yusuke1997/dblp-id-title huggingface dataset:
Some Consistency Rules for Graph Matching
Smart IoT Solutions for Precise COVID-19 Lung and Heart Disease Identification via Bayesian Neural Networks and Hybrid Optimization
Internet of Things Driven Rule Based Management Model for Heterogeneous Environment
Epimenides, Gödel, Turing: An Eternal Gölden Twist
A Generative AI-Based Assistant to Evaluate Short and Long Answer Questions
Identification of Chemicalsin Fish Using Machine Learning and IoT
Performance Analysis of FinFET-Based LVDS I/O Receiver Architecture
Isolated Command Recognition Using MFCC and Clustering Algorithm
Decision Tree Regression Analysis of Proposed Metric Suite for Software Fault Prediction
Securing IoT Communications: A Novel Lightweight Stream Cipher Using DNA Cryptography and Grain-80 Cipher
A Novel Framework for Human Chronic Disease Prediction Using CNN and Adaptive Dragon Fly Optimization (ADFO) Algorithm
Modeling Fault Dynamics of Interdependent Assets in Complex Urban Environments Using Open-Data: Extended Version
Correlation Analysis for Determining Effective Data in Machine Learning: Detection of Heart Failure
Cybersecurity, Data Privacy and Blockchain: A Review
A Multi-stage Classification Framework for Disaster-Specific Tweets
Secure Block Chain-Based Healthcare Sensitive Data Prediction Using Pragmatic Quasi-Identifiers in a Decentralized Cloud Environment
Minimal Block Knight's Tour and Edge with LSB Pixel Replacement Based Encrypted Image Steganography
A Gentle Introduction to Controlled Query Evaluation in DL-Lite Ontologies
Colon Cancer Detection Using Exhaustive Correlation Feature Selection Based Genetic Decision Support Regression
Challenges and Applications of Intrinsic Image Decomposition: A Short Review
Interpretable and Accurate Identification of Job Seekers at Risk of Long-Term Unemployment: Explainable ML-Based Profiling
A Knowledge Graph Perspective on Knowledge Engineering
Engineering Multi-agent Systems with Statecharts
Deep Transfer Learning-Based Framework for COVID-19 Diagnosis Using Chest CT Scans and Clinical Information
A Text Summarization Hybrid Approach Using CNN and the Firefly Algorithm
Theoretical Understanding of Deep Learning in UAV Biomedical Engineering Technologies Analysis
Teachers' and Students' Perception of Gamification in Online Tertiary Education Classrooms During the Pandemic
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study
Cascade Convolutional Neural Network - Autoencoder Method for Parkinson's Disease Detection Using Multilingual Voice Signal
Translation of Real-World Photographs into Artistic Images via Conditional CycleGAN and StarGAN
A Systematic Survey of Technology Driven Diagnosis for Autism Spectrum Disorder
A Fuzzy Approach to Assess Blockchain for Sustainable Transformation of Healthcare
Lazy Forward Differential Evolution for Influence Maximization in Large Data Network
Optimal Strategies to Contain Arboviruses Spread
Enhancing Accessibility in Online Shopping: A Dataset and Summarization Method for Visually Impaired Individuals
An Illustration of Extending Hedgehog to Multi-Node GPU Architectures Using GEMM
A New Mobile Data Collection (ODDCMS) Algorithm Using Mobile Sink in Rechargeable Wireless Sensor Network
Designing a Meta Learning Classifier for Sensor-Enabled Healthcare Applications
Healthcare Data Sensitivity Assessment Through Biomedical NLP-Driven Classification and Statistical Feature Analysis
Adaptive Hellinger Distance CS and GELU-RNN: Advanced Solutions for Feature Optimization and Cloud Threat Detection
Balancing of Web Applications Workload Using Hybrid Computing (CPU-GPU) Architecture
Improved Diabetes Detection Through Integration of External Risk Factors and Machine Learning Techniques
An Efficient Framework for Predicting Cancer Type Based on Microarray Gene Expressions Using CNN-BiLSTM Technique
An Online Activity Monitoring for Geriatric Care Using Ambient Sensors
A Deep Neural Network Based Holistic Approach for Optical Character Recognition of Handwritten Documents
A Theoretical and Experimental Comparison of Large-Scale Join Algorithms in Spark
Metaphor Identification and Interpretation in Corpora with ChatGPT
A Fog-Based Multi-Purpose Internet of Things Analytics Platform
An MDD Framework Towards the Automated Development of Ubiquitous Context-Aware Recommender Systems for Commerce
A Hybrid Co-occurrence and Ranking-based Approach for Detection of Implicit Aspects in Aspect-Based Sentiment Analysis
An Optimal Weighted Ensemble of 3D CNNs for Early Diagnosis of Alzheimer's Disease
A Level Set Approach for Segmentation of Intensity Inhomogeneous Image Based on Region Decomposition
Meeting the Needs of Metropolitan Learners: Implementing Agile-Blended Learning in Higher Education
Enhancing Drone Security Through Multi-Sensor Anomaly Detection and Machine Learning
Imbalanced Learning with Parametric Linear Programming Support Vector Machine for Weather Data Application
DARCVAA: A Deep Neural Networks Based Framework for Detecting Adverse Reactions of COVID-19 Vaccines and Association Analysis
An Explorative Study into the Importance of Defining and Classifying Cyber Terrorism in the United Kingdom
An IOT-Based Automotive and Intelligent Toll Gate Using RFID
A Non-Sequential Steganography Method Using Perfect Square Quotient Differencing (NSPSQD)
Assessment of Sympathetic and Parasympathetic Activities of Nervous System from Heart Rate Variability Using Machine Learning Techniques
An Adaptive Performance Aware Threshold Policy Based on Q n Estimator in Cloud Data Centers
A Comprehensive Investigation into Semantic Segmentation and its Applications
Bias in X (Twitter) and Telegram Based Intelligence Analysis: Exploring Challenges and Potential Mitigating Roles of AI
Training a Multi-task Model for Classification and Grasp Detection of Surgical Tools Using Transfer Learning
Community Detection in Complex Networks Using Link Strength-Based Hybrid Genetic Algorithm
Advanced Epileptic Seizure Detection Using Deep Learning and Bayesian Optimization
Digital Watermark Extraction Using RS-KNN and RS-LDA with LWT and Statistical Features
Smart Agriculture: A Comprehensive Overview
Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition
Human Action Prediction with 3D-CNN
2L-3W: 2-Level 3-Way Hardware-Software Co-verification for the Mapping of Convolutional Neural Network (CNN) onto FPGA Boards
Named Entity Recognition in Bengali and Hindi Using MuRIL and Conditional Random Fields
Bald Eagle Search Algorithm with Hierarchical Deep Learning for Internet of Things Assisted Sleep Quality Recognition
Advanced Persistent Threat Identification with Boosting and Explainable AI
Towards a Better Data Collection of Crisis Situations Based on Ontologies
An End-to-End Continuous Speech Recognition System in Bengali for General and Elderly Domain
Toward the Use of Neural Architecture Search: A Baseline Approach for Solving the Authorship Verification Problem
Dissociate Dimensions to Improve Sound Metaphors Guiding the Hand Towards 3D Non-visible Targets
Legislative Text Analysis from Judicial Case Reports Using Machine Learning
A Review of Advances in Large Language and Vision Models for Robotic Manipulation: Techniques, Integrations, and Challenges
Adaptive Duty-Cycle-Enabled Energy-Efficient Bit-Map-Assisted MAC Protocol
Optimizations of a Multi-Agent System for a Real-World Warehouse Problem
An Energy-Efficient and QoS-Preserving Hybrid Cross-Layer Protocol Design for Deep Learning-Based Air Quality Monitoring and Prediction
Weighted Burrows-Wheeler Compression
Content-Based CT Image Retrieval for Emphysema Using Texture and Shape Features
Optimal Contact Points for an Octopus Arm
Text Augmentation for Enhancing the Text Classification for Low Resource Language
From Practice To Performance: Predicting Soccer Match Outcomes from Training Data
Mental Health Monitoring Using Deep Learning Technique for Early-Stage Depression Detection
Signal-to-Interference Ratio Coverage-Aware Multi-Access Edge Computing in Intelligent Reflecting Surfaces-Assisted Multi-Tier 6G Networks
Multifunctional Assistive Smart Glasses for Visually Impaired
New Trends in Applied Informatics
Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients' Recovery
Analysis of COVID-19 Death Cases Using Machine Learning
Computer-Aided Diagnosis-Based Grading Classification of Diabetic Retinopathy Using Deep Graph Correlation Network with IRF
An Iterative Process for the Evaluation of a Mobile Application Prototype
Mining Urban Traffic Condition from Crowd-Sourced Data
Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and Posts
Deep Reinforcement Learning in Continuous Action Spaces for Pair Trading: A Comparative Study of A2 C and PPO
Pupils' Digital Literacy Reflected in Teachers' Attitudes Towards ICT: Case Study of the Czech Republic
Survey on Multi-Source Medical Imaging Fusion for Classification and Retrieval: Current Status and Available Datasets
Private Verification in Multi-stakeholder Environment and its Application to Stable Matching
Efficient Encoding of the Weighted MAX k-CUT on a Quantum Computer Using QAOA
Insight of Unmanned Aerial Vehicles Accessing Ensemble Techniques
A Dilated Convolutional Based Model for Time Series Forecasting
M-Commerce Offline Payment
A Privacy-Preserving Federated Learning Model for Money Laundering Detection
Scenario-Based Approach to Solve Optimal Reactive Power Dispatch Problem with Integration of Solar Energy Using Modified Ant Line Optimizer
Contactless Technologies for Smart Cities: Big Data, IoT, and Cloud Infrastructures
Electronic Medical Records Management and Administration: Current Trends, Issues, Solutions, and Future Directions
Deep Neural Network Based Real-Time Intrusion Detection System
Granular Box Regression Using Simulated Annealing and Genetic Algorithm: A Comparative Study
Incremental and Formal Verification of SysML Models
Bibo the Moving Cup for People Affected by Dementia: Design, Ethical Considerations, and First Observations in Use
Blockchain and Cryptocurrency Technology in the Saudi Arabia
Glaucoma Classification Using Enhanced Deep Transfer Learning Models with Hybrid ROI Cropped Optic Disc Technique
Optimized Image Compression Using Multiple Compressed Sensing Techniques
Classifying Intangible Cultural Heritage Images in the Mekong Delta
The Role of Object Detection, Tracking and Augmentation in Guiding the Remote Assistance Systems
An Efficient Human Computer Interaction through Hand Gesture Using Deep Convolutional Neural Network
Describing the Contextualization of Cultural Products Based on Semiotics: From A Theoretical Model to an Ontology
Quantitative and Qualitative Analysis of 18 Deep Convolutional Neural Network (CNN) Models with Transfer Learning to Diagnose COVID-19 on Chest X-Ray (CXR) Images
Design and Analysis of Low Power Approximate Multiplier Using Novel Compressor
Author Profiling Tracks at FIRE
Exploration and Evaluation of Congestion Control Algorithms for Data Center Networks
The Difficult Path to Become Data-Driven
Design and Architectural Implementation of Consortium Blockchain Based Framework for Open Banking Customer Consent and Data Handling
AtheroRisk: An Integrated Computer Software System for Stroke Risk Stratification Utilizing Carotid Plaque Analysis in Ultrasound Videos
Enhancing Deep Learning Model Privacy Against Membership Inference Attacks Using Privacy-Preserving Oversampling
Overcoming Long Inference Time of Nearest Neighbors Analysis in Regression and Uncertainty Prediction
Self-explaining Hierarchical Model for Fatigue Monitoring and Prediction in Basketball Self-explaining Hierarchical Model for Fatigue Monitoring and Prediction in Basketball
Grokking in Neural Networks: A Review
EfficientPhoCaption: An Enhanced PhoBERT-Based Image Captioning Framework for Breast Cancer Diagnosis
Exploring Soil Diversity and Land Use Patterns in Arid Tropical Zones: Employing K-Means Clustering in Kolar District, Karnataka
hChain 2.0: Leveraging Blockchain and Distributed File System for EHR Management in Smart Healthcare
Eigen-CAM: Visual Explanations for Deep Convolutional Neural Networks
GrassCaré: Visualizing the Grassmannian on the Poincaré Disk
Leopard Seal K-Anonymity Privacy-Preserved Hyper-Ledger Blockchain Integrated with Deep Learning for Student Mark Management
Assessment of Water Quality Parameters in Real-Time Environment
NBDNet: A Deep Learning Algorithm for Despeckling of SAR Data
Efficient Road Segmentation Techniques with Attention-Enhanced Conditional GANs
A Novel Zero-Resource Spoken Term Detection Using Affinity Kernel Propagation with Acoustic Feature Map
A Follow-the-Leader Strategy Using Hierarchical Deep Neural Networks with Grouped Convolutions
Analysis and Forecasting of Area Under Cultivation of Rice in India: Univariate Time Series Approach
Improving Breast Cancer Diagnosis Using Grammatical Evolution-Based Feature Selection
An Approach for Detection of Botnet Based on Machine Learning Classifier
Exploring the Potentials of Performance-Centred Instructional Design in Online and Blended Learning: Students' Perspectives
Discrete-Event Simulation-Based Q-Learning Algorithm Applied to Financial Leverage Effect
Benchmarking the Bagging and Boosting (B & B) Algorithms for Modeling Optimized Autonomous Intrusion Detection Systems (AIDS)
Agricultural Prediction Using Hybrid Butterfly Optimization with Convolutional Neural Network
Joint Age Estimation and Gender Classification of Asian Faces Using Wide ResNet
Credit Card Fraud Detection: Addressing Imbalanced Datasets with a Multi-phase Approach
Handwriting Recognition Using Wasserstein Metric in Adversarial Learning
Towards to Characterization of Network Management Traffic in OpenStack-Based Clouds
Don't Ignore the Drive of Curiosity: Rethinking Subtleties Between Universality of Commonsense Knowledge and Excellence of Large Language Models
Real-Time Traffic Light Optimization Using Simulation of Urban Mobility
Diabetic Retinopathy Classification Using Hybrid Deep Learning Approach
Deep Cybersecurity: A Comprehensive Overview from Neural Network and Deep Learning Perspective
Design and Analysis of Low Power Reversible Majority Logic-Based Adder/Subtractor Circuits with Parallel Computing Optimization
PToPI: A Comprehensive Review, Analysis, and Knowledge Representation of Binary Classification Performance Measures/Metrics
Retraction Note: Data Security-Based Routing in MANETs Using Key Management Mechanism
An Empirical Investigation of Critical Factors Affecting Acceptance of E-Learning Platforms: A Learner's Perspective
Monitoring and Classification of Human Sleep Postures, Seizures, and Falls From Bed Using Three-Axis Acceleration Signals and Machine Learning
Vision-Based Multilingual Sign Language Translation
ADA-DR: An Adversarial Domain Adaptation Framework for Disaster Response to Address Cold-Start Issue for Multiclass Classification of Disaster Images
Deep Learning Empowered Human Gait Recognition with Improved Dense Capsule Networks
An Analytical Study of Multiprocessor Scheduling Using Metaheuristic Approach
An Ontology-Based Task-Oriented Dialogue to Create OutSystems Applications
Classical-Quantum Transfer Learning for Image Classification
Meta-heuristic Algorithms to Optimize Two-Stage Task Scheduling in the Cloud
An Analytical Study on the Efficacy of Blockchain Frameworks for Student Grievance Management
Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction
Computer Virus Model with Stealth Viruses and Antivirus Renewal in a Network with Fast Infectors
YoNet: A Neural Network for Yoga Pose Classification
Sentiment Analysis Using Improved CT-BERT_CONVLayer Fusion Model for COVID-19 Vaccine Recommendation
Optimized Placement of Service Function Chains in Edge Cloud with LSTM and ILP
An Upgraded Approach for Identifying Partially Reduplicated Forms in Bengali Text
Deep Residual Networks' Abstract Reasoning Performance on Raven's Progressive Matrices
Spiralizer Strategy with Wolf Pack Algorithm and Temporal Convolution Network - Gated Recurrent Unit for Coconut Crop Yield Prediction
A Review on Machine Learning and Deep Learning Based Systems for the Diagnosis of Brain Cancer
A Contemporary Survey of Multimodal Presentation Attack Detection Techniques: Challenges and Opportunities
Student Education Analysis of e-Learning during COVID-19 Using Support Regression Random Forest Algorithm
A Heuristic Approach to Solve Author Name Ambiguity Using Minimum Bibliographic Evidences
Chronic Kidney Disease (CKD) Prediction Using Stochastic Deep Radial Basis for Feature Extractiona Residual Neural Network
AutoTag & TagMap: LLM-Powered Moodle Plugins for Pedagogical Alignment Checks
Distributed Intelligence in the Internet of Things: Challenges and Opportunities
Automated COVID-19 Detection from Chest X-Ray Images: A High-Resolution Network (HRNet) Approach
Effects of KF94 Face Mask on Cardiopulmonary Function and Subjective Sensation during Graded Exercise: A Comparison of KF94 2D and 3D Face Masks
A Robust Modified Character Segmentation Approach for the Handwritten Archaic Modi Documents
iGLU 4.0: Intelligent Non-invasive Glucose Measurement and Its Control with Physiological Parameters
AI-Based Fashion Recommendations Aligned with Current Trends from Sketch to Style
Hate Speech Prediction on Social Media
Hybrid Deep Learning Model for Classification and Prediction of Abnormalities in Upper and Lower Extremities of Musculoskeletal Radiographs
Improving Wheat Leaf Disease Image Classification with Point Rend Segmentation Technique
DNN-Based Knee OA Severity Prediction System: Pathologically Robust Feature Engineering Approach
Efficient Global Neural Architecture Search
Behavior Based Group Recommendation from Social Media Dataset by Using Deep Learning and Topic Modeling
Topology and Local Optima in Computer Vision
Correction: Skin Cancer Segmentation Based on Triangular Intuitionistic Fuzzy Sets
A Novel Steganography Approach for Audio Files
Design and Development of a Text-to-Speech Synthesizer for Afan Oromo
Context-Aware Interactive Knowledge-Based Recommendation
Dynamic Deep Learning for Weld Defects Detection and Localization
Detection and Blurring Bloodstained Violence Scene by Convolutional Neural Network-Based Model for Media Platforms
IoT-Based Remote Monitoring as a Distance (Online) Laboratory for Applied Learning
Model-Driven Engineering of Process-Aware Information Systems
EEG-Based Emotion Recognition Using Quantum Machine Learning
Analytical Modelling and Performance Enhancement of Cooperative HARQ Scheme for Underwater Acoustic Sensor Networks
Research Landscape of Patterns in Software Engineering: Taxonomy, State-of-the-Art, and Future Directions
Classification of Effect on Real Estates in Mumbai During Covid-19
Design of Cost Efficient VBIR Technique Using ICA and IVCA
Effective Stock Market Pricing Prediction Using Long Short Term Memory-Upgraded Model (LSTM-UP) on Evolving Data Sets
Information Technology for Parametric Optimization of Fuzzy Systems Based on Hybrid Grey Wolf Algorithms
Futures Options Pricing in the Indian Commodity Market Using Univariate GARCH Models and Particle Swarm Optimization
Optimized Stacking Ensemble Framework with Feature Selection for Cardiovascular Disease Prediction
Optimizing Change Detection Evaluation: Reducing Dataset Redundancy While Preserving Performance Assessment
Statistical Analysis of Renal Risk Factors and Prediction of Chronic Kidney Disease
Internet of Things Enabled Smart E-Nose System for Pollutants Hazard Detection and Real-Time Monitoring in Indoor Mosquito Repellents
Quantum Computing Opportunities in Renewable Energy
Fake News Detection Using ARO and LSTM Algorithms
Detection of Lung Cancer Using Convolution Neural Network
Formal Techniques for Development and Auto-tuning of Parallel Programs
A Multilayered Encryption for the Robust Design and Implementation of Secure Audio Files
A Methodology for Integrating Population Health Surveys Using Spatial Statistics and Visualizations for Cross-Sectional Analysis
Optimized Deep Learning Framework for Cryptocurrency Price Prediction
EnSKM-FTOPSIS: Enhanced Secure Key Management Framework in Dynamic Mobile Wireless Sensor Networks
Coupling Effect of Exploration Rate and Learning Rate for Optimized Scaled Reinforcement Learning
The critical success factors' investigation during knowledge management implementation within SME enterprises: a Participatory Design opportunity
A Survey on Security and Privacy Issues in Contact Tracing Application of Covid-19
An Exploration into Human-Computer Interaction: Hand Gesture Recognition Management in a Challenging Environment
Detection of Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests
Residual Dense Blocks for Extreme Foreground Imbalance in Brachytherapy Applicator Segmentation
A Statistically Efficient and Scalable Method for Exploratory Analysis of High-Dimensional Data
A Review on Machine Unlearning
Students' and Teachers' Perceptions of Using Video Games in Science Classroom: A Literature Review
Optimal Index Selection Using Optimized Deep Q-Learning Algorithm for NoSQL Database
Redefining the Graph Edit Distance
LSTM based Sentiment Analysis of Financial News
Enhancing Reliability During Physical Memory Forensics: Strategies and Practices
Dynamic Optimization of Role Concepts for Role-Based Access Control Using Evolutionary Algorithms
Wideband Cavity-Based Antenna for WLAN Applications with Wide Coverage
Hybrid Deep Learning Models for Accurate EEG-Based Cognitive State Classification
Development of an Intelligent Electronic-Nose Framework for Perishable Food Quality Assessment
On the Security and Complexity of Periodic Systems
A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey
A Novel Deep Learning-Based Approach for Palmprint Recognition and Feature Extraction Using BiConvLSTM and Improved Binary Dragonfly Algorithm
A Perspective Review: State-of-the-Art on m-Health Services
Modelling the Interaction Between Incumbents and New Entrants with a Game Theory Approach: A Case Study of Public Transportation
Neural Style Transfer as Data Augmentation for Improving COVID-19 Diagnosis Classification
EGRNN++ and PNN++ : Parallel and Distributed Neural Networks for Big Data Regression and Classification
Revolutionize AI Trading Bots with AutoML-Based Multi-timeframe Bitcoin Price Prediction
Implementation of Machine Learning in VLSI Integrated Circuit Design
A Template Matching Based Approach for Geolocating Cadastral Aerial Images
An Innovative Machine Learning Mechanism for Predicting the Best Fit Engineering Major for Jordanian Undergraduate Students
PES-DAS: Privacy Enhancing Subset-Data Aggregation Scheme Leveraging Homomorphic Cryptosystem in Fog-Cloud Based IoT Applications
Fuzzy Inception UNet: Bridging Uncertainties in MRI for Multi-Modal Brain Tumor Segmentation
Detection of Autism Spectrum Disorder in Children Using Machine Learning Techniques
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment
Detecting Anomalous Solder Joints in Multi-sliced PCB X-ray Images: A Deep Learning Based Approach
Auto-GeRo: An IOT based Geo Spatial Model for Real-Time Road Condition Detection
Data Science for Genomic Data Management: Challenges, Resources, Experiences
Development and Application of a Sentinel-2 Satellite Imagery Dataset for Deep-Learning Driven Forest Wildfire Detection
Performant Multilingual Modulated and Multiplexed Memory Distilled Model with Adaptive Activation Ensembles
Design and Analysis of Sixth-Generation (6G) Microstrip Patch Antenna
An Efficient Framework for Algorithmic Metadata Extraction over Scholarly Documents Using Deep Neural Networks
Embedding Marketing Environment with Customer Heterogeneity for Store-Level Scanner Data
A Flow-Based Node Dominance Centrality Measure for Complex Networks
Embedded Object Detection and Mapping in Soft Materials Using Optical Tactile Sensing
Novel Heuristics for the Euclidean Leaf-Constrained Minimum Spanning Tree Problem
A Strategy-Based Algorithm for Moving Targets in an Environment with Multiple Agents
A Study on Content Tampering in Multimedia Watermarking