yusuke1997/dblp-id-title huggingface dataset:
X-ResFormer: A Model to Detect Infestation of Pest and Diseases on Crops
Seeding Grammars in Grammatical Evolution to Improve Search-Based Software Testing
A New Joint Data Collection and Wireless Energy Transfer (SSDCWC) Strategy for Rechargeable Wireless Sensor Network
FMeAR: FACS Driven Ensemble Model for Micro-Expression Action Unit Recognition
Text Conditioned Generative Adversarial Networks Generating Images and Videos: A Critical Review
A Deep Learning Approach for the Detection and Classification of Power Quality Disturbances with Windowed Signals
OntoPred: An Efficient Attention-Based Approach for Protein Function Prediction Using Skip-Gram Features
Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples
Correction: Optimized Machine Learning for Classifying Colorectal Tissues
Improved Posiform Planting Algorithm for Random Generation of Binary Optimization Problems
Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design
A Review and Benchmark on State-of-the-Art Steel Defects Detection
CNN-Based Deep Learning Model for Early Identification and Categorization of Melanoma Skin Cancer Using Medical Imaging
A Privacy-Protected Federated Learning with Cross-silo Brain Tumour Dataset for Glioma Detection
Correction to: Social Engineering Attacks During the COVID-19 Pandemic
Multimodal Approach for Lung Disease Classification: Fusing Chest X-Ray Images and Clinical Texts
Poetic and Semantic Features for Lyricist Identification from Tamil Film Lyrics
Reidentifying Asian Elephants from Ear Images Using a Cascade of Convolutional Neural Networks and Explaining with GradCAM
An Optimal Jobs' Admission Control System for Priority-Based Queue Network
Fast Exact Pattern Matching by the Means of a Character Bit Representation
An Efficient Low-Latency and High Throughput LED Cipher Architecture for IoT Security on a Hardware Platform
A Feasibility Study on Translation of RGB Images to Thermal Images: Development of a Machine Learning Algorithm
Analyzing and Exploring the Impact of Big Data Analytics in Sports Sector
Application of Statistical Models: Parameters Estimation of Road Accident in Bangladesh
Features Responsible for Spread of Zoonotic Disease Brucella: A Study on Central India Population
A Distributed Microservice Architecture Pattern for the Automated Generation of Information Extraction Pipelines
GlaucoNet: Patch-Based Residual Deep Learning Network for Optic Disc and Cup Segmentation Towards Glaucoma Assessment
Computational Complexity Reduction of HEVC by Early Termination of Transform Unit Partitioning Using Raster Scan Approach
Development of Multi-Image Compression Technique Based on Common Code Vector
A MILP Model for Relief Service Facilities: Location-Allocation Approach for Bogotá, Colombia
Clustering Using Student t Mixture Copulas
Implementation of DEWMA-Based Hello Packet for AODV to Improve the Performance of FANET with 3D-GMM
Characterization of a New Potential Family of Organic-Like Pattern-Generating Dynamical Systems
Advancing Software Vulnerability Scoring: A Statistical Approach with Machine Learning Techniques and GridSearchCV Parameter Tuning
Energy-Efficient Task Scheduling in Fog Computing Based on Particle Swarm Optimization
An Laboratory Investigation on Abatement of Oxides of Nitrogen (NO x ), Carbon Monoxide (CO), and Volatile Organic Compounds (VOC) Using Pulse Powered Dielectric Barrier Discharge Plasma Hybrid Technique
Many-Objective Feedback Evolutionary Algorithm for Optimizing the Software Test Suite
CardiacXAI: Explainable Ensemble AI Schema for Unveiling Critical Features in Cardiac Arrest Classification
Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines
FlexiChain: A Minerless Scalable Next Generation Blockchain for Rapid Data and Device Security in Large Scale Complex Cyber-Physical Systems
Leveraging Ensemble and Hybrid Forecasting Tools to Increase Accuracy: Turkey COVID-19 Case Study
Power Saving Scheme for Process Corner Calibrated Standard Cell Based Flash ADC in Wireless Surveillance Applications
Efficient Segmentation of Vessels and Disc Simultaneously Using Multi-channel Generative Adversarial Network
Multi-robot Task Allocation System: Fuzzy Auction-Based and Adaptive Multi-threshold Approaches
Computer Vision Based Automatic Margin Computation Model for Digital Document Images
Transaction-Based Blockchain Systems Security Improvement Employing Micro-Segmentation Controlled by Smart Contracts and Detection of Saddle Goatfish
Integrating LLM and GenAI for CyberSecure and Adaptive Resource Management in Large-Scale Wireless Sensor Networks
An Improved Gannet Optimization Algorithm Based on Opposition-Based Schemes for Feature Selection Problems in High-Dimensional Datasets
Hybrid Deep Learning Approach with Feature Engineering for Enhanced Pulmonary Nodule Diagnosis
Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak
Face Recognition Based on Deep Learning Convolutional Neural Network in Cloud Internet of Things Environment
Pandemic Analytics: How Countries are Leveraging Big Data Analytics and Artificial Intelligence to Fight COVID-19?
Secure Color Image Encryption Using 9D Hyperchaotic System, Fibonacci Matrices of order m and Symplectic Quaternion-Fractional Hahn Moments
Fuzzy Galactic Swarm Optimization with Dynamic Adjustment of Parameters Based on Fuzzy Logic
Deep Learning Models for Accurate Detection of COVID-19 Pneumonia from Chest X-Ray Images
Enhancement of a Camera-Based Continuous Heart Rate Measurement Algorithm
A Contemporary Framework for Detection of Phishing Website for Cyber Societal Safety
Uncovering Strategies and Commitment Through Machine Learning System Introspection
Multiproduct Pipeline Leak Detection and Localization System Using Artificial Intelligence
Keypoint Changes for Fast Human Activity Recognition
Analyzing Intracranial EEG in Pharmacoresistant Epilepsy Patients Using Hidden Markov Models and Time Series Forecasting Methods
Fuzzy Deep Learning Model for Prediction of Conformational Epitope
Enhancing Land Use Identification Through Fusion of Densenet121 DCNN and Thepade SBTC Features Using Machine Learning Algorithms and Ensembles
Comparative Analysis of Stack-Ensemble-Based Intrusion Detection System for Single-Layer and Cross-layer DoS Attack Detection in IoT
Statistical Analysis of Coaching Skill: This is the WAE
Real-Time Semantic Edge Segmentation Using Modified Channelwise Feature Pyramid
Efficient Path and Action Planning Method for Multi-Agent Pickup and Delivery Tasks under Environmental Constraints
Heatmap-Based Deep Learning Model for Network Attacks Classification
A Blockchain-IPFS Framework for Secure, Scalable, and Interoperable Healthcare Data Management
Student Dropout Analysis in Higher Education and Retention by Artificial Intelligence and Machine Learning
Probabilistic Approach to Robot Motion Planning in Dynamic Environments
A Systematic Review of Academic Integrity and Misconduct with Artificial Intelligence in Higher Education
PIKS: A Technique to Identify Actionable Trends for Policy-Makers Through Open Healthcare Data
An Insight into Multi-Criteria Decision Methods for the Selection of Robot: A Comprehensive Review
Predicting of Sleep Behaviour in Smart Homes Based on Multi-residents Using Machine Learning Techniques
Machine Learning Approaches in Cybersecurity to Enhance Security in Future Network Technologies
Analysis of COVID-19 Datasets Using Statistical Modelling and Machine Learning Techniques to Predict the Disease
Real-Time Weather Monitoring and IoT-Based Palmtop Device for Smart Agriculture
Artificial Intelligence Based Security Improvement in Medical-IoT Health Care System Using Generative Deep Belief Neural Network
Enhanced Kidney Stone Detections Using Digital Image Processing Techniques
Developing a Green AI Platform for SMEs to Analyze Open-source Information with the Approach of Society 5.0
Intelligent Reasonable Optimization for Virtual Machine Provisioning in Hybrid Cloud Using Fuzzy AHP and Cost-Effective Autoscaling
DeepFake Video Detection: A Time-Distributed Approach
Zero-Day Malware Classification and Detection Using Machine Learning
HiTACoD: Hierarchical Framework for Textual Abusive Content Detection
Optimizing Crowd Counting in Dense Environments Through Curriculum Learning Training Strategy
A Real-Time Prescriptive Solution for Explainable Cyber-Fraud Detection Within the iGaming Industry
ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter
Smart Cities: Aligning Tech Efficiency with Social Justice
Accelerating Graph Analytics Using Attention-Based Data Prefetcher
Convergence of Deep Learning and Forensic Methodologies Using Self-attention Integrated EfficientNet Model for Deep Fake Detection
Building Multiple Classifier Systems Using Linear Combinations of Reduced Graphs
Enhancing Internet of Smart City Security: Utilizing Logistic Boosted Algorithms for Anomaly Detection and Cyberattack Prevention
Software Product Quality Models, Developments, Trends, and Evaluation
How to Formalize Different Types of Norms in Multi-agent Systems: A Methodology Focused on the T-Norm Model
Closing the Feedback Loop in DevOps Through Autonomous Monitors in Operations
Detection and Asynchronous Flow Prediction in a MOOC
Mango Fruit Variety Classification Using Lightweight VGGNet Model
Correction: Designing of Enhanced Deep Neural Network Model for Analysis and Identification of Kidney Stone, Cyst, and Tumour
Gauss-Seidel Extreme Learning Machines
Picture Fuzzy Time Series Forecasting with a Novel Variant of Particle Swarm Optimization
Adaptive Dynamic Probabilistic Elitist Ant Colony Optimization in Traveling Salesman Problem
An SQL Domain Ontology Learning for Analyzing Hierarchies of Structures in Pre-Learning Assessment Agents
Performance Optimization Across the Edge-Cloud Continuum: A Multi-agent Rollout Approach for Cloud-Native Application Workload Placement
Artificial Intelligence Based Test Systems to Resist Waterborne Diseases by Early and Rapid Identification of Pathogens: A Review
Evaluation of Neurofeedback Therapy for Treatment of Central Neuropathic Pain in Paraplegic Patients Using Deep Learning
Phishing Website Detection as a Website Comparing Problem
Privacy-Preserving Healthcare Data Modeling Based on Sensitivity and Utility
Genetic Algorithm Based Hyper-Parameter Tuning to Improve the Performance of Machine Learning Models
HOrBAC Optimization Based on Suspicious Behavior Detection Using Information Theory
An Adaptive Block-Based Watermarking Scheme Using RDWT-SVD and Particle Swarm Optimization
Evaluating the Effectiveness of YouTube as a Tool for Research in Higher Education Students: An Experimental Approach
An Algorithm for Semantic Vectorization of Video Scenes: Applications to Retrieval and Anomaly Detection
Enhancing Student Dropout Prediction in MOOCs Using Graph Neural Networks and Link Augmentation
NVRAM as an Enabler to New Horizons in Graph Processing
Enhancing Forecasting Accuracy with a Moving Average-Integrated Hybrid ARIMA-LSTM Model
Application of Predictive Techniques for Startup Survival: The Ecuadorian Case
Deep Learning Models for Solving Financial Word Problems
Relative Assessment of Traditional and Cloud Enabled Augmented Reality Applications for Chemistry Teaching and Learning Practices
Fast 3D Volumetric Image Reconstruction from 2D MRI Slices by Parallel Processing
Novel Framework for Improving the Correctness of Reference Answers to Enhance Results of ASAG Systems
Reward Value-Based Goal Selection for Agents' Cooperative Route Learning Without Communication in Reward and Goal Dynamism
Development of Immersive Virtual Reality Hospital Fire Management and Evacuation Training Program for Nursing Students in Hong Kong
Content-Based Gastric Image Retrieval Using Fusion of Deep Learning Features with Dimensionality Reduction
A Proposal of Advanced Widgets Learning Topic for Interactive Application in Android Programming Learning Assistance System
ASCM: Analysis of a Sequential and Collaborative Model for Recommendations
A Framework for Analyzing Modeling Languages for Context-Aware Systems
Writing Better User Stories and Estimates Story Point with Machine Learning and Natural Language Processing
Optimal μPMU Placement in Radial Distribution Networks Using Novel Zero Injection Bus Modelling
Spatio-Temporal NDVI Prediction for Rice Crop
Retraction Note: Multimedia Educational System and its Improvement Using AI Model for a Higher Education Platform
Context Based Review on Auto Text Summarization Techniques Using Natural Language Processing for Performing Evaluation and Comparative Analysis of ATS Techniques
Hyperparameters Tuning in Adaptive Q-Learning and DQN-Based Routing Protocols for FANETs: A Comparative Study
Probabilistic Fuzzy Time Series Forecasting Method Based on Cumulative Probability Based Discretization Approach and Particle Swarm Optimization
Identification of Epileptic Seizures Utilising a Computationally Powerful Spiking Neuron
Distributed Clustering in Wireless Sensor Network with Kernel Based Weighted Fuzzy C-Means Algorithm
Receding-Horizon Control of Constrained Switched Systems with Neural Networks as Parametric Function Approximators
Interactive Visualization and Computation of 2D and 3D Probability Distributions
Peer Collaboration in DBLP Using Graph Convolutional Network
Forecasting Smart Grid Stability Using a Hybrid CNN Bi-LSTM Approach
Ensemble Learning with Extended Newton Support Vector Machines for Enhancing Gene Expression Classification
Execution of Structured and Unstructured Mining in Automotive Industry Using Hortonworks Sandbox
Correction: A Learning Classifier System for Automated Test Case Prioritization and Selection
Semantic Segmentation Based Real-Time Traffic Monitoring via Res-UNet Classifier and Kalman Filter
Edge-Preserving Multiframe Image Super-Resolution Methods Under Anisotropic Diffusion Framework
Social Network Users Create Seismic Intensity Maps: An Automatic Approach of the Methodology
Explanation of HRV Features for Detecting Atrial Fibrillation
Automated Vehicle Damage Inspection: A Comprehensive Evaluation of Deep Learning Models and Real-World Applicability
Retailer's Dual Role in Digital Marketplaces
Robustness of Numerically Computed Contraction Metrics
Statistical Arbitrage Volatility-Driven with Statistics and Machine Learning Models for Stock Market Forecasting
Change Detection and Patch Analysis of Sundarban Forest During 1975-2018 Using Remote Sensing and GIS Data
FusionNet-ViT: Hybrid Deep Learning Model for Lung Cancer Classification
Facial Emotion Intensity: A Fusion Way
Optimizing Patient Waiting Time in the Outpatient Department of a Multi-specialty Indian Hospital: The Role of Technology Adoption and Queue-Based Monte Carlo Simulation
A Multi-modal Approach for Emotion Recognition Through the Quadrants of Valence-Arousal Plane
Prediction of Community Evolution with Com_Tracker Using Tailored Network Splitting and Community Features' Change Rates
Multi-Constraints Feature Selection-Based Cross-Pattern Heterogenous Ensemble Learning Model for Diabetic Mellitus Prediction Under Data-Imbalance and Insufficiency
Properties and Characteristics of Digital Twins: Review of Industrial Definitions
A Computer-Aided Diagnosis-Based Analysis for a Model-Based Approach for Lung Segmentation
Agriculture Field Area Calculation Using Drone Camera: Method and Framework Design
MSIR@FIRE: A Comprehensive Report from 2013 to 2016
How Data Augmentation Affects Evolutionary Algorithms in Feature Selection: An Experimental Study
Millets Industry Dynamics: Leveraging Sales Projection and Customer Segmentation
Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality
Disturbance Rejection in the Cerebellum
Enhanced Multi-variate Time Series Prediction Through Statistical-Deep Learning Integration: The VAR-Stacked LSTM Model
Class Representative Learning for Zero-shot Learning Using Purely Visual Data
Leveraging a Novel Pre-Trained Neural Networks for Geometric Feature Analysis in 3D Tissue Images
Is COVID-19 Being Used to Spread Malware
Learning to Rank Hypernyms of Financial Terms Using Semantic Textual Similarity
Enabling Technology Integrated Learning for Autistic Children Using Augmented Reality Based Cognitive Rehabilitation
Investigation of Sentiment Analysis for the Diagnosis of ADHD
Breast Cancer Detection Through Semantic Segmentation of MRI Images with DMFTNet
A Patient-Centric Nurse Scheduling Algorithm
Alz-ConvNets for Classification of Alzheimer Disease Using Transfer Learning Approach
Revolutionizing Rose Grading: Real-Time Detection and Accurate Assessment with YOLOv8 and Deep Learning Models
Measuring When a Music Generation Algorithm Copies Too Much: The Originality Report, Cardinality Score, and Symbolic Fingerprinting by Geometric Hashing
Efficacy of Residual Methods for Passive Image Forensics Using Four Filtered Residue CNN
Model-Driven Joint Optimization of Power and Latency Guarantee in Data center Applications
Multi-level Data Integrity Model with Dual Immutable Digital Key Based Forensic Analysis in IoT Network
Evaluating the DevOps Reference Architecture for Multi-cloud IoT-Applications
Augmented Reality and Photogrammetry Based Anatomical Models in Medical Education
A Privacy-Preserving Blockchain Learning Model for Reliable Industrial Internet of Things Data Transmission
Machine Learning Predictive Models for Coronary Artery Disease
Towards Perpetual Wireless Rechargeable Sensor Networks with Path Optimization of Mobile Chargers
An Integrated Deep Learning Framework for Soil Type Classification
Remote and In-Person Learning: Utility Versus Social Experience
Classification of Anti-phishing Solutions
The Most Effective Strategy for Incorporating Feature Selection into Credit Risk Assessment
From Vision to Evaluation: A Metrics Framework for the ACCESS Allocations Service
A Multiobjective Approach for Nearest Neighbor Optimization of N-Dimensional Quantum Circuits
A Comparative Analysis on Recent Methods for Addressing Imbalance Classification
ConvDepthTransEnsembleNet: An Improved Deep Learning Approach for Rice Crop Leaf Disease Classification
An Efficient Seed-Initialized Algorithm for Maximal Clique Enumeration and Its Applications
Least Absolute Prone Factor Based Cardio Vascular Disease Prediction Using DenseNet Multi Perceptron Neural Network for Early Risk Diagnosis
Hybrid Approach for Content-Based Image Retrieval using VGG16 Layered Architecture and SVM: An Application of Deep Learning
From Chat To Cheat: the Disruptive Effects of ChatGPT and Academic Integrity in Hong Kong Higher Education
Real-Time Compressed Video Encryption: Based on Quasigroup on System on Chip (SOC)
Using Machine Learning Techniques for Rainfall Estimation Based on Microwave Links of Mobile Telecommunication Networks
Study of Tokenization Strategies for the Santhali Language
Vision-Based Indoor Corridor Localization via Smartphone Using Relative Distance Perception and Deviation Compensation
Machine Learning Framework with Wilson Loop Perceptron for Measuring the Rate of Mutation Patterns between DNA and RNA Viruses
A Novel Metric for Detecting Anomalous Ship Behavior Using a Variation of the DBSCAN Clustering Algorithm
Spatial Relative Risk of Upper Aerodigestive Tract Cancers Incidence in French Northern Region
Performance Evaluation of IoST-Mist-Fog-Cloud Framework for Geospatial Crime Data Visualization: A State Dependent Queueing Approach
An Inventory Model for Perishable Items with Cubic Deterioration Rate Having Shelf-Life Price, Stock, and Time-Dependent Demand Rate
Human in the Loop Fuzzy Pattern Tree Evolution
Disease Prediction Based on Symptoms Given by User Using Machine Learning
Design an Artificial Intelligence Based Machine Learning Framework for Improving Health Care Management
Understanding the Impact of the Alphabetical Ordering of Names in User Interfaces
A New Hybrid Algorithm for Multivariate Polynomial System Solving
Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach
Backward Pattern Matching on Elastic-Degenerate Strings
A New Version of Energy-Efficient Optimization Protocol Using ICMA-PSOGA Algorithm in Wireless Sensor Network
An Optimized IDS Framework for Big Data Environments: Integrating Gravitational Search and SMOTE-IPF Data Balancing for High-Accuracy IDS
Classification of Hindi Compound Nouns Using Machine Learning
On Multi-Quadric Based RBF-FD Method for Second-Order Diffusion Filters
Peasant Displacement and Food Sustainability: The Colombian Case
Detection of Gene Ontology Clusters Using Biclustering Algorithms
Aspect Level Sentiment Analysis Based on Deep Learning and Ontologies
Effective IoT Based Analysis of Photoplethysmography Waveforms for Investigating Arterial Stiffness and Pulse Rate Variability
Classification of Textual Sentiment Using Ensemble Technique
A Survey on Object Instance Segmentation
A Hybrid Deep Learning and Blockchain Framework for Real-Time IoT DDoS Resilience
Classification of EEG Signal Using Deep Learning Architectures Based Motor-Imagery for an Upper-Limb Rehabilitation Exoskeleton
BCPUML: Breast Cancer Prediction Using Machine Learning Approach - A Performance Analysis
Metaverse Logistics: Harnessing Blockchain Technology for Next-Generation Supply Chain Systems
Simulation of Performance and Emissions Related Parameters in a Thermal Engine Using a Deep Learning Approach
Heuristic Segmentation Assisted Deep-Spatial Feature Learning Model for Leprosy Detection
A Deep Knowledge Distillation HeartCare Framework for Detection of Multi-label Myocardial Infarction from Multi-lead ECG Signals
A Lightweight Indexing Approach for Efficient Batch Similarity Processing with MapReduce
Detailed Analysis of Pedestrian Activity Recognition in Pedestrian Zones Using 3D Skeleton Joints Using LSTM
Correction to: Image-Based Sentiment Analysis Using InceptionV3 Transfer Learning Approach
Chaos Theory Enhanced LSTM Model of the Philippine Stock Exchange Index
A Two-Stage Deep Feature Selection Method for Online Handwritten Bangla and Devanagari Basic Character Recognition
Multiple Sliding Modes Enlarge Basins of Attraction in Switched Control Systems
A Non-symmetric Divide-and-Conquer Recursive Formula for the Convolution of Polynomials and Power Series
A Novel SegNet Segmentation with MobileNet Brain Tumor Classification Using MRI Images
Segmentation Approaches of Parasite Eggs in Microscopic Images: A Survey
Attack Detection with Optimal PSO Feature Selection with DTOHE Model
Short-Term Load Demand Forecasting Based on Weather and Influencing Factors Using Deep Neural Network Experts for Sustainable Development Goal 7
A Comprehensive Metadata Framework for Preservation and Accessibility of Digital News and Educational Resource Management
Mortality Prediction of Various Cancer Patients via Relevant Feature Analysis and Machine Learning
A Standalone Real-Time Gait Phase Detection Using Fuzzy-Logic Implementation in Arduino Nano
Explaining Causal Influence of External Factors on Incidence Rate of Covid-19
PandoraGAN: Generating Antiviral Peptides Using Generative Adversarial Network
PubExN: An Automated PubMed Bulk Article Extractor with Affiliation Normalization Package
Towards an AI-Driven Marketplace for Small Businesses During COVID-19
HFEN-Breast: A Hierarchical Feature Extraction Network for Enhanced Breast Cancer Detection in Mammography
Challenges in Fluid Flow Simulations Using Exascale Computing
An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic
The Value Proposition of Campus High Performance Computing Facilities to Institutional Productivity: A Production Function Model
A Review of Machine Learning Classification Using Quantum Annealing for Real-World Applications
Detection of Knee Osteoarthritis Stages Using Convolutional Neural Network
Improved Database Security Using Cryptography with Genetic Operators
Distillation of Best Practices from Refactoring FLASH for Exascale
A Hybrid-SFLA-Based Hyper-Parameter Tuning Algorithm in SVR for Exchange Rate Prediction
A Review on Neural Turing Machine (NTM)
Sign Language Recognition (SLR): A Brisk Paired Deep Metric Attention Learning (BPDMAL) Model for Video Data Applications