yusuke1997/dblp-id-title huggingface dataset:
Intelligent Method for Classifying the Level of Anthropogenic Disasters
The Relative Importance of Key Factors for Integrating Enterprise Resource Planning (ERP) Systems and Performance Management Practices in the UAE Healthcare Sector
Scalable Extended Reality: A Future Research Agenda
An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations
Estimating Causal Effects When the Treatment Affects All Subjects Simultaneously: An Application
Benchmarking of Anomaly Detection Methods for Industry 4.0: Evaluation, Ranking, and Practical Recommendations
Detection and Localization of Hidden IoT Devices in Unknown Environments Based on Channel Fingerprints
On Continually Tracing Origins of LLM-Generated Text and Its Application in Detecting Cheating in Student Coursework
Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring
MM-EMOR: Multi-Modal Emotion Recognition of Social Media Using Concatenated Deep Learning Networks
An Empirical Study on Core Data Asset Identification in Data Governance
Harnessing Graph Neural Networks to Predict International Trade Flows
Executable Digital Process Twins: Towards the Enhancement of Process-Driven Systems
A Secure Learned Image Codec for Authenticity Verification via Self-Destructive Compression
DeB3RTa: A Transformer-Based Model for the Portuguese Financial Domain
ID2SBVR: A Method for Extracting Business Vocabulary and Rules from an Informal Document
Predicting Colorectal Cancer Using Machine and Deep Learning Algorithms: Challenges and Opportunities
Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning
RazorNet: Adversarial Training and Noise Training on a Deep Neural Network Fooled by a Shallow Neural Network
Island Design Camps - Interactive Video Projections as Extended Realities
Massive Parallel Alignment of RNA-seq Reads in Serverless Computing
Unscented Kalman Filter Based on Spectrum Sensing in a Cognitive Radio Network Using an Adaptive Fuzzy System
Fast and Effective Retrieval for Large Multimedia Collections
Machine Learning-Driven Dynamic Traffic Steering in 6G: A Novel Path Selection Scheme
Comparison of Object Detection in Head-Mounted and Desktop Displays for Congruent and Incongruent Environments
Ranking Influential Non-Content Factors on Scientific Papers' Citation Impact: A Multidomain Comparative Analysis
IS-DT: A New Feature Selection Method for Determining the Important Features in Programmatic Buying
Predicting the Price of Bitcoin Using Sentiment-Enriched Time Series Forecasting
Enhancing the Early Detection of Chronic Kidney Disease: A Robust Machine Learning Model
A Hybrid Segmentation Algorithm for Rheumatoid Arthritis Diagnosis Using X-ray Images
Transitioning from TinyML to Edge GenAI: A Review
DASentimental: Detecting Depression, Anxiety, and Stress in Texts via Emotional Recall, Cognitive Networks, and Machine Learning
Cross-Dataset Emotion Valence Prediction Approach from 4-Channel EEG: CNN Model and Multi-Modal Evaluation
COVID-19 Severity Classification Using Hybrid Feature Extraction: Integrating Persistent Homology, Convolutional Neural Networks and Vision Transformers
Margin-Based Training of HDC Classifiers
Reusing ML Models in Dynamic Data Environments: Data Similarity-Based Approach for Efficient MLOps
Service Oriented R-ANN Knowledge Model for Social Internet of Things
A Holistic Scalability Strategy for Time Series Databases Following Cascading Polyglot Persistence
Multimodal Emotional Classification Based on Meaningful Learning
Empathetic Response Generation Based on Emotional Transition Prompt and Dual-Semantic Contrastive Learning
Replacing Rules by Neural Networks A Framework for Agent-Based Modelling
No-Code Edge Artificial Intelligence Frameworks Comparison Using a Multi-Sensor Predictive Maintenance Dataset
Enhancing Hierarchical Classification in Tree-Based Models Using Level-Wise Entropy Adjustment
Adaptive KNN-Based Extended Collaborative Filtering Recommendation Services
The Extended Digital Maturity Model
LFA: A Lévy Walk and Firefly-Based Search Algorithm: Application to Multi-Target Search and Multi-Robot Foraging
Proposal of a Blockchain-Based Data Management System for Decentralized Artificial Intelligence Devices
Fog Computing for Internet of Things (IoT)-Aided Smart Grid Architectures
Managing and Optimizing Big Data Workloads for On-Demand User Centric Reports
Who Will Author the Synthetic Texts? Evoking Multiple Personas from Large Language Models to Represent Users' Associative Thesauri
An Information System Supporting Insurance Use Cases by Automated Anomaly Detection
A Novel Method for Improving Baggage Classification Using a Hyper Model of Fusion of DenseNet-161 and EfficientNet-B5
Exploring Ensemble-Based Class Imbalance Learners for Intrusion Detection in Industrial Control Networks
Incentive Mechanisms for Smart Grid: State of the Art, Challenges, Open Issues, Future Directions
The Need for Standards in Evaluating the Quality of Electronic Health Records and Dental Records: A Narrative Review
Proposal of a Service Model for Blockchain-Based Security Tokens
LeONet: A Hybrid Deep Learning Approach for High-Precision Code Clone Detection Using Abstract Syntax Tree Features
Virtual Reality-Based Stimuli for Immersive Car Clinics: A Performance Evaluation Model
Analysis of Highway Vehicle Lane Change Duration Based on Survival Model
From Big Data to Deep Learning: A Leap Towards Strong AI or 'Intelligentia Obscura'?
Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance
A Survey on the Applications of Cloud Computing in the Industrial Internet of Things
EMG Pattern Recognition in the Era of Big Data and Deep Learning
Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis
Hardening the Security of Multi-Access Edge Computing through Bio-Inspired VM Introspection
A Hybrid Ensemble Approach for Greek Text Classification Based on Multilingual Models
Arabic Tweets-Based Sentiment Analysis to Investigate the Impact of COVID-19 in KSA: A Deep Learning Approach
Explaining Intrusion Detection-Based Convolutional Neural Networks Using Shapley Additive Explanations (SHAP)
eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning
Mining Temporal Patterns to Discover Inter-Appliance Associations Using Smart Meter Data
Data-Driven Short-Term Load Forecasting for Multiple Locations: An Integrated Approach
Data-Driven Load Forecasting of Air Conditioners for Demand Response Using Levenberg-Marquardt Algorithm-Based ANN
Suspension Parameter Estimation Method for Heavy-Duty Freight Trains Based on Deep Learning
A Dataset for Emotion Recognition Using Virtual Reality and EEG (DER-VREEG): Emotional State Classification Using Low-Cost Wearable VR-EEG Headsets
Digitalisation and Big Data Mining in Banking
Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction-Extension Scheme
CompositeView: A Network-Based Visualization Tool
A Pattern-Based Framework for Automated Migration of Monolithic Applications to Microservices
Highway Accident Hotspot Identification Based on the Fusion of Remote Sensing Imagery and Traffic Flow Information
Leveraging Mixture of Experts and Deep Learning-Based Data Rebalancing to Improve Credit Fraud Detection
AI-Based User Empowerment for Empirical Social Research
Joint Optimization of Route and Speed for Methanol Dual-Fuel Powered Ships Based on Improved Genetic Algorithm
Explainable Deep Learning for COVID-19 Vaccine Sentiment in Arabic Tweets Using Multi-Self-Attention BiLSTM with XLNet
Analyzing the Attractiveness of Food Images Using an Ensemble of Deep Learning Models Trained via Social Media Images
Evaluation of Short-Term Rockburst Risk Severity Using Machine Learning Methods
A New Approach to Data Analysis Using Machine Learning for Cybersecurity
See with Your Eyes, Hear with Your Ears and Listen to Your Heart: Moving from Dyadic Teamwork Interaction towards a More Effective Team Cohesion and Collaboration in Long-Term Spaceflights under Stressful Conditions
Dependency Reduction Techniques for Performance Improvement of Hyperledger Fabric Blockchain
Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review
Deep Learning-Based Method for a Ground-State Solution of Bose-Fermi Mixture at Zero Temperature
Efficient Data Augmentation Methods for Crop Disease Recognition in Sustainable Environmental Systems
A Critical Analysis of Government Communication via X (Twitter)
Enhancing Digital Health Services with Big Data Analytics
An Artificial-Intelligence-Driven Spanish Poetry Classification Framework
A Model for Enhancing Unstructured Big Data Warehouse Execution Time
Enhancing Marketing Provision through Increased Online Safety That Imbues Consumer Confidence: Coupling AI and ML with the AIDA Model
Exploring Machine Learning Models for Soil Nutrient Properties Prediction: A Systematic Review
Archetype-Based Modeling and Search of Social Media
GO-E-MON: A New Online Platform for Decentralized Cognitive Science
6G Cognitive Information Theory: A Mailbox Perspective
Boost-Classifier-Driven Fault Prediction Across Heterogeneous Open-Source Repositories
Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children
Big-Crypto: Big Data, Blockchain and Cryptocurrency
MalBERTv2: Code Aware BERT-Based Model for Malware Identification
From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions
FedPLDSE: Submodel Extraction for Federated Learning in Heterogeneous Smart City Devices
Trustworthy AI Guidelines in Biomedical Decision-Making Applications: A Scoping Review
Topological Signature of 19th Century Novelists: Persistent Homology in Text Mining
Context-Aware Explainable Recommendation Based on Domain Knowledge Graph
Solar and Wind Data Recognition: Fourier Regression for Robust Recovery
Iris Liveness Detection Using Multiple Deep Convolution Networks
Ensemble of Convolutional Neural Networks for COVID-19 Localization on Chest X-ray Images
A Helium Speech Correction Method Based on Generative Adversarial Networks
Semantic-Driven Approach for Validation of IoT Streaming Data in Trustable Smart City Decision-Making and Monitoring Systems
Exploring the Major Trends and Emerging Themes of Artificial Intelligence in the Scientific Leading Journals amidst the COVID-19 Era
Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network
FL-Swarm MRCM: A Novel Federated Learning Framework for Cross-Site Medical Image Reconstruction
Using Vector Databases for the Selection of Related Occupations: An Empirical Evaluation Using O*NET
Large Language Model-Based Topic-Level Sentiment Analysis for E-Grocery Consumer Reviews
New Efficient Approach to Solve Big Data Systems Using Parallel Gauss-Seidel Algorithms
Cognitive Computing with Large Language Models for Student Assessment Feedback
XplAInable: Explainable AI Smoke Detection at the Edge
Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis
RecurrentOcc: An Efficient Real-Time Occupancy Prediction Model with Memory Mechanism
Speech Separation Using Advanced Deep Neural Network Methods: A Recent Survey
The "Social" Side of Big Data: Teaching BD Analytics to Political Science Students
Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction
Reimaging Research Methodology as Data Science
Fast Adaptive Approximate Nearest Neighbor Search with Cluster-Shaped Indices
Deep-Learning-Driven Turbidity Level Classification
Labeling Network Intrusion Detection System (NIDS) Rules with MITRE ATT&CK Techniques: Machine Learning vs. Large Language Models
Hierarchical Discourse-Semantic Modeling for Zero Pronoun Resolution in Chinese
Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy
Evidential K-Nearest Neighbors with Cognitive-Inspired Feature Selection for High-Dimensional Data
Explicit and Implicit Knowledge in Large-Scale Linguistic Data and Digital Footprints from Social Networks
Stock Trend Prediction with Machine Learning: Incorporating Inter-Stock Correlation Information through Laplacian Matrix
Multi-Level Clustering-Based Outlier's Detection (MCOD) Using Self-Organizing Maps
Brain Tumor Detection Using Magnetic Resonance Imaging and Convolutional Neural Networks
DBSCAN SMOTE LSTM: Effective Strategies for Distributed Denial of Service Detection in Imbalanced Network Environments
Big Data Management in Drug-Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare
RSS-Based Wireless LAN Indoor Localization and Tracking Using Deep Architectures
A Meta-Survey on Intelligent Energy-Efficient Buildings
MS-PreTE: A Multi-Scale Pre-Training Encoder for Mobile Encrypted Traffic Classification
An Approach to Enable Human-3D Object Interaction Through Voice Commands in an Immersive Virtual Environment
Analysis of China's High-Speed Railway Network Using Complex Network Theory and Graph Convolutional Networks
Adaptive, Privacy-Enhanced Real-Time Fraud Detection in Banking Networks Through Federated Learning and VAE-QLSTM Fusion
Cognitive Method for Synthesising a Fuzzy Controller Mathematical Model Using a Genetic Algorithm for Tuning
Cognitive Computing for Understanding and Restoring Color in Renaissance Art
BankNet: Real-Time Big Data Analytics for Secure Internet Banking
A Data-Driven Machine Learning Approach for Corrosion Risk Assessment - A Comparative Study
Robust Clinical Querying with Local LLMs: Lexical Challenges in NL2SQL and Retrieval-Augmented QA on EHRs
Treatment of Bad Big Data in Research Data Management (RDM) Systems
Gambling Strategies and Prize-Pricing Recommendation in Sports Multi-Bets
Deep Learning and YOLOv8 Utilized in an Accurate Face Mask Detection System
Big Data Maturity Assessment Models: A Systematic Literature Review
Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users
Data Science Approach for Simulating Educational Data: Towards the Development of Teaching Outcome Model (TOM)
Strawberry Ripeness Detection Using Deep Learning Models
An Overview of Data Warehouse and Data Lake in Modern Enterprise Data Management
Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review
Efficient Dynamic Emotion Recognition from Facial Expressions Using Statistical Spatio-Temporal Geometric Features
Addressing Credit Card Fraud Detection Challenges with Adversarial Autoencoders
Environmental Justice and the Use of Artificial Intelligence in Urban Air Pollution Monitoring
CME-YOLO: A Cross-Modal Enhanced YOLO Algorithm for Adverse Weather Object Detection in Autonomous Driving
Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model
Transferring Natural Language Datasets Between Languages Using Large Language Models for Modern Decision Support and Sci-Tech Analytical Systems
VizTract: Visualization of Complex Social Networks for Easy User Perception
SplitGround: Long-Chain Reasoning Split via Modular Multi-Expert Collaboration for Training-Free Scene Knowledge-Guided Visual Grounding
Defining, Detecting, and Characterizing Power Users in Threads
Is My Pruned Model Trustworthy? PE-Score: A New CAM-Based Evaluation Metric
Deep Learning-Based Draw-a-Person Intelligence Quotient Screening
Re-Evaluating Deep Learning Attacks and Defenses in Cybersecurity Systems
Contextual Intelligence: An AI Approach to Manufacturing Skills' Forecasting
From Accuracy to Vulnerability: Quantifying the Impact of Adversarial Perturbations on Healthcare AI Models
A Personalized Heritage-Oriented Recommender System Based on Extended Cultural Tourist Typologies
SQL and NoSQL Database Software Architecture Performance Analysis and Assessments - A Systematic Literature Review
Application of Artificial Intelligence for Fraudulent Banking Operations Recognition
Personality Traits Estimation Based on Job Interview Video Analysis: Importance of Human Nonverbal Cues Detection
Topic Analysis of the Literature Reveals the Research Structure: A Case Study in Periodontics
Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems
Structural Differences of the Semantic Network in Adolescents with Intellectual Disability
Integration of Associative Tokens into Thematic Hyperspace: A Method for Determining Semantically Significant Clusters in Dynamic Text Streams
A Deep Ensemble Learning Approach Based on a Vision Transformer and Neural Network for Multi-Label Image Classification
Blockchain-Based Double-Layer Byzantine Fault Tolerance for Scalability Enhancement for Building Information Modeling Information Exchange
Scalable Predictive Modeling for Hospitalization Prioritization: A Hybrid Batch-Streaming Approach
Rail Surface Defect Diagnosis Based on Image-Vibration Multimodal Data Fusion
Deep Neural Network and Boosting Based Hybrid Quality Ranking for e-Commerce Product Search
RoBERTaEns: Deep Bidirectional Encoder Ensemble Model for Fact Verification
Facial Age Estimation Using Machine Learning Techniques: An Overview
Lung Cancer Risk Prediction with Machine Learning Models
Social Acceptability in Context: Stereotypical Perception of Shape, Body Location, and Usage of Wearable Devices
QiGSAN: A Novel Probability-Informed Approach for Small Object Segmentation in the Case of Limited Image Datasets
eFC-Evolving Fuzzy Classifier with Incremental Clustering Algorithm Based on Samples Mean Value
Virtual Reality Adaptation Using Electrodermal Activity to Support the User Experience
An Enhanced Genetic Algorithm for Optimized Educational Assessment Test Generation Through Population Variation
Predicting the Damage of Urban Fires with Grammatical Evolution
Exploiting Inter- and Intra-Base Crossing with Multi-Mappings: Application to Environmental Data
JAMPI: Efficient Matrix Multiplication in Spark Using Barrier Execution Mode
Analyzing Trends in Digital Transformation Korean Social Media Data: A Semantic Network Analysis
Assessment of Cognitive Aging Using an SSVEP-Based Brain-Computer Interface System
Driving Excellence in Official Statistics: Unleashing the Potential of Comprehensive Digital Data Governance
A Systematic Literature Review of Artificial Intelligence in Prehospital Emergency Care
NLP-Based Bi-Directional Recommendation System: Towards Recommending Jobs to Job Seekers and Resumes to Recruiters
Security and Privacy Threats and Requirements for the Centralized Contact Tracing System in Korea
Comparing Swarm Intelligence Algorithms for Dimension Reduction in Machine Learning
PSR-LeafNet: A Deep Learning Framework for Identifying Medicinal Plant Leaves Using Support Vector Machines
Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis
Machine Learning Styles for Diabetic Retinopathy Detection: A Review and Bibliometric Analysis
Hospital Web Quality Multicriteria Analysis Model (HWQ): Development and Application Test in Spanish Hospitals
Face-to-Face Interactions Estimated Using Mobile Phone Data to Support Contact Tracing Operations
An Inquiry into the Evolutionary Game among Tripartite Entities and Strategy Selection within the Framework of Personal Information Authorization
Data Sorting Influence on Short Text Manual Labeling Quality for Hierarchical Classification
A Scientific Perspective on Using Artificial Intelligence in Sustainable Urban Development
A Model Development Approach Based on Point Cloud Reconstruction and Mapping Texture Enhancement
Advanced Word Game Design Based on Statistics: A Cross-Linguistic Study with Extended Experiments
Combining Semantic Matching, Word Embeddings, Transformers, and LLMs for Enhanced Document Ranking: Application in Systematic Reviews
Contemporary Art Authentication with Large-Scale Classification
Pixel-Dehaze: Deciphering Dehazing Through Regression-Based Depth and Scattering Estimation
Tactically Maximize Game Advantage by Predicting Football Substitutions Using Machine Learning
An Intelligent Self-Validated Sensor System Using Neural Network Technologies and Fuzzy Logic Under Operating Implementation Conditions
Your Eyes Under Pressure: Real-Time Estimation of Cognitive Load with Smooth Pursuit Tracking
Characterizing User Archetypes and Discussions on Social Hypernetworks
Experimental Evaluation: Can Humans Recognise Social Media Bots?
Robust Multi-Mode Synchronization of Chaotic Fractional Order Systems in the Presence of Disturbance, Time Delay and Uncertainty with Application in Secure Communications
Empowering Propaganda Detection in Resource-Restraint Languages: A Transformer-Based Framework for Classifying Hindi News Articles
Inverse Firefly-Based Search Algorithms for Multi-Target Search Problem
An Enhanced Parallelisation Model for Performance Prediction of Apache Spark on a Multinode Hadoop Cluster
PROTECTION: A BPMN-Based Data-Centric Process-Modeling-Managing-and-Mining Framework for Pandemic Prevention and Control
Efficient Scheduling for GPU-Based Neural Network Training via Hybrid Reinforcement Learning and Metaheuristic Optimization
Correction: Chen et al. Mandarin Recognition Based on Self-Attention Mechanism with Deep Convolutional Neural Network (DCNN)-Gated Recurrent Unit (GRU). Big Data Cogn. Comput. 2024, 8, 195
Modelling Early Word Acquisition through Multiplex Lexical Networks and Machine Learning
DLBCNet: A Deep Learning Network for Classifying Blood Cells
Discovering the Emotions of Frustration and Confidence During the Application of Cognitive Tests in Mexican University Students
Weaponization of the Growing Cybercrimes inside the Dark Net: The Question of Detection and Application
A Web-Based Platform for Hand Rehabilitation Assessment
Monitoring of First Responders Biomedical Data During Training with Innovative Virtual Reality Technologies
Sound Event Detection in Underground Parking Garage Using Convolutional Neural Network
COVID-19 Classification through Deep Learning Models with Three-Channel Grayscale CT Images
Geospatial Mapping of Suicide-Related Tweets and Sentiments among Malaysians during the COVID-19 Pandemic
Leveraging Image Representation of Network Traffic Data and Transfer Learning in Botnet Detection
Comparison of Bagging and Sparcity Methods for Connectivity Reduction in Spiking Neural Networks with Memristive Plasticity
Traceability for Trustworthy AI: A Review of Models and Tools
The Potential of the SP System in Machine Learning and Data Analysis for Image Processing
LLMs in Cyber Security: Bridging Practice and Education
Machine Learning-Based Analysis of Travel Mode Preferences: Neural and Boosting Model Comparison Using Stated Preference Data from Thailand's Emerging High-Speed Rail Network
A Self-Attention CycleGAN for Unsupervised Image Hazing
A Novel Algorithm for Multi-Criteria Ontology Merging through Iterative Update of RDF Graph
The Value of Web Data Scraping: An Application to TripAdvisor
A New Comparative Study of Dimensionality Reduction Methods in Large-Scale Image Retrieval
Parallelization Strategies for Graph-Code-Based Similarity Search
InfoFlow: A Distributed Algorithm to Detect Communities According to the Map Equation
Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack
Trustworthy AI for Whom? GenAI Detection Techniques of Trust Through Decentralized Web3 Ecosystems
FinSoSent: Advancing Financial Market Sentiment Analysis through Pretrained Large Language Models
A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health
Adaptive Provisioning of Heterogeneous Cloud Resources for Big Data Processing
AI Governance and the Policymaking Process: Key Considerations for Reducing AI Risk
BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance Mitigation
AGR4BS: A Generic Multi-Agent Organizational Model for Blockchain Systems
AI-Powered Trade Forecasting: A Data-Driven Approach to Saudi Arabia's Non-Oil Exports
Reinforced Residual Encoder-Decoder Network for Image Denoising via Deeper Encoding and Balanced Skip Connections