Challenges in Predicting Smart Grid Stability Linked with Renewable Energy Resources Through Spark MLlib Learning
Amal Zouhri, Ismail Boumhidi, Ismail Boumhidi, Abderahamane Ez-Zahout, Said Chakouk, Mostafa El Mallahi
Enhancing Efficiency And Security In Healthcare IoT: A Novel Approach For Fog Computing Resource Optimization Using TGA-RNN
Rahul Jaywantrao Shimpi, Vibha Tiwari
Partitioning of Complex Discrete Models for Highly Scalable Simulations
Jakub Ziarko, Mateusz Najdek, Wojciech Turek
Finding the Sweet Spot: A Study of Data Augmentation Intensity for Small-Scale Image Classification
Windra Swastika
Skin Impedance Analysis for Drug Delivery: Integration of Poisson–Boltzmann–Nernst–Planck Model and Ebola Optimisation Algorithm
L Maceal Tony, R.S Shaji
Using the Characteristics of the Sample Range of Repeated Observations of a Measurand to Estimate Its Numerical Value and Type A Standard Uncertainty
Igor Zakharov, Olesia Botsiura
DEEP-BTS: Deep Learning based Brain Tissue Segmentation using ResU-Net Model
P Sivaprakash, J Banumathi, Ashis Kumar Mishra, P Jayapriya
Evaluating the Detection Performance of a Drug Screening Device
Luděk Král, Jiří Tesař
A Novel Scalable Trust-Aware Deep Reinforcement Learning Algorithm for Energy-Efficient and Secure Routing in Software-Defined Wireless Sensor Networks for IoT
Jasmine Alponse, C Yaashuwanth, K Prathibanandhi
Statistical Characterisation of GNSS Data for a Stationary Receiver using Non-Gaussian Distributions
Abu Bantu, Józef Wiora
AD-HOLDER: Alzheimer’s Disease Detection via Machine Learning based Histograms of Light GBM Classifier using MRI and PET Images
S Mahalakshmi, K Valarmathi
Prevalence, risk factors and genetic diversity of Chlamydia felis in cats
Monika Szymańska-Czerwińska, Kinga Zaręba-Marchewka, Michał Woś, Ireneusz Balicki, Jowita Zwolska, Barbara Kuduk, Krzysztof Niemczuk