IEEE

MSNCIL: A Domain-Agnostic Class-Incremental Learning Method Tailored for Automatic Modulation Recognition

Abstract: The emergence of new modulation types in 6G challenges the adaptability of deep learning-based automatic modulation recognition (DL-AMR) models. This letter presents multi-state neuron class ...
Scientific Research Publishing

Secure Offline: A Hardware-Bound Cryptographic Framework for Software License Validation in Internet Constrained Educational Environments ()

The system employs HMAC-SHA256 (Hash-based Message Authentication Code using SHA-256) for license integrity verification. SHA-256 refers to the Secure Hash Algorithm producing 256-bit hash values (see ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
IEEE

DDoS Attack Detection in IoT: A Comparative Resource and Performance Analysis of Deep Learning and Machine Learning Models

Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...