Scientific Research Publishing

Intelligent Agents in Cybersecurity: Deep Learning to Analyze User Behavior Applying ()

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Scientific Research Publishing

Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience ()

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
IEEE

A Comparative Analysis of Machine Learning and Deep Learning Techniques

Abstract: In today's world, the most popular technology used is Artificial Intelligence along with machine learning and deep learning depending upon the applications. Although, Artificial Intelligence ...
IEEE

A Multimodal Deep Learning Model Integrating CNN and Transformer for Predicting Chemotherapy-Induced Cardiotoxicity

Abstract: Chemotherapy-induced cardiotoxicity presents a major risk to cancer patients, often leading to severe cardiac complications such as heart failure, myocardial infarction, and arrhythmias.
WFMZ-TV

CNN Launches New Show – What to Know About Host Elex Michaelson

CNN is preparing to debut a brand new show on Monday (October 27), as The Story Is with Elex Michaelson will premiere in the 9 pm PT/12 am ET slot on CNN and CNN International. The slot typically ...
IEEE

Securing Healthcare with Deep Learning: A CNN-Based Model for Medical IoT Threat Detection

Abstract: The increasing integration of the Internet of Medical Things (IoMT) into healthcare systems has significantly enhanced patient care but has also introduced critical cybersecurity challenges.
IEEE

Adversial Learning Through GAN and Feature Extraction Through CNN for Deep Fake Detection

Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
IEEE

An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification

Abstract: Bean rust and angular leaf spot pose significant challenges to bean cultivation, impacting yields. Prompt disease identification maximizes productivity, but traditional methods need ...
IEEE

Real-Time Detection of Unusual Activities Using CNN and Deep Learning

Abstract: With the evolution of technologies like artificialintelligence and machine learning and deep learning, video surveillance is increasing in today's globalised society. Using these ...
IEEE

Deep Learning-Based Classification of Coconut Leaf Diseases Using Optimized CNN Models

Abstract: Leaf diseases of coconut severely affect the yield and quality of the crops. Early detection is imperative for any control measures to be effective. Here, an approach on the deep ...
IEEE

Deep Learning-Augmented Sleep Spindle Detection for Acute Disorders of Consciousness: Integrating CNN and Decision Tree Validation

Abstract: Sleep spindles, which are key biomarkers of non-rapid eye movement stage 2 sleep, play a crucial role in predicting outcomes for patients with acute disorders of consciousness (ADOC).
IEEE

Iron Ore Information Extraction Based on CNN-LSTM Composite Deep Learning Model

Abstract: In the mining, processing, and use of minerals, iron ore information identification is crucial. Traditional determination techniques are always accompanied by problems including lengthy ...