Zendy | AI-Powered Research Library

• Ethical AI Audits: Preventing Algorithmic Discrimination in Substance Abuse Referrals
• On Amount of Fading and Ergodic Channel Capacity of Terahertz Communications Using Compound Channel Model
• IoT-Enabled Dynamic Load Profiling and Real-Time Tariff Optimization for Smart Energy Management
• Enhancing RAG Systems with Answer-Guided Question Augmentation
• Improving SAR Automatic Target Recognition via OOD Background-Aware Data Generation
• Joint Power and Bandwidth Allocation Scheme Based on Multi-Timescale Beam Hopping Scheduling for LEO Satellite Systems
• A Multilingual Transformer Based Framework for Phishing Email Detection and Deployment in Real-World Pipelines
• Code Sphere Ledger: A Blockchain-Based Freelancing Ecosystem Leveraging Smart Contracts and NFTs for Trust and Transparency
• Capturability as Controlled-Invariant Sets: Recursive Feasibility for Variable-Stepping Time S2S NMPC
• Benchmarking Statistical and Deep Generative Models for Assessing Synthetic Data Quality and Predictive Performance
• A Novel Design for Private Information Retrieval with Logarithmic Client Overhead
• Blockchain-Enabled IoT Biometric Pad for Secure Digital Rental Agreements with eStamp Integration
• Edge Computing and Information Fusion Algorithm for Water Environment Monitoring Network
• Design of a Deployment Algorithm for Hybrid Communication Networks Based on Comprehensive Performance Evaluation
• Structure-Aware Multi-Task Learning for Robust Vision-Language OCR
• A 24.1–31.8-GHz Ultracompact LNA With Dual-Stage Noise Cancellation by Multicoil Transformers
• Composite Organic Dyes as Green Sensitizers for Dye-Sensitized Solar Cells
• A Phase Change Coupled Model for Plasma Arc Erosion on SF 6 Circuit Breaker Electrodes under Turbulent Flow
• Hybrid Deep Learning – Based Process Big Data Mining for Complex Workflow Analysis
• DHVQ: Dynamic Codebook Learning with Hierarchical Quantization for Efficient Neural Image Compression
• Object Recognition for Visually Impaired Individuals Using Machine Learning with Feedback Mechanism in Real-Time
• A Scalable IoT-Based Real-Time Seismic Monitoring Framework with Dual-Threshold Decision Stabilization
• Predictive Modeling of Malaria and Dengue Outbreaks Using Multi-Modal Machine Learning and Climate-Health Data Integration
• Effective Intrusion Detection in Industrial IoT Networks Using a Hybrid GAN-CNN Framework
• Multimodal Interest-Tree Based Negative Enhancement for Recommendation
• Spark-Based Optimized IPO Recommendation System Using LLM-Driven Data Extraction and Parallel Scoring
• Enhancing Brain Tumor Image Prediction Efficiency Using ResNet-50-Based Deep Feature Extraction
• ResQNow: An Intelligent AI–AR Integrated Emergency Response System with Offline Communication Capability
• AI Governance Models for Secure and Ethical Deployment in Cyber security and IT Risk Environments
• Design and Development of a Low-Cost Scalable GSM-IoT Smart Pet Feeder with a Remote Mobile Application
• Diffusion-Based Restoration for Multi-Modal 3D Object Detection in Adverse Weather
• Blockchain Enabled Distributed Trust and Security Framework for Achieving Infrastructure Resilience in Decentralized and Hyperconnected Smart Cities
• An Enhanced Early Alzheimer’s Detection Model Using a Hybrid Decision Tree–SVM Framework
• Research on Power Load Forecasting Method Based on Peak-Aware Multi-Scale Adaptive Gated LSTM
• Federated Reinforcement Learning for Adaptive Cyber Threat Defence
• Data Insights into New Energy Battery Materials Based on Numerical Simulation Algorithms
• Wildfire Risk Prediction using an IoT Sensing Architecture and Fuzzy-Logic-Driven Inference
• A U-Slotted THz MIMO Antenna: A Compact and High-Performance Solution for Future 6G Communication
• A Spiking Neural Image Encryption Scheme with Structured Keystream Generation
• Cross-Attention Fusion Network for Hyperspectral-SAR-RGB Multimodal Remote Sensing Semantic Segmentation
• Road Lane Detection System Using OpenCV By Enhancing Input Quality
• Explainable AI Framework for Transparent EEG Artifact Detection and Removal
• A Model-based Visual Contact Localization and Force Sensing System for Compliant Robotic Grippers
• Research on Logistics Cost Control and Optimization in Automotive Manufacturing Supply Chain Based on DMAIC Model
• A Unified Generative AI System for Synthetic Image Creation and Detection
• Solar-Powered NPK Detection System for Precision Agriculture
• A Dual-Mode Cryptosystem Based on AES-256 a Key Generated by GEFFE to Secure Images.
• IoT and Analytics-Enabled Management of Passive Movements for Paraplegic Rehabilitation
• Low-Prediction-Error Model-Free Predictive Current Control for SPMSM Drives Using Second-Order Difference of Currents
• AI-Driven Urban Waste Reporting and Tracking Platform Using Deep Learning
• GraphRAG-Driven Multi-Stage Context Retrieval for Thai Text-to-SQL Using SLM Agents
• Robust GNSS/VIO Tightly-Coupled Positioning via Deep Reinforcement Learning-Optimized Kalman Gain Scheduling
• Metamaterial-Wall-Assisted Benzene-Shaped CSRR Tri-Band MIMO Antenna with Parallel Aligned Slots for Isolation and Gain Enhancement
• Beam Management and Optimization for 5G/B5G Wireless Networks Using Machine Learning
• Unpaired Adverse-Weather Image Translation Using GAN Architectures with XAI-Driven Interpretability Across Multi-Domain Conditions
• Hybrid GRU-Based Pointer-Generator Model for Legal Clause-Level Summarization
• Structural Strength Prediction and Experimental Verification of Key Aircraft Components Combined with Neural Network
• Local Safety Filters for Networked Systems via Two-Time-Scale Design
• An Adaptive Multi-Agent System for Real-Time, Priority-Based Traffic Regulation
• Real Time Stampede Prevention Using Crowd Density Estimation and Alert System
• Defect Detection in Solar Photovoltaic Panels using Computer Vision
• Navigating Urban Mobility
• Optimization of a Low-Complexity SOQPSK Demodulation Algorithm Based on Improved Decision Feedback
• Load Forecasting of Electric Vehicle Charging Station Using Combined Features Data: Machine Learning Approach
• Techno-Economic Assessment of Hydrogen Integrated Hybrid Renewable Systems for Island Applications
• Deep Learning for Cotton Leaf Disease Detection: Comparative Analysis of MobileNetV2 and ResNet50
• Deep Learning-Based Aerial Object Detection and Classification Using YOLOv8 and ResNet
• Prediction of Energy Consumption Patterns of Smart Buildings Based on Data Mining Algorithm
• Temporal Knowledge Graph Entity Alignment Method Enhanced by Large Language Models
• Optimized Elevator Systems Group Control Using Genetic Algorithms
• Velocity-Driven Fall Detection: A Drift-Corrected Feature Extraction Methodology for Wearable IMU Systems
• Visuo Linguistic Scene Memory AI Towards Human Like Episodic Recall in Machines
• PSO-Optimized Transformer for Intelligent Routing in Space-Air-Ground Integrated Communication Networks
• Adaptive Global Secure Control for Nonlinear Cyber-Physical Systems Under Deception Attacks
• Distributed Congestion Accounting and Auditability for Traffic Control Networks
• Robust Sliding Mode Control for Trajectory Tracking of an Autonomous Mobile Robot
• Control and Optimal Energy Management for a Pump, Battery, and Photovoltaic System Connected to the Electrical Grid
• Time Series Prediction of Humidity in Greenhouse Using GRU Neural Network Architectures
• Speech Emotion Recognition Using Multi-Domain Acoustic Features and Hybrid Machine Learning Model
• Adaptive Robust Self-Triggered Control of Polynomial Fuzzy Systems with Time-Varying Uncertainties and Communication Delays
• Dynamic Synthesis of Indian Sign Language: A Real-Time Procedural Animation Pipeline for Cross-Platform 3D Avatars
• A 1GS/S 10Bit Time-Interleaved SAR ADC
• Globally Guided Reactive Motion Planning for Non-Prehensile Transport in Cluttered Space
• Power Line Bird Detection Method Based on Improved YOLO
• A Cloud-Edge Collaborative IoT Architecture for Intelligent Indoor Air Purification: System Design and Development
• Advanced Deep Learning Framework for Highly Accurate Infant Cry Signal Classification
• Personalized Nutritional Guidance for Optimized Health
• BanglaMM-Disaster: A Multimodal Transformer-Based Deep Learning Framework for Multiclass Disaster Classification in Bangla
• Emoception: Selective Affective Layer Fine-Tuning of Video Vision Transformers for Player Arousal Change Recognition from Gameplay Footage
• Design and Implementation of a Web-Based Digital Twin for Solid Waste Sorting Systems
• SVM-Enhanced Graphene Terahertz Biosensor for Accurate Cervical Cancer Detection
• Classification Prediction Based on the Type of Knowledge Source Generated by Machine Learning Algorithms and the Recall Rate of Retrieval to Assess the Degree of Satisfaction of Users' Intentions
• Optimizing Social Media Networks to Mitigate Echo Chambers Using Memetic Algorithm
• Enhancing Cybersecurity in IoT-Integrated Smart Grids Using Federated Learning and Quantum Encryption Techniques
• Real-Time Adaptive Self-Calibration of Automotive MIMO Radars Using Machine Learning
• Probabilistic Collision Risk Estimation through Gauss-Legendre Cubature and Non-Homogeneous Poisson Processes
• FocusImb-YOLO11: Small Object Focusing and Class Imbalance Adaptive Learning Network for Sonar Imagery
• A Triple-Mode OFB-CTR-CBC Cryptosystem Based on AES-256 to Secure InSAR Interferograms
• Single Cavity SIW Band-Pass Filter Using CSRR for WiFi 6E Applications
• Maternal Health Risk Assessment with Interpretable Machine Learning: Evidence from Bangladesh