yusuke1997/dblp-id-title huggingface dataset:
Gamification Strategies: A Characterization Using Formal Argumentation Theory
Mixing Grain to Improve Profitability in Winter Wheat Using Evolutionary Algorithms
Best Selection of Generative Adversarial Networks Hyper-Parameters Using Genetic Algorithm
Modelling and Implementation of Microcontroller System Robotic Devices Through Digital Twins with the Modernization of Complex Systems
A Diversity-Based Synthetic Oversampling Using Clustering for Handling Extreme Imbalance
Fault Diagnosis of Tenessee Eastman Process with Detection Quality Using IMVOA with Hybrid DL Technique in IIOT
Supporting User Protection Requirements in Cloud-Based Data Outsourcing
A Graph-Based Recommendation Algorithm on Quaternion Algebra
Bird Swarm Algorithm Optimized TIDD Controller for Multi-area Load Frequency Control Application
Investigating Factors Shaping Future Doctors' Willingness to Adopt AI Diagnosis Support Systems
A Survey on Machine Learning Techniques in Movie Revenue Prediction
Cross Classification Matrix to Evaluate the Performance of Machine Learning Algorithms in Predicting Students Performance of Developing Regions
Advancing Clustering Performance: A Comparative Analysis of Metaheuristics and Enhanced Initialization Strategies
Crawler by Contextual Inference
Iterative Respacing of Polygonal Curves
Intelligent Sensor Fusion Model for Environmental Sensing in Autonomous Vehicles
Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled Dataset
Leveraging CNN and Fundus Imaging for Enhanced Glaucoma Detection
Achieving Anonymization Constraints in High-Dimensional Data Publishing Based on Local and Global Data Suppressions
Face Recognition-Based Automatic Hospital Admission with SMS Alerts
On Radically Expanding the Landscape of Potential Applications for Automated-Proof Methods
Automated Assessment of Classroom Interaction Based on Verbal Dynamics: A Deep Learning Approach
Evaluating eXtended Reality (XR) and Desktop Modalities for AI Education
Electro-Optical Monitoring System for Early-Warning Detection of Mini-UAVs
Study of Evolutionary Algorithms for Multi-objective Optimization
Detection of Melanoma Insitu Using Trained CNN Model
Study on Implementation of Shor's Factorization Algorithm on Quantum Computer
A Novel Approach for Forecasting Price of Stock Market using Machine Learning Techniques
Design of a Structured Hypercube Network Chip Topology Model for Energy Efficiency in Wireless Sensor Network Using Machine Learning
Resolving Linguistic Ambiguities by Visual Context
Deep Learning-Enhanced Emotional Insight: Tailored Music and Book Suggestions Through Facial Expression Recognition
MQTT-Based Android Chat Application for IoT
Effect of Stopwords and Stemming Techniques in Urdu IR
A Deep Learning Based Methodology for Assessing Road Marking Wear from Laser Imaging
IoT-Enhanced Smart Door Locking System with Security
Artificial Intelligence Technique for Prediction of Carbon Stocks and Uncertainty Estimates in Tropical Forests
Efficient and Secure MPC Through Integration of FHE and Proxy Re-encryption
Segmented Fractal and Central Symmetric LBP Based Texture Features for the Detection of Diabetic Retinopathy Using SVM
Enhancing Gene Expression Classification Through Explainable Machine Learning Models
Opposition-Based Artificial Hummingbird Algorithm Applied to Elementary Machine Design Problems
Optimizing Mobile Cloud Computing: A Comparative Analysis and Innovative Cost-Efficient Partitioning Model
Axial Generation: Mixing Colour and Shapes to Automatically Form Diverse Digital Sculptures
Hybrid Deep Learning Model for Paediatric Cardiac Anomaly Detection and Classification
Ensemble Feature Extraction with Classification Integrated with Mask RCNN Architecture in Breast Cancer Detection Based on Deep Learning Techniques
People Counting from Moving Camera Videos through PeopleNet Framework
MedAccess HBPF: A Privacy-Preserving Hybrid-Blockchain Framework for Secure and Efficient Cloud-Based Electronic Health Record Sharing
Deep Learning-Based Classification of Alzheimer's Disease Using MRI Scans: A Customized Convolutional Neural Network Approach
Developed a Machine Learning and Deep Learning Model for 5G MIMO Data Based Beam Selection and Intelligent Network Analytics
Hyperledger Fabric Networks for Corporate Remittance Payments in the Banking Sector Using Blockchain
Next-Generation Cybersecurity Solution: A Decentralized Ransomware Recovery Network (DRRN) with Secret Sharing
Binary de Bruijn Sequences via Zech's Logarithms
Methods, Databases and Recent Advancement of Vision-Based Hand Gesture Recognition for HCI Systems: A Review
Implementation of Newton's Algorithm Using FORTRAN
Enhancing Intrusion Detection Systems with Reinforcement Learning: A Comprehensive Survey of RL-based Approaches and Techniques
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation
Machine Learning and Deep Learning Models for Anomaly Intrusion Detection in Networks: A Systematic Review
Intelligent Mango Canopies Yield Estimation Using Machine Vision
Intelligent Power and Cost Management System in Small-Scale Grid-Associated PV-Wind Energy System Using RNN-LSTM
Architecture and Applications of IoT Devices in Socially Relevant Fields
A DNA Cryptosystem Using Diffie-Hellman Key Exchange
Emerging Technologies in Applied Informatics
Hybrid ACO-CI Algorithm for Beam Design Problems
Problem-Based Learning Diagnosis in Computing Higher Education: An Overview from Brazilian Public Institutions
Enhancing Malayalam Palm Leaf Character Segmentation: An Improved Simplified Approach
Utilizing Supervised Machine Learning and Technical Indicators for Quantitative Trading to Improve Stock Market Trading Decisions
What are IBD Patients Talking About on Twitter? Using Natural Language Understanding to Investigate Patients' Tweets
Retraction Note: A Novel Framework in Software Engineering for Deep Learning
Building a Wastewater Network Graph and Detecting Anomalies from Inspection Videos
Evaluating the Performance of FedCLUS Algorithm Using FedCI: A New Federated Cluster Validity Metric
A Review on Intrusion Detection System for IoT based Systems
Completeness Assessment and Improvement in Mobile Crowd-Sensing Environments
Bringing Deep Learning to the Fields and Forests: Leaf Reconstruction and Shape Estimation
AdaGen: Adaptive Generalized Knowledge Transfer Framework for Sensor-Based Surface Classification for Wheelchair Routing
Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey
Understanding Student Behavioral Dynamics in Moodle Through Chaos Theory and Interpretable Machine Learning
A Multi-Sensor-Based Terrain Perception Model for Locomotion Selection of Hybrid Mobile Robots
An Enhancement of Object Detection Using YOLO V8 and Mobile Net in Challenging Conditions
Lightweight Convolutional Neural Network Model for Cassava Leaf Diseases Classification
Deep Learning and BERT-Based Models for Poetry Analysis: A Study on Chronological and Subject-Wise Categorization of Tagore's Poetic Works
Enhancing Breast Cancer Detection with Advanced Deep Learning Techniques for Ki-67 Nuclear Protein Analysis
A Class-Specific Intrusion Detection Model: Hierarchical Multi-class IDS Model
Research on Computer-Assisted Interpreter Training: A Review of Studies from 2013 to 2023
Brain MRI Image Classification and Analysis Using Modified ResNet50V2 for Parkinson's Disease Detection
Predicting Community Health Through Heterogeneous Social Networks
Software-Tool Support for Collaborative, Virtual, Multi-Site Molecular Tumor Boards
Diagnosis-Steganography-Transmission: An Innovative Integrated Paradigm for ECG Healthcare
Enhancement in Smart Operation of Greenhouse Environment Using Intelligent Biomimetic Control Framework
A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network
PALLA: Palpation Suit for Breast Cancer Examination
Enhanced Atrous Convolution-Gated Recurrent Unit for Spectrum Sensing in Cognitive Radio Network
Addressing Proficiency Gaps in Future Skills Between Employers and Learners Through Data Visualization
Convolutional Neural Network for Sentiment Analysis on Metaverse-Related Tweets: A Deep Learning Approach
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler
Model Order Reduction with Neural Networks: Application to Laminar and Turbulent Flows
dLeak: An IoT-Based Gas Leak Detection Framework for Smart Factory
Fault Tree Reliability Analysis via Squarefree Polynomials: Mathematical and Experimental Analysis
Detection of Stuttered Speech with Repetition Using Wavelet Packet Transformation and Neuro Fuzzy Classifier
PARUDroid: Framework that Enhances Smartphone Security Using an Ensemble Learning Approach
A Conformal Ultrathin and Ultra-wideband Metamaterial-Based Absorber Dedicated for Applications in C and X Bands
Emotions: Pyramidal Structured Feature Representation from EEG Signals
EvenQuads Game and Error-Correcting Codes
An Intelligent System to Predict Diabetic Retinal Diseases Based on Diabetic Attributes
Segmentation, Detection, and Classification of Cell Nuclei on Oral Cytology Samples Stained with Papanicolaou
A Comparison of the Analysis of Methods for Feature Extraction and Classification in SSVEP BCIs
Waterwheel Archimedes Optimization and Resilient Consensus BiLSTM for Efficient Data Aggregation to Detect and Discard Malicious Nodes and Packets in IoT-Based Healthcare Applications
A Detailed Study on Anaphora Resolution System for Asian Languages
Developing a Mechatronics-Twin Framework for Effective Exploration of Operational Behaviors of Prosthetic Sockets
Sentiment Analysis on Urdu Tweets Using Markov Chains
A Framework Designing of Routing Model for Path Planning of Vehicles Using IoT
Evaluating Return on Investment for Cyberinfrastructure Using the International Integrated Reporting Framework
Skin Diseases Detection Using LBP and WLD: An Ensembling Approach
Study of a Hybrid Approach Towards Malware Detection in Executable Files
Evaluation of Sampling-Based Ensembles of Classifiers on Imbalanced Data for Software Defect Prediction Problems
Vehicular Perception Based on Inertial Sensing: A Structured Mapping of Approaches and Methods
Posture and Mechanical Load Assessment During Patient Transfers
Savitzky-Golay Filtering-Based Fusion of Multiple Exposure Images for High Dynamic Range Imaging
Epileptic Seizure Classification and Feature Optimization Technique Using Grey Wolf Algorithm on Dynamic Datasets
Predicting Smart Grid Stability with Optimized Deep Models
Enhancing Neural Machine Translation Through Incorporation of Unsupervised Language Understanding and Generation Techniques: The Case of English-Afaan Oromo Translation
Localization of Victims in Disaster Area Using RSSI with Machine Learning Techniques
AI-Powered Static & Dynamic Analysis for Continuous Security in DevSecOps
Leveraging Sequence-to-Sequence Models for Kannada Abstractive Summarization
Wavelet Radar Signal Processing and its Applications to Industrial Roller Rotation Monitoring
Classification of Eye Tracking Data in Visual Information Processing Tasks Using Convolutional Neural Networks and Feature Engineering
Surface Object Detection Algorithm of Lightweight Steel Rolling Based on Machine Vision
Heart Rate Estimation from Wrist PPG Signal During Intense Physical Exercise
Assessing the Impact of IoT Enabled E-Learning System for Higher Education
Heart Disease Prediction Using a Stacked Ensemble Learning Approach
Robust Partial Image Security Through Chaotic Map and Non-adaptive Techniques
Spectrometric Feature Analysis of Mud Crab Portions for Automatic Internal Quality Grading
Threat Modelling of Cyber Physical Systems: A Real Case Study Based on Window Cleaning Business
Orientation Local Binary Pattern Based Fingerprint Matching
Prediction of Renewable Energy Using an Improved Derivative Model
Discovering New Robust Local Search Algorithms with Neuro-Evolution
Automatic Classification of Melanoma Using Grab-Cut Segmentation & Convolutional Neural Network
Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection
From GIS to Graphical Representation for Maintaining Connectivity of Wastewater Network Elements
Exploring the Effect of Genetic Improvement for Large Language Models-Generated Code
A Hybrid System to Assist Visually Impaired People
Monitoring Irrigated Agriculture Using Remote Sensing and Census Data: A Case Study from Guanajuato, Mexico
A Recommendation System Based on COVID-19 Prediction & Analyzing Using Ensemble Boosted Machine Learning Algorithm
From Text to Decision: A GenAI Framework for Strategic Evaluation of Funding Opportunities
A Systematic Assessment of Numerical Association Rule Mining Methods
Enhancing REST API Handlers Organization for Node.js Microservices
The Efficacy of Object Deciphering in STEAM Education Beyond Encounters and Collisions Between Learners and Objects
On Tuning Neural ODE for Stability, Consistency and Faster Convergence
Region Centric Multi Feature Growth Analysis Model for Efficient Plant Selection and Recommendation
Correction: Disease Detection Using Ensemble Model in Machine Learning
Survival Analysis-Based System for Predictive Maintenance Optimization
A Study on Indirect Performance Parameters of Object Detection
Application of Artificial Bee Colony Algorithm in Solving Second-Order Differential Equations
Analysis of Human Activity Detection Using Machine Learning Approaches
Propositions with Typed Lambda Calculus λ
AutoMoDe-Cedrata: Automatic Design of Behavior Trees for Controlling a Swarm of Robots with Communication Capabilities
Computational Intelligence Enabled Student Performance Estimation in the Age of COVID-19
Person Detection and Geolocation Estimation in Drone Images
A Deeper Analysis of the Hierarchical Clustering and Set Unionability-Based Data Union Method
Assessing Meteorological Drought and Detecting LULC Dynamics at a Regional Scale Using SPI, NDVI, and Random Forest Methods
Integrated Search Method for Flexible Job Shop Scheduling Problem Using HHS-ALNS Algorithm
Visualization of Real-Time Smart Home Data Using PowerBI
Generative Adversarial Networks Based Framework for Music Genre Classification
Optimized Data Structuring and Preprocessing Techniques for Belfort Civil Registers of Birth Transcription
Detecting Anomaly and Its Sources in Activities of Daily Living
Analysis of India's Regionally Disparate Recovery from the Second Wave of Coronavirus Using Machine Learning
An Ensemble Technique for Cardiac Data Compression in Smart Healthcare System
Generic Deep-Learning-Based Time Series Models for Aviation Accident Analysis and Forecasting
Fuzzy Branch and Bound Optimization Technique for Solving Multi-objective Next-Release Problem
Selection of a Suitable Healthcare Supplier Using AHP and TOPSIS Methods Hybridized in Metaheuristic Environment
Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art
An Empirical Study on Small-Sized Datasets Based on Eubank's Optimal Spacing Theorem
Scaled Model Development and Testing for Automatic Train Operation: Creating a Digital Twin
Assessing Mobile Usage, Physical Activity and Sleep Through Smartphone Sensing: A Digital Phenotype Study
Fast and Secure Multiparty Querying over Federated Graph Databases
An Efficient Approach Based on Attention ConvMixer Model for Lung Segmentation
Corpus Construction for Historical Newspapers: A Case Study on Public Meeting Corpus Construction Using OCR Error Correction
Privacy Preserving Association Rule Mining on Distributed Healthcare Data: COVID-19 and Breast Cancer Case Study
New Digital Signature Scheme Based on RSA Using Circulant Matrix
Inclusive Learning and Assessment in the Era of AI
Enhancing Classification in the Meditation Domain: Harry Hawks Optimization Approach for Feature Selection and SVM Parameter Optimization with Grid Search
MLOps Challenges in Industry 4.0
Security Algorithm for Intelligent Transport System in Cyber-Physical Systems Perceptive: Attacks, Vulnerabilities, and Countermeasures
Detection and Classification of Novel Attacks and Anomaly in IoT Network using Rule based Deep Learning Model
Translator Data Pre-processing Gram Feature Algorithmic Model (TDGA) for Enhancing Classifier Accuracy in the Healthcare Domain
Analyzing Brain Damages in Children with Image Processing Using KNN and FCM Algorithms
Immersive Simulation for Caregiver Empathy Training: A Metaverse-AR Educational Framework Addressing Cognitive Impairment Care Challenges
SMT Solver-Based Cryptanalysis of Block Ciphers
Metaheuristic (Ant Colony Optimization) Algorithm-Based Optimization of a Circular Shaped Patch Antenna for Medical Purposes
Bias Estimation Correction in Multi-Agent Reinforcement Learning for Mixed Cooperative-Competitive Environments
BayWT Image Fusion Method for Enhancement of Eddy Current Sub-surface Defect Images
Finite State Automata Based Cryptosystem for Secure Data Sharing and De-duplication in Cloud Computing
Comparative Analysis of Bio-inspired and Numerical Control Paradigms for a Visual Assistive Device
Predicting the Myocardial Infarction from Predictive Analytics Through Supervised Machine Learning
Age Detection in a Surveillance Video Using Deep Learning Technique
CNN Architectures for Geometric Transformation-Invariant Feature Representation in Computer Vision: A Review
Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection
Optimal Cost Modeling Scheme for Efficient Intra-Prediction Mode in Video Compression
Composite Deep Learning Architecture for Vehicle Classification Using Vision Transformers and Wheel Position Features
Developing the Digital Literacy of People with Cognitive Limitations in the Workplace
An Optimal Host Allocation and Load Distribution Framework Using Maximum Likelihood in Cloud Environment
A Secure Authentication and Key Establishment Protocol for IoT Devices Using ECCMD
Graph Compression for Adjacency-Matrix Multiplication
Deep Heterogeneous AutoML Trend Prediction Model for Algorithmic Trading in the USD/COP Colombian FX Market Through Limit Order Book (LOB)
Efficient Brain Tumor Classification Using Filter-Based Deep Feature Selection Methodology
Negation Assisted Emotion Detection from Textual Data Using Machine Learning
An Improvised Sentiment Analysis Model on Twitter Data Using Stochastic Gradient Descent (SGD) Optimization Algorithm in Stochastic Gate Neural Network (SGNN)
Towards Building a Global Robust Model for Heart Disease Detection
Keyword Extraction: A Modern Perspective
A Comparative Analysis of Deep Learning Models and Gradient Computation for Rally Detection in Badminton Videos
Local Binary Pattern (LBP) and Transfer Learning Based Approach to Classify Lung and Colon Cancer
Improved Software Fault Prediction Model Based on Optimal Features Set and Threshold Values Using Metaheuristic Approach
Prediction of Responsivity for Organic Tin-Based Perovskites
Security Threats and Dealing with Social Networks
Breathing Aid Devices to Support Novel Coronavirus (COVID-19)Infected Patients
MC-NN: An End-to-End Multi-Channel Neural Network Approach for Predicting Influenza A Virus Hosts and Antigenic Types
Hybrid IT and Multi Cloud an Emerging Trend and Improved Performance in Cloud Computing
QViLa: Quantum Infused Vision-Language Model for Enhanced Multimodal Understanding
On Eye Tracking in Software Engineering
Protecting Data and Queries in Cloud-Based Scenarios
Implementation of an Anomalous Human Activity Recognition System
A New Approach for Control Chart Pattern Recognition Using Nonlinear Correlation Measure
Designing of Enhanced Deep Neural Network Model for Analysis and Identification of Kidney Stone, Cyst, and Tumour
Needle in a Haystack: Generating Audit Hypotheses for Clinical Audits of Hospitals
XAI-Based Student Performance Prediction: Peeling Back the Layers of LSTM and Random Forest's Black Boxes
The Impact of Predictive Maintenance on the Performance of Industrial Enterprises
Identification and Grouping of Skin Sickness by Means of Deep Learning
Empirical Mode Decomposition and Attention-Driven Deep Fusion of Electroencephalographic and Heart Rate Variability Data for Cognitive Impairment Detection
Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from a State in Australia
Dual-Stage Deep Learning Framework for Autism Spectrum Disorder Detection and Severity Classification Using Swin3D Transformer and GAT-LSTM Networks
An Analytical Framework for Clustering Roads Based on Crash Severity Analysis
Finding Context-Based Influencers on Twitter
Sentence Level Sentimental Analysis with Neural Network Using RSS News Feed on Stock Market Informations
2-Phase Multi-trait Biometric Authentication Model Against Spoofing Attack Using Deep Hash Model
SCCNet: Skin Cancer Detection and Multi-Class Classification Using Deep CNN Model with Estimated Disease Probabilities
Reliable and Accurate Implicit Neural Representation of Multiple Swept Volumes with Application to Safe Human-Robot Interaction
Combination of K-Means Clustering and Support Vector Machine for Instrument Detection
An Improvement Heuristic Based on Variable Neighborhood Search for Dynamic Orienteering Problems with Changing Node Values and Changing Budgets
PD-ITS: Pothole Detection Using YOLO Variants for Intelligent Transport System
A Peer-to-Peer Data Sharing Framework for Web Browsers
A Comparison of Python-Based Copula Parameter Estimation for Archimedean-Based Asymmetric Copulas
A Review on Utilization and Impact of Prominent Datasets in Fisheries Research
Two Warehouses EOQ Inventory Model of Degrading Matter Having Exponential Decreasing Order, Limited Suspension in Price Including Salvage Value
Enhancing Cardiovascular Health Monitoring Through IoT and Deep Learning Technologies
A Holistic Review of Image-to-Text Conversion: Techniques, Evaluation Metrics, Multilingual Captioning, Storytelling and Integration
Visualization of Professional Cyclists Analytics
Group Anomaly Detection: Past Notions, Present Insights, and Future Prospects
An Optimal Novel Approach for Dynamic Energy-Efficient Task Offloading in Mobile Edge-Cloud Computing Networks
Thai Fake News Detection Based on Information Retrieval, Natural Language Processing and Machine Learning
Alzheimer Disease Detection Using MRI: Deep Learning Review
CvDeep-COVID-19 Detection Model
Network Communication Encoding: A Study for Authentication Protocols
Document Image Analysis Using Deep Multi-modular Features
Quantum Adaptation of SHA-1 and MD5: Implementation, Performance Evaluation, and Discussion on Post-Quantum Hashing Techniques
Determining the Required Training Capacity Within a Military Establishment
Algorithmic Study of Online Multi-Facility Location Problems
Training Integer-Only Deep Recurrent Neural Networks
GeoLSTM-FuzzNet: A Deep Learning Framework for Landslide Susceptibility Prediction Using Fuzzy Spatial Encoding and Temporal Rainfall Modeling
Developing and Analysing a Photovoltaic (PV) Renewable Energy Source with Particle Swarm Optimization (PSO) Algorithm for Battery Management in Grid Environment Power Quality
Correction: Detecting Connectivity Patterns in Nordic Twittersphere by Cluster Analysis
Meta Heuristic Technique with Reinforcement Learning for Node Deployment in Wireless Sensor Networks
Acoustic Event and Scene Classification: A Review
An Experimental Study of Diversity of Diabetes Disease Features by Bagging and Boosting Ensemble Method with Rule Based Machine Learning Classifier Algorithms
A Bagging Ensemble Algorithm for Seasonal Time Series Forecasting
A Novel BGCapsule Network for Text Classification
Investigating the Psychological Outcomes Through Yoga for Stress Reduction Using Machine Learning and Statistical Techniques
Towards Richer Assisted Living Environments
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
Personalized Learning in the Croatian National Education System: A Study of AI Implementation in the e-Class Register
Fault-See-Through: An Explainable AI Approach for Edge-Assisted Electrical Fault Diagnosis in 3-φ Generators Using Vibration Signal
Predicting Student Satisfaction and Quality Management for Remote Learning in Southeast- Asia