- Explainable Credit Score Risk Analysis: Integrating Outlier Detection and Ensemble Modelling
- Emerging 5G, IoT and WSN: Opportunities, Challenges and Remedies
- Explainable AI (XAI) Using SHAP and LIME for Financial Fraud Detection and Credit Scoring
- Predictive Method of Charge Storage Memory Degradation on a Dedicated 4kb Test Vehicle
- Covert Communication in Blockchain: A Survey
- High-Performance Digital Circuit Architectures for Accelerated Number Theoretic Transform Computation
- An Event-Aware Dual Representation Model with Mixture-of-Experts for Serious Adverse Events Prediction in Clinical Trials
- Adaptive MobileNet Framework for Human Signature Recognition
- A Cascade Deep Neural Network Approach for Oil Spills Classification and Detection
- Fake News Detection in Social Media: a Bertpowered Hybrid Classification Approach
- SoK: What Makes Private Learning Unfair?
- High-Performance Implementation Architecture for Additive Homomorphic Encryption Algorithms on FPGA
- Hi-ALPS - An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
- Weighted Average Transfer Loss: A Key Parameter for Effective Sound Quality Prediction
- Trustworthy AI for 6G-IoV: A Privacy-Preserved Distributed Multiagent Federated DRL for Dynamic Electric Vehicle Charging and Task Offloading
- FairDP: Achieving Fairness Certification with Differential Privacy
- Adaptive Water Resource Allocation in Smart Agriculture using Time-Varying Bayesian Networks
- WakeMint: Detecting Sleepminting Vulnerabilities in NFT Smart Contracts
- A Survey on Automatic Assertion Miners
- AI-Powered Sound Energy Harvesting System
- Timber! Poisoning Decision Trees
- Rethinking Knowledge Distillation in Collaborative Machine Learning: Memory, Knowledge, and Their Interactions
- Get My Drift? Catching LLM Task Drift with Activation Deltas
- Fast and Robust Channel Estimation for HMIMO: A Graph-Based Wavenumber-Domain Approach
- Real-Time Status Update System in A Parallel Blocking Queue
- SoK: Fair Clustering: Critique, Caveats, and Future Directions
- Automatic Webpage Content Extraction Based on Structural and Semantic Features
- Traceable S-Parameter Measurements Up to 165 GHz Using 0.8 mm Coaxial Standards
- Explainable AI Frameworks for Large Language Models in High-Stakes Decision-Making
- Caskow: Context-Aware Stance Detection Using External Knowledge-Augmented LLM
- Land Cover Classification using Satellite Imagery and Machine Learning Algorithm
- Air Quality Monitoring System Using Arduino
- AI-Enhanced Anomaly Detection in Software-Defined Networks
- A Detailed Approach to Persian Sentiment Analysis Using Fine-Tuning Strategies
- Impact of Halo Doping on the Electrical Performance of Gate-All-Around Field Effect Transistors (GAAFETs)
- A Novel Hybrid Algorithm for Automated Schizophrenia Detection using EEG Signals and Deep Learning
- IoT-UAV Enabled Intelligent Resource Management in Low-Carbon Smart Agriculture Using Federated Reinforcement Learning
- Hybrid ResNet-YOLOv5 Based Deep Learning Framework for Animal Monitoring in Ecosystem
- Compact Modified Mikaelian GRIN Lens Antenna with Gain and Bandwidth Improvement
- Quantify Gas-to-Power Fault Propagation Speed: A Semi-Implicit Simulation Approach
- Energy-Efficient User Association and Sub-Channel Allocation in Ultra-Dense Networks: A Clustering-Based Approach with LSTM-Driven Channel Prediction
- Robotic Wire Arc Additive Manufacturing With Variable Height Layers
- A Surrogate-Assisted Continuous Ant Colony Optimization Method for Stochastic Optimization
- Theory and Experiment on Adaptive Group Time-Varying Formation Tracking Control for Unmanned Swarm Systems via Networked Game
- A survey of non-learning-based abstractions for sequential decision-making
- Flower Classification: A Comparative Study of ML Algorithms in Orange
- Gazelle Optimization Algorithm-Improved SqueezeNet-based Deep Learning Model for Computer Aided Cervical Cancer Diagnosis
- Strengthening SUPI Security in 5G Core Networks for Non-Public Applications
- A Typology of Decision-Making Tasks for Visualization
- Distant Domain Transfer Learning for Medical Image Classification: A Review
- Fully Distributed Formation Control of Autonomous Surface Vessels via Non-Cooperative Game Approach
- Generation Z's Approach to Digital Investment Intentions from E-Business Practices
- Electrifying Heavy-Duty Trucks: Battery-Swapping vs Fast Charging
- Robust Solar Powered DC Drive for Electric Vehicles
- Research on the Training Path of Compound Civil Engineering Talents Under the Guidance of Safety and Emergency Management Needs
- Blockchain-Based Railway Ticketing: Enhancing Security and Efficiency with QR Codes and Smart Contract
- Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images
- Unraveling the Nexus of Organizational Practices,Workforce Composition, and Productivity: Insights from Brazilian Administrative Data
- When Mitigating Bias is Unfair: Multiplicity and Arbitrariness in Algorithmic Group Fairness
- Efficient Human Activity Recognition through Multi-Sensor Data and Deep Learning Techniques
- Template-Order driven Feature Integration with Generative Models for Aspect Sentiment Triplet Extraction
- Enhancing WMMSE With EVM Feedback Through Bayesian Optimization
- Evaluating the Impact of Multimedia Content on Concept Transfer from User Experience Perspective
- Scalable Anomaly Detection and Pattern Mining in Iot Aquaponics Systems Via Federated Learning
- Machine Learning-Enhanced Dual Axis Solar Tracking with Weather Monitoring for Rural Electrification
- Power Converter Decentralized Specifications in Different Grid Nodes for DC Distribution Systems
- Dynamic Event-triggered Model Predictive Control for Nonlinear Discrete Cyber-Physical Systems with Hybrid Attacks
- Machine Learning Algorithms for Nondestructive Sensing of Moisture Content in Grain and Seed
- SoK: On the Offensive Potential of AI
- ML-Based Behavioral Malware Detection Is Far From a Solved Problem
- Advancing Cardiovascular Research: A Tailored Knowledge Graph Schema for Scholarly Data
- Detection of Attacks with an Adversarial Machine Learning Approach
- Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity
- Road Marking Sign Damage Detection and Classification Using Deep Learning and Fuzzy Method
- Predicting Breast Cancer by Analysing Wisconsin Dataset Through Machine Learning Algorithms Using Orange Tool
- A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery
- A Platform-agnostic Solution for a Pluggable and Customizable Approach to Zero Trust Architecture
- Re-Architecting Traffic Control in Cross-Datacenter RDMA Networks
- Employee Retention and Layoff Prediction Using Machine Learning: A Comparative Study of XGBoost and KMeans
- Feature Selection Optimization in High-Dimensional Data: A Hybrid Approach Based on Botox Optimization Algorithm and Q-Learning
- Real-ESRGAN in Neural Rendering Frameworks for High-Fidelity Video Upscaling
- A Study of Logistics Customer Service Satisfaction Evaluation in the Context of Human-Robot Collaboration: Compatibility of AI Self-Service Q&A Robot
- Robust Beamforming Design for Active Sub-Connected RIS Assisted Cell-Free MIMO Systems: A Two-Stage Distributed Approach
- Identifying the Challenges of Using Artificial Intelligence in Providing Healthcare Services: A Systematic Review
- Application of Generative Artificial Intelligence in Simulating Virtual Tourism Experiences: Examining the Impact on Post-COVID Tourist Behavior
- A Kinematic Constrained Batch Informed Trees algorithm with varied density sampling for mobile robot path planning
- Resolution Equation for SAR Systems Synthesizing Circular Aperture
- Interpretive Structural Modeling of Uncertainty Reduction Factors in Social Commerce
- Fraud Detection in Banking Transaction Network Using a Hybrid Deep Learning Method
- ACORD: ANOVA Context Aware Relation Extraction from Textual Data
- S 3 A-NPU: A High-Performance Hardware Accelerator for Spiking Self-Supervised Learning With Dynamic Adaptive Memory Optimization
- LLM-assisted Performance Estimation of Embedded Software on RISC-V Processors
- Homotopic Approach for High-Fidelity Convex Low-Thrust Trajectory Optimization
- On the Reliability of Membership Inference Attacks
- IOT-Driven Precision Mycoculture Control System for Small-Scale Mushroom Farming
- AlphaGrad: Normalized Gradient Descent for Adaptive Multi-loss Functions in EEG-based Motor Imagery Classification
- Hospital Bed Vacancy Detection using Depthwise Separable CNN
- Hybrid VLSI Design for AES Cryptography with Pipelined Architecture
- HALO: Robust Out-of-Distribution Detection via Joint Optimisation
- Advancing Smart Grid Dispatchability Through Multi-Objective IoT and Blockchain Integration