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- Enhancement of Accuracy and Performance of LSTM Based IDS System
- Enhanced P&O Algorithm for Optimized Grid-Connected Solar Inverters
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- Calibrated Unsupervised Anomaly Detection in Multivariate Time-Series Using Reinforcement Learning
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- IEEE CSS Board of Governors Meeting December 15, 2024 [CSS Business]
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- A Low-Complexity MIMO-OFDM Transmission Scheme for Optical Wireless Communications
- Matter: Multi-Stage Adaptive Thermal Trojan for Efficiency & Resilience Degradation
- A Red/Blue Video Game for Hide&Seek Analysis for Hardware Trojans and the Seeker's Dilemma
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- Evaluation of Remote Driver Performance in Urban Environment Operational Design Domains
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- Innovative Design and Application of the Digital Sustainability Cloud
- Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Materials in Circular Healthcare
- Attention-Guided CNN-LSTM Hybrid Model for Detecting Lung and Colon Cancer
- A 96.5% Efficiency Hybrid Step-Up Converter With Low Input-Level Voltage Stress and Duty-Independent Constant Inductor Current
- Laplace Distribution Based Robust Identification of Errors-in-Variables Systems With Outliers
- A 20-Gb/s 1.4-pJ/bit Wireline Transceiver for Chip-to-Chip Interfaces in 40-nm CMOS
- AI-Powered Loan Recommendations for Self-Help Groups: Enhancing Financial Inclusion Through Machine Learning
- Event-triggered prescribed-time tracking control for UAVs using polynomial error trajectories
- Robin: An Efficient Hierarchical Federated Learning Framework Via a Learning-Based Synchronization Scheme
- IMU-Based Motion Trajectory Reconstruction and Recognition with Dynamic Calibration on Embedded System Platform
- A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior
- CARRAS: Combined AOA and RBFNN for Resource Allocation in Single Site 5G Network
- Smart Charging Solution from Hybrid Energy System Using CUK Converter
- A Solution to the Response of a Single Degree of Freedom System to Swept Sine Inputs
- Image-Based Visual Servoing of Micro Aerial Vehicles With Robust Observation and Output Feedback
- ML-Based Real-Time URL Inspection with Hardware Acceleration for Enhanced Web Security
- The Deep Learning Techniques for Analyzing Sentiments from Customer Reviews in Corporate Branding
- A Proposal of Blank Phrase Selection Algorithm for Phrase Fill-in-Blank Problems in Web-Client Programming Learning Assistant System
- Guest Editorial: AI for Communications and Communications for AI: Part 1
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- A Blockchain-Enabled Framework for Decentralised Peer-to-Peer (P2P) Energy Trading
- Mapping Network Paths: Enhancing Traceroute Testing for Network Analysis
- Blockchain enabled Federated Learning Framework for Privacy-Preserved Electronic Health Record
- Energy-Adaptive Checkpoint-Free Intermittent Inference for Low Power Energy Harvesting Systems
- Robust Face Recognition Using Deep Learning and Ensemble Classification
- Computation Offloading and Resource Allocation in Vehicular MEC – a Parameterized Deep Reinforcement Learning Approach
- Robust and Efficient NAND-Like TST-MRAM with Parallel Write/Read Operations and Reconfigurable PUF Mode
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- A Comprehensive Analysis of Machine Learning Algorithms for Diabetes Prediction: Comparative Performance and Insights
- The “Novelty Imperative” and Its Discontents
- Efficient Digital Architecture of Spiking Encoders for Neuromorphic Accelerators
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- An Environmentally Friendly Fishing Android-Based Mobile Device App for Penghu Islands (Pescadores), Taiwan
- Optimizing Neural Recording Front-Ends Towards Enhanced Spike Sorting Accuracy in High-Channel-Count Systems
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- Research on Parasitic Capacitance Reduction in All-Silicon High-Precision MEMS Accelerometers
- Model Residuals as Shields: A Two-Level Formulation to Defend Smart Grids From Poisoning Attacks
- Lessons from the Field: Practical Frameworks for CTF Competition Success
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- FDNet: A Frequency-aware Decomposition Network for Robust Face Super-Resolution Against Adversarial Attacks
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- Hybrid Approaches in Chronic Kidney Disease Prediction: From Dimensionality Reduction to Model Explainability
- ReviChain: A Blockchain-Based Application to Enhance Online Review Credibility
- Performance Degradation Analysis of Downlink NOMA Systems Under Carrier Frequency Offsets
- RenderMiner: Mining Micro-Architecture Characteristics of Rendering Programs on GPGPU
- Automated Detection of Tiny 3D Signals in Tn5-Fluorescence in Situ Hybridization Using a Scale-Free Deep Learning Model
- Single Switch Multi Utility Integrated Converter for EV Charging Applications
- Angular momentum compensation in Eu 0.5 Bi 2.5 Fe 5-x Ga x O 12 thin films prepared by metal-organic decomposition method
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- Driving Risk Assessment for Intelligent Vehicles Based on Entropy-Informed Graph Neural Networks and Gaussian Distributions
- The Effect of WebRTC Jitter Buffer on Cloud Streaming Game QoE
- Modified Bron-Kerbosch based Sensor Deployment Algorithm for Target Coverage in Wireless Sensor Networks
- A Convolutional Neural Network Model for Classifying Resting Tremor Amplitude in Parkinson’s Disease
- An Adaptive Neuro-Fuzzy Controller to Enhance Power Sharing in Distributed Energy Resources Applications
- The Art of Perception: Cross-Modality Learning for Accurate Tumour Segmentation in Breast Imaging
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- Digital Twin System for Wireless Mesh Camera Node Placement Optimization of Japanese Small and Medium Sized Rivers Monitoring
- A Performance Study on Low Earth Orbit Satellite Networks with Inter Satellite Links
- Automatic Lighthouse Calibration Using Conics for Indoor Robot Localization
- Research on Self-Evolving Deepfake Detection Technology Based on LLM
- Connections Between Least-Squares Migration, Capon Beamforming, and Phase Correction for Seismic Resolution Enhancement
- Quantum Attacks on Blockchain and Mitigation Strategies