yusuke1997/dblp-id-title huggingface dataset:
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
Improvement of Malware Classification Using Hybrid Feature Engineering
IT Service Well-being, in the Higher Education Ecosystem
A Systematic Survey of Automatic Detection of Lung Diseases from Chest X-Ray Images: COVID-19, Pneumonia, and Tuberculosis
A Novel Intelligent Approach for Efficient Detection of Respiratory Infections Combining Face Mask Detection and Thermal Images on Embedded Devices
A Novel Approach of Stock Price Direction and Price Prediction Based on Investor's Sentiments
Identifying Key Success Factors for XR Games to Become eSports in Thailand: An Empirical Study
Denoising Latent Representation with SOMs for Unsupervised IoT Malware Detection
Machine Learning and Deep Learning Approaches for Guava Disease Detection
Efficient Neuroimaging Data Security and Encryption Using Pixel-Based Homomorphic Residue Number System
Stock Indexes Community Identification Using BAT-Modified Optimization Algorithm
IoT-Enabled Predictive Maintenance and Analytic Hierarchy Process Based Prioritization of Real-Time Parameters in a Diesel Generator: An Industry 4.0 Case Study
The Impact of Blockchain Technology for Evaluation of Electronic Medical Certification
Identifying Application Areas for Machine Learning in the Retail Sector
Medical Decision-Making and Pattern Recognition Via an Advanced Similarity Measure Based on Single-Valued Neutrosophic Sets
BFPF-Cloud: Applying SVM for Byzantine Failure Prediction to Increase Availability and Failure Tolerance in Cloud Computing
Breast Cancer CT-Scan Image Classification Using Transfer Learning
IoT-AID: An Automated Decision Support Framework for IoT
Intelligent IoT-Driven Advanced Predictive Maintenance System for Industrial Applications
COVID-19 Literature Mining and Retrieval Using Text Mining Approaches
A Crossbreed and Powerful Machine Learning Archetype for Unparalleled Safety and Effectiveness in Wireless Sensor Networks
Recommendation of Influenced Products Using Association Rule Mining: Neo4j as a Case Study
A Novel Congestion Control Scheme Using Fuzzy Logic Systems to Enhance the Path Selection Criteria in Routing Protocols for Low-Power and Lossy Networks on the Internet of Things
Optimization for Image Sentiment Analysis Using Novel Dual Moth Flame Algorithm
Identifying Public Tenders of Interest Using Classification Models: A Comparative Analysis
A Multi-Optimization Technique for Improvement of Hadoop Performance with a Dynamic Job Execution Method Based on Artificial Neural Network
CRDNN-BiLSTM Knowledge Distillation Model Towards Enhancing the Automatic Speech Recognition
Invasive or More Direct Measurements Can Provide an Objective Early-Stopping Ceiling for Training Deep Neural Networks on Non-invasive or Less-Direct Biomedical Data
A Novel Transfer Learning Method for Code Smell Detection on Heterogeneous Data: A Feasibility Study
Correction: Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models
An Efficient Compression Scheme for Natural Language Text by Hashing
Spatiotemporal Modelling of Soil Organic Carbon Stocks in a Semi-Arid Region Using a Multilayer Perceptron Algorithm
Learning Features Using an optimized Artificial Neural Network for Breast Cancer Diagnosis
A Hybrid Machine Learning and Metaheuristic Based Model for E-Business Risk Management
A Query Conundrum: The Mental Challenges of Using a Cognitive Assistant
Multimodal Deep Fusion with Hybrid Temporal Attention Networks for Enhanced Academic Performance Prediction and Behavior Analysis
QoS-Aware Resource Allocation Scheme for Improved Transmission in 5G Networks with IOT
FPGA-Based Hardware Accelerator for Matrix Inversion
Real-Time Intrusion Detection in IIoT Stream Data Using Window-Based Weighted Ensemble Techniques
TAFFIES: Tailored Automated Feedback Framework for Developing Integrated and Extensible Feedback Systems
Discovering Social Media Influencers Using a Deep Regression Analysis
Fusion of Wavelet Decomposition and N-BEATS for Improved Stock Market Forecasting
Early Diagnosis of COVID-19 Disease by ChestNet Convolutional Neural Network from Chest Xray Images
Application of Advanced Data Fusion and Hybrid Machine Learning Techniques for Strength Prediction and Optimization of Fly-Ash Based Sustainable Concrete
FSS-PART: Feature Grouping Subset Model for Predicting Network Attacks
Usage of Large Language Model for Code Generation Tasks: A Review
Streamlining Legal Document Management: A Knowledge-Driven Service Platform
A Deep Learning Approach for the Detection of Intrusions with an Ensemble Feature Selection Method
Co-expression and Data Fusion Analysis of Omics Data for Liver Related Metabolic Diseases
A Hybrid Lead Scoring-BiGRU Model for Extractive Summarization of News Articles
Advances in Multi-Agent Systems Research: Extended Selected Papers from EUMAS 2022 and EUMAS 2023
Integration of Heuristics-Based Energy Optimal Clustering Topology, Routing and Transmission Scheduling for Enhancing Lifetime in IoT Networks
Single Image Dehazing and Non-uniform Illumination Enhancement: A Z-Score Approach
Wavelet Transform Based Gated-Recurrent Unit Deep Learning Approach for Power Output of Solar Photovoltaic System Forecasting
Specialists, Scientists, and Sentiments: Word2Vec and Doc2Vec in Analysis of Scientific and Medical Texts
A Survey of Digital Twin for Industry 4.0: Benefits, Challenges and Opportunities
RUBAC: Proposed Access Control for Flexible Utility-Privacy Model in Healthcare
FaceEngine: A Tracking-Based Framework for Real-Time Face Recognition in Video Surveillance System
Securing Medical Data by Combining Encryption and Robust Blind Medical Image Watermarking Based on Zaslavsky Chaotic Map and DCT Coefficients
Robust Tweets Classification Using Arithmetic Optimization with Deep Learning for Sustainable Urban Living
A Novel Deep Reinforcement Learning Approach for Stability-Based Parallel Disassembly Sequence Planning Problem
The Expert and Planning Module of an Intelligent Pedagogical Agent for the Development of Critical Thinking
HybridViT: An Approach for Alzheimer's Disease Classification with ADNI Neuroimaging Data
Rasch Computing Analysis of Two Tier Concept Inventory to Assess Engineering Students' Conceptual Knowledge
Security Analysis of Group Key Management Schemes in Wireless Sensor Networks Against IND-SAOA Game
Blockchain-Enabled Healthcare: Critical Analysis of Applications, Limitations, and Technical Solutions
A Group-Centric Intelligence Recommendation System for Twitter
Are Micro-Credentials Valuable for Students? Perspective on Verifiable Digital Credentials
Paraconsistent State Estimator for a Furuta Pendulum Control
A Novel Approach for Enhanced Feature Selection Over Retails Sales Data Using Ensemble Machine Learning Technique
Multi-path Convolutional Neural Network to Identify Tumorous Sub-classes for Breast Tissue from Histopathological Images
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition
Study of AI Techniques in Quality Educations: Challenges and Recent Progress
Energy Consumption and Price Forecasting Through Data-Driven Analysis Methods: A Review
ViT: Quantifying Chest X-Ray Images Using Vision Transformer & XAI Technique
Deep Learning Framework for Breast Cancer Detection and Segmentation Using EfficientNet and U-Net with Hyperparameter Optimization
Affirmative and Negative Sentence Detection in the Brain Using SVM-RFE and Rotation Forest: An fMRI Study
Enhancing DeepFake Detection: Leveraging Mesonet for Video Fraud Identification
SHPIA 2.0: An Easily Scalable, Low-Cost, Multi-purpose Smart Home Platform for Intelligent Applications
CloudSec: A Lightweight and Agile Approach to Secure Medical Image Transmission in the Cloud Computing Environment
SciModeler: A Toolbox for Consolidating Scientific Knowledge within the Field of Health Behavior Change
Edge Detection in Gray-Scale Images Using Partial Sum of Second-Order Taylor Series Expansion
Ethereum's Blockchain Network Mechanism for High-Performance Authentication and Efficient Block Creation
Vision Tracking: A Survey of the State-of-the-Art
System Thinking in Gamification
Advancing Legal Document Summarization: Introducing an Approach Using a Recursive Summarization Algorithm
Hierarchical Contextual Embedding with Hybrid Deep Ensemble for IoT Smart Contract Vulnerability Detection
Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification
A Survey on Statistical and Machine Learning Algorithms Used in Electronic Noses for Food Quality Assessment
A Novel Newton-Raphson Modulo Generator and Its VLSI Architecture for Pseudorandom Bit Generation
Confluence of HSTN and Transformed VGGNet-16 Model: A Deep Learning Assisted Robust COVID-19 Severity Detection Approach in Lung Ultrasound
Enhancing Sparse Index-Tracking Portfolios Using Deep Learning Models
Evaluating Hybrid Architectures: Comparing CNN-LSTM Models Against Traditional Approaches in Heart Disease Prediction
Correction: Diagnosis of COVID‑19 from Multimodal Imaging Data Using Optimized Deep Learning Techniques
Secure Communication Using Multi-Layer Perceptron Neural Network and the Adaptive-Network-Based Fuzzy Inference System in Wireless Network
Secret Key Rate Adaption for Multicarrier Continuous-Variable Quantum Key Distribution
On Sensor Security in the Era of IoT and CPS
Reinforcement Learning in Dynamic Task Scheduling: A Review
A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse
Energy Concerned Clustering Mechanism to Ensure Reliable Data Transmission in Wireless Sensor Network
Comparison of Image-Based and Text-Based Source Code Classification Using Deep Learning
Who Says What (WSW) 2.0: Utterance Semantic Modelling for Speaker Identification in Text-Based Multi-Party Conversations
SDAFPS: Secure Data Aggregation using Fuzzy Judgement, Pattern Category and SHAP Contribution
Main FaaS Providers Behavior Under High Concurrency: An Evaluation with Orama Framework Distributed Architecture
JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation
Cost Minimization of Cloud Services for On-Demand Video Streaming
Real-Time 3D Object Detection, Recognition and Presentation Using a Mobile Device for Assistive Navigation
ADConv-Net: Advanced Deep Convolution Neural Network for COVID-19 Diagnostics Using Chest X-Ray and CT Images
Impact of the Continuous Evolution of Gene Ontology on the Performance of Similarity Measures for Scoring Confidence of Protein Interactions
Neural Networks Implementations on FPGA for Biomedical Applications: A Review
Adaptive Traffic Control Using Cooperative Communication Through Visible Light
A Reference Process for Assessing the Reliability of Predictive Analytics Results
Reliability Estimation and Optimization of a Smart Meter Architecture Using a Monte Carlo Simulation
A Heuristic Greedy Approach to Reduce the Dead Periods of the Sensor Nodes in an On-Demand WRSN
Dimensionality Reduction of Service Monitoring Time-Series: An Industrial Use Case
Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting
Semi-automatic Annotation for Mentions in Hindi Text
SLM Simulation and MonteCarlo Path Tracing for Computer-Generated Holograms
A Critical Scrutiny of ConvNets (CNNs) and Its Applications: Review
DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image
Explainable AI-based Android Malware Detection
Mitigating Security Attacks in Spectrum Allocation in Cognitive Radio Networks
Intrusion Detection System Based on RNN Classifier for Feature Reduction
Deep Learning-Based Crop Recommendation Model for Grape and Bean Yield Prediction Using Micro and Macronutrient Analysis
Towards the Integration of Lightweight Components in Cyber-Physical Systems
Intelligent Task Offloading: Reducing Delay and Offloading Failure Using Predictive Resource Allocation and Deep Reinforcement Learning (ITO-PDR)
A Novel Approach for Specification Testing on Heart Disease Detection Using Feed-Forward Neural Network
The Transferable Belief Model for Failure Prediction in Wireless Sensor Networks
Heart Rate Variability-Based Mental Stress Detection: An Explainable Machine Learning Approach
Generation of SAR Images Using Deep Learning
An Analysis of Adaptable Intelligent Models for Pulmonary Tuberculosis Detection and Classification
Optimized Placement of Distributed Generator in Radial Distribution System Using Whale Optimization Technique
Cephalometric Skeletal Structure Classification Using Convolutional Neural Networks and Heatmap Regression
An Iterative Local Search for the Single Machine Scheduling Problem with Periodic Machine Availability
An Analysis of Software Bug Reports Using Machine Learning Techniques
An Improved 3D-DV-Hop Localization Algorithm to Improve Accuracy for 3D Wireless Sensor Networks
Severity Classification of Code Smells Using Machine-Learning Methods
A Comprehensive Review on Sentiment Perception Using Electroencephalography (EEG)
Performance and Accuracy Enhancement of Machine Learning & IoT-based Agriculture Precision AI System
XGBoosting Cricket: Enhancing Predictive Modeling for Twenty20 Match Results Using Machine Learning and Statistical Techniques
Context-Aware Data Cleaning: Optimizing Bengali Text for Contextual Text Classification
QuadGuard: A Four-Step Verification Blockchain Architecture for Secure Indian Real Estate Transactions
Semantic Integration of Heterogeneous Data Sources Using Ontology-Based Domain Knowledge Modeling for Early Detection of COVID-19
Towards Tolerating Soft Errors for Embedded Systems
Tools and Techniques for Teaching and Research in Network Design and Simulation
An Empirical Study of Progressive Insular Cooperative GP
Optimal Power Loss Index Evaluation Using Metaheuristic Optimization Algorithms in Radial Distributed Networks
A Novel Deep Multi-scale Convolutional Neural Network for Shockable and Non-shockable Arrhythmia Classification
Enhancing the Cognition and Efficacy of Machine Learning Through Similarity
Hybrid EEG-fNIRS Detection of MCI Subtypes Based on Transformer Network
Using Autoencoders and Automatic Differentiation to Reconstruct Missing Variables in a Set of Time Series
Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data
TunBERT: Pretraining BERT for Tunisian Dialect Understanding
A Low-Cost IoT Architecture Based on LPWAN and MQTT for Monitoring Water Resources in Andean Wetlands
Seeing is Learning in High Dimensions: The Synergy Between Dimensionality Reduction and Machine Learning
Improving Backup Strategies in Large DICOM Databases Based on Weighted Image Compression
A Multimodal Contrastive Federated Learning for Digital Healthcare
The Effect of Pre-processing Techniques on the Accuracy of Sentiment Analysis Using Bag-of-Concepts Text Representation
Developing a Total Cost of Ownership Model for Semi-Automated, Automated and Electric Vehicles
Deep Recurrent Residual U-Net with Semi-Supervised Learning for Deforestation Change Detection
Correction: A Statistical Language Modeling Framework for Extractive Summarization of Text Documents
An Optimal Topic Centric Crawler for Acquiring Bio-medical Themes Utilizing Gaussian Support Vector Regression
QUBO Models for the FIFO Stack-Up Problem and Experimental Evaluation on a Quantum Annealer
A Novel Weight-Assignment Load Balancing Algorithm for Cloud Applications
MS-MixVPR: Multi-scale Feature Mixing Approach for Long-Term Place Recognition
Data Dissemination Framework for Optimizing Overhead in IoT-Enabled Systems Using Tabu-RPL
A Rule-Based Method for Identifying Third-Person Arabic Attached Pronouns in Texts
Sentiment Classification from Social Media Amharic Text Using a Deep Neural Network Approach: Politics Domain
Investigating Lattice-Free Acoustic Modeling for Children Automatic Speech Recognition in Low-Resource Settings Under Mismatched Conditions
An Effective Hybrid Model for Fake News Detection in Social Media Using Deep Learning Approach
Enhancing Student Performance for Low Rank Students using Adaptive Deep Multi-Perception Pattern Learning Classification Model
Design of Machine Learning Approach Based Characterization of HRV Dynamics During Meditation Using Multi-domain HRV Features
Investigate the Impact of Self-Efficacy and Intention on Student Utilization of Hybrid Learning Solutions Through the Lens of UTAUT
Design and Development of a Cyber Security Framework for National Time Dissemination
KuroNet: Regularized Residual U-Nets for End-to-End Kuzushiji Character Recognition
Effects of the Flatness Network Parameter Threshold on the Performance of the Rectified Linear Unit Memristor-Like Activation Function in Deep Learning
Exploration of Deep Neural Networks and Effect of Optimizer for Pulmonary Disease Diagnosis
Advanced Breast Cancer Detection Using Spatial Attention and Neural Architecture Search (SANAS-Net)
Auto-Encoder and LSTM-Based Credit Card Fraud Detection
A Review on Malware Analysis for IoT and Android System
Implications of AI and Metaverse in Media and Communication Spaces
Pattern Recognition Based Skin Lesion Stage Analysis Using IoT
A Generalized Quantum Algorithm for Assuring Fairness in Random Selection Among 2 N Participants
Augmented Reality-Based Elementary Level Education for Bengali Character Familiarization
Grading Methods for Fruit Freshness Based on Deep Learning
Data-Driven Forecasting of Agitation for Persons with Dementia: A Deep Learning-Based Approach
Novel Privacy Preserving Authentication Scheme Based on Physical Layer Signatures for Mobile Payments
Benchmarking Quantum Annealing Against "Hard" Instances of the Bipartite Matching Problem
Machine Learning Based Low Redundancy Prediction Model for IoT-Enabled Wireless Sensor Network
FishResNet: Automatic Fish Classification Approach in Underwater Scenario
Study Hour Optimization for Academic Success of Students in Online Learning
A General Approach to Conflict Detection in Software-Defined Networks
Machine Learning-Based Water Management Strategies for Sustainable Groundwater Resources
A Reversible Medical Image Watermarking Scheme for Advanced Image Tampering Detection
Genre Recognition from Symbolic Music with CNNs: Performance and Explainability
Predicting Liver Disorders Using an Extreme Learning Machine
Wait-Free Consensus via XOR Secret Sharing: A Scalable Approach to Shared Coin Flipping
Real-Time Cloud-Based Load Balance Algorithms and an Analysis
Extended Authorization Policy for Graph-Structured Data
A Prototype Modeling of Smart Irrigation System Using Event-B
Visual Linguistic Model and Its Applications in Image Captioning
Efficient Virtual Machine Placement Strategy Based on Enhanced Genetic Approach
A New Model to Evaluate Signature and Anomaly Based Intrusion Detection in Medical IoT System Using Ensemble Approach
Adaptive Fuzzy-Logic Traffic Control Approach Based on Volunteer IoT Agent Mechanism
Image Processing-Based Disease Prediction in Medical Plant Leaf
Automated Vision-Based Fatigue Crack Growth Monitoring Based on Background Subtraction
A Hybrid Bio-inspired Fuzzy Feature Selection Approach for Opinion Mining of Learner Comments
Statistical Heart Rate Variability of Capacitive Electrocardiogram Signal Using UnoViS Database
Designing an Attribute-Based Encryption Scheme with an Enhanced Anonymity Model for Privacy Protection in E-Health
Robust Design and Intelligent Modelling of Organic-Based Composites for Armoury Applications
Correlation-Based Weight Algorithm for Diagnosing Parkinson's Induced Voice Disorder
On Addressing the Low Rating Prediction Coverage in Sparse Datasets Using Virtual Ratings
Machine Learning for Identifying Emergent and Floating Aquatic Vegetation from Space: A Case Study in the Dniester Delta, Ukraine
A Comparative Analysis Between Proposed Neuro-fuzzy, Fuzzy, and Heuristic-Neuro-fuzzy Controller for Autonomous Vehicle Parking in the Dynamic Environment
Clustering Analyses of Two-Dimensional Space-Filling Curves: Hilbert and z-Order Curves
Detection of Violent Elements in Digital Games Using Deep Learning
A Flexible and Accurate Solver for Continuous-Time Algebraic Riccati Equations
Detecting Phishing SMS Based on Multiple Correlation Algorithms
Topics, Sentiments, and Emotions Triggered by COVID-19-Related Tweets from IRAN and Turkey Official News Agencies
EMaC: Dynamic VM Consolidation Framework for Energy-Efficiency and Multi-metric SLA Compliance in Cloud Data Centers
Characterization of Soil Degradation from the Cameroonians Shores of Lake Chad Combining Spectral Indexes and Statistics Analysis
Deep Fusion of Hyperspectral and LiDAR Images Using Attention-Based CNN
Enhanced Cross-Domain Recommendation System Using Collaborative Filtering and Transfer Learning Methods
A Novel Hybrid Deep Learning Framework with Metaheuristic Optimization for Accurate Software Effort Estimation
Enhanced Pulmonary Embolism Detection in CT Angiography Using Spectral ResNet Hyper Convolutional Neural Network
Extending the Capabilities of Reinforcement Learning Through Curriculum: A Review of Methods and Applications
Customized Transfer Learning Models for Oral Squamous Cell Carcinoma Classification and Detection using Histopathological H&E Stained Images
Convolution Formulation of Cost Function in Cohen-Or Color Harmonization
Diagramming Multi-Level Service-Oriented Enterprise Architecture
Optimizing 5G Network Slicing for Heterogeneous Services
Enhancing Deep Neural Network Performance in Diabetes Classification: A Hybrid Optimization Approach with Kernel Similarity
Detecting Deceptive Identities: A Machine Learning Approach to Unveiling Fake Profiles on Social Media
Design of Asymmetrically Loaded Dual Band Antenna for ISM Band Applications
Data Confidentiality in Machine Learning: Exploring Multivariate Regression and Its Application on Encrypted Medical Data
Data-Centric AI for Healthcare Fraud Detection
Periodic Analysis of Resistive Random Access Memory (RRAM)-Based Swish Activation Function
Building a Scalable and Coercion-Resistant E-Voting System Using Blockchain
Localize the Copy-Move Forged Region of an Image Using Improved SIFT
Enhancing Reliability in Mobile Ad Hoc Networks (MANETs) Through the K-AOMDV Routing Protocol to Mitigate Black Hole Attacks
Enhancing the Security of SDN in 5G: A Hybrid Feature Selection Based Ensemble Machine Learning Framework for Classification of Cyber-Attacks
An Efficient EPReLU-CSGNN-MALSTCAM and SSOA-Based Explainable Artificial Intelligence (XAI) to Generate Textual Explanations
Data Summarization in Internet of Things
Modified Hybrid Moth Optimization Algorithm for PFSS Problem
Comparative Analysis of Machine Learning Models for Crop Yield Prediction Across Multiple Crop Types
LitCovNet: Attention-Based Lightweight Convolutional Network for Covid and Lung Disease Classification from Chest X-ray Images
A Fully Automated Methodology for the Selection and Extraction of Energy-Relevant Features for the Energy Consumption of Battery Electric Vehicles
Conditional Orangutan Optimization Algorithm Based FractalCovNet for Chili Lead Disease Detection
DyClust: A Hybrid Key Management Scheme for Wireless Sensor Network
Enhancing Cloud Security Through a Multi-Level Authentication Model: A QoS-Based Approach to Performance Measurement for Source Management
A Systematic Literature Review of Food Recommender Systems
Performance Evaluation of RPL Protocol Under Decreased and Increased Rank Attacks: A Focus on Smart Home Use-Case
Digital Forensics Analysis of a Vehicle Tracking System
Median Economic Community Framework for Waste Management Using IoT
A Comprehensive Analysis on Image Encryption and Compression Techniques with the Assessment of Performance Evaluation Metrics
Vision Transformer Based Effective Model for Early Detection and Classification of Lung Cancer
DeepXAI-ERS: An Explainable Deep Forest Approach for EEG-Based Emotion Recognition Systems
Towards Effective Software Defect Prediction Using Machine Learning Techniques
Automatic Modulation Classification for CR Using Deep Learning
A Topical Review on Container-Based Cloud Revolution: Multi-Directional Challenges, and Future Trends
An Improved Fuzzy Grounded Dynamic Package Priority Resolve and Line Management System in Wireless Sensor Network