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- Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems
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- IoT-Based Non-Invasive Hemoglobin Prediction Using Machine Learning
- Overcoming the Identity Mapping Problem in Self-Supervised Hyperspectral Anomaly Detection
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- Amurep: Adaptively Multi-layer Region Partitioning for Next POI Recommendation
- From Monocular Vision to Spatial Audio: An Assistive Navigation System for the Visually Impaired
- SENMap: Multi-objective dataflow mapping & synthesis for hybrid scalable neuromorphic systems
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- Fair and Efficient Federated Learning Client Selection via Dynamic Contribution Evaluation
- Audio Adversarial Example Generation via Information Reduction
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- Continuous, Contactless, and Multimodal Pain Assessment during Surgical Interventions
- The magnetic scalar potential for a rectangular prism
- ECoGNet: an EEG-based Effective Connectivity Graph Neural Network for Brain Disorder Detection
- Mini Diffuser: Fast Multi-Task Diffusion Policy Training Using Two-Level Mini-Batches
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- BRAFL: Byzantine-Robust Aggregation Scheme for Federated Learning under Data Heterogeneity
- MARL-HE: An Improved Multi-agent Reinforcement Learning-based Pathfinding Method for Fire Evacuation Guidance
- Recognition of Handwritten Characters using Deep Learning Algorithms
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- Improving Generalization of Medical Image Registration Foundation Model
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- E-BiGraphSAGE: Bipartite Graph Neural Networks for Network Intrusion Detection
- Research on Dynamic Curriculum Learning in Mongolian-Chinese Neural Machine Translation
- Strategy-Augmented Planning for Large Language Models via Opponent Exploitation
- Novel AI Frameworks for ESG Performance Prediction: ESG-RAG and SSA-iLSTM
- A Bayesian Optimized TCN-LSTM Hybrid Network for Inertial Sensor Error Correction
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- Through the Eye: Virtual Reality Simulation of Retinal Diseases for Educational Purposes
- RSAM-UNETR: Transformers for Road Segmentation for self driving cars using Residual Spatial Attention Module
- AI-Driven Machine Learning for Enhancing Nanomanufacturing Equipment Output
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- DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
- Deep Reinforcement Learning-Based Task Offloading With Collaborative Inference in UAV-Assisted Mobile Edge Computing Networks
- FBM-UNet: A Lightweight Medical Image Segmentation Model Combining CNN and MLP
- Multi-Objective Battery Dispatching using an Enhanced SAC Algorithm
- YOLO-Driven Prompt Generation for SAM-Based Brain Tumor Segmentation
- Ensembles of Multi-scale Kernel Smoothers for Data Imputation
- Does Semantic Similarity Provide Enhanced Physical Layer Security?
- Learnable Multi-Transform Based Tensor Network for Low-Rank Tensor Decomposition
- Exploring Linear Attention Alternative for Single Image Super-Resolution*
- Machine Learning Assisted Design of Frequency Variants of Low-Noise Amplifiers Using Hybrid of NN with Bayesian Optimization
- Two-Stage Signal Detection in High-Resolution Time-Frequency Images: Preprocessing with Computer Graphics and Refined DETR
- A Dual-path Spatial-Temporal Separation Framework for 3D Human Pose Estimation
- PFGM-IQA: CT Image Quality Assessment using Poisson Flow Generative Models
- COLD-QA: A Complex Long-Distance Numerical Reasoning Dataset for Hybrid Tabular-Textual Question Answering
- Enhancing Breast Cancer Survival Prediction with Survival Analysis and Calibrated Machine Learning
- Adaptive Output Voltage Regulation for DC-DC Converters Under Non-Ideal Load Conditions: A Current-Constrained Fixed-Time Control Approach
- GPFEnet: a lightweight grid parallel feature extraction net for 3D segmentation in agriculture
- Understanding Cross-Chain Message Passing Delays in Polkadot: An Experimental Perspective
- Effective Intermediate Knowledge Distillation for Image Classification
- Quantifying Information in Similarity Matrices for Improved Representation Learning
- Enhancing the Explainability of Neuro-Fuzzy Systems with Large Language Models: A Case Study on EEG-Based Epileptic Seizure Classification
- Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems
- Controlling the Parameterized Multi-channel Wiener Filter using a tiny neural network
- The Hodgkin-Huxley Neuristor
- Efficient CNN-Based Classification of NLOS/LOS Conditions Using CIR Features in Ultra-Wideband Networks
- TV-MDiff: A Zero-Shot Text-To-Speech and Zero-Shot Voice Conversion System with Mamba-Based Diffusion Model
- 3DS-SLAM: Dynamic RGB-D Visual SLAM Integrating Deep Front-End and YOLOv7-Based Semantic Information
- JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning
- A Domain-Adaptive Framework for Constructing Eventic Graphs
- Data Driven Derivative-based Regularization for Regression
- Design and Analysis of Enhanced Strain Tolerance in Organic Thin Film Transistors with Hybrid Al 2 O 3 /PVP Dielectrics for Flexible Electronics
- Semi-SynRE: Enhancing Relation Extraction via Semi-Supervised Learning with Synthetic Data
- A Hybrid Mathematical Optimization Framework Based on Convex Methods and Stochastic Processes for 5G Traffic Prediction
- A Proposal for a Blockchain-Based Review Platform to Prevent Review Bombing
- Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Language
- Manipulating the Bounding Box: Multimodal Controlled Backdoor Attacks on 3D Visual Grounding Models
- Performance Characteristic And Cogging Torque Analysis Of Double Stator Permanent Magnet Motor (DSPMM)
- Could Blockchain Technology serve as a Central Bank to control money supply
- Detection of CoinJoin Transactions on the Bitcoin Blockchain: A Machine Learning Approach with Imbalanced Data
- Aries: Adaptive Cluster Routing with Flexible Link Allocation for Optical MEO/LEO Satellite Networks
- The Change of Cloud Base Height over East Asia during 2010-2019
- The Improved Algorithm of RT-DETR Based on Multi-Head Attention Mechanism
- IFENet: SAR Imaging on the Missing Echo via Image Formation and Enhance Network
- SDAP-based QoS Flow Multiplexing Support in Simu5G for 5G NR Simulation
- Local and Global: Multi-View Modeling for Duplicate Question Detection
- Vehicle-Arm Coordination-Based Active 3D Reconstruction using Deep Reinforcement Learning
- Learning Robust Representations for Carotid Plaque Classification via Transition Matrix and Structural Similarity Regularization
- Sparse Self Attention Network Model for Short Text Classification
- GATPDD: an Enhanced Deep Learning Framework for Predicting Drug-Parasitic Disease Associations
- Adaptive Semantic Anchoring for Enhanced Generalized Few-Shot Semantic Segmentation
- IPI-CVx: Explainable and Robust Detection of Intestinal Parasites Using Augmentation-Based Supervised Target Learning
- A Periodic Scheduling Method for Dual-Arm Cluster Tools Considering Wafer Priority and Residency Time Constraint
- Video Steganography with Optimized Robust Modulation Paths for Lossy Channels
- Meta-level Experience Sharing for Autonomous Systems by Fusing Generative Hierarchical Dynamic Bayesian Networks
- Kolmogorov-Arnold Network-Enhanced Cross-Modal Alignment for Textual Attribute Graph Reasoning with Large Language Models
- ExpanQN: Enhancing Android Malware Detection with Dataset Expansion and Adversarial Robustness
- Characterization and Full-Wave Modeling of Corona Discharge Induced Coupling to Touchscreen Displays
- Encrypted Traffic Classification with Graph Sketch-Based Traffic Representation
- IoT Applications in Energy-Efficient Consumer Electronics for Smart Cities
- Dynamic Multi-Scale Spatial-Temporal Feature Network for Traffic Flow Forecasting
- ZeKSA: Zero-knowledge Secured Anonymous IoT Resource Sharing on Blockchain