- A Deep Neural Network Framework for Object Tracking in Smart Factories Using mmWave Radar
- Contextual Spelling Corrector for Indonesian Text Preprocessing: A Comparative Analysis of Large Language Models
- Quasi-orthogonal space-time coding for backscatter communications with multiple-antenna tags
- Design of an Integrated Intelligent System for Underwater Marine Engineering Operations
- Modified U-Slot Dual-Band Microstrip Patch Antenna for Ku-Band Applications
- An Extensive Experiment on Emotion Classification in Social Media Utilizing Multiple Text Representation Techniques and Deep Recurrent Neural Networks
- Switching Frequency Characteristics and Optimization of Medium-Frequency MMC for Offshore Wind Farm Integration
- Quantum Computing is a Paradigm Shift—Time to Get Involved! [From the Editor]
- Embedding Sustainability into Computing Curricula
- In-service virtualized central unit live migration with real-time network cooperative control
- Modeling and Analysis of LLC Resonant Converters under Strong Magnetic Fields: A Multi-Physics Approach with Machine Learning
- Assessment of Electricity Service Capacity in Rural Areas of China under Low-carbon Transformation
- Estimating FPGA-Based Terahertz Transmitter Chain Performance For Live Data Flow
- Correction for Dispersion in Waveguide Media for Improved Resolution of Time-Domain Analysis of Localized Impairments
- Low-complexity digital backpropagation for high-symbol-rate coherent optical fiber communication systems
- Optimization of Sliding Mode Control Parameters to Improve Passenger Comfort, Road Handling and Reduce Chattering in Active Electrohydraulic Suspension Systems
- A Koopman Theory-Based Time Series Prediction Model for Renewable Energy Power
- Reconfiguration of Distribution and Optimal Placement of Decentralized Production Poles in the RIN (Northern Interconnected Networks) Cameroon: Case of Adaptive Genetic Algorithm
- Breaking the Depression Circuit: Next-Gen Brain Implants Offer New Hope
- Locational Marginal Price Prediction in Electricity Markets Based on CNN-LSTM-Attention
- Enhancing Regional Weather Prediction with GNN: A Multi-scale Attention Approach
- Parameter Estimation based Automatic Modulation Recognition for Radio Frequency Signal
- Dynamic Incentive Strategies for Smart EV Charging Stations: A LLM-Driven User Digital Twin Approach
- In Celebration: Professor Simon Haykin [In Memoriam]
- Augmenting RC-GRU with ARIMA-Generated Trends: A Data-Efficient Framework for PEMFC Degradation Prediction
- Exploring Language, Society, and Culture with AI Video Creation: A Hands-On Case Study
- The Effect of Gamification on Shopee in Increasing Customer Loyalty and Purchase Intentions
- PIMA: Power Imbalance Management Agent as a Distributed Demand Procurement Management System
- Adaptive Analog Front-end Design Based on Spectrum Sensing Technique in High-speed Acquisition System
- CatBoost and Bayesian Optimization Algorithm-Based Classification of Fraudulently Insured Persons and Random Forest-Based Fraud Prediction Combining Multiple Attention Mechanisms
- Implementation of Smart Contracts with Blockchain Technology in Building a Web 3.0-Based Decentralized Finance Crowdfunding System on the Ethereum Network
- Dual-Branch Feature Extraction via Discrepancy-Aware Fusion with Evidential Deep Learning for Sarcasm Detection
- Sixth Australian Microwave Symposium [Conference Report]
- Neural Network based Dynamic Impedance Matching for Transmitter Efficiency Enhancement in Implantable Devices
- UBA-DA: A Method for Automatic Data Annotation Based on User Behavior Analysis
- Evaluating User Satisfaction of Automated Border Control in Smart Airports: Case Studies from Indonesia
- Exploring Perspectives on the Use and Teaching of Artificial Intelligence Tools
- Blind Carrier Frequency Offset Estimator for Cross QAM Based on CPS Hierarchical Search
- Design of a Kiwifruit Maturity Detection and Recognition System Based on Deep Learning
- Exploring NLP for Mental Health Insights: Multi-Class Classification of Online Forum Texts
- Short-Term Power Load Forecasting Based on Multi-Granularity Fusion Model
- An Integrated Optimization Method of Scheduled Maintenance and Reconfiguration in Distribution Network
- Dual-Student Knowledge Distillation-Based Anomaly Detection Algorithm
- Optimization of Task Offloading in Mobile Edge Computing Based on an Improved Whale Optimization Algorithm
- Towards realizing dynamic statistical publishing and privacy protection of location-based data: An adaptive sampling and grid clustering approach
- A Hybrid Model of GCN+GRU for False Data Injection Attack Detection in Smart Grid
- Investigating the Impact of Movie Poster Clustering on Box Office Prediction
- Performance Evaluation for Cost-Effective Retrieval Process for Multi-Document Retrieval-Augmented Generation on a Domain-Specific Dataset
- Comparative Analysis of ECoG Signal Prediction Models in BCI Systems: Evaluating the Performance of BP-ANN and SVM
- Seamless Insertion and Playback System for Targeted Advertisement Exploiting Digital Cueing Signal over Commercial IPTV Service
- Predicting Bitcoin Prices by Applying LSTM, ARIMA, SARIMA, GBRP, and GARCH Models
- Remaining Useful Life Prediction of Lithium-ion Batteries Based on Interpretable Machine Learning Methods
- IEEE Boston MTT/AP-S Joint Chapter: Keeping the Boston Hub Dynamic [Featured MTT-S Chapters]
- Research on Data Error Detection Based on Graph-Based Model
- Intelligent Cognitive Mirroring Model to Enhance Learning Experience in Autistic Spectrum Disorder Children in Malaysia
- AI-Powered Physics-Informed Correlation Technologies for Advanced Thermal-Imaging in Near and Far Fields
- Distributed Day-ahead and Intraday Rolling Trading among Multi-electro-Hydrogen Coupling Micro Energy Network Systems
- Ultra-Low Power and Low-Leakage Subthreshold CMOS Neural Circuit Design
- A Comparative Analysis of Fingerprint Classification: Traditional Machine Learning with KMCG vs. Deep Learning Approaches
- Research on the Construction of Customer Feature Analysis Model of Cross-Border E-Commerce Based on Machine Learning Technology
- PadYi: Ensembled CNN-Transformer Attention based Framework for Optimizing Paddy Cultivation Management and Yield Estimation
- Worse Than Fool’s Gold? [Microwave Surfing]
- Bowtie Antenna with Modification to Reduce Radiation Arm Area and Use of Parabolic Reflector to Increase Power Dissipation in Antenna Coupled Microbolometer
- Voltage Control for Distribution Networks: A Deep Reinforcement Learning Approach Improved with Option-Critic and Gated Recurrent Unit
- Research Software Engineering: Discovering and Bridging Knowledge Gaps
- Deep Learning Approach Based on Feature Extraction for Short-Term Electricity Price Prediction
- A Hybrid Autoencoder-Transformer Model for Robust Day-Ahead Electricity Price Forecasting under Extreme Conditions
- Research on Fault Monitoring and Intelligent Diagnosis of Key Equipment in Nuclear Power Plant Driven by Knowledge and Data
- The Research and Practice on Self-healing Application of Low-voltage Distribution Network Based on Cloud-Edge-End Collaboration
- Source-Load-Topo Joint Scenario Generation Based on Graph Variational Auto-Encoder
- Optimal Dispatch of Emergency Generators via Truck Transportation in Post-Disaster Distribution Networks
- Alleviating Notch Filtering Impacts on Radar Range Detection with the Gerchberg-Saxton Algorithm
- Artificial Intelligence as a Tool to Improve the Quality of Job-Ready Graduate Skills in Higher Education
- A Hierarchical Swin Transformer Network for Organism Segmentation in Aquaculture Environment
- EFST-Net: A Spatiotemporal Network Integrating Weather and Point-of-Interest Information for Traffic Speed Prediction
- Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models
- Design of a SiGe BiCMOS Broadband Amplifier for an Electron Paramagnetic Resonance Spectrometer
- Hybrid Game Theoretic Approach for Flexibility Service Provision in Community Energy Systems with Battery Energy Storage System
- Research on Decision-Making for Power Energy Efficiency New Product Development Schemes Based on Multi-Objective Fuzzy Digital Intelligent Model
- Improving Fast 6D Pose Estimation with Adaptive Model Fusion
- Evaluating YOLO Variants for Real-Time Multi-Object Detection of Strawberry Quality and Ripeness
- A Machine Learning Framework for Predicting Vehicle Specifications and Environmental Impact
- Ode to Masterfully Written Textbooks: And remembering Simon Haykin [From the Editor]
- Bridging the Physical and Virtual: Digital Twin Solutions with Arduino and FlexSim
- 3D Anime Faces Generation from Single Images by HoloGAN
- Assessment of Emerging Adjustable Resource Regulation Potential for Air Conditioning Loads
- Improving Abstractive News Summarization Using Keyword Extraction for Human-Like Summaries
- Factors influencing behavioral intention to use MOOCs for the Green Entrepreneurship Study: the testing and measurement of an instrument to measure the conceptual framework
- Quantum Software and Its Engineering [Focus: Guest Editors’ Introduction]
- Review and Outlook on Deep Learning for High-Resolution Power Time Series Reconstruction
- EIC’s Message
- FedMI: Heterogeneous Federated Learning Based on Multi-Model Inference
- Implicit Sentiment Analysis Methods and Applications Based on Machine Learning
- A MEMS-Switched Decade-Bandwidth Tunable Notch Filter for Low-Loss, High-Linearity, Wideband Receiving Applications
- Edge-Sparsing and Two-Level Tapering to Reduce Sidelobe Level in Small Square Antenna Arrays
- Object Detection Model for Student and Lecturer Classification Using YOLOv8 and Optuna
- Towards Human-Like Dialogue: A Low-Latency, Transition-Aware Talking Avatar Generation Framework
- An Analysis of the Accuracy of the Added Length De-Embedding Methods for Coaxial to Waveguide Adapters in the X-Band
- Linguistically-Informed Sparse Attention with Adaptive Knowledge Graph Integration for Multi-Task Text Classification and Sentiment Analysis
- Characterization and Modeling of Varactor Diodes for Parametric Circuits
