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Advanced control of five-phase PMSM using combined fractional-order super-twisting algorithm with modified SVM approach
Article

Advanced control of five-phase PMSM using combined fractional-order super-twisting algorithm with modified SVM approach

Mehedi, Fayçal, Yousfi, Abdelkader, Bouyakoub, Ismail, Reguieg, Zakaria
Intelligent DRL-assisted decoding of error-correcting codes for 5G/6G telecommunication channels
Article

Intelligent DRL-assisted decoding of error-correcting codes for 5G/6G telecommunication channels

Boiko, Juliy, Pyatin, Ilya, Eromenko, Oleksander
Volume 3 (2025): Issue 2 (December 2025)
Issue

Volume 3 (2025): Issue 2 (December 2025)

Design and analysis of a single-stage cascode LNA for S-band application in 180-nm CMOS technology
Article

Design and analysis of a single-stage cascode LNA for S-band application in 180-nm CMOS technology

Kumar, Manish, Sharma, Abhishek, Chaturvedi, Abhay, Gupta, Manish, Singh, Rajesh Kumar, Ladkani, Jyotsna
Volume 50 (2025): Issue 4 (December 2025)
Issue

Volume 50 (2025): Issue 4 (December 2025)

Volume 76 (2025): Issue 6 (December 2025)
Issue

Volume 76 (2025): Issue 6 (December 2025)

f-divergence Analysis of Generative Adversarial Network
Article

f-divergence Analysis of Generative Adversarial Network

Hasan, Mahmud, Sang, Hailin
Compact and efficient realization of fractional-order filter using admittance equalization-based fractional device
Article

Compact and efficient realization of fractional-order filter using admittance equalization-based fractional device

Sharma, Vidip Raj, Mangal, Priyansh, Rai, Shireesh Kumar, Mishra, Shalabh Kumar
Volume 7 (2025): Issue 1 (December 2025)
Issue

Volume 7 (2025): Issue 1 (December 2025)

Volume 10 (2025): Issue 4 (December 2025)
Issue

Volume 10 (2025): Issue 4 (December 2025)

Comparison of Existing Methods for Purifying Gases from Ship Propulsion Engines
Article

Comparison of Existing Methods for Purifying Gases from Ship Propulsion Engines

Uspenskis, D., Bronowski, P., Semeniscevs, A.
Reduced Order Modelling for the Drone Flow Field: Autoencoder-Driven Nonlinear Compression Versus Pod
Article

Reduced Order Modelling for the Drone Flow Field: Autoencoder-Driven Nonlinear Compression Versus Pod

Ralla, R.