequencies, with the effect becoming more pronounced at higher GPL contents and piezoelectric coefficients. A comprehensive parametric study demonstrates the influence of GPL distribution, volume fraction, beam geometry, number of layers, and boundary conditions on the vibration response, highlighting the strong coupling between thermal, electrical, and mechanical fields in such smart nanocomposite structures.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Adaptive Hybrid LSTM-EKF Model for Reliable State of Charge Estimation in Lithium-Ion Batteries Under Noisy Conditions]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0085</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0085</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Accurate estimation of the state of charge (SoC) is crucial for ensuring the reliability, efficiency, and safety of lithium-ion batteries in electric vehicles and renewable-energy systems. However, conventional model-based and data-driven techniques remain sensitive to noise, modeling uncertainties, and nonlinear dynamics. This paper proposes an adaptive hybrid Long Short-Term Memory Extended Kalman Filter (LSTM-EKF) framework that integrates the predictive capability of deep learning with the real-time correction of model-based estimation. The main novelty lies in an adaptive fusion factor (αk) that dynamically balances the contributions of the LSTM and EKF according to their instantaneous confidence levels, enhancing both accuracy and robustness under noisy and time-varying operating conditions. A comprehensive comparative study including BiLSTM, LSTM-Attention, and EKF methods demonstrates that the proposed adaptive LSTM-EKF achieves the lowest RMSE and MAE, with accuracy improvements of approximately 70 % compared with standalone approaches. These results highlight the framework's strong potential as a scalable and noise-resilient solution for advanced battery-man-agement systems, contributing to improved energy efficiency, extended battery lifespan, and safer operation in electric-mobility and renew-able-storage applications.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Fusion of Day Light and Infrared Images: A Systematic Review of the State of the Art in EO/IR Gimbal Systems]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0086</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0086</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The development of a next-generation EO/IR Gimbal system is so rapid, and it is crucial to enhance the defence forces that require more reliable Intelligence, Surveillance, and Reconnaissance (ISR) capabilities. The possible outcomes of the development initiatives include improved target tracking, longer detection ranges, and higher image quality- all of which are essential in surveillance applications. To obtain precise object tracking in challenging situations, combined EO and IR camera images are used. Image fusion techniques enhance the features in these images; the fused images provide better tracking and detection capabilities in difficult-to-track scenarios. This survey offers an extensive investigation of image fusion methods. The evaluation of the fused image is also described as a crucial component, offering different ways to assess the quality of both full-resolution and reduced-resolution images. Finally, this work is concluded by going over the current constraints, issues, and problems with image fusion methods, datasets, and quality evaluation.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Analysis Of Portevin-Le Châtelier Effect Data Using Diffferent Sample Entropy Measures]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0080</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0080</guid>
            <pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This work is focused on calculating entropy measures for signals in order to identify Portevin-Le Châtelier (PLC) effect types. The PLC effect is a phenomenon occurring in metals, in particular steel and aluminum alloys, within a certain range of strain rates and temperatures. It is characterized by serrations (repetitive changes from hardening to softening) visible in a load-displacement diagram and associated strain rate bands moving through a sample. Three main PLC types are distinguished: A, B and C. Type A occurs in low temperature and for high strain rate, strain rate bands then propagate continuously. Type B occurs for medium temperature and strain rate, the bands then have a hopping character. Type C occurs in high temperature and for low strain rate, the bands then nucleate in a random manner. The entropy analysis is used as a way to distinguish the types. The so-called Sample Entropy, Sample Entropy 2d and Multiscale Sample Entropy are measures utilized in signal analysis to look for patterns in data. Sample Entropy takes into consideration only force values which need to be sampled at equal intervals. Sample Entropy 2D, on the other hand, also accounts for the distances between points. Multiscale Sample Entropy extends the standard approach by analyzing the signal across multiple time scales. For computations, experimental results in the form of load-displacement diagrams for tensile tests performed on bone-shape samples are used. The experimental tests have been performed in room temperature for three strain rates. The band types are first identified based on DIC data by band movement observation. It is found that for a high strain rate we observe type A, for a medium strain rate first type A and then type B and for a low strain rate type C. The Sample Entropy and Sample Entropy 2d measures for type C are low and for type A are high. Different behavior of those two types is also visible for higher time scales. It is also found that to assess type B of PLC effect more experiments are needed.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Sensorless Direct Torque Controlled Induction Motor Drive Utilizing Extended Kalman Filtered Rf-Mras]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0063</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0063</guid>
            <pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

In order to achieve high performance of sensorless direct torque controlled induction motor drive at medium and low speed regions in case of Gaussian-noised stator currents, extended Kalman filter is utilized. At first, sensorless control using rotor-flux-based model reference adaptive system is described. Then, extended Kalman filtering that uses full state-space model of the induction motor is employed to obtain estimated stator currents for the sensorless control. Unmeasured rotor fluxes in extended Kalman filtering are computed based on their relationship to estimated stator fluxes and measured stator currents. The estimated stator currents are utilized to compute input quantities for direct torque control. Simulations are deployed in case of both process and measurement noises of stator currents. Performance comparisons based on two indices: normalized integral of time multiplied by absolute value of speed difference and maximum value of absolute value of relative speed difference between two sensorless control methods with and without extended Kalman filter, are carried out. Through simulations in Simulink environment of Matlab software, theoretical assumptions are confirmed by the fact that the evaluation indices of the proposed method are decreased by at most 75% and 80% compared to the method without extended Kalman filter.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[A Dual-Antenna Mobile Robot Orientation Estimation System Based on Rssi Fingerprinting and Machine Learning Techniques]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0079</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0079</guid>
            <pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper introduces a switchable, dual-antenna Wi-Fi tracker that is based on an ESP32-ROOM-DA chip and a BNO085 IMU. The tracker is intended to estimate object orientation in confined spaces by utilizing fingerprinting techniques and differences in RSSI values. The research aimed to provide an alternative that does not necessitate magnetometer calibration or intricate antenna arrays, thereby eliminating the constraints associated with expensive AoA systems and magnetometers that are susceptible to interference. Experiments were conducted in a 5 x 5 m test area of a sports hall, with seven randomly distributed access points (APs) within the sports hall. Five APs were in the LOS (line of sight) zone, and two others, which were available in the building, were in the NLOS (non-line-of-sight) zone. The measurements were performed by a DJI Robomaster S1 robot, which was equipped with the tracker. Training data were collected at 100 points; 14 randomly selected locations were used for testing, with eight distinct orientations for every measurement point. During the measurement, the RSSI from both antennas of individual APs, as well as their SSIDs, was recorded. Additionally, the IMU quaternions were mapped to the cardinal directions (N, W, S, E). Four classifiers were trained using the features gathered: k-NN, SVM, Random Forest, and MLP. The k-NN classifier achieved the best performance (MCC 0.23, F1 score 0.39). The dual-antenna system can distinguish the cardinal directions, as evidenced by the results. However, it is imperative to balance the training dataset and collect a greater number of samples to reduce the effect of multipath and NLOS conditions. With more research, it is possible to use an expanded multi-antenna system and the newest Wi-Fi standards. Furthermore, modifications to the measurement process are planned to guarantee a balanced training set.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Advanced Modeling of Uav Dynamics Using Artificial Neural Networks and the Output Error Method]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0076</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0076</guid>
            <pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study presents an advanced approach to modeling Unmanned Aerial Vehicle (UAV) dynamics by integrating Artificial Neural Networks (ANNs) and the Output Error Method (OEM). Moreover, the research analyzes the longitudinal flight characteristics of the Multiplex FunCub R/C, using data from designed flight tests complemented by simulations incorporating sensor noise and drift effects. Furthermore, the study captures a comprehensive range of aerodynamic responses essential for precise system identification by employing a multistep elevator input signal. In addition, the OEM approach, a traditional parameter estimation method, offers robust statistical estimation by minimizing the discrepancies between measured and predicted outputs. However, due to the nonlinear complexities inherent in UAV flight dynamics, the study also explores ANNs, leveraging their capability to model intricate nonlinear behaviors without requiring predefined aerodynamic parameters. Subsequently, the performance of both methodologies is critically evaluated against measured aerodynamic coefficients, revealing ANNs’ superior adaptability in accurately predicting complex aerodynamic interactions compared to OEM. Consequently, results indicate notable reductions in relative error, particularly in challenging aerodynamic coefficients. Overall, this research not only highlights the comparative advantages of ANNs in UAV system identification but also lays an initial structure for future advancements in UAV modeling and control systems.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Validation of Matlab/Simulink Models Using Hardware Power System Simulator]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0062</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0062</guid>
            <pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The majority of studies concerning power system analysis is based on computer software and mathematical modelling. Such possibilities are provided by a wide range of engineering and research software including MATLAB/Simulink. Presented work focuses on Simulink library usage for analysing voltage distribution and power flow along typical radial electrical grid and their validation using hardware power system simulator. During the studies four different models of grid were designed, using four tools provided by Simulink: Simulink time domain simulation, Specialized Power Systems time domain simulation, Simscape Load Flow and Specialized Power Systems Load Flow. Analytical analysis, as a sort of another verification, has also been carried out. The obtained results prove that all models in general properly depict the test grid configured on the hardware simulator. However, some discrepancies in the outcome can be observed indicating, that Simscape Load Flow tools are more reliable regarding to load flow analysis specific. The paper is a sort of report describing identified advantages and disadvantages of tools provided by MATLAB/Simulink and their potential limitations in terms of load flow analysis.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Analysis of Stress Relaxation During Compression of 3D-Printed Samples Using Mex Technology and the Taguchi Method]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0067</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0067</guid>
            <pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The study investigated the impact of various Additive Manufacturing parameters in Material Extrusion technology on stress relaxation during compression using a biocompatible filament. The Taguchi method was applied for the analysis. The examined parameters included layer height, shell count (number of contours), nozzle temperature, print orientation, and overlap. The results enabled the assessment of how printing parameters influence elastic moduli and dynamic viscosity coefficients. It was determined that layer height and shell count have the most significant effect on the percentage decrease in stress over time.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Response Amplitude Operators of Tlp Floating Wind Turbine - Calculations and Experiments]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0073</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0073</guid>
            <pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The paper presents the results of experimental studies of the motion of a TLP type wind platform on a regular wave and the results of calculations in the Ansys AQWA program. Two different available methods of modeling additional damping related to viscosity were used, i.e. linear damping and quadratic (Morison) damping. The damping coefficients were determined based on RANSE CFD calculations of forced oscillations of the platform for different frequencies and amplitudes. The obtained values indicate that the use of the quadratic coefficient gives more accurate results. This is due to the fact that its value does not change significantly depending on the frequency and amplitude of the excitation, in contrast to the linear coefficient, where the observed differences are significant.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Application of an Ensemble of Convolutional Neural Networks for Human Recognition Based on the Ground Reaction Forces]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0078</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0078</guid>
            <pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

One of the biometric methods is human recognition based on ground reaction forces (GRFs) generated during a person's gait. Conventional methodologies for gait recognition have relied on the manual extraction of features from measured GRF signals, in conjunction with the utilization of machine learning algorithms. Recently, convolutional neural networks (CNNs) have become increasingly popular due to their ability to automatically extract features from signal data. However, the CNNs don’t always produce optimal results for human recognition. In this study, we emphasize a novel aspect of the approach: the use of an ensemble of homogeneous CNN classifiers, all sharing the same architecture but trained on different combinations of GRF components. This strategy leverages diversity originating purely from data representation rather than architectural variation, demonstrating that even identical CNNs can complement each other when exposed to distinct training data. The objective of this paper is to design a biometric system that recognizes humans based on GRFs and an ensemble of classifiers, in which the base classifiers will be CNNs. The study utilized a dataset for a total of 5,980 gait cycles from 322 individuals. The architecture of the base classifiers was consistent, and all possible combinations of GRF components were used to train the base CNNs. The optimal results were obtained when all six GRF components were used for CNN training, achieving a recognition rate of 96.57%. Combining seventeen base classifiers into a homogeneous ensemble further improved the performance, yielding a 99.57% correct recognition rate. This demonstrates the effectiveness of ensemble learning with identical CNN architectures in enhancing gait-based biometric recognition.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Analytical Solution of a Dissipative Flow Conveying Ternary Hybrid Nanofluids Induced By a Porous Surface with Lorentz Forces]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0061</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0061</guid>
            <pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The study presents a mathematical model to predict the impact of interfacial nanolayers on mass and heat transfer phenomena in ternary hybrid nanofluid (THNF) flow. It also investigates the effect of TiO2, SiO2 and Al2O3 in non-Newtonian biological fluids (i.e. blood) using porous surfaces. The study includes uniform transverse magnetic flux (MF) and reduces the nonlinear partial differential equations (PDEs) to ordinary differential equations (ODEs) using similarity transformations then solved analytically and numerically, the analytical method has been established using the Adomian Decomposition Method (ADM) and by the numerical procedure (Explicit Runge Kutta Method), the present findings in specified cases are compared to findings obtained by the Homotopy Analysis Method (HAM)-based Mathematica package and by the previous literature for validation. The research focused on the influence of active parameters on various parameters, numerically and graphically examining their impact. Results show that the velocity profile experienced a 20% enhancement in the channel centerline region when using a 0.5 unsteadiness parameter (α) together with M = 1 as the magnetic parameter value. This enhancement was possible through the 15% reduction in momentum boundary layer thickness. The heat transfer capabilities of ternary hybrid nanofluids containing 2% nanoparticle volume fractions boost the performance by 25% better than pure base fluids.
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            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Analysis of Carbon Nanotube-Reinforced Composites Subjected to Impact Loads By the Bem]]></title>
            <link>https://sciendo.com/article/10.2478/ama-2025-0066</link>
            <guid>https://sciendo.com/article/10.2478/ama-2025-0066</guid>
            <pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The main objective of the work is to present a new formulation of the boundary element method (BEM) for the analysis of dynamically loaded composites reinforced with straight, thin, and perfectly rigid fibers. The matrix is assumed to be homogeneous, isotropic, and linear-elastic. A perfect connection between the fibers and the matrix is assumed. The time-dependent problem is solved using the Laplace transform method. In this original approach, contrary to the finite element method (FEM), only external boundaries of plates and fibers are divided into boundary elements. Because only the boundaries are discretized, it is very easy to modify the length and distribution of the fibers. The proposed method was applied to the analysis of displacements of composites reinforced with carbon nanotubes (CNTs) subjected to impact loads. Three numerical examples of composites with single- and multiple-nanotubes are analyzed. For each plate, two different boundary conditions are imposed. The displacements computed by the BEM and FEM are compared, demonstrating the high accuracy of the method. Analysis of the influence of the number of boundary elements on the accuracy of the solution demonstrates a fast convergence of the method. The examples show the influence of boundary conditions, the influence of load variability in time, the distribution of nanotubes, and their length on displacements. For the assumed reinforcement, a significant reduction in displacements was obtained.
]]></description>
            <category>ARTICLE</category>
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