yusuke1997/dblp-id-title huggingface dataset:
Health Use Cases of AI Chatbots: Identification and Analysis of ChatGPT Prompts in Social Media Discourses
A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination
LSTM-CRP: Algorithm-Hardware Co-Design and Implementation of Cache Replacement Policy Using Long Short-Term Memory
Comparative Evaluation of Multimodal Large Language Models for No-Reference Image Quality Assessment with Authentic Distortions: A Study of OpenAI and Claude.AI Models
Image Visual Quality: Sharpness Evaluation in the Logarithmic Image Processing Framework
A Multi-Model Machine Learning Framework for Daily Stock Price Prediction
A Neural Network Propagation Model for LoRaWAN and Critical Analysis with Real-World Measurements
Combining Sociocultural Intelligence with Artificial Intelligence to Increase Organizational Cyber Security Provision through Enhanced Resilience
Optimizing Operation Room Utilization - A Prediction Model
A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework
Overcoming Domain Shift in Violence Detection with Contrastive Consistency Learning
Ticket Sales Prediction and Dynamic Pricing Strategies in Public Transport
The Development of Small-Scale Language Models for Low-Resource Languages, with a Focus on Kazakh and Direct Preference Optimization
The Optimization Strategies on Clarification of the Misconceptions of Big Data Processing in Dynamic and Opportunistic Environments
An Intelligent Bat Algorithm for Web Service Selection with QoS Uncertainty
Forecasting Human Core and Skin Temperatures: A Long-Term Series Approach
The Art of the Masses: Overviews on the Collective Visual Heritage through Convolutional Neural Networks
An Obstacle-Finding Approach for Autonomous Mobile Robots Using 2D LiDAR Data
Memory Recall Support System Based on Active Acquisition and Accumulation of Memory Fragments
Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach
Image Fundus Classification System for Diabetic Retinopathy Stage Detection Using Hybrid CNN-DELM
PK-Judge: Enhancing IP Protection of Neural Network Models Using an Asymmetric Approach
Usable Privacy and Security in Mobile Applications: Perception of Mobile End Users in Saudi Arabia
Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis
Keyword Search over RDF: Is a Single Perspective Enough?
Eliciting Emotions: Investigating the Use of Generative AI and Facial Muscle Activation in Children's Emotional Recognition
TranScreen: Transfer Learning on Graph-Based Anti-Cancer Virtual Screening Model
Intelligent Multi-Lingual Cyber-Hate Detection in Online Social Networks: Taxonomy, Approaches, Datasets, and Open Challenges
Semantic Trajectory Analytics and Recommender Systems in Cultural Spaces
Attention-Driven Deep Learning for News-Based Prediction of Disease Outbreaks
PerTract: Model Extraction and Specification of Big Data Systems for Performance Prediction by the Example of Apache Spark and Hadoop
Detecting Multi-Density Urban Hotspots in a Smart City: Approaches, Challenges and Applications
BNMI-DINA: A Bayesian Cognitive Diagnosis Model for Enhanced Personalized Learning
Beneficial Artificial Intelligence Coordination by Means of a Value Sensitive Design Approach
A Meta-Survey of Generative AI in Education: Trends, Challenges, and Research Directions
Does Low Spoilage Under Cold Conditions Foster Cultural Complexity During the Foraging Era? - Agent-Based Modeling and Reinforcement-Learning Approach
Cross-Lingual Bimodal Emotion Recognition with LLM-Based Label Smoothing
Ethical AI in Financial Inclusion: The Role of Algorithmic Fairness on User Satisfaction and Recommendation
A Rule Extraction Study from SVM on Sentiment Analysis
A Critical Assessment of Modern Generative Models' Ability to Replicate Artistic Styles
Q8VaxStance: Dataset Labeling System for Stance Detection towards Vaccines in Kuwaiti Dialect
Big Data Analytics Applications in Information Management Driving Operational Efficiencies and Decision-Making: Mapping the Field of Knowledge with Bibliometric Analysis Using R
Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model
A 5G Cognitive System for Healthcare
Integrating OLAP with NoSQL Databases in Big Data Environments: Systematic Mapping
TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors
Google Street View Images as Predictors of Patient Health Outcomes, 2017-2019
PCB Component Detection Using Computer Vision for Hardware Assurance
LLMs and NLP Models in Cryptocurrency Sentiment Analysis: A Comparative Classification Study
Application of Task Allocation Algorithms in Multi-UAV Intelligent Transportation Systems: A Critical Review
An Enhanced Inference Algorithm for Data Sampling Efficiency and Accuracy Using Periodic Beacons and Optimization
A Domain-Oriented Analysis of the Impact of Machine Learning - The Case of Retailing
Quantifying Variations in Controversial Discussions within Kuwaiti Social Networks
Training Neural Networks with a Procedure Guided by BNF Grammars
A Review of the State-of-the-Art Techniques and Analysis of Transformers for Bengali Text Summarization
Extraction of the Relations among Significant Pharmacological Entities in Russian-Language Reviews of Internet Users on Medications
Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks
Sentiment Analysis Using Amazon Web Services and Microsoft Azure
Big Data Research in Fighting COVID-19: Contributions and Techniques
Data Privacy and Security in Autonomous Connected Vehicles in Smart City Environment
Automatic Generation of Medical Case-Based Multiple-Choice Questions (MCQs): A Review of Methodologies, Applications, Evaluation, and Future Directions
GenAI Learning for Game Design: Both Prior Self-Transcendent Pursuit and Material Desire Contribute to a Positive Experience
A Holistic Framework for Forecasting Transformative AI
A Simultaneous Wireless Information and Power Transfer-Based Multi-Hop Uneven Clustering Routing Protocol for EH-Cognitive Radio Sensor Networks
#lockdown: Network-Enhanced Emotional Profiling in the Time of COVID-19
A Hierarchical Hadoop Framework to Process Geo-Distributed Big Data
DaSAM: Disease and Spatial Attention Module-Based Explainable Model for Brain Tumor Detection
A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda
An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning
Assessment of Cybersecurity Awareness among Students of Majmaah University
Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm
Triggers and Tweets: Implicit Aspect-Based Sentiment and Emotion Analysis of Community Chatter Relevant to Education Post-COVID-19
Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Unsupervised Deep Learning for Structural Health Monitoring
Cooking Is Creating Emotion: A Study on Hinglish Sentiments of Youtube Cookery Channels Using Semi-Supervised Approach
A Survey on Medical Image Segmentation Based on Deep Learning Techniques
Graph-Based Semi-Supervised Deep Learning for Indonesian Aspect-Based Sentiment Analysis
PSO-Driven Feature Selection and Hybrid Ensemble for Network Anomaly Detection
Trust-Based Data Communication in Wireless Body Area Network for Healthcare Applications
Semantic Hierarchical Indexing for Online Video Lessons Using Natural Language Processing
Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords - Machine Learning as a Case Study
Big Data Processing and Analytics Platform Architecture for Process Industry Factories
A Review of Artificial Intelligence, Big Data, and Blockchain Technology Applications in Medicine and Global Health
Official Survey Data and Virtual Worlds - Designing an Integrative and Economical Open Source Production Pipeline for xR-Applications in Small and Medium-Sized Enterprises
Exploring the Application and Characteristics of Homomorphic Encryption Based on Pixel Scrambling Algorithm in Image Processing
Ensemble-Based Short Text Similarity: An Easy Approach for Multilingual Datasets Using Transformers and WordNet in Real-World Scenarios
Improving Machine Learning Predictive Capacity for Supply Chain Optimization through Domain Adversarial Neural Networks
The Use of Eye-Tracking to Explore the Relationship Between Consumers' Gaze Behaviour and Their Choice Process
A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems
Data-Driven Pseudo-Crack Cognition and Removal for Intelligent Pavement Inspection with Gradient Priority and Self-Attention
Uncovering Active Communities from Directed Graphs on Distributed Spark Frameworks, Case Study: Twitter Data
Multiparty Dynamics and Failure Modes for Machine Learning and Artificial Intelligence
Semantic Non-Negative Matrix Factorization for Term Extraction
Tensor Decomposition for Salient Object Detection in Images
A Comparative Study of X Data About the NHS Using Sentiment Analysis
Hierarchical Progressive Image Forgery Detection and Localization Method Based on UNet
A Non-Uniform Continuous Cellular Automata for Analyzing and Predicting the Spreading Patterns of COVID-19
Analyzing COVID-19 Medical Papers Using Artificial Intelligence: Insights for Researchers and Medical Professionals
A Multimodal Machine Learning Model in Pneumonia Patients Hospital Length of Stay Prediction
AI-Based Phishing Detection and Student Cybersecurity Awareness in the Digital Age
Recognizing Road Surface Traffic Signs Based on Yolo Models Considering Image Flips
Big Data and Actuarial Science
Acknowledgment to Reviewers of BDCC in 2021
Acknowledgment to the Reviewers of BDCC in 2022
Federated Learning with Multi-Method Adaptive Aggregation for Enhanced Defect Detection in Power Systems
Explainable Deep Learning Model for ChatGPT-Rephrased Fake Review Detection Using DistilBERT
Fog Computing and the Internet of Things: A Review
An Overview of Big Data Analytics for Cultural Heritage
An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade
Traffic Sign Recognition based on Synthesised Training Data
Prediction of Cloud Fractional Cover Using Machine Learning
The Next-Generation NIDS Platform: Cloud-Based Snort NIDS Using Containers and Big Data
Usage of the Term Big Data in Biomedical Publications: A Text Mining Approach
IndoGovBERT: A Domain-Specific Language Model for Processing Indonesian Government SDG Documents
Enabling Digital Twins to Support the UN SDGs
Early Diagnosis of Alzheimer's Disease Using Cerebral Catheter Angiogram Neuroimaging: A Novel Model Based on Deep Learning Approaches
Using Big and Open Data to Generate Content for an Educational Game to Increase Student Performance and Interest
Appendicitis Diagnosis: Ensemble Machine Learning and Explainable Artificial Intelligence-Based Comprehensive Approach
We Know You Are Living in Bali: Location Prediction of Twitter Users Using BERT Language Model
The Impact of Blockchain Technology and Dynamic Capabilities on Banks' Performance
Applying Big Data for Maritime Accident Risk Assessment: Insights, Predictive Insights and Challenges
A Data-Centric Approach to Understanding the 2020 U.S. Presidential Election
Medical IoT Record Security and Blockchain: Systematic Review of Milieu, Milestones, and Momentum
Optimizing Large Language Models for Arabic Healthcare Communication: A Focus on Patient-Centered NLP Applications
Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms
Knowledge-Based and Generative-AI-Driven Pedagogical Conversational Agents: A Comparative Study of Grice's Cooperative Principles and Trust
Annotation-Assisted Clustering of Player Profiles in Cultural Games: A Case for Tensor Analytics in Julia
Topological Data Analysis Helps to Improve Accuracy of Deep Learning Models for Fake News Detection Trained on Very Small Training Sets
Offline Knowledge Base and Attention-Driven Semantic Communication for Image-Based Applications in ITS Scenarios
Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM
An Efficient Algorithm for Sorting and Duplicate Elimination by Using Logarithmic Prime Numbers
Botnet Detection Employing a Dilated Convolutional Autoencoder Classifier with the Aid of Hybrid Shark and Bear Smell Optimization Algorithm-Based Feature Selection in FANETs
Kano Model Integration with Data Mining to Predict Customer Satisfaction
Identifying Influential Nodes in Complex Networks via Transformer with Multi-Scale Feature Fusion
Harnessing the Power of Multi-Source Media Platforms for Public Perception Analysis: Insights from the Ohio Train Derailment
Evaluating Deep Learning Architectures for Breast Tumor Classification and Ultrasound Image Detection Using Transfer Learning
Assessing the Guidelines on the Use of Generative Artificial Intelligence Tools in Universities: A Survey of the World's Top 50 Universities
Mandarin Recognition Based on Self-Attention Mechanism with Deep Convolutional Neural Network (DCNN)-Gated Recurrent Unit (GRU)
Proposal of Decentralized P2P Service Model for Transfer between Blockchain-Based Heterogeneous Cryptocurrencies and CBDCs
Distributed Bayesian Inference for Large-Scale IoT Systems
Transfer Learning Approach to Seed Taxonomy: A Wild Plant Case Study
Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem
Investigating Offensive Language Detection in a Low-Resource Setting with a Robustness Perspective
Federated Learning with Adversarial Optimisation for Secure and Efficient 5G Edge Computing Networks
An Efficient Probabilistic Algorithm to Detect Periodic Patterns in Spatio-Temporal Datasets
AI-Powered Eye Tracking for Bias Detection in Online Course Reviews: A Udemy Case Study
Sentiment Analysis of Emirati Dialect
ParlTech: Transformation Framework for the Digital Parliament
Apache Spark SVM for Predicting Obstructive Sleep Apnea
Deep Learning for Early Skin Cancer Detection: Combining Segmentation, Augmentation, and Transfer Learning
Big Data and Business Analytics: Trends, Platforms, Success Factors and Applications
Research on Multi-Stage Detection of APT Attacks: Feature Selection Based on LDR-RFECV and Hyperparameter Optimization via LWHO
Generating Synthetic Sperm Whale Voice Data Using StyleGAN2-ADA
Radiology Imaging Scans for Early Diagnosis of Kidney Tumors: A Review of Data Analytics-Based Machine Learning and Deep Learning Approaches
An Advanced Big Data Quality Framework Based on Weighted Metrics
Enhancing Self-Supervised Learning through Explainable Artificial Intelligence Mechanisms: A Computational Analysis
A Multi-Modal Entity Alignment Method with Inter-Modal Enhancement
DHCP Hierarchical Failover (DHCP-HF) Servers over a VPN Interconnected Campus
Improving Clothing Product Quality and Reducing Waste Based on Consumer Review Using RoBERTa and BERTopic Language Model
Exploring How Phonotactic Knowledge Can Be Represented in Cognitive Networks
Image Segmentation for Mitral Regurgitation with Convolutional Neural Network Based on UNet, Resnet, Vnet, FractalNet and SegNet: A Preliminary Study
A Gradient Boosted Decision Tree-Based Influencer Prediction in Social Network Analysis
Startups and Consumer Purchase Behavior: Application of Support Vector Machine Algorithm
A Survey of Incremental Deep Learning for Defect Detection in Manufacturing
The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory
Peacekeeping Conditions for an Artificial Intelligence Society
Perspectives on Big Data, Cloud-Based Data Analysis and Machine Learning Systems
EmoBERTa-X: Advanced Emotion Classifier with Multi-Head Attention and DES for Multilabel Emotion Classification
Recommendation Algorithm Using SVD and Weight Point Rank (SVD-WPR)
LizAI XT - AI-Accelerated Management Platform for Complex Healthcare Data at Scale, Beyond EMR/EHR and Dashboards
Molecular Structure-Based Prediction of Absorption Maxima of Dyes Using ANN Model
How Does Learning Analytics Contribute to Prevent Students' Dropout in Higher Education: A Systematic Literature Review
Predictive Models for Educational Purposes: A Systematic Review
The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence
Optimal Image Characterization for In-Bed Posture Classification by Using SVM Algorithm
Comparative Study of Mortality Rate Prediction Using Data-Driven Recurrent Neural Networks and the Lee-Carter Model
An Overview of AI-Guided Thyroid Ultrasound Image Segmentation and Classification for Nodule Assessment
Laor Initialization: A New Weight Initialization Method for the Backpropagation of Deep Learning
A Review of Social Media Data Utilization for the Prediction of Disease Outbreaks and Understanding Public Perception
Importance of Data Preprocessing for Accurate and Effective Prediction of Breast Cancer: Evaluation of Model Performance in Novel Data
Extraction of Significant Features by Fixed-Weight Layer of Processing Elements for the Development of an Efficient Spiking Neural Network Classifier
Association Between Mastication Pattern, Periodontal Condition, and Cognitive Condition - Investigation Using Large Database of Japanese Universal Healthcare System
Empowering Short Answer Grading: Integrating Transformer-Based Embeddings and BI-LSTM Network
Robust Anomaly Detection of Multivariate Time Series Data via Adversarial Graph Attention BiGRU
Analysis of the Numerical Solutions of the Elder Problem Using Big Data and Machine Learning
Design Proposal for a Virtual Shopping Assistant for People with Vision Problems Applying Artificial Intelligence Techniques
FedIFD: Identifying False Data Injection Attacks in Internet of Vehicles Based on Federated Learning
Assessing the Influence of Feedback Strategies on Errors in Crowdsourced Annotation of Tumor Images
Effect of Missing Data Types and Imputation Methods on Supervised Classifiers: An Evaluation Study
Defending Against AI Threats with a User-Centric Trustworthiness Assessment Framework
Towards the Adoption of Recommender Systems in Online Education: A Framework and Implementation
Modeling and Simulation of Public Opinion Evolution Based on the SIS-FJ Model with a Bidirectional Coupling Mechanism
Democratic Erosion of Data-Opolies: Decentralized Web3 Technological Paradigm Shift Amidst AI Disruption
A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews
Risks of Deep Reinforcement Learning Applied to Fall Prevention Assist by Autonomous Mobile Robots in the Hospital
Fusion of Moment Invariant Method and Deep Learning Algorithm for COVID-19 Classification
Topic Modelling: Going beyond Token Outputs
Technology Innovation and Social and Behavioral Commitment: A Case Study of Digital Transformation in the Moroccan Insurance Industry
Adaptive Augmented Reality Architecture for Optimising Assistance and Safety in Industry 4.0
Predictive Artificial Intelligence Model for Detecting Dental Age Using Panoramic Radiograph Images
Physics-Informed Neural Network (PINN) Evolution and Beyond: A Systematic Literature Review and Bibliometric Analysis
SmartMinutes - A Blockchain-Based Framework for Automated, Reliable, and Transparent Meeting Minutes Management
Helium Speech Recognition Method Based on Spectrogram with Deep Learning
Breaking Barriers: Unveiling Factors Influencing the Adoption of Artificial Intelligence by Healthcare Providers
Data-Driven Forecasting of CO2 Emissions in Thailand's Transportation Sector Using Nonlinear Autoregressive Neural Networks
Digital Technologies and the Role of Data in Cultural Heritage: The Past, the Present, and the Future
Tester-Guided Graph Learning with End-to-End Detection Certificates for Triangle-Based Anomalies
Virtual Reality-Based Digital Twins: A Case Study on Pharmaceutical Cannabis
Design of Inter-BAN Authentication Protocols for WBAN in a Cloud-Assisted Environment
A Survey on Big Data in Pharmacology, Toxicology and Pharmaceutics
Fault Diagnosis in Power Generators: A Comparative Analysis of Machine Learning Models
Big Data Contribution in Desktop and Mobile Devices Comparison, Regarding Airlines' Digital Brand Name Effect
Supporting Students' Academic Performance Using Explainable Machine Learning with Automated Prescriptive Analytics
Exploration of Generative Neural Networks for Police Facial Sketches
Enhancing Green Practice Detection in Social Media with Paraphrasing-Based Data Augmentation
Near-Real-Time IDS for the U.S. FAA's NextGen ADS-B
Cumulative and Rolling Horizon Prediction of Overall Equipment Effectiveness (OEE) with Machine Learning
Factors Influencing Citizens' Intention to Use Open Government Data - A Case Study of Pakistan
Online Microfluidic Droplets Characterization Using Microscope Data Intelligent Analysis
Explaining Exploration-Exploitation in Humans
Infusing Autopoietic and Cognitive Behaviors into Digital Automata to Improve Their Sentience, Resilience, and Intelligence
Innovative Business Process Reengineering Adoption: Framework of Big Data Sentiment, Improving Customers' Service Level Agreement
A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization
Arabic Sentiment Analysis of YouTube Comments: NLP-Based Machine Learning Approaches for Content Evaluation
ChatGPT's Impact Across Sectors: A Systematic Review of Key Themes and Challenges
Interpretable Predictive Modeling for Educational Equity: A Workload-Aware Decision Support System for Early Identification of At-Risk Students
Analyzing Political Polarization on Social Media by Deleting Bot Spamming
Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets
Integrating Statistical Methods and Machine Learning Techniques to Analyze and Classify COVID-19 Symptom Severity
EIF-SlideWindow: Enhancing Simultaneous Localization and Mapping Efficiency and Accuracy with a Fixed-Size Dynamic Information Matrix
A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption
On the Way to Automatic Exploitation of Vulnerabilities and Validation of Systems Security through Security Chaos Engineering
Estimating Rainfall Intensity Using an Image-Based Convolutional Neural Network Inversion Technique for Potential Crowdsourcing Applications in Urban Areas
Semantic Enrichment of Non-Graphical Data of a BIM Model of a Public Building from the Perspective of the Facility Manager
Revolutionary Dentistry through Blockchain Technology
DRCCT: Enhancing Diabetic Retinopathy Classification with a Compact Convolutional Transformer
Recognizing Similar Musical Instruments with YOLO Models
Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications
Field Robotics Education Through Educational Escape Rooms - A Design Study
Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes
Enhancing Speech Emotions Recognition Using Multivariate Functional Data Analysis
DDFNet: A Dual-Domain Fusion Network for Robust Synthetic Speech Detection
A Computing System for Complex Cases of Major Recurrent Depression Based on Latent Semantic Analysis: Relationship between Life Themes and Symptoms
Ontology-Based Personalized Job Recommendation Framework for Migrants and Refugees
Data Stream Clustering Techniques, Applications, and Models: Comparative Analysis and Discussion
Disclosing Edge Intelligence: A Systematic Meta-Survey
Finding the Time-Period-Based Most Frequent Path from Trajectory-Topology
Aspect-Based Sentiment Analysis of Patient Feedback Using Large Language Models
Wine Ontology Influence in a Recommendation System
A Framework for Rapidly Prototyping Data Mining Pipelines
Cognitive Computing Frameworks for Scalable Deception Detection in Textual Data
Algorithm Improvement for Mobile Event Detection with Intelligent Tunnel Robots