- Study on the Dynamic Resistance Characteristic of Circuit Breaker Closing Resistor Under Impulse Current
- FeKAN: Efficient Kolmogorov-Arnold Networks Accelerator Using FeFET-based CAM and LUT
- Mapping Inner Development Goals in Transversal Skills Engineering Courses: An Exploratory Study
- Dynamic Local Usage: An Accurate Model for Usage of Tile-Internal Wiring in Global Routing
- Efficient Task-Specific Conditional Diffusion Policies: Shortcut Model Acceleration and SO(3) Optimization
- The Unwritten Contract of Cloud-based Elastic Solid-State Drives
- Bridging the Modality Gap: Training-Free Adaptation of Vision-Language Models for Remote Sensing via Visual Prototypes
- Low-Resource Video Super-Resolution using Memory, Wavelets, and Deformable Convolutions
- GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency
- AmpereBleed: Exploiting On-chip Current Sensors for Circuit-Free Attacks on ARM-FPGA SoCs
- VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator
- Design of multi-source combined intelligent control system for hot water circulation
- Late Breaking Results: On-the-Fly Hadamard Hypervector Processing for Efficient Hyperdimensional Computing
- Multi-Layer Radial Basis Function Networks for Out-of-Distribution Detection
- Scaling Test-Time Compute can Outperform Larger Architectures in Computer Vision
- Research on Investment Decision Model of Power Grid Engineering Based on Hybrid Multi Attribute Decision Making Technology
- 3D-CIMlet: A Chiplet Co-Design Framework for Heterogeneous In-Memory Acceleration of Edge LLM Inference and Continual Learning
- Combining Vision-Language Models and Weak Supervision for Nuanced Vision Classification Tasks
- Comparative Analysis of Recursive Feature Elimination and Feature Importance for Dimension Reduction in Cancer Prediction
- CE-NPBG: Connectivity Enhanced Neural Point-Based Graphics for Novel View Synthesis in Autonomous Driving Scenes
- Optimized Feature Selection and Self-Attention- Enhanced Deep Learning Model for Gold Price Prediction
- Advances In Attack-Defense Game Models For IIoT
- Do Fusion Models Improve Volatility Forecasting? Evidence from Developed, Emerging, and Frontier Stock Markets
- ReChisel: Effective Automatic Chisel Code Generation by LLM with Reflection
- Show or Tell? A Benchmark to Evaluate Visual and Textual Prompts in Semantic Segmentation
- From Flatland to Forest: Exploring Pareto-optimal Design through RTL Hierarchy Trees
- ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads
- Privacy-Preserving Data Integrity in Cloud Computing: A Review of Hashing and Verification Techniques
- Efficient Image Generation with Variadic Attention Heads
- IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment
- HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models
- Research on Safety Risk Management of Substation Switching Operations Based on Information Fusion
- AI-Powered Framework for Enhancing E-Government Service Automation
- How Do Engineering Students View And Use Generative AI For Learning? Exploring Their Habits, Beliefs, And Attitudes
- Indonesian Educational Chatbot for Sports, Health and Physical Education using Retrieval-Augmented Generation
- Indonesian X Tweets Classification for General Eating Disorders (EDs) by Utilizing Ensemble Learning
- SC-NeRF: NeRF-Based Point Cloud Reconstruction Using a Stationary Camera for Agricultural Applications
- CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge Distillation
- A Study on Sampling Stochastic Dynamic Programming for Long-term Hydropower Operation
- Pipirima: Predicting Patterns in Sparsity to Accelerate Matrix Algebra
- Design of Intelligent Fault Diagnosis System for New Energy Vehicles Based on Deep Learning
- Utility-Aware Adaptive Streaming of Segmented Holographic Video Over Wireless Networks: A Knapsack-Theoretic Approach
- Plan Optimal Collision-Free Trajectories With Non-Convex Cost Functions Using Graphs of Convex Sets
- Influencing Factor for Mobile Shopping Continued Usage Intention: A Trust-Risk-Relationship
- Universal Shape of Strong Remote Adversarial Patches for Object Detection with Convolutional Neural Networks
- Transportation Characteristics of Fault Characteristic Gases in Transformer Oil
- Performance Comparison of YOLOv9, YOLOv10, and YOLOv11 for Detecting Highway Potholes
- FaceGest: A Comprehensive Facial Gesture Dataset for Human-Computer Interaction
- Voltage Sag Analysis Using Quantum Computing Based on Gram Matrix Method
- Application of Time-Frequency Signal Processing Techniques for UAV Fault Diagnosis
- Neutral Point Grounding Configuration Effects on Voltage Balance in a Three-Phase IPOS LCC Resonant Converter
- Reflexive Thematic Analysis of Big Data Governance Practices in Public Higher Learning Institutions
- FedDG-MoE: Test-Time Mixture-of-Experts Fusion for Federated Domain Generalization
- The Sphere Decoding with Probabilistic Constraint for Multi-Step MPC of PMSM
- Autonomous Multimodal Reasoning via Implicit Chain-of-Vision
- Comparative Performance Evaluation of SVM, KNN, and Decision Tree Algorithms in Facial Recognition Tasks Using PCA
- A Transformer-Based Stock Trend Prediction with Sentiment Analysis of Relevant and Urgent Tweets
- A Machine Learning Based Approach to Personalized Health and Wellness
- Fusing Free-Space Observation in GM-PHD Filter
- Cost-Distance Steiner Trees for Timing-Constrained Global Routing
- ForecastGAN-LSTM A Hybrid Deep Learning Framework for Intelligent Production Forecasting in Smart Manufacturing Systems
- Efficient Malware Detection with Optimized Learning on High-Dimensional Features
- Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
- Classification of Stocks with Potential to Reach Minimum Price Levels on the Indonesian Stock Exchange using Support Vector Machine (SVM) and eXtreme Gradient Boosting (XGBoost)
- IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework Under Limited Annotation Scheme
- PUFiM: A Robust and Efficient FeFET-Based Security Solution Merging Physical Unclonable Function with Compute-in-Memory for Edge AI
- Multi-channel Embedding LSTM for Sentiment Classification in Twitter Dataset
- FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
- Identification of Deterioration Areas in Green Vegetables Using Image Segmentation Algorithm Based on Green Vegetable Photos
- Harmonizing Attention Fields with Knowledge Distillation for Multi-View 3D Object Detection
- Challenges of Hamilton-Based Stability Investigation of Grid-Tied Inverters
- Pureformer: Transformer-Based Image Denoising
- Exploring Deep Architectures for Accurate Breast Cancer Prediction using Histopathological Images
- Cell-wise Self-optimization: Making Pre-trained Model Better in Remote Sensing Counting
- Reduction of the Descriptor Roesser Model to its Standard Form
- AGDPM-Net: Hybrid Ensemble Framework for Genetic Disorder Prediction
- Estimation of Baseline Hazard Function with B-Spline in Additive Hazard Model
- Enhance Then Search: an Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
- LLM-Based Chatbot for the Indonesia University IT Service Desk: Integrating DeepSeek-v3 API and a RAG Approach
- Dust to Detail: Restoring Sand-dust Images with Frequency-Guided Attention and Multi-Scale Features
- AI-Based Video Content Understanding for Automatic and Interactive Multimedia Retrieval
- An Evolutionary Game Approach to Multi-Technology Synergy in Logistics Information Sharing for Smart Supply Chains
- ASRR-PINN: Adaptive Sub-Regional Random Resampling-Based PINN for Thermal Analysis of 3D-ICs
- Optimizing windowed arithmetic for quantum attacks against RSA-2048
- A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges
- Research on Wind Resource Utilisation from the Perspective of Wind Speed and Turbine Matching
- Prediction of distributed photovoltaic power based on data interpolation with SE-CNN-BiGRU fusion model
- FlexStep: Enabling Flexible Error Detection in Multi/Many-core Real-time Systems
- CLESQ-ZOA-GCRNN: A Hybrid Deep Learning Framework for Predicting IVF/ICSI Success using Optimized Clinical Features
- ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions
- Uncertainty Quantification for Gradient-Based Explanations in Neural Networks
- Alzheimer’s Disease Detection from MRI Scans using Deep Hybrid Architecture with Metaheuristic Hyperparameter Tuning
- Evaluating the Impact of Image Augmentation on Deep Learning-Based Road Pothole Detection
- NTIRE 2025 Challenge on Raw Image Restoration and Super-Resolution
- Uncovering Branch Specialization in InceptionV1 Using K Sparse Autoencoders
- Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders
- Deep Learning Based Web Application for Prediction of Bone Age Range and Gender
- Mixed Structural Choice Operator: Enhancing Technology Mapping with Heterogeneous Representations
- Deep Learning-based Student Engagement Detection using CNN, Mobile Net, ResNet50, VGG16
- Data Augmentation with Synonym Replacement and Random Insertion for Fake News Classification
