yusuke1997/dblp-id-title huggingface dataset:
An Application-Driven Survey on Event-Based Neuromorphic Computer Vision
A Rating Prediction Recommendation Model Combined with the Optimizing Allocation for Information Granularity of Attributes
Exploring the Behavior and Performance of Large Language Models: Can LLMs Infer Answers to Questions Involving Restricted Information?
Authorship Identification of Binary and Disassembled Codes Using NLP Methods
Pearson-Fisher Chi-Square Statistic Revisited
Examining the Roles, Sentiments, and Discourse of European Interest Groups in the Ukrainian War through X (Twitter)
A Modified Robust FCM Model with Spatial Constraints for Brain MR Image Segmentation
Neural Network Models for Prostate Zones Segmentation in Magnetic Resonance Imaging
A Multi-Objective Improved Cockroach Swarm Algorithm Approach for Apartment Energy Management Systems
Adaptive Multi-Objective Optimization for UAV-Assisted Wireless Powered IoT Networks
Epistemological Levelism and Dynamical Complex Systems: The Case of Crowd Behaviour
Dynamic Algorithm for Mining Relevant Association Rules via Meta-Patterns and Refinement-Based Measures
Semantic Clustering of Functional Requirements Using Agglomerative Hierarchical Clustering
Robotic Choreography Inspired by the Method of Human Dance Creation
Correlation Coefficient between Dynamic Single Valued Neutrosophic Multisets and Its Multiple Attribute Decision-Making Method
Kadaster Knowledge Graph: Beyond the Fifth Star of Open Data
An Optimization-Based Aggregation Approach with Triangular Intuitionistic Fuzzy Numbers in High-Dimensional Multi-Attribute Decision-Making
Improving Search Query Accuracy for Specialized Websites Through Intelligent Text Correction and Reconstruction Models
A Ranking-Based Hashing Algorithm Based on the Distributed Spark Platform
How Facebook Mediated COVID-19 Risk Communication: Evidence from Chinese External Media During the Winter Olympics
Visually Lossless JPEG 2000 for Remote Image Browsing
Can Project Team Members' Willingness to Disclose Past Performance During Procurement Improve Organizational Business Process Success?
Eligibility of BPMN Models for Business Process Redesign
Automatically Specifying a Parallel Composition of Matchers in Ontology Matching Process by Using Genetic Algorithm
Cross-Domain Text Sentiment Analysis Based on CNN_FT Method
Comparative Study of Dimensionality Reduction Techniques for Spectral-Temporal Data
Computer Vision for Fashion: A Systematic Review of Design Generation, Simulation, and Personalized Recommendations
Reliability, Validity, Comparability and Practical Utility of Cybercrime-Related Data, Metrics, and Information
Leveraging Distrust Relations to Improve Bayesian Personalized Ranking
TechTeach - An Innovative Method to Increase the Students Engagement at Classrooms
Range-Free Localization Approaches Based on Intelligent Swarm Optimization for Internet of Things
On Semantic Information in Nature
Correction: Rosero-Montalvo et al. A New Data-Preprocessing-Related Taxonomy of Sensors for IoT Applications. Information 2022, 13, 241
A Novel STDM Watermarking Using Visual Saliency-Based JND Model
An Intelligent Fuzzy-Based Routing Protocol for Vehicular Opportunistic Networks
Fast Tracking Algorithm Based on Spatial Regularization Correlation Filter
Towards MR-Only Radiotherapy in Head and Neck: Generation of Synthetic CT from Zero-TE MRI Using Deep Learning
Two New Datasets for Italian-Language Abstractive Text Summarization
A Real-Time Infodemiology Study on Public Interest in Mpox (Monkeypox) following the World Health Organization Global Public Health Emergency Declaration
A Multi-Domain Enhanced Network for Underwater Image Enhancement
Culture and Society in the Digital Age
Artificial Neural Network Learning, Attention, and Memory
Tree-Like Distributed Computation Environment with Shapp Library
Literature Review: Clinical Data Interoperability Models
Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education
Machine Vibration Monitoring for Diagnostics through Hypothesis Testing
New Generalized Cyclotomic Quaternary Sequences with Large Linear Complexity and a Product of Two Primes Period
Network Representation Learning Enhanced by Partial Community Information That Is Found Using Game Theory
Forecasting Hoabinh Reservoir's Incoming Flow: An Application of Neural Networks with the Cuckoo Search Algorithm
A Novel Multi-Attribute Decision Making Method Based on The Double Hierarchy Hesitant Fuzzy Linguistic Generalized Power Aggregation Operator
Explainable Recommender Systems Through Reinforcement Learning and Knowledge Distillation on Knowledge Graphs
Factors Affecting the Formation of False Health Information and the Role of Social Media Literacy in Reducing Its Effects
Online Task Scheduling of Big Data Applications in the Cloud Environment
Arabic Mispronunciation Recognition System Using LSTM Network
Utilizing Multi-Class Classification Methods for Automated Sleep Disorder Prediction
Composite Numbers That Give Valid RSA Key Pairs for Any Coprime p
Personality Traits, Gamification and Features to Develop an App to Reduce Physical Inactivity
A Deep Learning Approach for Predictive Healthcare Process Monitoring
Elegante+: A Machine Learning-Based Optimization Framework for Sparse Matrix-Vector Computations on the CPU Architecture
Crowdsourcing the Paldaruo Speech Corpus of Welsh for Speech Technology
Ghost on the Windshield: Employing a Virtual Human Character to Communicate Pedestrian Acknowledgement and Vehicle Intention
Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning
Information Theory and Computational Thermodynamics: Lessons for Biology from Physics
Neighborhood Attribute Reduction: A Multicriterion Strategy Based on Sample Selection
A Novel Grey Prediction Model Combining Markov Chain with Functional-Link Net and Its Application to Foreign Tourist Forecasting
Giving Teachers a Voice: A Study of Actual Game Use in the Classroom
Offensive Text Span Detection in Romanian Comments Using Large Language Models
HarmonyTok: Comparing Methods for Harmony Tokenization for Machine Learning
Design and Evaluation of an Augmented Reality Game for Cybersecurity Awareness (CybAR)
Information Extraction Under Privacy Constraints
Auction-Based Learning for Question Answering over Knowledge Graphs
A Semi-automatic Semantic Consistency-Checking Method for Learning Ontology from Relational Database
Test and Validation of a Multi-Block Solution for Improved Tracking in Outdoor Scenarios: A Case Study in the Pinocchio Park
Performance Variability in Public Clouds: An Empirical Assessment
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System
Gamifying Motor Rehabilitation Therapies: Challenges and Opportunities of Immersive Technologies
Privacy-Protection Method for Blockchain Transactions Based on Lightweight Homomorphic Encryption
What Hinders Adoption of Artificial Intelligence for Cybersecurity in the Banking Sector
Exploring the Effects of Normative Beliefs toward Citizen Engagement on eParticipation Technologies
Eye-Tracking System with Low-End Hardware: Development and Evaluation
A Review of Non-Fully Supervised Deep Learning for Medical Image Segmentation
Adopting Augmented Reality to Engage Higher Education Students in a Museum University Collection: the Experience at Roma Tre University
Maieutic, Natural, and Artificial Forms in Automatic Control Case Study
Frequent Releases in Open Source Software: A Systematic Review
Factors Affecting Decision-Making Processes in Virtual Teams in the UAE
A Comparative Study on Weighted Central Moment and Its Application in 2D Shape Retrieval
A Review on Federated Learning and Machine Learning Approaches: Categorization, Application Areas, and Blockchain Technology
Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection
A Sentence Classification Framework to Identify Geometric Errors in Radiation Therapy from Relevant Literature
Correlations and Fractality in Sentence-Level Sentiment Analysis Based on VADER for Literary Texts
RepackDroid: An Efficient Detection Model for Repackaged Android Applications
Beyond Supervised: The Rise of Self-Supervised Learning in Autonomous Systems
Virtual Offenses: Role of Demographic Factors and Personality Traits
Automated Detection of Liver Histopathological Findings Based on Biopsy Image Processing
A Diverse Data Augmentation Strategy for Low-Resource Neural Machine Translation
Information Usage Behavior and Importance: Korean Scientist and Engineer Users of a Personalized Recommendation Service
Design and Implementation of an Immersive Web-Based Digital Twin Steam Turbine System for Industrial Training
Deep Learning-Based Monocular Estimation of Distance and Height for Edge Devices
The Integration of Artificial Intelligence in Inclusive Education: A Scoping Review
Constructing Explainable Classifiers from the Start - Enabling Human-in-the Loop Machine Learning
Get out of Church! The Case of #EmptyThePews: Twitter Hashtag between Resistance and Community
Understanding Determinants of Management Simulation Games Adoption in Higher Educational Institutions Using an Integrated Technology Acceptance Model/Technology-Organisation-Environment Model: Educator Perspective
Towards Quantifying a Wider Reality: Shannon Exonerata
DNS Request Log Analysis of Universities in Shanghai: A CDN Service Provider's Perspective
Multi-Criteria Decision-Making in Public Procurement: An Empirical Study of Contractor Selection for Landslide Rehabilitation
Idempotent Factorizations of Square-Free Integers
Container Terminal Logistics Generalized Computing Architecture and Green Initiative Computational Pattern Performance Evaluation
G-TS-HRNN: Gaussian Takagi-Sugeno Hopfield Recurrent Neural Network
Unraveling Cyberbullying Dynamis: A Computational Framework Empowered by Artificial Intelligence
Throughput of Wireless-Powered Based Multiuser System with Large-Scale Distributed Antennas
Public Engagement Through Programming in Archives: A Systematic Review of Activities and Resultant Outcomes
Language Identification-Based Evaluation of Single Channel Speech Separation of Overlapped Speeches
Multi-Level Attention with 2D Table-Filling for Joint Entity-Relation Extraction
Digital Innovation Through Behavioural Analytics: Evidence from Acquisition Channels and Engagement in Global Cruise Firms
An Internet of Things Approach to Contact Tracing - The BubbleBox System
Advancing Patient Care with an Intelligent and Personalized Medication Engagement System
A New Prospect Projection Multi-Criteria Decision-Making Method for Interval-Valued Intuitionistic Fuzzy Numbers
A Study on the Effect of Customer Habits on Revisit Intention Focusing on Franchise Coffee Shops
Explainable Deep Learning Approach for Multi-Class Brain Magnetic Resonance Imaging Tumor Classification and Localization Using Gradient-Weighted Class Activation Mapping
Acknowledgment to Reviewers of Information in 2021
An Effective Student Grouping and Course Recommendation Strategy Based on Big Data in Education
Assessment of Published Papers on the Use of Machine Learning in Diagnosis and Treatment of Mastitis
Toward Effective Medical Image Analysis Using Hybrid Approaches - Review, Challenges and Applications
A Lightweight Neural Network for Cell Segmentation Based on Attention Enhancement
Sensitivity Analysis of Traffic Sign Recognition to Image Alteration and Training Data Size
Acknowledgment to the Reviewers of Information in 2022
Interest as the Engine: Leveraging Diverse Hybrid Propagation for Influence Maximization in Interest-Based Social Networks
An Adaptive Multi-Staged Forward Collision Warning System Using a Light Gradient Boosting Machine
Systematic Review of Graph Neural Network for Malicious Attack Detection
Correction: Liu et al. Research on Building DSM Fusion Method Based on Adaptive Spline and Target Characteristic Guidance. Information 2021, 12, 467
Physical Layer Security and Optimal Multi-Time-Slot Power Allocation of SWIPT System Powered by Hybrid Energy
A Closer-to-Reality Model for Comparing Relevant Dimensions of Recommender Systems, with Application to Novelty
Learning from High-Dimensional and Class-Imbalanced Datasets Using Random Forests
A Container-Native IAM Framework for Secure Green Mobility: A Case Study with Keycloak and Kubernetes
A Novel Authentication Method That Combines Honeytokens and Google Authenticator
Artificial Intelligence for Medication Management in Discordant Chronic Comorbidities: An Analysis from Healthcare Provider and Patient Perspectives
Machine Learning Applied to the Analysis of Nonlinear Beam Dynamics Simulations for the CERN Large Hadron Collider and Its Luminosity Upgrade
Transmission of Digital Data in the 5G Era: Compression and Privacy
A Deep Learning Model for Ship Trajectory Prediction Using Automatic Identification System (AIS) Data
A Fully Decentralized Web Application Framework with Dynamic Multi-Point Publishing and Shortest Access Path
Addictive Games: Case Study on Multi-Armed Bandit Game
Anomalies Classification in Fan Systems Using Dual-Branch Neural Networks with Continuous Wavelet Transform Layers: An Experimental Study
Digital Objects, Digital Subjects and Digital Societies: Deontology in the Age of Digitalization
A Novel Algorithm for Enhancing Terrain-Aided Navigation in Autonomous Underwater Vehicles
Multi-Objective Optimization of a Task-Scheduling Algorithm for a Secure Cloud
Low Power EEG Data Encoding for Brain Neurostimulation Implants
Formal Verification of Business Constraints in Workflow-Based Applications
Genre Classification of Books in Russian with Stylometric Features: A Case Study
Gender Prediction of Generated Tweets Using Generative AI
Identifying Heart Attack Risk in Vulnerable Population: A Machine Learning Approach
Bullying Detection Solution for GIFs Using a Deep Learning Approach
Unveiling Key Themes and Establishing a Hierarchical Taxonomy of Disaster-Related Tweets: A Text Mining Approach for Enhanced Emergency Management Planning
Experimental Analysis of Stemming on Jurisprudential Documents Retrieval
Towards Securing Smart Homes: A Systematic Literature Review of Malware Detection Techniques and Recommended Prevention Approach
Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method
Augmenting LLMs to Securely Retrieve Information for Construction and Facility Management
PEARL: A Rubric-Driven Multi-Metric Framework for LLM Evaluation
MR Brain Image Segmentation: A Framework to Compare Different Clustering Techniques
Digital Governance, Democracy and Public Funding Efficiency in the EU-27: Comparative Insights with Emphasis on Greece
CHTopo: A Multi-Source Large-Scale Chinese Toponym Annotation Corpus
Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting
The Role of Malware in Reported Cyber Espionage: A Review of the Impact and Mechanism
A Methodology for Integrating Hierarchical VMAP-Data Structures into an Ontology Using Semantically Represented Analyses
Medical Support Vehicle Location and Deployment at Mass Casualty Incidents
Empower Psychotherapy with mHealth Apps: The Design of "Safer", an Emotion Regulation Application
Business Logic Vulnerabilities in the Digital Era: A Detection Framework Using Artificial Intelligence
Investigating Contextual Influence in Document-Level Translation
LoRaWAN Based Indoor Localization Using Random Neural Networks
CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering
On the Malleability of Consumer Attitudes toward Disruptive Technologies: A Pilot Study of Cryptocurrencies
Automated Assessment of Comprehension Strategies from Self-Explanations Using LLMs
Vehicle Exhaust Estimation Using YOLOv7 and Support Vector Regression with Image Features
An Effective Feature Segmentation Algorithm for a Hyper-Spectral Facial Image
Fiscal Management and Artificial Intelligence as Strategies to Combat Corruption in Colombia
A Collaborative Pilot Platform for Data Annotation and Enrichment in Viticulture
A Compression-Based Toolkit for Modelling and Processing Natural Language Text
Efficient Edge-AI Application Deployment for FPGAs
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
Mountain Tourism in the Perception of Romanian Tourists: A Case Study of the Rodna Mountains National Park
Applications of Generative Artificial Intelligence in Electronic Medical Records: A Scoping Review
Data-Driven Multi-Agent Vehicle Routing in a Congested City
VCAC: A Blockchain-Based Virtual Care Access Control Model for Transforming Legacy Healthcare Information Systems and EMRs into Secure, Interoperable Patient-Centered Virtual Hospital Systems
Assessing the Readability of Russian Textbooks Using Large Language Models
Smart Supervision of Public Expenditure: A Review on Data Capture, Storage, Processing, and Interoperability with a Case Study from Colombia
Improving the Accuracy in Sentiment Classification in the Light of Modelling the Latent Semantic Relations
Intelligent Teaching Recommendation Model for Practical Discussion Course of Higher Education Based on Naive Bayes Machine Learning and Improved k-NN Data Mining Algorithm
Autonomous Weapons Systems and the Contextual Nature of Hors de Combat Status
ADFilter - A Web Tool for New Physics Searches with Autoencoder-Based Anomaly Detection Using Deep Unsupervised Neural Networks
Using Adaptive Zero-Knowledge Authentication Protocol in VANET Automotive Network
CA-STD: Scene Text Detection in Arbitrary Shape Based on Conditional Attention
Best Practices and Methodologies to Promote the Digitization of Public Services Citizen-Driven: A Systematic Literature Review
Leveraging LLMs for User Rating Prediction from Textual Reviews: A Hospitality Data Annotation Case Study
Aerial Imagery Redefined: Next-Generation Approach to Object Classification
A Framework for User-Focused Electronic Health Record System Leveraging Hyperledger Fabric
A Critical Analysis of Deep Semi-Supervised Learning Approaches for Enhanced Medical Image Classification
Predictions from Generative Artificial Intelligence Models: Towards a New Benchmark in Forecasting Practice
Reconciling Livelihood and Tourism: A Data-Driven Diagnosis of Spatial Vitality in Small-Town China's Historic Districts
Cognitive Load Implications for Augmented Reality Supported Chemistry Learning
Fuzzy Color Clustering for Melanoma Diagnosis in Dermoscopy Images
Implementation of Sensor Input Setup Assistance Service Using Generative AI for SEMAR IoT Application Server Platform
Hadoop Cluster Deployment: A Methodological Approach
Interactive Segmentation for Medical Images Using Spatial Modeling Mamba
Optimizer-Aware Fine-Tuning of Whisper Small with Low-Rank Adaption: An Empirical Study of Adam and AdamW
Modeling the Biocatalytic Method of Lipid Extraction Using Artificial Neural Networks
Measuring the Level of Responsible Consumption Influenced by the Digital Environment: A Case Study of University of Barcelona and Bielefeld University Students
Testing the "(Neo-)Darwinian" Principles against Reticulate Evolution: How Variation, Adaptation, Heredity and Fitness, Constraints and Affordances, Speciation, and Extinction Surpass Organisms and Species
Collaboration System for Multidisciplinary Research with Essential Data Analysis Toolkit Built-In
Measuring Innovation Potential in Ecuadorian ICT Companies: Development and Application of the CRI-IRT Model
Axiomatisation and Simulation
An Attention-Refined Light-Weight High-Resolution Network for Macaque Monkey Pose Estimation
Knowledge Distillation: A Method for Making Neural Machine Translation More Efficient
Knowledge and Innovation Management Model in the Organizational Environment
Crowd Counting Guided by Attention Network
Foundation Models in Software Engineering: A Taxonomy, Systematic Review, and In-Depth Analysis of Testing Support
Deglobalization Trends and Communication Variables: A Multifaceted Analysis from 2009 to 2023
Constrained Static/Dynamic Economic Emission Load Dispatch Using Elephant Herd Optimization
Vehicle Target Recognition in SAR Images with Complex Scenes Based on Mixed Attention Mechanism
Reaching Citizens' Engagement by Services: Swiss Use Case
LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge
Evading Cyber-Attacks on Hadoop Ecosystem: A Novel Machine Learning-Based Security-Centric Approach towards Big Data Cloud
Adaptive Enterprise Architecture for the Digital Healthcare Industry: A Digital Platform for Drug Development
Virtual Interactive Environment for Low-Cost Treatment of Mechanical Strabismus and Amblyopia
A New Intuitionistic Fuzzy Entropy and Application in Multi-Attribute Decision Making
QoS-Aware Resource Management in 5G and 6G Cloud-Based Architectures with Priorities
Ordered Electric Vehicles Charging Scheduling Algorithm Based on Bidding in Residential Area
An Independent Learning System for Flutter Cross-Platform Mobile Programming with Code Modification Problems
Adaptive Machine Learning for Robust Diagnostics and Control of Time-Varying Particle Accelerator Components and Beams
A Novel Radio Network Information Service (RNIS) to MEC Framework in B5G Networks
The Role of Trustworthiness Facets for Developing Social Media Applications: A Structured Literature Review
Dynamic, Interactive and Visual Analysis of Population Distribution and Mobility Dynamics in an Urban Environment Using the Mobility Explorer Framework
Empathy by Design: Reframing the Empathy Gap Between AI and Humans in Mental Health Chatbots
A Method of Human Activity Recognition in Transitional Period
The Image Classification Method with CNN-XGBoost Model Based on Adaptive Particle Swarm Optimization
Exploring Healthcare Professionals' Perspectives on Electronic Medical Records: A Qualitative Study
Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms
Profiling Attack against RSA Key Generation Based on a Euclidean Algorithm
Indoor Trajectory Prediction for Shopping Mall via Sequential Similarity
A Comprehensive Survey of Facet Ranking Approaches Used in Faceted Search Systems
From Text Representation to Financial Market Prediction: A Literature Review
A Novel Method for Determining the Attribute Weights in the Multiple Attribute Decision-Making with Neutrosophic Information through Maximizing the Generalized Single-Valued Neutrosophic Deviation
Erlang-U: Blocking Probability of UAV-Assisted Cellular Systems
Adversarial Hard Attention Adaptation
Choosing and Evaluating P2P Lending with Value Engineering as a Decision Support System: An Indonesian Case Study
LRA-YOLO: A Lightweight Power Equipment Detection Algorithm Based on Large Receptive Field and Attention Guidance
Consumer Trust as the Antecedent of Online Consumer Purchase Decision
Enhancing Walking Accessibility in Urban Transportation: A Comprehensive Analysis of Influencing Factors and Mechanisms
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators
Explainable Artificial Intelligence and Deep Learning Methods for the Detection of Sickle Cell by Capturing the Digital Images of Blood Smears
Diagnosing Structural Change in Digital Interventions: A Configurational Evaluation Framework
Visual Active Learning for Labeling: A Case for Soundscape Ecology Data
Impact of Handedness on Driver's Situation Awareness When Driving under Unfamiliar Traffic Regulations
TempoGRAPHer: Aggregation-Based Temporal Graph Exploration
Profiling and Predicting the Cumulative Helpfulness (Quality) of Crowd-Sourced Reviews
HE-DMDeception: Adversarial Attack Network for 3D Object Detection Based on Human Eye and Deep Learning Model Deception
Entropy and Stability in Blockchain Consensus Dynamics
Beyond Open Data Hackathons: Exploring Digital Innovation Success
Applying Machine Learning in Marketing: An Analysis Using the NMF and k-Means Algorithms
A Hybrid MultiLayer Perceptron Under-Sampling with Bagging Dealing with a Real-Life Imbalanced Rice Dataset
Automated Mapping of Common Vulnerabilities and Exposures to MITRE ATT&CK Tactics