Zendy | AI-Powered Research Library

• Broadband High-Harmonic Multiplying Gyro-TWT in Terahertz Regime
• Crash-Risk-Aware Integrated Predictive Control in Emergency Conditions for Intelligent Vehicles
• Interactive Yarn-Level Appearance Synthesis via Directional Deformation Filtering Without Explicit Yarn Modeling
• AI-Enabled Intelligent Monitoring System for Medication Adherence and Lifestyle Management
• A Hybrid ICA–Spectral Scoring Framework for Robust Non-Invasive Fetal ECG Extraction
• Intelligent Classification of Educational Outcomes Using Machine Learning Algorithms
• Three-Dimensional Improved Vortex Radar Imaging Based on Multiple Signal Classification Algorithm
• An Adaptive AI-Driven Threat Intelligence Framework for Proactive Cyber Defense in Dynamic Healthcare Information Systems
• Trustworthy AI for Predictive Analytics under Missing Data
• IoT-based Intelligent Waste Monitoring System using a Hybrid CNN–LSTM Deep Learning Model
• Machine Learning Driven Dynamic Power Management for IoT Processors Using gem5 Simulation
• A Novel Machine Learning Framework for Detecting and Correcting Gender Bias in Predictive Models
• A Text-Based Hybrid Machine and Deep Learning Framework for Autism Spectrum Disorder Detection
• Explainable AI for Predicting and Understanding Teen Cyber Risks
• SenseHD: A 40 μ W 8-bit Accelerator Wake-Up Circuit for Always-on Smart IoT Sensor Monitoring
• A Configuration-Driven Metadata Harmonisation Framework for Reproducible Multi-Database Mammography Research
• A Mobile-Based Food Ordering System with Enhanced User Experience and Usability: Design and Evaluation of JETFOOD
• Radiomics and Artificial Intelligence in Thyroid Cancer Staging and Prognosis
• IoT-Enabled Smart Pill Dispensing System for Enhanced Medication Adherence and Remote Monitoring
• Machine Learning Framework for Early Detection of Suicidal Ideation on Social Media
• Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications
• Simultaneous Dual-Parameter Measurement Based on a Modified Vernier Effect at the Equal-FSR Critical Condition
• Harmonic Analysis of Magnetic Measurement Signals for Effective Case Depth Evaluation
• Fraud Detection in Ration Distribution using Random Forest–based Online Booking System
• MPAN: A Multi-Prototype Adaptive Network for Few-Shot EEG-Based Biometric Recognition
• A Searchable Encryption with System-Wide Forward and Backward Security Supporting Boolean Query
• Stacking Deep Neural Networks to Detect Multiple Types of Cardiac Arrhythmias
• Experimental Evaluation of TSN-5G Interworking for Cyclic Industrial Traffic
• Hybrid VAE-PSO Strategy for Rapid and Reliable Inverse Design of Square-Loop FSS
• Enhancing Skin Lesion Image Quality Using Non-Local Means Denoising for Improved Diagnosis
• Analysis and Validation of Duty-Cycle-Based MPPT for Piezoelectric Energy Harvesting: Impact of Nonideal Losses on Optimal Duty Cycle
• ParqOpt: Ingestion-Layer File Converter for Analytical Platforms
• Enhancing Detection of Anomaly-based Intrusions in Smart Health using Explainable AI
• Securing Organization and Employees: AI-Powered Cyber Security System for Malware Defense System
• AI-Driven Adaptive DDoS Mitigation in Cloud Security: A System Implementation Using GNN and Reinforcement Learning
• Electric Vehicle Remaining Driving Range Prediction via Gated Recurrent Units and Kolmogorov-Arnold Network Model
• Dependent task offloading and dynamic load balancing in edge computing using deep reinforcement learning with consistent hash
• Quality Consistency in Human–Machine Collaborative Services: Equilibrium Strategies under Incomplete-Information Dynamic Games with Online Calibration
• Wireless Enabled Situationally Aware Robot Collaboration in Industrial Environments
• Machine Learning-Based Early Risk Stratification Framework for Chronic Kidney Disease Progression Using Comprehensive Multi-Domain Clinical and Biochemical Data
• Hybrid Neural Network with Implementation Efficiency for Joint Dispersion and Nonlinear Compensation in High-speed and Long-haul Transmission Systems
• PATOMIR: A 3D Latent Diffusion Prior for Uncertainty-Aware Medical Image Reconstruction
• Research on Temperature Error Compensation of Fiber Optic Gyroscope Based on Viscoelastic Dynamic Mechanism
• Two-Stage Signal Reconstruction for Amplitude-Phase-Time Block Modulation-based Communications
• Benchmarking DeepSeek R1-MoDCE: A Contrastive Pretraining Approach for Language Models
• An Augmented Reality-Based Disaster Information Visualization System for Foreign Tourists in Japan: Design and Preliminary Validation
• Polymer Electret Based WSe 2 Transistor for Reconfigurable Logic-in-Memory
• Design of a Compact Hybrid Metamaterial Slab for Enhanced Efficiency in Wireless Power Transfer Applications
• Investigation of Metal Particles Behavior in the Interruption of Vacuum Switches
• Self-Attention Gated Linear Recurrent Units for Sequential Recommendation
• Demonstration of an Automated Testbed for UWB Localization Experiments
• Adaptive Gait-Based Control for Assistive Robots Supporting Elderly on Inclined Surfaces
• Dual-Camera Screen-Space Reflections
• An Overview of the TV 3.0 Application Coding Layer Specification
• Al 2 O 3 /SiN/AlN/GaN MIS-HEMTs on Silicon for mm-Wave Amplifiers, Switches, and LNAs
• Isolation Rules: A Dependency-free Rule-caching System for Arbitrary Wildcard Patterns in TCAM
• Efficient Machine Learning Framework for Detecting e-Commerce Fraud Transactions
• Comparison of the Methods based on Image Processing and Deep Learning for People Counting
• Multi-pass Volume Reconstruction for Freehand Ultrasound: Demonstration in Simulation, Phantom, and In Vivo Kidney
• Ensemble Deep Learning Approach for Maize Leaf Disease Classification using CNNs and Vision Transformers
• Bridging Black-Box and No-Box: Embedding Reconstruction Attacks on Deep Recognition Systems
• Investigation on the impact of p-type doping layer in SoI MOSFETs for analog/digital IC applications
• A High-Isolation Self-Packaged Filter Array Using a 3D Hybrid Integrated Shielding Cavity
• FedGAW: Federated Learning With Insights of Gradient Based Update for Heterogeneous Devices
• Resilience in Motion - Adaptive Digital Twins and Real-Time Security Strategies
• Edge-Based Attitude Estimation for AUVs in Resource-Constrained IoUT Networks: A Kernelized IMSB Approach
• Hybrid Temporal Anomaly Surveillance Architecture for Early Detection and Explainable Attribution of Hospital Data Breaches
• An Adaptive MIMO Model for Climate-Perturbed, Resilient LEO Constellation Links: Insights from Bangladesh
• New Approach to Small-Signal Parameter Extraction for GaN HEMTs up to Ku-Band
• All-fiber-based interplay of bunched, noise-like and dissipative solitons in nearly zero-dispersion EDFL
• Intelligent Tool Management System Using Dual Collaborative Robots: MyCobot 280-JN and MechArm 270-PI
• Redefining Vitiligo Severity Assessment: Development and Validation of VEIDI, a Multifaceted Objective Scoring Framework
• Design And Analysis Of Low Power And Area Efficient Approximate Carry Select Adder For Various Applications
• Development of an IoT + Centralized Control System for Hydropower, Wind-Solar Hybrid Power Plant Clusters and Multi-Protocol Unified Access Technology
• A Deep Learning Framework Based on PointNet++ for RCS Prediction of Aircraft Target
• A VMD-Based Feature Extraction Framework for EEG in Schizophrenia Detection Toward CAD Implementation
• Hybrid S-Box and Caesar-Based Polyalphabetic Cipher for Enhanced Lightweight Encryption
• Early Stage Lung Cancer Diagnosis via Hybrid Learning Models on Histological Images
• Transformer-based Early Detection of Depression Severity in Conversational Mental Health Systems
• AI-Powered Missing Child Detection and Retrieval Using Deep Face Matching Algorithms
• Automated Diabetic Retinopathy Severity Grading using Self-Supervised Vision Transformers: A Comprehensive Study on Transfer Learning for Medical Image Classification
• A Method for Classifying Annotation Difficulty in Whole Slide Images
• HECA-Based Hybrid Forecasting for Precise Weather Temperature Prediction using Deep Learning
• Enhanced Skin Cancer Detection and Classification Using Generative Adversarial Networks and Deep Learning Approaches
• A Multi-Source Data Fusion Approach for E-Commerce Precision Marketing with Communication Sensor Verification: Model Design and Empirical Validation
• FruitTouch: A Perceptive Gripper for Gentle and Scalable Fruit Harvesting
• Phishing Website and Phishing Target Recognition Based on CNN and Feature Fusion
• Design of a Low-Power FBHA-OCSLA Hybrid Adder for High-Speed VLSI Systems
• A Novel Hybrid GWO-FIS: An Optimized Fuzzy Inference System Tuned by Grey Wolf Optimizer for Real-Time Intruder Risk Assessment in Video Surveillance
• Performance and Efficiency Trade-Off Analysis of Modern CNN Architectures for Automated Stem Cell Colony Quality Assessment
• AI-Powered Resume and Job Description Matcher: A Semantic Similarity Approach Using SBERT and Contrastive Fine-Tuning
• A Hybrid SRU-Transformer-Conv1d Architecture for High-Speed Signal Transient Prediction With Uncertainty Quantification
• Enhancing Ethernet Security through Cyber Physical Systems with Real Time Monitoring, MAC Spoofing Detection and Automated Intrusion Alerts
• Auto App Generator: AI-Powered Platform for Automatic Code and Application Development With Natural Language
• Resource Allocation in STAR-RIS-Assisted Multi-Cluster NOMA-SR Systems
• A Machine Learning-based National Startup Capital Readiness Scoring Platform: Design, Implementation, and Comparative Evaluation
• Design and Testing of Anti-Pumping Circuit for High-Voltage Circuit Breaker
• HMO−Hierarchical Monitoring Framework for Heterogeneous Multi-Domain TSN Orchestration in Industry 4.0
• Enhanced Stress Detection Using Heart Rate Variability: A Hybrid Deep Learning and Machine Learning Approach
• A Deep Learning Framework for Multi-Class Nail Disease Classification