- Enhanced Variational Quantum Networks for EarlyAlzheimer’s Detection: a Quantum-Classical Approach
- Deep Learning Technique Using Hybrid Features for Speech Emotion Detection
- Implementation of a Linear LN-TIA with PMOS Resistors in a T-network Configuration
- The Application of Digital Intelligence Technology in the Construction of Excellent Courses for Unmanned Aerial Vehicle Application
- A Review of Digital Human Gesture Generation Technology and Its Teaching Application Thinking
- AOP "All Makers": An Innovative Pedagogical Approach at the Coh@bit FabLab for Hands-on Training in Design and Prototyping
- Enhanced Asphalt Crack Classification Using Deep Learning and Feature Optimization
- Assessment of Teacher's Information Technology Application Ability: Constructing the Event Evolutionary Graph Based on Teaching Behavior
- An LLM-assisted Analog IC Design Tool with Automatic Topology Selection and Circuit Sizing
- Enhancing Epileptic Seizure Classification Using Entropy Measures on EEG Signals
- Enhanced Malignant Lymphoma Classification Using an Explainable Dilated MobileNetV2 and Convolutional-Recurrent Neural Network
- Modeling Method for Dynamic Hysteresis and Loss Characteristics of Soft Magnetic Materials Under DC Bias
- Research on Auxiliary Decision Making Algorithm for New Energy Participation in Multi Level and Multi Variety Electricity Market Based on 1DCNN-SLSTM
- AI Driven Detecting plants and Animal Diseases
- Analytical Modeling of Negative Capacitance Field-Effect Transistor for Highly Sensitive Biosensor Applications
- Research on Global Vision-Based Navigation for Unmanned Vehicles in Complex Environments
- Sea Clutter Suppression Method Based on a Self-Attention Spatio-Temporal Prediction Network
- Revolutionizing Orthopaedic Diagnostics: an Innovative Deep Learning Framework for Wrist Fracture Detection
- Predicting Alzheimer's Disease and Mild Cognitive Impairment Using MRI-Based Modeling
- Clustering for Bug Triage Based on Developer Work Capabilities
- Spurious Social Network Profiles Identification Through Hybrid ML Techniques: Analysis and Observation
- ReDaUNet: ResNet with Dual Attention-Based U-Net for Random Noise Removal in CT Images
- WDP: A Weighted Delay Prediction Method for Integrated Circuit Interconnects
- Hybrid CNN-based Framework for Enhanced Glaucoma Detection in Fundus Images
- Named Entity Recognition on Indonesian Online News Based on Bidirectional LSTM-CRF
- Optimizing Social Media Sentiment Analysis: RoBERTa Framework for Evaluating Public Perception of DeepSeek
- Optimizing PCOD Diagnosis Using Ultrasound Images: Benchmarking VGG and Holonet Models
- A Two Stage Generative Model for Controllable Human Head Motion Video Generation
- Research on Partial Discharge Pattern Recognition of Small Samples Based on STFT and CNN-SVM
- General Sparse Adversarial Attack Method for SAR Images based on Key Points
- Reduction of Mutual Coupling Low Profile Quad Port MIMO Antenna Loaded with Parasitic Elements for 5G Applications
- A 14.1 GHz-to-30.5 GHz Dual-mode VCO with Transformer-Switching and Current-Reuse Dynamic Body-Biasing Technique in 55-nm CMOS
- On the Usage of Genetic Algorithms, Reinforcement Learning and Bayesian Optimisation for RF IC Design Automation
- Hybrid Design for Privacy Preserved Image Representation in a Cloud Environment
- Improved BGLL Algorithm for Distribution Network Zoning Considering Reactive Power Margins
- Simulation Study on the Operation of Transformer Differential Protection with Braking Characteristics
- A Single Chamber Minibot With Elastic Hinges for Adapting Various Diameter Pipelines
- Efficacy of Desensitization Techniques on Technostress and Quality of Life Among Undergraduate Students
- Digital Technology-Enabled Social and Emotional Learning: Developmental Trajectories, Research Hotspots, and Emerging Challenges
- Trust Based Access Control For Dynamically Reconfigurable Sensor Network
- Confucius: A Knowledge Graph-Enhanced LLM Agent for Intelligent Teaching Video Supervision
- The STM32-based High Speed Data Acquisition System of Electrical Impedance Tomography
- Multi-Inverter Principal Benefit Allocation Method Based on Improved Shapley
- Olfactory Prediction Using CNN-CBAM Model
- Next-Generation Real-Time Language Translation System Empowered by IoT and RNN Technologies
- Predictive Security in eGovernment Systems Using Machine Learning Algorithms
- Distributionally Robust Optimization Model for Energy Bases Based on Wasserstein Distance
- Next-Generation Parkinson’s Disease Management: the Perform of Machine Learning in Early Diagnosis and Tailored Treatments
- Building a Triple-Win Mode: University-Enterprise Collaboration for the Chinese AI Ecosystem
- Probability-Based SCMA Random Access Scheme for Satellite Machine-Type Communication
- Intelligent Route Planning for Electric Vehicles: Evaluating Multi-Objective Optimization Strategies
- A shortest path selection mechanism based on static network path switching
- A Research of Compute First Networking Based on Information-Centric Networking Cache Mechanism
- Application of an Intelligent Humidity Control System with Condensate Recovery
- Double Lower Limb Kinematics-based Invariant Extended Kalman Filtering for Pedestrian Inertial State Estimation
- Integrating Machine Learning Based Sales Forecasting With Odoo Erp for Automated Inventory Management in a Retail Company
- IoT-Driven Convolutional Neural Networks for Effective Vehicle Night Vision and Image Recognition
- Privacy-Preserving and Scalable Secure Aggregation for Federated Learning in Edge Computing
- MCT Circuit Decomposition for Two-Dimensional Topological Structures
- Enhancing Vat Photopolymerization 3D Printing Through Image Correlation-Based Adaptive Slicing
- Impact of Teacher-Student Interaction in Smart Classroom Teaching
- Design and Development of a Sub-6 Ghz Tri-Band Microstrip Patch Antenna for 5G Communication
- Dynamic Signal for Traffic Congestion Using CNN
- Development and Evaluation of an Automated Computational Approach for the Precise Placement of Pedicle Screws in Spinal Surgery Leveraging Three-Dimensional Point Cloud Registration Methods
- Combining Machine Learning and Optimization Techniques for the High-Level Design of Σ∆Ms
- Research on UAV Navigation Based on the Kalman Filter and Geomagnetic Matching Algorithm
- Enhanced Pothole Detection and Prediction Using Deep Learning with Resnet and YOLOv8
- AI-Integrated Wearable IoT Devices for Analyzing Diabetic Walking Patterns Using Neural Networks
- Acoustic Event Detection for Crime Monitoring using BI- GRU and Other Deep Learning Methods
- 28-nm FD-SOI CMOS Power Amplifier with Stacked-FET Structure to Enhance Output Power for 5G FR2 Applications
- Leveraging TGNN-Seq2Seq Hybrid Model for Predictive Dynamic Process Prioritization: A Novel Approach to OS-Level Adaptive Resource Management
- Research on the Application of AI Agent in Postgraduate Education
- A 50MS/s 16-bit three-stage high-precision Digital- to-Analog Converter
- Predicting Impact on Re-Admission Rates for Patients Hospitalized with Diabetes
- A Multi-Protocol IoT-Enabled Touch Control Switch for Energy-Efficient Smart Home Automation
- Hybrid AI-Optimization Method for Latent Defect Detection Through Test Transistor Insertion in Analog Circuits
- Probabilistic approach to feedback control enhances multi-legged locomotion on rugged landscapes
- Smart Teaching Support System Drives an Innovation of Teaching Paradigms in Higher Education
- Bayesian Hierarchical Assessment of Proficiency Test Item Stability in Radiated Disturbance Proficiency Testing
- Fusion of adaptive cruise control algorithm and artificial intelligence model for new energy vehicles
- A Closed-form Estimator for Underwater Target Horizontal Position and Sound Speed Using Depth and TOA Measurements
- A Low-cost DAC Chip Function and Performance Testing Scheme
- A High Ratio Distributed New Energy Consumption Method Based on Cooperative Scheduling of Integrated Energy Systems
- A Literature-Based Analysis of Chatbot Applications in Education: Insights into Primary and Secondary School
- Automating SSRL Detection in Asynchronous OCL via LLMs
- Blockchain Empowering the Efficient Management of Dynamic Educational Data
- Research on Power Flow Transmission Constraints Based on Line Outflow
- MISO SEPIC for Enhanced Efficiency in Renewable Energy Systems Using AIML Algorithms
- Optimizing Metabolic Health Tracking with SVM Classification and Real-Time IoT Data
- A Graph Neural Network Framework for Breast Cancer Risk Prediction
- Exploration on Bubble Entropy
- Review of Inertia Support Research for Grid-Forming VSC-HVDC
- Automated Parking Management System Using Computer Vision and Parking Optimization
- Design of Planar Capacitance Detection Circuit Based on Communication Incentives
- RegPalm: Towards Large-Scale Open-Set Palmprint Recognition by Reducing Pattern Variance
- Community Detection in Social Networks: the Impact of Clustering on Graph-Based Deep Learning - a Study
- Ternary PUF-based Secure Mutual Authentication Using RNNs for Sequence Learning in Response Classification
- Intelligent Feedback Analytics- Sentiment Analysis and Defect Detection in Elevating Product Quality and Customer Experience
- Early Identification of Schizophrenia Risk Using IoT-Collected Speech Data and Advanced NLP Algorithms
- Data-Driven Insights into Cardiovascular Disease Mortality: A Global Analysis of Trends and Risks