yusuke1997/dblp-id-title huggingface dataset:
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis
Web-Based Interaction and Visualization of Spectral Reflectance Images: Application to Vegetation Inspection
Classification and Prediction of Driving Behaviour at a Traffic Intersection Using SVM and KNN
Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms
Colorectal Polyp Segmentation with Different Dataset Combinations
Intrusion Detection System in Industrial Cyber-Physical System Using Clustered Federated Learning
Drill-CODA: A Framework for Supporting Drill-Across Multidimensional Big Data Analytics Over Big Co-Occurrence Aggregate Hierarchical Data
Breast Cancer Detection and Classification from Mammogram Images Using Multi-model Shape Features
Impact of Insur-Tech on the Premium Performance of Insurance Business
Comparative Study of Segmentation Techniques for Basal Ganglia Detection Based on Positron Emission Tomography Images
Which Explanation Should be Selected: A Method Agnostic Model Class Reliance Explanation for Model and Explanation Multiplicity
MFAKES: A Method for Fake News Analysis in Healthcare Area Focusing on COVID-19
Pattern-Level Privacy Protection in Event-Based Systems
Smart Investigations into the Development of an Effective Computer-Assisted Diagnosis System for CT Scan Brain Depictions
Word Level Language Identification from Social Media Code-Mixed Data Leveraging Transformer-Based Models
Modelling of an Intelligent and Secured Image Retrieval Model by Employing Deep Belief Network
An Integrated Secure Efficient Computing Architecture for Embedded and Remote ECG Diagnosis
Speech Emotion Recognition Using Machine Learning: A Comparative Analysis
Exploring the Impact of Deep Learning Models on Lane Detection Through Semantic Segmentation
Activity Monitoring for ICU Patients Using Deep Learning and Image Processing
Deep Learning-Driven Framework for Tomato Disease Analysis: A Biotic and Abiotic Perspective with VGG19 and Inception
Episode of COVID-19 Telepsychiatry Session Key Origination Upon Swarm-Based Metaheuristic and Neural Perceptron Blend
Fog Computing Complete Review: Concepts, Trends, Architectures, Technologies, Simulators, Security Issues, Applications, and Open Research Fields
2LSS: A Two-layer Security Scheme Using the Crypto-steganography Approch to Enable High-Level Security for a Cloud Enviroment
Enhancing Pomegranate Agriculture: A Comparative Analysis of Yield Prediction Models Using Deep Learning
Comparing Artificial Intelligence Classification Models to Improve an Image Comparison System with User Inputs
Machine Learning Attacks and Countermeasures for PUF-Based IoT Edge Node Security
Farmer Query Answering System
An Operative Analysis of Influence on Human Physical Activities Using Ubiquitous Ambulatory Electrocardiogram
Feature Engineering and Ensemble Learning-Based Classification of VPN and Non-VPN-Based Network Traffic over Temporal Features
A Survey on Blockchain Technology Concepts, Applications, and Issues
An Empirical Study of GM4OS for Imbalanced Binary Classification
An Efficient and Secure Vehicular Networks Based on IoT and Cloud Computing
Performance-Driven Analysis for an Adaptive Car-Navigation Service on HPC Systems
Heterogeneous Multi-UAV Ad-Hoc Networks for Surveillance and Wireless Coverage in Challenging Terrain to Enhance Disaster Missions
An Attention Driven Retinal Classification Model for the Joint Grading of Diabetic Retinopathy and Macular Edema
The Effectiveness of E-Marketing on Marketing Performance in Jordanian Telecommunications Companies: Exploring the Mediating Role of the Competitive Environment
Decision Intelligence for Nationwide Ventilator Allocation During the COVID-19 Pandemic
Day-Ahead Traffic Flow Forecast Using LSTM and Cuckoo Search Optimization
Diabetic Retinopathy Prevention Using EfficientNetB3 Architecture and Fundus Photography
An Intelligent Wearable ECG Sensor in Intra-medical Virtual Chain Network and Inter-medical Virtual Chain Network
Optical Mark Recognition: Advances, Difficulties, and Limitations
Hand-Drawn Electrical Circuit Recognition Using Object Detection and Node Recognition
Patho-AI: A Perceptive Breast Cancer Identification and Classification Using Deep Learning Methods Integrated with Explainable AI
Scheduling System for Multiple Self-driving Cars Using K-Means and Bio-inspired Optimization Algorithms
FNSS: A Heuristics for Fog Node Site Selection
Robust Multi-Dialect End-to-End ASR Model Jointly with Beam Search Threshold Pruning and LLM
A Robust Deep Features Enabled Touchless 3D-Fingerprint Classification System
CFA-ASA: An Adaptive Hybrid Feature Selection Approach for Thyroid Disease Prediction
Energy-Aware Framework for Assessing Cryptographic Algorithms in Wireless Sensor Networks
A Polynomial Algorithm for Solving the Closest Vector Problem in Tensored Root Lattices of Type D
Graph Embeddings for Abusive Language Detection
BB-CSP: An Efficient Blockchain-Based Collective Salary Payment Framework Using Weighted Functional Encryption
Design and Implementation of Smart Manufacturing Systems Through AR for Data-Driven Digital Twin System
A Survey on Convolutional Neural Network (Deep-Learning Technique) -Based Lung Cancer Detection
Efficient Data Sensing Algorithm with Generalized Cascaded Chaotic Maps for Secure Cognitive Radio in 5G Networks
Datasets in Vehicular Communication Systems: A Review of Current Trends and Future Prospects
DCP-ResNet-Based Framework for Hyperspectral Fruit Quality Estimation
Ortho-Monitorizer: A Portable Device to Monitor Pressure and Temperature During the Use of Upper Limb Orthoses
Tunnel Vision Hypothesis: Cognitive Factor Affecting Crowd Evacuation Decisions
Integration of Discriminative Information from Expressive and Neutral Face Image for Effective Modelling of Facial Expression Classification Problem
Secure Model for Dynamic Access Control and Unreliable Access Point Detection: Enhancing QoS Through SDN in Wireless Networks
Edge-Preserving Single Remote-Sensing Image Super-resolution Using Sparse Representations
An Efficient Model on AIoT Devices for Trash Classification Applications
A Review of Graph-Based Models for Entity-Oriented Search
Performance Counters and DWT Enabled Control Flow Integrity
NeuroProbe: A Performance Profiling Feed Forward Neural Network Simulator for Hardware Interaction Analysis
Impact of COVID-19 on Public Transportation and Road Safety in Bangladesh
Strup: Stress-Based Trust Prediction in Weighted Sign Networks
Dynamic Resource Management for Machine Learning Pipeline Workloads
An Efficient Tactic for Analysis and Evaluation of Malware Dump File Using the Volatility Tool
NL2Vis Transformed: From Linguistic Abstraction to Visual Specification in the Generative AI Era
Reviewing Image Data: Detecting Forgery Using a Robust Forensic Method
MSMT-CNN for Solar Active Region Detection with Multi-Spectral Analysis
An Efficient Unique Tokenized Authentication Technique Based Data Offloading Approach Using Key Exchange to Maintain Data Integrity in Heterogeneous Networks
Enhancing Video Anomaly Detection Using Spatio-Temporal Autoencoders and Convolutional LSTM Networks
Multi-domain Attention Fusion Network For Language Recognition
Forecasting Election Polls with Spin Systems
IAN-BERT: Combining Post-trained BERT with Interactive Attention Network for Aspect-Based Sentiment Analysis
Privacy and Trustworthiness in Healthcare: A Blockchain and Attribute Based Access Control Integrated Approach
Scalable Telehealth Services to Combat Novel Coronavirus (COVID-19) Pandemic
Investigation of Cybersecurity Attacks and Threats on Cloud Using Black Widow Algorithm with Recurrent Neural Network
Time-Series Prediction for the Epidemic Trends of COVID-19 Using Conditional Generative Adversarial Networks Regression on Country-Wise Case Studies
Stress Level Classification Using Multimodal Deep Learning and Physiological Signal Analysis
Review on LiDAR-Based Navigation Systems for the Visually Impaired
PAZHVAK: a Word-Level Farsi Speech Corpus by University of Hormozgan
Neuroadaptive Incentivization in Healthcare using Blockchain and IoT
Classification of Crop Across Heterogeneous Landscape Through Experienced Artificial Bee Colony
Design and Implementation of an Efficient Sierpinski Carpet Fractal Antenna for 2.45 GHZ Applications
Melanoma Skin Cancer Detection and Classification Using Deep Learning and Image Processing
Performance Analysis of Automatic Integrated Long-Range RFID and Webcam System
New Approach to Enhancing Student Performance Prediction Using Machine Learning Techniques and Clickstream Data in Virtual Learning Environments
Towards an Automated Classification of Software Libraries
Evaluating Testing and Use of Photometric Stereo Applications for Riblet Inspection
Secure Electronic Health Record Storage and Retreival Using Blockchain and Encryption for Healthcare Application
A Survey on the Current Challenges of Energy-Efficient Cloud Resources Management
Time Series Manufacturing Data Edge Monitoring and Visualization to Support Industrial Maintenance Teams
Computer Science Students' Perceptions of Emergency Remote Teaching: An Experience Report
Learning to See: Using Mixed or Methods to Model Radiology Staff Workload and Support Decision Making in CT
A Reliable Client Detection System during Load Balancing for Multi-tenant Cloud Environment
Optimizing the Selection of Base Learners for Multiple Classifier System in Liver Cancer Identification Using Contribution-based Iterative Removal Algorithm
Framework for Lightweight Deep Learning Model Using YOLOv5 for Arecanut Grade Assessment
Applications of Named Entity Recognition Using Graph Convolution Network
A Survey on Cloud Computing Simulation and Modeling
A Blockchain-based Decentralized Electronic Marketplace for Computing Resources
A Study on Experimental Analysis of Best Fit Machine Learning Approach for Smart Agriculture
GAN-Driven Liver Tumor Segmentation: Enhancing Accuracy in Biomedical Imaging
Multispectral Satellite Data Classification Using Rank Correlation Similarity Index and Automatic Labeling Technique
A Study of Deep Learning-Based Approaches for Session-Based Recommendation Systems
Design and Implementation of Low-Cost Smart Home System with Sensor Multiplexing
Classification of Breast Cancer Diagnosis Systems Using Artificial Intelligence Techniques: Survey
A Novel Deep Learning Approach for Identifying Interstitial Lung Diseases from HRCT Images
Protein Sequence Classification Using Bidirectional Encoder Representations from Transformers (BERT) Approach
Statistical Inference on the Shannon and Rényi Entropy Measures of Generalized Exponential Distribution Under the Progressive Censoring
Optimal Paths with Impact on a Constraint System: An Application to the 1-Request Insertion for the Pickup and Delivery Problem with Transfers
Adaptive Image Steganography Using Rotating Color Channels and Inverted LSB Substitution
Improved Hybrid Intelligent Framework Using Convolutional Neural Network and Firefly Optimization for Tomato Leaf Disease Detection
Securing Data in an Internet of Things Network Using Blockchain Technology: Smart Home Case
Enhancing Drone-Based Precision Agriculture: Performance Optimization of TinyML Models on Edge Devices and Adaptive Path Planning
Analysing the Factors Influencing Funding Intentions in Crowdfunding: A Scale Development Approach
CaRaCTO-3D: From Camera-Radar Calibration to Scene Reconstruction
Non-episodic Variational Weight Imprinting for Few-Shot Learning
Machine Learning Algorithms for Predicting and Analyzing Arabic Sentiment
Performance Assessment and Comparison of Efficient Ad Hoc Reactive and Proactive Network Routing Protocols
An Improved Parallel Particle Swarm Optimization
Analysis of Context-Oriented Source Location Privacy Preservation Techniques for Wireless Sensor Networks
POWERED Wheelchair Driving Using Eye-Tracking through Video-Oculography: a Usability Study
IoT Based Smart Assistant for Blind Person and Smart Home Using the Bengali Language
A Novel Approach for Controlling the Spread of Viral Diseases Using Epidemic Role Index (ERI) and Graph-Theoretic Contract Tracing Model
Hierarchical Relevance Determination based on Information Criterion Minimization
Sea Lion Optimized PID + DD Controller for Load Frequency Control of a Hybrid Power System
Privacy-Preserving Authentication Protocols in Vanet
FPGA Implementation of a Chaotic Pseudo-random Numbers Generator
Crowd Distance Induced Multi Objective Binary Salp Swarm Optimization Algorithm for Mining High Frequency and Utility Itemsets
Blockchain and Machine Learning for Intelligent Automation in Robotic Process Automation
SQLIML: A Comprehensive Analysis for SQL Injection Detection Using Multiple Supervised and Unsupervised Learning Schemes
Intelligent Traffic Congestion Classification Framework
Digital Organizational Culture: A Qualitative Study on the Identification and Impact of the Characteristics of a Digital Culture in the Craft Sector
Utility of Smoothing Techniques in Yield Curve Modeling for the Asian Pacific Frontier Capital Market
Smart Energy Management System Using Non-intrusive Load Monitoring
A Three-Stage Cooperative Market Mechanism for Resilient Power Systems
Exploration of Semantic Priming Studies in Native Language of Children:Study on Bengali L1 and English L2 Bilingual Children
Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations
Towards the Use of Hypermedia MAS and Microservices for Web Scale Agent-Based Simulation
Detection of Fake Tweets Using Sentiment Analysis
Early Detection of Covid-19 in Canadian Provinces and its Anticipatory Measures for a Medical Emergency
Diagnosis of Autism Spectrum Disorder: A Review of Three Focused Interventions
Enhancing Skin Cancer Detection with Multimodal Data Integration: A Combined Approach Using Images and Clinical Notes
Two Dimensional Convolutional Neural Network Approach for Real-Time Bangla Sign Language Characters Recognition and Translation
The Future of Work: Robotic Process Automation and its Role in Shaping Tomorrow's Business Landscape
Glaucoma Detection Using Clustering and Segmentation of the Optic Disc Region from Retinal Fundus Images
Towards an Analytical Definition of Sufficient Data
A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets
Human Activity Identification System for Video Database Using Deep Learning Technique
Caching at Scale: Efficiency and Fairness Analysis in Multi-tenant RAG Systems
EEG and fMRI Artifact Detection Techniques: A Survey of Recent Developments
Utilizing Ensemble Learning and Dimension Reduction in Predicting Stock Prices: A Transparent Methodology with Insights from Explainable AI
Cooperative Multi-robot Target Searching and Tracking Using Velocity Inspired Robotic Fruit Fly Algorithm
Action Recognition Based on a Hybrid Deep Network
A Comparison of Genetic Representations and Initialisation Methods for the Multi-objective Shortest Path Problem on Multigraphs
Early Detection of Malignant Tumor in Lungs Using Feed-Forward Neural Network and K-Nearest Neighbor Classifier
Investigating the Efficiency of a Federated Learning-Based Intrusion Detection System for Smart Grid
RecCLIP: A Multimodal User-Oriented Recommender System for Generated Content
Workflow Management on Proof-of-Work Blockchains: Implications and Recommendations
A Comprehensive Machine Learning Approach for Early Detection of Diabetes on Imbalanced Data with Missing and Outlier Values
Improved Set Algebra-Based Heuristic Technique for Training Multiplicative Functional Link Artificial Neural Networks for Financial Time Series Forecasting
Sustainable Short-Term Production Planning Optimization
A Hybrid Multilayer Perceptron-Radial Basis Function (HMLP-RBF) Neural Network for Solving Hyperbolic Conservation Laws
DenseRes-Net: An Architecture for Gland Segmentation
Mapping Insights from News Articles to Tackle Low Birth Rate and Parenthood in Finland
Cyber Attack Detection Using Deep Multi-agent Reinforcement Learning with Beth Dataset
Systematic Mapping Study of AI/Machine Learning in Healthcare and Future Directions
Sampling and Forecasting Independent Data Via Clustered Bootstrap LSTM Models
Optimal Feature Selection Based on Evolutionary Algorithm for Intrusion Detection
BEmoC: A Corpus for Identifying Emotion in Bengali Texts
Correction: Optimizing Dynamic Ride Sharing with Multiple Objectives
A Comparative Study on the Impact of Adversarial Machine Learning Attacks on Contemporary Intrusion Detection Datasets
Inception Recurrent Neural Network Architecture for Video Frame Prediction
Detection of Dysrhythmias from Electrocardiogram Signals Using Noise Removal and Deep Learning Techniques
SH-OSP: A Hybrid Algorithm Using Spotted Hyena Optimizer Enabled with Optimal Stochastic Process for Epileptic Seizure Detection
Noise Robust ASV Spoof Detection Using Integrated Features and Time Delay Neural Network
An Intelligent Kurdish Sign Language Recognition System Based on Tuned CNN
Semantic Heads Segmentation and Counting in Crowded Retail Environment with Convolutional Neural Networks Using Top View Depth Images
Federated Transfer Learning for Chest X-ray Classification: An Explainable and Generative AI Framework with Reliability Assessment
An Empirical Study on Using CNNs for Fast Radio Signal Prediction
From Legal Contracts to Formal Specifications: A Systematic Literature Review
Modeling and Control of Tray Temperature Along with Column Pressure in a Pilot Plant Distillation Column
Discovering Tampered Image in Social Media Using ELA and Deep Learning
COVID-19 Diagnosis Through Deep Learning Techniques and Chest X-Ray Images
Leaf Disease Classification of Various Crops Using Deep Learning Based DBESeriesNet Model
Mining Two-Level Role Concepts Using Evolutionary Algorithms
Hybrid Data Mining Techniques for Predicting Student Academic Performance in E-Learning to Avoid Drop-Out (HDL-SP): An Efficient Data Mining Technique to Forecast Academic Performances of Students
Leveraging Deep Embedding Models for Arabic Text Summaries Evaluation
What Can the Millions of Random Treatments in Nonexperimental Data Reveal About Causes?
An Ontology-Based Approach to Automated Test Case Generation
Decision Theoretic Rough Set-Based Neighborhood for Self-Organizing Map
From Transcripts to Insights for Recommending the Curriculum to University Students
A Methodology for Runtime Detection and Extraction of Threat Patterns
Addressing IT Capacity Management Concerns Using Machine Learning Techniques
Design of Chest Visual Based Image Reclamation Method Using Dual Tree Complex Wavelet Transform and Edge Preservation Smoothing Algorithm
Automated Insect Detection and Classification Using Pelican Optimization Algorithm with Deep Learning on Internet of Enabled Agricultural Sector
Methods to Authenticate Luxury Products: Identifying Key Features and Most Recognized Deficits
A Deeper Look at Human Visual Perception of Images
SIMOP: A SIMulation-Guided OPtimization Mechanism for Sample Preparation with Digital Microfluidic Biochip
Towards Post-pandemic Transformative Teaching and Learning
A Comprehensive Requirement Capturing Model Enabling the Automated Formalisation of NL Requirements
Path Computation for Dynamic Provisioning in Multi-Technology Multi-Layer Transport Networks
Early Stage Glaucoma Detection Using Adaptive Geometric Ellipse Method
A Review Paper on the Role of Sentiment Analysis in Quality Education
MediXAI System for Predicted Outcome Analysis Using LIME and SHAP for Structured Medical Datasets
Facilitated Collaborative Group Co-Design of Hypothetical Digital Tools to Understand University Students' Well-being Support Needs and Requirements
Combat with Class Overlapping in Software Defect Prediction Using Neighbourhood Metric
Performance Tests of Smart City IoT Data Repositories for Universal Linear Infrastructure Data and Graph Databases
An Innovative Method for Hindi Word Sense Disambiguation
Constant-Time Reachability in DAGs Using Multidimensional Dominance Drawings
A Study on the Cognitive and Hedonic Factors of Augmented Reality in Influencing Purchasing Intent in Online Shopping in India
Characterizing WDT Subsystem of a Wi-Fi Controller in an Automobile Based on MIPS32 CPU Platform Across PVT
A Decision Tree-Based Smart Fitness Framework in IoT
AI-Enhanced Child Handwriting Analysis: A Framework for the Early Screening of Dyslexia and Dysgraphia
PHDD: Corpus of Physical Health Data Disclosure on Twitter During COVID-19 Pandemic
Analysis of Online Teaching Environment and Satisfaction in the Context of the Epidemic
Evaluating the Accuracy of a Generic Field Template for Camera Calibration in Soccer Broadcast Footage
Keyframe Extraction for Salient Human Activity Recognition Using a Canny Edge Detector
Analysis of Learning Heuristic Estimates for Grid Planning with Cellular Simultaneous Recurrent Networks
A Forward-Backward Relax-and-Solve Algorithm for the Resource-Constrained Project Scheduling Problem
Extending the Project Management Body of Knowledge (PMBOK) for Data Visualization in Software Project Management
A Novel Framework to Handle Overlapped Speech for Multiple Speakers in Speaker Diarization
Multimodal Unsupervised Domain Adaptation for Predicting Speaker Characteristics from Video
Source-Guided Adversarial Learning and Data Augmentation for Domain Generalization
CPPE-5: Medical Personal Protective Equipment Dataset
Testing Different COVID-19 Vaccination Strategies Using an Agent-Based Modeling Approach
A Wavelet Entropy-Based Approach to Select Structure Element of Morphological Filter for Bearing Fault Detection
Optimized Soil Moisture Prediction Using RF-PSO and Modified BACO Based Feature Selection
iDrone: IoT-Enabled Unmanned Aerial Vehicles for Detecting Wildfires Using Convolutional Neural Networks
Multi-Focus Image Fusion: A Systematic Literature Review
Quasi-Adiabatic SRAM Based Silicon Physical Unclonable Function
Impact of Multi-Feature Extraction on Image Retrieval and classification Using Machine Learning Technique
A Combined Approach of Vision Transformer and Transfer Learning Based Model for Accurate Lung Cancer Classification
A Chaos BSA-Based Optimization Approach for Task Planning to Improve Resource Deployment in Cloud Computing
Artificial Intelligence-Based Healthcare Data Analysis Using Multi-perceptron Neural Network (MPNN) Based On Optimal Feature Selection
Virtual Reality Embodiment in Motor Imagery Brain-Computer Interface Training
Deep Learning-Infused Hybrid Security Model for Energy Optimization and Enhanced Security in Wireless Sensor Networks
Increasing Efficient Usage of Real-Time Public Transportation Using IOT, Cloud and Customized Mobile App
DIRXNet: A Hybrid Deep Network for Classification of Breast Histopathology Images
Causeworks: a Mixed Initiative Framework for Causal Modeling
Localization and Detection of Copy-Move Forgeries in Post-processed Images Using U-Net
ARA: Aggregated RAPPOR and Analysis for Centralized Differential Privacy
Enhancing the Efficiency of Solar Energy Harvesting System for Wireless Sensor Network Nodes
Capturing the Development of Internal Representations in a High-Performing Deep Network for Sleep Stage Classification
Reliability, Resiliency, and Responsibility: A Framework for Addressing Security Concerns in Large Language Models
An Intelligent Image Encryption Scheme Based on Hyperchaotic Map and Dynamic DNA Encoding
Approaches to Constrained Quantum Approximate Optimization
A Learning Classifier System for Automated Test Case Prioritization and Selection
Hybrid DCGAN-CNN Architecture for EEG Based Emotion Recognition in 3D Valence-Arousal-Dominance Space
Transfer Learning for COVID-19 Detection in Medical Images
AI-Driven Toolbox for Efficient and Transferable Visual Quality Inspection in Production
Leveraging Convolutional Neural Networks for Enhanced Educational Question Classification
Correlation-Comparison Analysis as a New Way of Data-Mining: Application to Neural Data
Corpus Creation in Telugu: Sentiment Classification Using Ensemble Approaches
HCVINet: A Multimodal Deep Learning approach for Medicinal Plant Classification Using Visual and Semantic Features
A Multivariate Convertible Group Signature Scheme