IEEE

A Scalable and Secure Facial Recognition Attendance System Leveraging CNN Algorithms for Real-Time Accuracy and Efficiency

Abstract: The facial recognition attendance system represents a modern approach to attendance tracking, designed to improve efficiency, accuracy, and security in various organizational settings.
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 ...
IEEE

Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

ZAC Cognitive Explainable-AI for Situational Awareness recognized as far superior algorithm to achieve Self-Driving Level-5 than Neural Nets

Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) software startup, has been recognized as far superior to the current algorithms ...
IEEE

A Reinforcement Learning-Driven Algorithm for Rapid Path Replanning of Robot Navigation in Indoor Uncertain Discrete Environments

Abstract: In the context of indoor dense discrete environments, the rapid replanning of paths upon encountering novel obstacles has remained a formidable challenge. Traditional rule-based global path ...
IEEE

Multi-Scenario Task Offloading Algorithm Based on Meta-Reinforcement Learning

Aiming at the problem of task offloading in multiaccess edge computing (MEC) scenarios, this paper proposes a meta-reinforcement learning (Meta-RL)-based computational task offloading method. The ...
IEEE

MPDA: A Massively Parallel Learning and Dependency-Aware Scheduling Algorithm for Data Processing Clusters

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
IEEE

Energy Harvesting and Performance Enhancement of UAV-RIS-assisted Marine IoT: A Deep Reinforcement Learning Algorithm

Abstract: This study addresses the issues of limited communication coverage and high energy consumption of unmanned aerial vehicles (UAVs)-reconfigurable intelligent surface (RIS)assisted maritime ...
IEEE

Strategic and Sustainable ERP Decision Framework: Integrating Multi-Criteria Analysis with Deep-A-CNN-LSTM Models in Corporate Strategy

Abstract: Customizing enterprise resource planning (ERP) software to meet a company's unique operational requirements is a crucial consideration throughout implementation. It offers a framework in ...
IEEE

Classification of Epileptic Seizures Disorder Using CWT and Deep Learning Algorithm from Electroencephalograms

Abstract: An epileptic seizure is characterized by spontaneous, recurrent abnormal activity in the central nervous system, often presenting clinically as unusual motor, sensory, or psychomotor ...
IEEE

Domain-Aware Transfer Learning With SAM-Assisted Mask R-CNN for Urban Tree Crown Delineation From UAV Orthophotos

Abstract: Accurate tree crown delineation from very high-resolution UAV orthophotos in urban areas remains challenging due to landscape complexity and the scarcity of representative annotated data.
IEEE

Algorithms on Electrical Impedance Tomography, Focusing on Deep Learning Architectures and Their Implementations: A Review

Abstract: Electrical impedance tomography (EIT) has garnered increasing attention in recent years, across different domains, as a promising alternative to traditional imaging techniques like X-rays ...