yusuke1997/dblp-id-title huggingface dataset:
Computational Model on COVID-19 Pandemic Using Probabilistic Cellular Automata
Modular FER: A Modular Facial Expression Recognition from Image Sequence Based on Two Dimensional (2D) Taylor Expansion
Fusion Framework for Accident Anticipation and Incident Detection in Dashcam Videos
Deep Learning-Based Plant Leaf Disease Detection Using Scaled Immutable Feature Selection Using Adaptive Deep Convolutional Recurrent Neural Network
Measuring the Impact of Centralized High-Performance Computing with Research Collaboration Networks
Semantic Attack on Disassociated Transaction Data
QoS-Enabled Optimized Adaptive Multipath AODV Protocol
The Power of Personalization: A Systematic Review of Personality-Adaptive Chatbots
An Improved Analysis of TNN-Based Managed and Unverified Learning Approaches for Optimum Threshold Resolve
Flexible and Self-Powered PVDF-Nanosilica Based Piezoelectric Touch Sensor
Simulation Analysis and Investigation of Magnetic Field Effects on Growth of Wheat Samples (DBW-187, PBW-725)
GPU Side-Channel Attack Classification for Targeted Secure Shader Mitigation
A Privacy Preservation Framework Using Integration of Blockchain and Federated Learning
Historical Document Image Binarization: A Review
A Numerical Study of the Influence of Temperature Dependent Viscosity and Prandtl Number on Unsteady Natural Convection Flow of Methanol Over a Sphere with Magnetic Field
Dynamic Sliding Window and Neighborhood LSTM-Based Model for Stock Price Prediction
Font Generation and Keypoint Ranking for Stroke Order of Chinese Characters by Deep Neural Networks
Variable Trust Control Setting for Autonomous Vehicle Highway Navigation and Improved User Experience
Instance Discrimination Based Robust Training for Facial Expression Recognition Under Noisy Labels
Correction: Is COVID-19 Being Used to Spread Malware
A Model-Based Test Script Generation Framework and Industrial Insight
Database Creation and Preliminary Acoustic Analysis of Mizo Folk Songs
LegSegSC: A Silver-Standard Rhetorical Role Labeled Dataset of Indian Supreme Court Judgments
A Survey on Arabic Handwritten Character Recognition
Fair Resource Allocation Policies in Reverse Auction-Based Cloud Market
Machine Learning for Prediction of Cardiovascular Disease and Respiratory Disease: A Review
Technological Emergence of Promotional Strategies for Commercialized Indian Cinema: Industry 4.0 Aspect
DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation
The Dynamic Nature of Insider Threat Indicators
On the Practical Power of Automata in Pattern Matching
Using Social Media Categorical Reactions as a Gateway to Identify Hate Speech in COVID-19 News
Automated Detection of Infection in Diabetic Foot Ulcer Using Pre-trained Fast Convolutional Neural Network with U++net
Resource-Efficient One-Dimensional Discrete Chaotic Map-Based Pseudo-Random Number Generator for IoT Applications: A Practical Analysis
A Review of Deep Learning Techniques for Glaucoma Detection
Blockchain-Based Intelligent Digital Credentialing System for Participatory Governance: Design, Implementation, and Potential Implications
Fog-Assisted Blockchain-IoMT Healthcare Framework with Role-Based Access Control for Critically Ill Patients
Fusion of Forward and Backward LSTMs for Effective Occlusion Reconstruction in Gait Sequences
LLM-Based Text-to-SQL for Real-World Databases
An Image Encryption Algorithm Based on Trivium Cipher and Random Substitution
High Efficiency Disease Detection for Potato Leaf with Convolutional Neural Network
Offline Handwritten Devanagari Word Recognition Using CNN-RNN-CTC
A Comparative Survey of Text Summarization Techniques
An Efficient Approach to Reduce Energy Consumption in a Fog Computing Environment Using a Moth Flame Optimization Algorithm
Optimized Multifaceted Approach in Agriculture by Goal Programming with R and Python
The Finest Superframe Interval and GTS Provision Scheme (FSGPS) for Time-Sensitive IEEE 802.15.4 Applications
Facial Emotion Recognition in-the-Wild Using Deep Neural Networks: A Comprehensive Review
Disease Detection Using Ensemble Model in Machine Learning
Recognition and Classification of Dynamic Hand Gestures by a Wearable Data-Glove
Discovery and Classification of Twitter Bots
A Novel Approach in WiFi CSI-Based Fall Detection
Aspect Oriented Sentiment Analysis on Customer Reviews on Restaurant Using the LDA and BERT Method
Deep Learning for Visual-Features Extraction Based Personalized User Modeling
A Survey on Secure Refactoring
Securing Data via Cryptography and Arabic Text Steganography
An Optimization Technique is Designed to Enhance the Performance of the Metro Rail System
Deep Learning-Based Approach to Detect and Classify Signs of Crop Leaf Diseases and Pest Damage
Optimising Diversity in Classifier Ensembles
Genetic Algorithm-Based Optimization of a Miniature Wearable Fractal Patch Antenna for Medical Purposes
Enhancing Performance in Physical Activity Monitoring: Leveraging Wi-Fi Channel State Information (CSI)
A Novel Distributive Population-Based Differential Evolution Algorithm for SLM Scheme to Reduce PAPR in Massive MIMO-OFDM Systems
Predicting Apple Plant Diseases in Orchards Using Machine Learning and Deep Learning Algorithms
BAT.jl: A Julia-Based Tool for Bayesian Inference
Effective Feature Selection-Based Meta-heuristics Optimization Approach for Spam Detection
Encoding High-Dimensional Procedure Codes for Healthcare Fraud Detection
eSeiz 2.0: An Optimized Pulse Exclusion Mechanism for Accurate and Energy-Efficient Seizure Detection in the IoMT
Performance Evaluation of Natural Language Processing Algorithms for Sentiment Analysis
Cumulative Sum Ranking
An Optimized Load Balancing Probabilistic Protocol for Delay Tolerant Networks
Hybrid Routing Techniques for Location Privacy in IoT-Enabled Wireless Sensor Healthcare Networks
Personality Recognition in Social Media using Sentence Embeddings Based on Transformer Networks
A Review on Human Healthcare Internet of Things: A Technical Perspective
Machine Learning Techniques to Identify Dementia
Enhanced Modelling Performance with Boosting Ensemble Meta-Learning and Optuna Optimization
Long Short-Term Memory-based Deep Learning Model for COVID-19 Detection using Coughing Sound
Cough Audio Analysis for COVID-19 Diagnosis
Ensuring Security and Privacy Preservation for the Publication of Rating Datasets
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization
Near and Far Interaction for Outdoor Augmented Reality Tree Visualization and Recommendations on Designing Augmented Reality for Use in Nature
An Improved Water Flow Optimizer for Data Clustering
Antenna Gain Improvement for Wi-Fi Applications Using Parasitic Patch
Pandemic Penetration: Factors for Measurement
Adversarial Image Caption Generator Network
Generative AI in Programming Education: Evaluating ChatGPT's Effect on Computational Thinking
An Intelligent Fault Detection Framework for HVAC Systems with Alert Generation
Breast Cancer Data Classification Using Xception-Based Neural Network
A Recursive Algorithm for Mining Association Rules
Intelligent Deep Learning-Based NetFlow Botnet Detection and AI-Powered Malware Classification for IoT Edge Security
An Offline Biotic Stress Recognition Tool for Rice Plants Through Domain Shift
Risk Assessment Driven Use of Advanced SIEM Technology for Cyber Protection of Critical e-Health Processes
Neural Network Model for Predicting Apple Yield Based on Arrival of Phenological Stage in Conjunction with Leaf disease, Soil and Weather Parameters
Detection of Twitter Spam Using GLoVe Vocabulary Features, Bidirectional LSTM and Convolution Neural Network
From Algorithms to Architecture: Computational Methods for House Floorplan Generation
An Efficient Approach for VM and Database Segmentation of Cloud Resources Over Cloud Computing
Enhancing Requirements Classification Using Machine Learning Techniques
Optimizing Sentiment Analysis Performance with Backpropagation Neural Networks: A Comparative Evaluation of LM, BR, and SCG
Mediating Perception of Accounting Professionals Towards Implementation of International Financial Reporting Standards
Machine Learning with Adaptive Rate Processing for Power Quality Disturbances Identification
Self-Learning Based Cognitive Reading and Character Recognition in Image Processing Techniques
Wavelet Based Classification Using Meta-Heuristic Algorithm with Deep Transfer Learning Technique
Machine Learning Algorithms for Identifying Fake Currencies
Multimodal Labor Exploitation Detections for Taiwan Distant Water Fishing Industry
A Novel Clustering Framework to Identify Team Playing Styles Within Australian Football
Weighted Hybrid A*-Based Trajectory Planning for Dynamic Environments
Comparative Assessment of Image Super-Resolution Techniques for Spatial Downscaling of Gridded Rainfall Data
Bidirectional Recurrent Network and Neuro-fuzzy Frequent Pattern Mining for Heart Disease Prediction
Joint Exploration of Kernel Functions Potential for Data Representation and Classification: A First Step Toward Interactive Interpretable Dimensionality Reduction
An Autoregressive Dragonfly Optimization-Based Assignment Planning Procedures for Refining Enactment and Data Security in Mobile Cloud Computing
Partial Sum Attack on Round-Reduced AES Utilizing Parallel Computation Approaches
PPsFLP: End-to-End Privacy Preserved and Secure Federated Learning Paradigm of Medical Images
Correction: An Efficient Graph Mining Approach Using Evidence Based Fuzzy Soft Set Method
Machine Learning Approaches for Solar PV Fault Identification
An Embellished Particle Swarm Optimization Technique in VANET for Finding Optimal Route (E-PSO)
A Privacy Preserving Mechanism for Securing IPv6 Duplicate Address Detection Against DoS Attacks
Incentive-Scheduling Algorithms to Provide Green Computational Data Center
Age Specific Analysis on Multiclass Sequential Curated-Electronic Health Records (MSC-EHR) for CAD Survival Prediction using Deep Learning Techniques
TLD-FDL: Tomato Leaf Disease Classification Using End-to-End Fusion of Deep Learning Models
Enhancing Segment-Based Bag of Clusters with Mixture Models and Late Chunking for Document Clustering
Survey on Machine Learning and Deep Learning Techniques for Agriculture Land
Stacking Enabled Ensemble Learning Based Intrusion Detection Scheme (SELIDS) for IoV
Extraction of Semantic Links from a Document-Oriented NoSQL Database
SST: A Tool to Support the Triage of Security Smells in Microservice Applications
The Revolution Continues
Enhancing Underwater Object Detection: Leveraging YOLOv8m for Improved Subaquatic Monitoring
Methylation Data of Parents in the Prediction of a Preterm Birth: A Machine Learning Approach
A New Micro-genetic Crossover Operator for Effective Training of Medical Neural Networks
Design of an Iterative Model for Lumpy Skin Disease Prediction Using Fine-grained Feature Fusion and Adaptive Transfer Learning
A Survey on Routing Protocols for Disaster Management
Improving Fault Detection in Sparse Underwater Sensor Networks with K-MeansBased Distributed Algorithms
An Auto Encoder-Decoder Approach to Classify the Bird Sounds Using Deep Learning Techniques
Performance Analysis of Kannada Phonetics: Vowels, Fricatives and Stop Consonants Using LP Spectrum
Improved Filter Ranking Incorporated Binary Black Hole Algorithm for Feature Selection
Budget Constraint Scheduler for Big Data Using Hadoop MapReduce
Challenges and Solutions in Implementing Data Governance: A Literature Review
Collective Scoping: Streamlining Entity Sets Towards Efficient and Effective Entity Linkages
A Review on Highway Routing Protocols in Vehicular Ad Hoc Networks
Darknet Traffic Analysis and Classification Using Numerical AGM and Mean Shift Clustering Algorithm
Augmented Reality/Virtual Reality for Immersive Collaboration: Mind and Material
Automatic Facial Expression Recognition - A Circumcenter-Incenter-Centroid (CIC) Trio Feature-Induced Approach
Inverted Index for Similar Document Detection: A Case Study at Can Tho University Journal of Science
Robust Smart Grid Monitoring Network Based on Direct Sequence Spread Spectrum Intelligence
Operationalizing the Benefit of Information Radiators from an Awareness Point of View
Collision Avoidance Using Deep Learning-Based Monocular Vision
Air Writing: Recognizing Multi-Digit Numeral String Traced in Air Using RNN-LSTM Architecture
Comparative Analysis of Machine Learning, Ensemble Learning and Deep Learning Classifiers for Parkinson's Disease Detection
Introduction to the Special Issue on the French-Polish Collaboration in Mathematical Models of Computer Systems, Networks and Bioinformatics
Variable Neighborhood Search Based Human Learning Optimization Algorithm for Secure Data Analysis and Computing
Advancing Violence Detection with Graph-Based Skeleton Motion Analysis
From Constricted Models to State-of-the-Art for Facial Expression Classification
Image Enhancement and Exposure Correction Using Convolutional Neural Network
Design and Implementation of Image Sensor Data Capture Based on FPGA
Convolutional Neural Network Based Deep Learning Approach of Polyphenol Content Prediction for Fresh Tea Leaves Using NIR Spectroscopy
Information Retrieval from Microblogs During Disasters: In the Light of IRMiDis Task
Fostering Digital Media-Realted Competences of Student Teachers
Deciphering Stem Cell Fate with an Integrative Multi-Omics Examination of Microenvironmental Dynamics
Exploring the Landscape of IoT Ransomware Prediction Through Machine Learning Techniques: A Comprehensive Survey
Single Modality and Joint Fusion for Emotion Recognition on RAVDESS Dataset
Implicit Feedback Awareness for Session Based Recommendation in E-Commerce
A Novel Hybrid Resampling Approach to Address Class-Imbalanced Issues
Improved Memory Type Product Estimator for Population Mean in Stratified Random Sampling Under Linear Cost Function
Enhancing and Evaluating the Product Fuzzy DPLL Solver
Directional Prediction of Financial Time Series Using SVM and Wilson Loop Perceptron
Multiple Teacher Knowledge Distillation for Head Pose Estimation Without Keypoints
Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving
An Empirical Evaluation of Ensemble Strategies in Habitat Suitability Modeling
Enhanced Berth Allocation Using the Cuckoo Search Algorithm
Lending by Algorithm: Fair or Flawed? An Information-Theoretic View of Credit Decision Pipelines
Real-time Machine Vision System for the Visually Impaired
Flexible Example-Based Program Synthesis on Tree-Structured Function Compositions
Taguchi Design for Setting EHO Variants Parameters: Application in Brain Image Segmentation Using HMRF
A Detailed Review on Blockchain and Its Applications
Medical Provider Embeddings for Healthcare Fraud Detection
Clustering Algorithm of Density Difference Optimized by Mixed Teaching and Learning
Object Detector Differences when Using Synthetic and Real Training Data
GeoVigilance Labs: An AI-Enabled System for Automated Land Use Monitoring
Enhanced Intrusion Detection with Advanced Deep Features and Ensemble Classifier Techniques
Correction to: Adaptive Fuzzy-Logic Traffic Control Approach Based on Volunteer IoT Agent Mechanism
An IoT Cloud Security System Powered by Blockchain for Secure Preservation of Electronic Health Records
Multi-dilation Convolutional Neural Network for Automatic Handwritten Signature Verification
Forecasting the Spread of COVID-19 Using Deep Learning and Big Data Analytics Methods
Low-Cost Biomechanical System for the Evaluation of Parkinson's
Analyzing and Comparing Omicron Lineage Variants Protein-Protein Interaction Network Using Centrality Measure
Improved Sparse Coded Features for Automatic Identification and Discrimination of Exudates and Drusen in Retinal Fundus Images
Print Spoof Detection with HSI Space: Performance Evaluation with Color Scatter and GLCM Measures
Remodified Dual-CLCG Method and Its VLSI Architecture for Pseudorandom Bit Generation
Advanced Spatio-Temporal Froth Analysis Using Smart Soft Sensors in Mineral Processing
Noise Robust Audio Spoof Detection Using Hybrid Feature Extraction and LCNN
Handwritten Digit Recognition Using Bayesian ResNet
On the Performance Analyses of a Modified Force Field Algorithm and Neural Network Approach for Obstacle Avoidance in Swarm Robotics
Lessons Learned from a Comparative Analysis of Counterintelligence and Insider Threat Mitigation Case Studies in Nuclear Facilities
Design and Implementation of Enhanced Security Algorithm for Hybrid Cloud using Kerberos
Effective Hierarchical Text Classification with Large Language Models
Ensemble of CheXNet and VGG-19 Feature Extractor with Random Forest Classifier for Pediatric Pneumonia Detection
A Probabilistic Particle Tracking Framework for Guided and Brownian Motion Systems with High Particle Densities
Blockchain for Securing Data Storage in Digital Banking Services
Smart Steering Wheel for Improving Driver's Safety Using Internet of Things
Enhancing Warning, Situational Awareness, Assessment and Education in Managing Emergency: Case Study of COVID-19
Fine-Tuned T5 Transformer with LSTM and Spider Monkey Optimizer for Redundancy Reduction in Automatic Question Generation
Diabetes Estimation Through Data Mining Using Optimization, Clustering, and Secure Cloud Storage Strategies
Application of a Novel Meta-heuristic Optimization Algorithm for Solar PV Module MPPT Tracking Under the Influence of Environmental Conditions
A Hybrid CNN-LSTM Model for Transaction Fee Forecasting in Post EIP-1559 Ethereum
Machine Learning-Based Automatic Text Summarization Techniques
On the Discovery of Frequent Gradual Patterns: A Symbolic AI-Based Framework
Advanced Hybrid Reasoning and Transfer Learning on Multimodal Data with Transformers
Generalization of Logistic Regression to Improve Prediction: An Application on Training and Placement Data
HmBlogs: A Comprehensive Corpus and Benchmarking Study for Persian Word Embedding and Language Modeling
iPassGen: Enhancing Password Security Through Breach Analysis and Intelligent Passphrase Generation
Integrated Speed Harmonization and Platooning of Connected Automated Vehicles: Model Development and Large-Scale System Evaluation
A Brain Tumor Segmentation and Detection Technique Based on Birch and Marker Watershed
A Metric-Driven Approach for Enhancing Scientific Audiovisual Interfaces
Panthera Leo Optimized Multilayer Feed Forward Learning-Based Intrusion Detection Model for Cloud
Deep Attention Network for Enhanced Hand Gesture Recognition System
Hybrid Access Control Model for IoT Environments: Formalization and Verification Using Timed Automata
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories
A New Study for Metaverse Learning and Technology Acceptance for Commercial Exhibitions
Energy-Aware Reliable Medium Access Control Protocol for Energy-Efficient and Reliable Data Communication in Wireless Sensor Networks
Improved Watershed Segmentation and DualNet Deep Learning Classifiers for Breast Cancer Classification
Streamlining Task Planning Systems for Improved Enactment in Contemporary Computing Surroundings
On Hypergraph Neural Networks and Their Stability Towards Higher-Order Knowledge Representation and Learning
Full Non-Binary Constant-Weight Codes
Hybrid LSTM-Graph Convolutional Neural Network with Wavelet Transform and Correlation Analysis for Electrical Demand Forecasting
A Big Data Based Method for Pass Rates Optimization in Mathematics University Lower Division Courses
Multi-objective Based Route Selection Approach Using AOMDV in MANET
Correction: Model‑Free Predictor of Signal‑to‑Noise Ratios for Mobile Communications Systems
A Solution to Query Processing Challenges Through Smart Query Processor for Big Data Analytics
Integrating a Rule-Based Approach to Malware Detection with an LSTM-Based Feature Selection Technique
Strengthening KMS Security with Advanced Cryptography, Machine Learning, Deep Learning, and IoT Technologies
Automatic Breast Tumor Classification in Ultrasound Images Using Morphological Features and New Texture Analysis Based on Image Visibility Graph and Gabor Filters
Real-Time Detection of Dictionary DGA Network Traffic Using Deep Learning
Contrastive Metric Learning for Lithium Super-ionic Conductor Screening
Litter Detection from Digital Images Using Deep Learning
Hybrid Hopfield Neural Network
A Novel Approach to Steganography Security: Embedding Encrypted Text in Color Images Using Langton's Ant Cellular Automaton and Hybrid Chaotic Map
Medical Image Encryption Method Using Cubic-Sin-Logistic-Tent Chaotic Pseudo-Random Number Sequence-Based Substitution
Classification for the Concrete Syntax of Graph-Like Modeling Languages
Plutchik Wheel of Emotion and Machine Learning-Based Hybrid Sentiment Analysis for the Hindi Language with Minimum Dependency on High Computation Resources
Robust Adversarial Defense: An Analysis on Use of Auto-Inpainting
Dynamic Route Management for Secure Data Aggregation in Duty-Cycled Mobile Sink-Based WSNs
Decision Tree Ensemble Approach for Recidivism Risk Classification Among Heinous Crime Convicts
Almost: Predicting "Natural" Sequences
EEG Datasets in Machine Learning Applications of Epilepsy Diagnosis and Seizure Detection
Intrusion Detection and Prevention in OpenStack: A Case Study on Enhancing Security and Threat Detection
A Context-Aware Security Framework for VANETs Integrating Intrusion Detection and Traffic Pattern Analysis
CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19
Parallel Flexible Heuristic Miner for Process Discovery
Particle Swarm Optimization for Finding Maximum Independent Set
Testing Stream Programs from Pre/Post-models
Isochronous Temporal Metric for Neighbourhood Analysis in Classification Tasks
A Comprehensive Review on Deep Learning Techniques on Cyber Attacks on Cyber Physical Systems
Online Learning for Older Adults: Teachers' Transition During the Pandemic in Taiwan
Visual and Positioning Information Fusion Towards Urban Place Recognition
Speed Bump Detection Through Inertial Sensors and Deep Learning in a Multi-contextual Analysis
Exploring Firmware-Based Anti-forensics in IoT Devices: Techniques and Implications
IoT Data Classifications for Smart Home Deployment
Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events
A Churn-Tolerant P2P CDN at the Edge for Video Content Delivery
Diagnosis of Coronavirus Disease From Chest X-Ray Images Using DenseNet-169 Architecture
Dual-Phase Regressive Deep Neural MapReduce Classifier for Scalable and Accurate Diabetic Prediction
Automatic Semantic Segmentation and Classification of Remote Sensing Image Data for Flood Detection Using Novel LSTM Neural Network
A Survey on Machine Learning Techniques for Heart Disease Prediction
Smart Checkpoint Management System for Automatic Number Plate Recognition in Bhutan Vehicles Using OCR Technique
Driver Safety Development: Real-Time Driver Drowsiness Detection System Based on Convolutional Neural Network
Unveiling Marketing Potential: Harnessing Advanced Analytics and Machine Learning for Gold Membership Strategy Optimization in a Superstore
A New QUBO Objective Function for Solving the Maximum Common Subgraph Isomorphism Problem Via Quantum Annealing
Dark Web Traffic Analysis of Cybersecurity Threats Through South African Internet Protocol Address Space
Heart Sound Classification Using Ensemble-Learning and Multi-Feature Representations
Plant Leaf Disease Classification Using Optimal Tuned Hybrid LSTM-CNN Model
Impact of Generative Artificial Intelligence Systems on Higher Education in India - A Delphi Study
Design and Development of Artificial Intelligence Framework to Forecast the Security Index Direction and Value in Fusion with Sentiment Analysis of Financial News
Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study
Dynamic Traffic Optimization in Smart Cities (DTOS): Integrating OpenStreetMap, IoT, and Fog Computing