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- Development of a Social Network Analysis Application to Identify Influential Subgroups of Networks and Users Involved in Spreading Negative Issues
- Personalized generative AI services through federated learning in 6G edge networks
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- Fault Diagnosis of Spring-Actuated Mechanism Based on Coil Current and Vibration Signal
- A Semi-Supervised Semantic Segmentation Method for Remote Sensing Images via Adaptive Thresholding and Feature Fusion
- Research on Quantitative Detection Technology of Tobacco Scale Based on Machine Vision
- Scalarization Machine Learning Module for Counterpoising Interpretability, Deep Learning, and Construct Validity Amidst Uncertainty
- A Comprehensive Review on the Optimization Strategies of Integrated Energy Systems with Hydrogen Energy
- Evaluating Microwave BJTs for Use as a 6 GHz Noise Source
- Machine Learning-XGBoost Analysis of Fertility Intension
- A Novel IoT-Based River and Estuary Monitoring System for Salinity Intrusion Early Warning
- Large Language Models Can be Few-Shot Server Anomaly Detector
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- Four Channels WDM Radio over Fiber for Millimeter-wave Fronthaul with Optical Amplifier and DCF Optimization
- Influence analysis of digital pre-distortion technology on specific emitter identification
- Fault Prediction Method for Industrial Internet of Things Based on Knowledge Graph
- 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
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- 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
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- 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
- Research on Optimal Control Strategy Model of Microgrid Energy Storage System
- HP-FIBA: A Spatial Attention Model and Dataset for Facial Image Blurriness Assessment
- Automated Summarization of E-Commerce Application Reviews for Generating Application Descriptions to Enhance Customer Insights
- The Effectiveness of Desktop Virtual Reality on Colour Cognition and Immersive in Higher Education among Design Students
- Research on Power Quality Disturbance Classification in Power Grids Based on FFT+CNN-BiLSTM-CrossAttention Model
- A Study on Determinants Influencing the Adoption of Buy Now, Pay Later (BNPL) as a Payment Method Using the Technology Acceptance Model 2: Indonesian Case
- Wind power prediction method based on multi-scale feature dimension reduction and multi-view iTransformer
- Research on Wind Disturbance Resistance Control in Transition Mode of Tiltrotor Unmanned Aerial Vehicles
- The Role of Natural Language Processing in Developing Intelligent Knowledge Repositories
- Central Bank Digital Currencies: A Technical Exploration of Infrastructure, Access, and CrossBorder Models
- A Method for Optimal Scheduling of Emergency Power Supply in Distribution Network Considering Line Failure Under Typhoon Disaster
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- Design of a Compact Implantable Antenna for ISM-Band Biomedical Telemetry
- The Data: The U.S. Chips Act Spread the Wealth
- A Frequency Estimation Method Based on Swarm Intelligence and Digital Frequency Mixing
- Digital Innovation Readiness: A Qualitative Analysis of Challenges and Opportunities Among Micro, Small, and Medium Enterprises
- Learning Analog System Design With the MOSbius: A Chip that will Teach you the Real-World Ropes
- Optimization Scheduling Strategy for Integrated Energy Systems with Multi-Stack Fuel Cells Based on Deep Reinforcement Learning
- LLMs for Microservice Generation: Capabilities, Challenges, and Advancements
- Indonesian Herbal Plant Identification System Based on Deep Learning
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- Building Evaluation Model for Low-Carbon Transformation of Power Systems Based on Ecological Modernization Theory
- Beyond the Naked Eye: AI-Driven Sugarcane Quality Assessment Using Deep Learning
