yusuke1997/dblp-id-title huggingface dataset:
Facial Expression Recognition Using Machine Learning and Deep Learning Techniques: A Systematic Review
Leveraging Ensemble Model and Optimized Feature Selection to Boost Prediction Accuracy in Educational Data Mining
A Comprehensive Survey of COVID-19 Detection Using Medical Images
Boosting Classification Reliability of NLP Transformer Models in the Long Run - Challenges of Time in Opinion Prediction Regarding COVID-19 Vaccine
A Corpus-Based Auto-encoder-and-Decoder Machine Translation Using Deep Neural Network for Translation from English to Telugu Language
Design and Development of a Humanoid Robot for Sign Language Interpretation
JMCD Dataset for Brain Tumor Detection and Analysis Using Explainable Deep Learning
Detection of Heart Abnormality with Stethoscope Sounds
Tag-Extended Collaborative Filtering Recommendation Algorithm
An Experimental Approach to Detect Forest Fire Using Machine Learning Mathematical Models and IoT
A Comprehensive Survey of Recent Approaches on Microarray Image Data
A Deep Learning Framework for Microarchitecture Independent Workload Characterization Technique for Multi-core Asymmetric Embedded Systems
The Double-Edged Sword of Equal Eigenvalues in Correlation Matrices: Challenges in Financial Risk Management and Opportunities in Psychometric Analysis
Bridging Reality and Synthetics: Optimizing Image Classification with Hybrid AI-Generated and Real-World Datasets
Optimal Selection of Frequency Band and Wavelet Scattering for Feature Extraction in Multi-class EEG Classification
Occlusion Avoidance for Robotic Manipulators Using Rigid Gaussian Splatting
LearnAlytics: The Smart Way to Analyze, Adapt, and Achieve in E-Learning
Enhancing Blood Platelet Counting through Deep Learning Models for Advanced Diagnostics
REML: An Efficient Algorithm to Enhance Precision and Reliability of Bearing Fault Detection in Complex Industrial IoT Systems
A Deep Learning Based Approach for Biomedical Named Entity Recognition Using Multitasking Transfer Learning with BiLSTM, BERT and CRF
A Review on Progress in Semantic Image Segmentation and Its Application to Medical Images
Exploring DeepDream and XAI Representations for Classifying Histological Images
Fingerprint Recognition Model Using Improved Firebug Swarm Optimization and tanh-Based Fuzzy Activated Neural Network
Neural Networks and the Nonlinear Feynman-Kac Theorem Applied to Financial Options Pricing
Assessment of Dose-Reduction Strategies in Wavelength-Selective Neutron Tomography
Bio-inspired Computing Techniques for Data Security Challenges and Controls
Identification of Fake News Using Deep Neural Network-Based Hybrid Model
Development of a Filipinized Learning Management System
Enhancing COVID-19 Diagnosis Accuracy and Transparency with Explainable Artificial Intelligence (XAI) Techniques
Real-World Asset Identity Authentication in Blockchain Enabled Inter-Organizational Process-Aware Systems Involving Adjustable Challenge-Response Evaluation Sets
Classification of Malware from the Network Traffic Using Hybrid and Deep Learning Based Approach
PoseAnalyser: A Survey on Human Pose Estimation
Traffic and Pollution Modelling for Air Quality Awareness: An Experience in the City of Zaragoza
Development of Estimation Techniques for Solar Radiation, NDVI and Net Primary Productivity
Optimized Hybrid Model for COVID-19 Vaccine Sentiment Analysis for Hindi Text
Enhancing PM 2.5 Air Pollution Forecasting with Novel Random Imputation Based on Hybrid RNN-Bidirectional GRU (nRI RNN-BiGRU) Model
Artificial Intelligence-based Learning Techniques for Diabetes Prediction: Challenges and Systematic Review
Application of Machine Learning Algorithms for Detection of Vulnerability in Web Applications
Developing Hindi Stammering Corpus: Framework and Insights
Estimating Similarity for Grading Descriptive Handwritten Answers
Classification and Understanding of Cloud Structures via Satellite Images with EfficientUNet
Semi-Supervised Learning to Enhance Speech Signal for Mobile Communication
Anomaly Detection in Surveillance Scenes Using Autoencoders
Object Recognition from Scientific Document Based on Compartment and Text Blocks Refinement Framework
Selective Weighting and Prediction Error Expansion for High-Fidelity Images
Single-Trace Side-Channel Attacks on NTRU Implementation
A Pattern Driven Approach to Knowledge Representation in the Disaster Domain
Docimological Quality Analysis of LLM-Generated Multiple Choice Questions in Computer Science and Medicine
Gated Graph Neural Networks with Attention for Abstractive Summarization of Scientific Documents
Aggregate Plant Species Categorization with Deep CNN Based Positional Encoded Cross Attentional Mechanism
Sea State Estimation from Uncalibrated, Monoscopic Video
A Smart Glove for Visually Impaired People Who Attend to the Elections
A Novel Deep Learning Framework Approach for Sugarcane Disease Detection
A Novel Semi-Supervised Learning for Industrial Edge Computing Platforms in Quality Prediction
Enhancing Software Fault Prediction Using Swarm Intelligence and Deep Learning Approach: Optimizing Accuracy and Robustness
Automated Question Generation with Fine-Tuned NLP Model Based on Revised Bloom's Taxonomy
Printed Energy Harvesting Electrodes: Sustainable Power Solutions for Batteryless Smart Diapers
Parameter Estimation of Proton Exchange Membrane Fuel Cell Model Using Chaotic Embedded Particle Swarm Optimization Technique
DeepCov: Effective Prediction Model of COVID-19 Using CNN Algorithm
Performing Distributed Quantum Calculations in a Multi-cloud Architecture Secured by the Quantum Key Distribution Protocol
Databases for Iris Biometric Systems: A Survey
TLBS-IDS: A New Hybrid Network Intrusion Detection System for Imbalanced Dataset in a Higher Education Setting
AutoAlias: Automatic Variable-Precision Alias Analysis for Object-Oriented Programs
Route Planning Service for Emergency Vehicles with Increased Accuracy and Efficiency for Online Platforms
Designing Lightweight Multimodal Models for Real-Time Fake News Classification
Maximizing Performance in Wireless Mobile Ad-Hoc Networks Through Unconventional Routing Strategies
Improved Auditory-Inspired Signal Processing Algorithm Design for Tracking Multiple Frequency Components
SmartGuard: Verifying Safety and Compliance of Ethereum Smart Contracts
Enhancing Reliability and Resilience in AC/DC Hybrid Microgrids: A Unified Fault Detection and Control Approach with Optimized-Tuned PI Controller for UPQC
Correction: Extraction of Semantic Links from a Document-Oriented NoSQL Database
P3IDF-EC: PCA-Based Privacy-Preserving Intrusion Detection Framework for Edge Computing
Sparse Representation based Super-Resolution of MRI Images with Non-Local Total Variation Regularization
A Canonical String Encoding for Pure Bigraphs
Lie Commutator Based Energy Efficient Data Gathering Protocol in WSN for Industrial Automation
Novel Feynman-Based Reversible and Fault-Tolerant Nano-communication Arithmetic Architecture Based on QCA Technology
Critical Analysis of Train Operation Simulators
Energy-Proficient Cluster Enrichment in Wireless Sensor Networks via Categorized Fuzzy Clustering and Multi-Hop Routing Optimization
Detecting Semantic Clones in Microservices Using Components
Machine Learning-Assisted Vehicle Collision Detection Model (MLVCDM) for Road Intersections
Backpropagation Shuffled Leaping Neural Network Implementation in Classification of DDoS Packet Flow Traffic in Data Mining
Research on Selective Combination of Distributed Machine Learning Models
A Novel Enhanced Approach for Security and Privacy Preserving in IoT Devices with Federal Learning Technique
Fast Hashing to ${\mathbb {G}}_{2}$ on Aurifeuillean Pairing-Friendly Elliptic Curves
End-to-End Deep Networks with Hierarchical Attention and Capsule Capabilities for Misinformation Detection on Microblogging Platforms
Unveiling Augmented Reality Applications: Exploring Influential Factors Through Comprehensive Review
Optimization of ICT Street Infrastructure in Smart Cities
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning
Mining the Human Networks and Identification of Group Activities Using the Crime Scraping Engine
An Improved and Effective Approach for User Attention in the IoT Through the Hybrid Lightweight Security Framework (HLSF) with Data Mining
Optimizing Cloud Resource Utilization with ANN-Based VM Placement and Prediction
Automatic Cauliflower Disease Detection Using Fine-Tuning Transfer Learning Approach
Fraud Detection Using Machine Learning and Deep Learning
Adaptive Mesh Physics Informed Neural Networks Technique for Anomalous Diffusion Equation on a Thin Circular Plate
Haar Wavelet-Based Fusion of Multiple Exposure Images for High Dynamic Range Imaging
Improving the Network Life Time in Smart Grid Sensor Nodes by Considering Nodes Usage
Sarcasm Detection and Classification in Kannada Language Using Machine Learning Techniques on a Manually Annotated Dataset
Fast Sobel Edge Detection for IoT Edge Devices
A Resourceful Energy Management and Improved Security in Wireless Sensor Networks by Optimized Energy-Based Security Prototype
Optimizing Dragon Fruit Quality and Maturity Classification Through Deep Learning Techniques
Retraction Note: Multi-UAV Networks for Disaster Monitoring: Challenges and Opportunities from a Network Perspective
Neural Network-Based Human Motion Predictor and Smoother
Particle Swarm Optimisation Variants and Its Hybridisation Ratios for Generating Cost-Effective Educational Course Timetables
A Flexible Tool for Estimating Applications Performance and Energy Consumption Through Static Analysis
Prediction of Maximum Combustion Efficiency and Thrust Force of DLR Scramjet Engine Using ANN Models
Reconstructing Three-Dimensional Bluff Body Wake from Sectional Flow Fields with Convolutional Neural Networks
Characterizing a Time-Memory Tradeoff Against PudgyTurtle
Scheduling Computing Tasks on Smartphones: Comparative Case Studies of Metaheuristic Algorithms on Real World Applications
A Critical Study on Suspicious Object Detection with Images and Videos Using Machine Learning Techniques
Histopathological Image Synthesis with Generative Adversarial Networks for Nuclei Segmentation
Continuous Machine Learning for Assisting AR Indoor Navigation
Optimized and Deep Cross Dense Skip Connected Network for SISR (DCDSCN)
An Enhanced RNN-LSTM Model for Fundus Image Classification to Diagnose Glaucoma
Evolutionary Multi-Objective Optimization Algorithm for Community Detection in Complex Social Networks
Energy-QoS-Aware Data Communication and Optimal Path Selection in Software-Defined Networks Using EOMBA and IBSO
Estimating Time-To-Compromise for Industrial Control System Attack Techniques Through Vulnerability Data
Anomaly Detection in Smart Houses for Healthcare
Hybrid Optimization and Ensemble Deep Learning Framework for Efficient Anomaly-Based Intrusion Detection in IoT Networks
Symbolic ltl f Synthesis: A Unified Approach for Synthesizing Winning, Dominant, and Best-Effort Strategies
Evolutionary Touch Filter Chain Calibration
Voice Privacy Using Time-Scale and Pitch Modification
Executing Ad-Hoc Queries on Large Geospatial Data Sets Without Acceleration Structures
Supporting the Integration of Privacy-Enhancing Technologies into the Software Development Life Cycle
Supervised Deep Learning Vector Quantization to Detect MemCached DDOS Malware Attack on Cloud
A Semantic Enhanced Course Recommender System via Knowledge Graphs for Limited User Information Scenarios
Conception and Evaluation of Secure Circuits for Strong Digital PUF
An Approach for Efficient and Secure Data Encryption Scheme for Spatial Data
Comparative Analysis of Different Classification Techniques
Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review
Fostering a Thriving Virtual Organizational Culture: The Development of Metrics for Ten Soft Skills in the Case of XSEDE
A Comparative Algorithmic Stratification to Identify Impact of Brain Tumor on Substantia Nigra in Humans
Multimodal Biometric Authentication with Two-layer Hybrid Template Security
Offsets Reconstruction Method for Clock Skew Measurement Over High-Jitter Communication
The Human Digi-real Duality
An Optimized Approach for Data Spread in Cramming Free Traffic Flow of Wireless Sensor Network Based on Packet Priority Intimation
Intelligent and Secure Evolved Framework for Vaccine Supply Chain Management Using Machine Learning and Blockchain
Triple Tier Framework for Intellectual Edge Assisted Multicontroller Load Balancing in SDN
A Survey of Cyberbullying Detection and Performance: Its Impact in Social Media Using Artificial Intelligence
Parallelized Training of Restricted Boltzmann Machines Using Markov-Chain Monte Carlo Methods
Machine Learning Opportunities in Flight Test: Preflight Checks
Finding Expected Revenue of Open HM-Network with Limited Waiting Time and Unreliable Queueing Systems
Evaluation and Validation Process of Extended Reality Applications Developed in an Industrial Context: A Systematic Review
Spatiotemporal Analysis of the Seasonal Distribution of Precipitation and its Relationship with ENSO 2015 in Argentina, Chile and Uruguay (1980-2015)
Comparative Analysis of Translation Systems from Indian Languages to Indian Sign Language
Predicting Violent Extremism with Machine Learning: A Scoping Review
Large Language Models Acing Chartered Accountancy
Hybrid Machine Learning Classifier and Ensemble Techniques to Detect Parkinson's Disease Patients
Imprecise Probabilistic Model Checking for Stochastic Multi-agent Systems
Cybersecurity in Universities: An Evaluation Model
Prediction and Analysis of Air Pollution Using Machine Learning
Autoencoder- Based Multistage Strategy for Class Imbalance in Medical Imaging Analysis - Chest X-rays
Feature Selection of Multi-class Data Sets Based on Enhanced Binary Gray Wolf Algorithm and Ant Colony Optimization Algorithm
Frame Selection Using Spatiotemporal Dynamics and Key Features as Input Pre-processing for Video Super-Resolution Models
Performance Evaluation of Biometric Authentication Using Fragment Jaya Optimizer-Based Deep CNN with Multi-kernel SVM
MRI-Based Biomarker in the Diagnosis of Alzheimer's Disease Using Attention-UNet
PLVS-Net: a Parallel Left Ventricle Segmentation Network for Clinical Indices Measurement in 2D Echocardiography
Cancer Prognosis Using Artificial Intelligence-Based Techniques
Micro-YOLO+: Searching Optimal Methods for Compressing Object Detection Model Based on Speed, Size, Cost, and Accuracy
Automated Personality Analysis from Handwriting: A Systematic Survey
Intelligent Trust Classification for Social Internet of Things Using Centrality Feed Forward Networks
Bornon: Bengali Image Captioning with Transformer-Based Deep Learning Approach
An WiFi CSI Signal Enhancement Framework For Activity Recognition Using Machine Learning Automatic Segmentation
A Sensor Ranking Approach for Edge-Fog-Cloud Environments
Review of Chaos Detection Techniques Performed on Chaotic Maps and Systems in Image Encryption
Application of Deep Learning for Code Smell Detection: Challenges and Opportunities
Graph Neural Networks with Transformer for Sequential Recommendation
Survey on Segmentation and Recognition of Handwritten Arabic Script
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models
Web Similarity in Sets of Search Terms Using Database Queries
Collective Information About the Data for Data Analytics
A Comprehensive Analysis of Speech Recognition Systems in Healthcare: Current Research Challenges and Future Prospects
E-Sports Player Performance Metrics for Predicting the Outcome of League of Legends Matches Considering Player Roles
Stacking-Based Ensemble Framework and Feature Selection Technique for the Detection of Breast Cancer
An Overview of Techniques for Obfuscated Android Malware Detection
Projectional Editing of Software Product Lines Using Multi-variant Model Editors
What Ails Cyber Insurance? An Analysis of Barriers and Drivers Using Fuzzy TOPSIS Method
Polyhouse Agriculture with AI: Strategies for Climate Control, Energy Efficiency and Yield Improvement
Multi-Faceted Reinforcement Learning Frameworks for Dynamic Cluster Head Selection and Energy-Efficient Routing in Wireless Sensor Networks
Deep Learning Methods for Chest Disease Detection Using Radiography Images
Data-Driven Soft Sensor Model Based on Deep Learning for Quality Prediction of Industrial Processes
Investigating Malware Propagation and Behaviour Using System and Network Pixel-Based Visualisation
A Lightweight Low-Power Model for the Detection of Plant Leaf Diseases
Correction: Technology-Enabled Institutional Readiness for Agile-Blended Learning: A Framework for Educational Innovation
Monitoring Large Scale Production Processes Using a Rule-Based Visualization Recommendation System
Qurzon: A Prototype for a Divide and Conquer-Based Quantum Compiler for Distributed Quantum Systems
A Novel Framework for Detection of Harmful Snakes Using YOLO Algorithm
An Operative Medical Angio-Image Improvement with Adaptive Fractional Differential Filter
Enhancing Intrusion Detection System Performance to Detect Attacks on Edge of Things
Spatial-Spectral Deep Residual Network for Hyperspectral Image Super-Resolution
Optimized Convolutional Neural Network Using Hierarchical Particle Swarm Optimization for Sensor Based Human Activity Recognition
Fine-Tuning Transformer-Based Representations in Active Learning for Labelling Crisis Dataset of Tweets
Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges
An Adaptive Thresholding-Based Movement Epenthesis Detection Technique Using Hybrid Feature Set for Continuous Fingerspelling Recognition
Traditional Machine Learning and Deep Learning Modeling for Legume Species Recognition
DPDR: A Novel Machine Learning Method for the Decision Process for Dimensionality Reduction
Detection and Recommendation System for Autistic Children Using Machine Learning
BACTmobile: A Smart Blood Alcohol Concentration Tracking Mechanism for Smart Vehicles in Healthcare CPS Framework
A Comprehensive Analysis of Indian Legal Documents Summarization Techniques
Hydropathy and Conformational Similarity-Based Distributed Representation of Protein Sequences for Properties Prediction
Exploring Enhancing Pattern Recognition Techniques for Urdu Handwritten Text: A MANUU Dataset Perspective
Using Reinforcement Learning for Generating Polynomial Models to Explain Complex Data
Cognitive Reading and Character Recognition in Image Processing Techniques
Screening of COVID-19 Based on GLCM Features from CT Images Using Machine Learning Classifiers
Diversity Question Generation with Desired Information Selection and Training Data Augment
Deep Learning for Detecting Mental Disorder from User Content on Social Media
A Comprehensive Analysis on Various Deep Learning Techniques for Malware Detection in Android Mobile Devices
A Novel Methodology for Blockchain Traceable Food Supply Chain Based on the Composite Control Adaptive Neuro Fuzzy Inference System Technique
DepML: An Efficient Machine Learning-Based MDD Detection System in IoMT Framework
Pistol: Pupil Invisible Supportive Tool in the Wild
Probabilistic Analysis and Optimization of Packet Losses in Dense LoRa Networks
Intelligent Chat Conversation and Dialogue Management for Gujarati Dialogue
Enhancing Security and Transparency in Online Voting through Blockchain Decentralization
Property Constrained Video Summarization via Regret Minimization
Emotion Recognition System via Facial Expressions and Speech Using Machine Learning and Deep Learning Techniques
Energy Community Resilience Improvement Through a Storage System
Advanced Implementation of Convolutional Neural Networks for Alzheimer's Diseases Diagnosis
Unsupervised Learning Based Capacity Augmentation in SDN Assisted Wireless Networks
Effects of Facial Biometric System at Universidad Técnica del Norte, Ecuador: An Analysis Using the Technology Acceptance Model (TAM)
Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis
AProVer Front-End Modelling Language for Designing Security Protocols
Infinitesimal Probabilities Based on Grossone
Sentiment Analysis and Comprehensive Evaluation of Supervised Machine Learning Models Using Twitter Data on Russia-Ukraine War
Bio-Inspired Optimization Algorithm in Machine Learning and Practical Applications
Analysis of Urbanization Impact on Land Surface Temperature Variability by Using Landsat Imagery
Evolutionary Optimization of Convolutional Extreme Learning Machine for Remaining Useful Life Prediction
Intercropping System Optimization Using Python-Based Goal and Fuzzy Goal Programming
Synthesis of Parallel Software from Heterogeneous Dataflow Models
A System Review on Fraudulent Website Detection Using Machine Learning Technique
Generalized Formal Model-Verifier: A Formal Approach for Verifying Static Models
A Hybrid Technique to Re-establish Squat Contrast Underwater Images Centred on Principal Component Analysis
SecDocker: Hardening the Continuous Integration Workflow
Bridging the Gap: Assessing India's Digital Personal Data Protection Act in Light of the EU GDPR
Privacy-Preserved and Secured Communication Model via Two-Phase Authentication Process for VANET System
Development of a Statistical Model for Automated Ground Truth Generation in Low-Resource Languages
Photoplethysmography Bio-Signal Extraction for Classifying Diabetes Mellitus Diseases Using Pretrained Deep Learning Networks
ANTON: Activity Recognition-Based Smart Home Control System
Underpinning Performance Metrics Between a Winning and Losing Season in Division 1 Women's Basketball
Towards Safer Roads: A Comprehensive Review of Object Detection Techniques for Autonomous Vehicles
Improved QUBO Formulation of the Graph Isomorphism Problem
Super Resolution-Based Leaf Disease Detection in Potato Plant Using Broad Deep Residual Network (BDRN)
A Fast Parallelizable Algorithm for Constructing Balanced Binary Search Trees
An API Security Framework for IoT-Enabled Healthcare System with the Application Blockchain-Based Smart Contract
A Study on Brain-Computer Interface: Methods and Applications
Security Software Testing for Mobile Devices: An Updated Systematic Mapping Study
Supervised Machine Learning Approaches for Moving Object Tracking: A Survey
Intrusion Detection: A Comparison Study of Machine Learning Models Using Unbalanced Dataset
Deterministic Algorithm for Cloud Outsourced Data
Simulation and Analysis of a Chaos-Masking Communication Scheme Based on Electronic Simulator for Electro-Optic Modulator with Noise
Application of Artificial Neural Networks (ANN) in Investigating Travel Mode Choice: A Case Study of Langsa-Penang Passenger Ferry
Automatic Detection and Decryption of AES Using Dynamic Analysis
Artificial Intelligence-Based Ensemble Model for Rapid Prediction of Heart Disease
Fusion of Handcrafted and Deep-Learning Features for Brain Tumor Detection and Classification Using T1-Weighted Magnetic Resonance Images
A Smart Indoor Parking System
Arrhythmia Detection Using ECG-Based Classification with Prioritized Feature Subset Vector-Associated Generative Adversarial Network
A Fast Access Control Method in IoT Using XGB
Traceable Multi-view Model Integration: A Transformation Pipeline for Agile Production Systems Engineering
An Improved Bat Algorithm for Unequal Clustering in Heterogeneous Wireless Sensor Networks
Cybersecurity Resilience Maturity Assessment Model for Critical National Information Infrastructure
HGCNN-LSTM: A Data-driven Approach for Cyberattack Detection in Cyber-Physical Systems
Microscopic Analysis of Time Headway of Vehicles on Two-Lane Highways with Mixed Traffic
Mental Disorders Prognosis and Predictions Using Artificial Intelligence Techniques: a Comprehensive Study
Pancreatic Cancer Detection Using Radial Basis Neural Network
Optimizing Clustering in Wireless Sensor Networks: A Synergistic Approach Using Reinforcement Learning (RL) and Particle Swarm Optimization (PSO)
AlexNet Based Pirate Detection System
eSticky: An Advanced Remote Reminder System for People with Early Dementia
Personal Health Train Architecture with Dynamic Cloud Staging
An Efficient Vehicle Detection and Shadow Removal Using Gaussian Mixture Models with Blob Analysis for Machine Vision Application