yusuke1997/dblp-id-title huggingface dataset:
Generic Quantum Blockchain-Envisioned Security Framework for IoT Environment: Architecture, Security Benefits and Future Research
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems
Radio Frequency Sensing-Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models
Generative AI and the Metaverse: A Scoping Review of Ethical and Legal Challenges
A Detailed Comparative Analysis of Automatic Neural Metrics for Machine Translation: BLEURT & BERTScore
Utility-Oriented Computation Scheduling for Energy-Efficient Mobile Edge Computing Networks
Squeeze-Excitation Transformer With Residual Bi-GRU Model for Distributed UWB Based Continuous Gesture Recognition and its Application to Human-UAV Interactions
ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures
Optimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing
FAV2G: Fog-Based Authentication Scheme for Vehicle-to-Grid Network With Verilog Implementation
A Simulation Study of the Measurement of Queueing Delay Over End-to-End Paths
Statistical Validity of Neural-Net Benchmarks
FEELAP: Fuzzy Extractor-Based Efficient Lightweight Authentication Protocol for Edge-IoT Ecosystem in e-Healthcare
Security Orchestration in 5G and Beyond Smart Network Technologies
Efficient Video Privacy Protection Against Malicious Face Recognition Models
A Dual-Encoder Approach to Bankruptcy Prediction With Financial Ratios and Corporate Disclosures
Revolutionizing User Authentication Exploiting Explainable AI and CTGAN-Based Keystroke Dynamics
Hybrid Contrastive Learning With Attention-Based Neural Networks for Robust Fraud Detection in Digital Payment Systems
TF2ML: Threat Filtering With Two-Stage Machine Learning for Efficient Provenance-Aware Threat Detection and Response
Multi-Rules Mining Algorithm for Combinatorially Exploded Decision Trees With Modified Aitchison-Aitken Function-Based Bayesian Optimization
A Lightweight Visual Font Style Recognition With Quantized Convolutional Autoencoder
MEViT: Generalization of Deepfake Detection With Meta-Learning EfficientNet Vision Transformer
Towards Secure and Intelligent Network Slicing for 5G Networks
Hybrid POF-VLC Systems: Recent Advances, Challenges, Opportunities, and Future Directions
Concentrated Differentially Private Federated Learning With Performance Analysis
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
An Innovative Dense ResU-Net Architecture With T-Max-Avg Pooling for Advanced Crack Detection in Concrete Structures
Non-Lambertian Surfaces and Their Challenges for Visual SLAM
Privacy Preserving Machine Learning With Federated Personalized Learning in Artificially Generated Environment
MusicTalk: A Microservice Approach for Musical Instrument Recognition
Improving GNNs for Image Classification: Addressing Homophily Challenges
Re-Identification in Differentially Private Incomplete Datasets
A Survey on 2D and 3D Contactless Fingerprint Biometrics: A Taxonomy, Review, and Future Directions
Optimized Breast Cancer Classification via SHAP-Based Feature Selection and Weighted Voting Ensemble Learning
Optimized Multi-Modal Conformer-Based Framework for Continuous Sign Language Recognition
An Auditable, Privacy-Preserving, Transparent Unspent Transaction Output Model for Blockchain-Based Central Bank Digital Currency
Towards Area Efficient Logic Circuit: Exploring Potential of Reconfigurable Gate by Generic Exact Synthesis
A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines
Performance Analysis of Gossip Algorithms for Large Scale Wireless Sensor Networks
FVM: A Formal Verification Methodology for VHDL Designs
Concatenated Graph Coding on Bandwidth Part for Secure Pilot Authentication in Grant-Free URLLC
Capacity, Coverage and Power Profile Performance Evaluation of a Novel Rural Broadband Services Exploiting TVWS From High Altitude Platform
Application of Vision Transformers to Contamination Detection in Densely Cluttered Waste Scenes
Survey and Evaluation of Converging Architecture in LLMs Based on Footsteps of Operations
A Trust Based Scheme to Protect 5G UAV Communication Networks
Improving Software Defect Detection With LSTM-Based Semantic Modeling and Class Imbalance Handling
Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework
Data Extraction and Question Answering on Chart Images Towards Accessibility and Data Interpretation
UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors
Optimizing Energy Efficiency in UPA-Assisted SWIPT Massive MIMO Systems Over Rician Fading Channels
The Chance Set-Up on Pattern Discovery
Speaker Identification for Business-Card-Type Sensors
A Robust Image Encryption Protocol for Secure Data Sharing in Brain Computer Interface Applications
Link Scheduling and End-to-End Throughput Optimization in Wireless Multi-Hop Networks
Blockchain Platform For COVID-19 Vaccine Supply Management
IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM
Enhancing Fault Tolerance in High-Performance Computing: A Real Hardware Case Study on a RISC-V Vector Processing Unit
Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction
Securing Industrial IoT Environments: A Fuzzy Graph Attention Network for Robust Intrusion Detection
Efficient Authentication Protocol for Continuous Monitoring in Medical Sensor Networks
ECC-PDGPP: ECC-Based Parallel Dependency RFID-Grouping-Proof Protocol Using Zero-Knowledge Property in the Internet of Things Environment
Benchmarking Variants of the Adam Optimizer for Quantum Machine Learning Applications
Editorial: Gratitude, Reflection, and Celebration: My Tenure as EiC Comes to a Close
A Secure Communication System in Self-Organizing Networks via Lightweight Group Key Generation
Crypto Pharmacy - Digital Medicine: A Mobile Application Integrated With Hybrid Blockchain to Tackle the Issues in Pharma Supply Chain
A Taxonomy for Python Vulnerabilities
Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems
Enhancing Pneumonia Diagnosis Through AI Interpretability: Comparative Analysis of Pixel-Level Interpretability and Grad-CAM on X-ray Imaging With VGG19
Video-Based Deception Detection via Capsule Network With Channel-Wise Attention and Supervised Contrastive Learning
An Identity-Based Adaptor Signature Scheme and its Applications in the Blockchain System
A Self-Attention Guided Approach for Advanced Underwater Image Super-Resolution With Depth Awareness
Analysis and Insights for Myths Circulating on Twitter During the COVID-19 Pandemic
Energy Use and Demand Prediction Using Time-Series Deep Learning Forecasting Techniques: Application for a University Campus
Grasshopper Optimization Algorithm and Neural Network Classifier for Detection and Classification of Barley Leaf Diseases
Examining the Impact of Distance-Based Similarity Metrics on the Performance of Projected Clustering Algorithm for Fingerprint Database Clustering
State Space Explosion Mitigation for Large-Scale Attack and Compliance Graphs Using Synchronous Exploit Firing
TuSegNet: A Transformer-Based and Attention-Enhanced Architecture for Brain Tumor Segmentation
Ensemble Deep Learning Assisted VNF Deployment Strategy for Next-Generation IoT Services
Residual Reinforcement Learning Enhanced With Unsuccessful Episode Buffer
A Transformer-Based Intelligent System for Hierarchical Occupational Classification in the Labor Market
PERIDOT: Modeling Execution Time of Spark Applications
CEFEEL: Communication-Efficient FEderated Learning for Personal Assistant Applications
IFDNet: A Contextually Modulated Deep Network for Robust Image Forgery Detection
Trace-Based Dynamic Gas Estimation of Loops in Smart Contracts
Blockchain-Based Decentralized Application: A Survey
Leakage-Resilient Certificate-based Key Encapsulation Scheme Resistant to Continual Leakage
Prediction of Customer Behavior Changing via a Hybrid Approach
CD-LLMCARS: Cross Domain Fine-Tuned Large Language Model for Context-Aware Recommender Systems
DCT-Based Channel Attention for Multivariate Time Series Classification
Innovative Evaluation Framework for Consumer Electronics-Enabled Intelligent Transportation Systems: Leveraging $q$-Rung Picture Fuzzy Hypersoft Schweizer-Sklar Aggregation Operators
Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model
A Comprehensive AI-Based Digital Twin Model for Residential Hydrogen-Based Energy Systems
Covert Timing Channels Detection Based on Auxiliary Classifier Generative Adversarial Network
Classification of Anomalies in Microservices Using an XGBoost-Based Approach With Data Balancing and Hyperparameter Tuning
Simulators for Processors Used in Virtualization: A Survey
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures
A Novel NFT Solution for Assets Digitization and Authentication in Cyber-Physical Systems: Blueprint and Evaluation
Quantitative Cybersecurity Analysis Framework for Cyber Physical Systems: A Conceptual Approach
A Robust Cross-Channel Image Watermarking Technique for Tamper Detection and its Precise Localization
Emerging Computing Tools for Emergency Management: Applications, Limitations and Future Prospects
Self-Optimizing Optical Network With Cloud-Edge Collaboration: Architecture and Application
Fusing Blockchain and AI With Metaverse: A Survey
Covert Communication via the QR Code Image by a Data Hiding Technique Based on Module Shape Adjustments
SwinSegFormer: Advancing Aerial Image Semantic Segmentation for Flood Detection
A Survey on Privacy-Preserving Blockchain Systems (PPBS) and a Novel PPBS-Based Framework for Smart Agriculture
TACS-Net: Temporal-Aware Customer Segmentation Network
QuadScatter: Computational Efficiency in Simultaneous Transmissions for Large-Scale IoT Backscatter Networks
DiReDi: Distillation and Reverse Distillation for AIoT Applications
Fuzzy Logic-Based Adaptive Point Cloud Video Streaming
Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble
Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges
LD-Net: An Efficient Lightweight Denoising Model Based on Convolutional Neural Network
What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction
Cardinality Estimation in Inner Product Space
From Technology to Society: An Overview of Blockchain-Based DAO
Optimized Extreme Learning Machine for Breast Tumor Classification Using Mammograms
Image Impulse Noise Removal Using Cascaded Filtering Based on Overlapped Adaptive Gaussian Smoothing and Convolutional Refinement Networks
Removing Neurons From Deep Neural Networks Trained With Tabular Data
Adaptive Three-Stage Hybrid RIS for Energy-Efficient and High-Performance Wireless Networks
Fast and Private 1-to-$N$ Face Identification Protocols
UniBizNet: A Unified Business Intelligence Network for Strategic Multimodal Data Integration and Predictive Analysis
Training and Serving System of Foundation Models: A Comprehensive Survey
An Intelligent Path Loss Prediction Approach Based on Integrated Sensing and Communications for Future Vehicular Networks
Epsilon-Guided Spatiotemporal Transformer: An Exponential Error Reduction for Multi-Memory Multilingual Sign Interpreter
DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation
FiLM-SimVP: Scalable Uncertainty Quantification in Spatiotemporal Forecasting
Energy Efficiency of Kernel and User Space Level VPN Solutions in AIoT Networks
Few-Shot Segmentation Using Multi-Similarity and Attention Guidance
A Light-Weight Technique to Detect GPS Spoofing Using Attenuated Signal Envelopes
DiffCoR: Exposing AI-Generated Image by Using Stable Diffusion Model Based on Consistent Representation Learning
Fuzzy Logic Based Client Selection for Federated Learning in Vehicular Networks
An Attention-Based Neural Network Using Human Semantic Knowledge and Its Application to Clickbait Detection
MetaCIDS: Privacy-Preserving Collaborative Intrusion Detection for Metaverse based on Blockchain and Online Federated Learning
Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework
Conv-Ensemble for Solar Power Prediction With First Nations Seasonal Information
LaplaceSalesNet: A Neural Laplace-Transformer Framework for Continuous-Time Sales Forecasting
Boosting Depth Estimation for Self-Driving in a Self-Supervised Framework via Improved Pose Network
Comparative Analysis of Traditional and Modern NLP Techniques on the CoLA Dataset: From POS Tagging to Large Language Models
A Hybrid Temporal Convolutional Network and Transformer Model for Accurate and Scalable Sales Forecasting
PowerFDNet: Deep Learning-Based Stealthy False Data Injection Attack Detection for AC-Model Transmission Systems
FedVision: Federated Video Analytics With Edge Computing
BOL-LPP: A Bayesian-Optimized LSTM Model for Day-Ahead Load Price Forecasting in the ERCOT Market
Twitter Bot Detection Using Neural Networks and Linguistic Embeddings
Privacy Preserved Cyber-Physical Searching for Information-Centric Intelligent Agriculture
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework
A Unifying Mathematical Definition of Particle Methods
FOCC: A Synthetically Balanced Federated One-Class-Classification for Cyber Threat Intelligence in Software Defined Networking
An Efficient Decentralized Identity Management System Based on Range Proof for Social Networks
Dynamic Spectrum Coexistence of NR-V2X and Wi-Fi 6E Using Deep Reinforcement Learning
Towards seL4 for Enhanced System Isolation and Security on Embedded Devices
Enhanced Lithographic Hotspot Detection via Multi-Task Deep Learning With Synthetic Pattern Generation
Bilingual Bangla OCR for Rural Empowerment: Detecting Handwritten Queries and Agricultural Assistance
Extractive Text Summarization Using Formality of Language
Exploring the Potential of Deep-Learning and Machine-Learning in Dual-Band Antenna Design
Security Enhanced Emergency Situation Detection System for Ambient Assisted Living
Leakage-Resilient Certificate-Based Authenticated Key Exchange Protocol
An Efficient and Scalable Montgomery Modular Multiplier for Cryptographic Applications
Quantum Computing-Accelerated Kalman Filtering for Satellite Clusters: Algorithms and Comparative Analysis
Membership Inference Attacks and Differential Privacy: A Study Within the Context of Generative Models
SSL-XIoMT: Secure, Scalable, and Lightweight Cross-Domain IoMT Sharing With SSI and ZKP Authentication
ECMO: An Efficient and Confidential Outsourcing Protocol for Medical Data
Co-Existence With IEEE 802.11 Networks in the ISM Band Without Channel Estimation
Emerging Technologies Driving Zero Trust Maturity Across Industries
Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files
Scalability and Security of Blockchain-Empowered Metaverse: A Survey
Reconfigurable Production Lines for Industrial 5.0 Automation: An Intent-Based Approach
Correlation-Based Knowledge Distillation in Exemplar-Free Class-Incremental Learning
Time Series Classification of Raw Voice Waveforms for Parkinson's Disease Detection Using Generative Adversarial Network-Driven Data Augmentation
The Power of Vision Transformers and Acoustic Sensors for Cotton Pest Detection
Graph Split Federated Learning for Distributed Large-Scale AIoT in Smart Cities
On Credibility-Based Service Function Chain Deployment
An Efficient Connected-Component Labeling Algorithm for 3-D Binary Images
Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare
Enhancing Cloud Security: A Multi-Factor Authentication and Adaptive Cryptography Approach Using Machine Learning Techniques
Battery SOH Prediction Under Different Conditions via MBLSTM and iTransformer With Anomaly Detection and Explainability
AI-Driven Energy-Efficient Content Task Offloading in Cloud-Edge-End Cooperation Networks
LightPUF-IIoT: A Lightweight PUF-Based Authentication Scheme With Real-Time Detection of Rogue Devices in Fog-Assisted IIoT Data Sharing
FedWGCA: A Federated Learning Based AAV Intrusion Detection With Gradient Clipping and Attention-Based Neural Networks
Affective Computing and the Road to an Emotionally Intelligent Metaverse
Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions
How Blockchain Enhances Supply Chain Management: A Survey
LLMs on a Budget: System-Level Approaches to Power-Efficient and Scalable Fine-Tuning
Secure Storage of Crypto Wallet Seed Phrase Using ECC and Splitting Technique
Prioritized and Multi-Agent Reinforcement Learning-Based TSCH Schedulers
Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs
A Survey on Real-Time Data Transfer and Energy Consumption Strategies for Rural and Remote IoT Technologies
Deep TPS-PSO: Hybrid Deep Feature Extraction and Global Optimization for Precise 3D MRI Registration
A B-Spline Function Based 3D Point Cloud Flattening Scheme for 3D Fingerprint Recognition and Identification
Neurological Disorder Recognition via Comprehensive Feature Fusion by Integrating Deep Learning and Texture Analysis
Using Extreme Order Statistics of Multimodal Mixture Distributions for Complexity Analysis of Semi-Steady-State Jaya Algorithm
GHOSTForge: A Scalable Consensus Mechanism for DAG-Based Blockchains
Evaluation of Computationally Efficient Identity-Based Proxy Signatures
A Real-Time 3-Dimensional Object Detection Based Human Action Recognition Model
Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues
DriftShield: Autonomous Fraud Detection via Actor-Critic Reinforcement Learning With Dynamic Feature Reweighting
Local Differential Privacy for Person-to-Person Interactions
Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos
Financial Crimes in Web3-Empowered Metaverse: Taxonomy, Countermeasures, and Opportunities
A Framework to Design Efficent Blockchain-Based Decentralized Federated Learning Architectures
Towards Efficient and Privacy-Preserving Versatile Task Allocation for Internet of Vehicles
Cross-Modal Attention Networks for Multi-Modal Anomaly Detection in System Software
Gaussian Kernel-Based LSH for High-Dimensional Similarity Search
Hierarchical Pooling Strategy Optimization for Accelerating Asymptomatic COVID-19 Screening
Comparison of Deep Learning Techniques for RF-Based Human Posture Detection Systems
SPQER: Speech Quality Evaluation Using Word Recognition for VoIP Communication in Lossy and Mobile Networks
ABMF-Net: An Attentive Bayesian Multi-Stage Deep Learning Model for Robust Forecasting of Electricity Price and Demand
A Routing Protocol for UAV-Assisted Vehicular Delay Tolerant Networks
VoiceTalk: A No-Code Approach for Creating Voice-Controlled Smart Home Applications
H2-Cache: A Novel Hierarchical Dual-Stage Cache for High-Performance Acceleration of Generative Diffusion Models
Perceived Recovery Trajectories in Post-Earthquake Nepal - A Visual Exploration With Self Organizing Maps
Network Resource Allocation Strategy Based on Deep Reinforcement Learning
Biometrics and Privacy-Preservation: How Do They Evolve?
A Word Sense Disambiguation Method Applied to Natural Language Processing for the Portuguese Language
Time-Critical Data Dissemination Under Flash Crowd Traffic
A Human-Centered Kinematics Design Optimization of Upper Limb Rehabilitation Exoskeleton Based on Configuration Manifold
CTLA: Compressed Table Look up Algorithm for Open Flow Switch
Designing for the Unlikely: Mitigation Against Rare, High-Impact Threats
A Machine Learning Based Monitoring Framework for Side-Channel Information Leaks
A Probabilistic Method for Hierarchical Multisubject Classification of Documents Based on Multilingual Subject Term Vocabularies
The Rise of Cognitive SOCs: A Systematic Literature Review on AI Approaches
Packet Loss Recovery in Broadcast for Real-Time Applications in Dense Wireless Networks
Anomaly Detection in Key-Management Activities Using Metadata: A Case Study and Framework
Security of Internet of Agents: Attacks and Countermeasures
An Unsupervised Model Based on Knowledge Graph and Concepts for Sentiment Analysis
Promoting the Sustainability of Blockchain in Web 3.0 and the Metaverse Through Diversified Incentive Mechanism Design
Towards Efficient and Delay-Aware NFV-Enabled Unicasting With Adjustable Service Function Chains
Ensemble Answer Selection Leveraging Cross-Lingual Dealignment for Improved Question Answering With Mixture-of-Experts Setup
Musical Genre Classification Using Advanced Audio Analysis and Deep Learning Techniques
An Efficient Neural Cell Architecture for Spiking Neural Networks
Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection
DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification
Benchmark for Personalized Federated Learning
Adversarial Attacks on Person Image Synthesis: Leveraging Pose and Appearance Controls in Denoising Diffusion Models
Verifiable Random Function Schemes Based on SM2 Digital Signature Algorithm and its Applications for Committee Elections
SemCom-OPTIMA: Empirically-Driven Optimization of Semantic Image Transmission Across Heterogeneous Edge-Cloud Systems
Automatic Classifying of Requirements-Relevant Contents From App Reviews in the Arabic Language
Addressing Security Orchestration Challenges in Next-Generation Networks: A Comprehensive Overview
A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities
Hyphatia: A Card-Not-Present Fraud Detection System Based on Self-Supervised Tabular Learning
Stitch-Able Split Learning Assisted Multi-UAV Systems
A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems
Blockchain-Aided Secure Semantic Communication for AI-Generated Content in Metaverse
Multivariate Constrained Elastic Matching With Application in Real-Time Energy Disaggregation
A New Cryptographic Frontier: Key-Independent Security and Post-Quantum Hardness Assumptions
Lead-Aware Multi-Resolution Transformer With Domain Adaptation for Beat-Level ECG Arrhythmia Classification
Quantum Long Short-Term Memory-Assisted Optimization for Efficient Vehicle Platooning in Connected and Autonomous Systems
Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network
An Efficient and Privacy-Preserving Federated Learning Approach Based on Homomorphic Encryption
Optimized UAV Trajectory and Transceiver Design for Over-the-Air Computation Systems
Hybrid Approach for WDM Network Restoration: Deep Reinforcement Learning and Graph Neural Networks
Artificial Intelligence of Behavior for Human Emotion Recognition in Closed Environments
Advancing Data for Street-Level Flood Vulnerability: Evaluation of Variables Extracted from Google Street View in Quito, Ecuador
FERO: Efficient Deep Reinforcement Learning based UAV Obstacle Avoidance at the Edge
4D Feet: Registering Walking Foot Shapes Using Attention Enhanced Dynamic-Synchronized Graph Convolutional LSTM Network
HybridTabNet-QC: A Transformer-Based Clinical Feature Fusion Framework for Heart Disease Risk Prediction
GEN Self-Labeling Object Detector for PCB Recycling Evaluation
Hyperbolic Deep Learning System for Intelligent Gate-Driving and Health Monitoring of Silicon-Carbide Power MOSFETs
Towards Reliable Utilization of AIGC: Blockchain-Empowered Ownership Verification Mechanism
Leveraging AdamW Golden Search Optimized Multi-Level Attention Stacked Feature Generators for Cephalometric Landmark Prediction
Anomaly Detection in the Key-Management Interoperability Protocol Using Metadata
Multimodal Attention-Enhanced Feature Fusion-Based Weakly Supervised Anomaly Violence Detection