IEEE

Design of a Framework for Machine Learning-Based SNR Prediction and Physics-Guided Neural Network for Adaptive Modulation in Underwater Optical Wireless Links

Abstract: Due to massive developments in underwater applications, the scarcity of bandwidth resources for underwater communication has fuelled the need for more advanced technology in the field of ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
IEEE

Machine Learning-Based Intrusion Detection in Electric Vehicles with Hybrid Deep Neural Networks

Abstract: Security problems, especially in the deployment of Internet of Things (IoT) devices, have grown in tandem with the paradigm shift towards integrating ordinary activities into the IoT. Thanks ...
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
IEEE

Using Kolmogorov–Arnold Networks in Transformer Model: A Study on Low-Resource Neural Machine Translation

Abstract: Neural machine translation is one of the most significant research area with the widespread use of deep learning. However, unlike other problems, machine translation includes at least two ...
IEEE

EEG Based Depression Detection Using Machine Learning and Deep Neural Network

Abstract: The research presents a modern approach to depression diagnosis through Electroencephalography signal analysis using deep neural network and other machine learning technologies. Department ...