yusuke1997/dblp-id-title huggingface dataset:
Thai Morning Glory Price Forecasting Using Deep Learning
Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts
Document Information Extraction: An Analysis of Invoice Anatomy
Image-Based Arabic Sign Language Recognition System Using Transfer Deep Learning Models
Argumentative SOX Compliant and Quality Decision Support Intelligent Expert System over the Suppliers Selection Process
Efficient Spectrum Sharing in Cognitive Radio Networks With NOMA Using Computational Intelligence
Recurrent Neural Network (RNN)-Based Approach to Uncover the Relationship Between Block Size and Blockchain Performance
Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature
On the Analytical Solution of Fractional SIR Epidemic Model
Standard Precipitation Index Drought Forecasting Using Neural Networks, Wavelet Neural Networks, and Support Vector Regression
Exploring Physics-Informed Neural Networks for the Generalized Nonlinear Sine-Gordon Equation
Assessment of Haar Wavelet-Quasilinearization Technique in Heat Convection-Radiation Equations
DNCCLA: Discrete New Caledonian Crow Learning Algorithm for Solving Traveling Salesman Problem
Interactive Evolutionary Computation for Analyzing Human Awareness Mechanisms
Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm
Optimization of Hybrid Machine Learning Approach for Unemployment Rate Forecasting
On the Feature Selection and Classification Based on Information Gain for Document Sentiment Analysis
Poverty Analysis and Prediction in South Africa Using Remotely Sensed Data
Handwritten Geez Digit Recognition Using Deep Learning
ML-Based Grid-Interactive EV Chargers Under Nongrid Conditions
Diabetes Mellitus Disease Prediction and Type Classification Involving Predictive Modeling Using Machine Learning Techniques and Classifiers
Tuning PID Controller Using Multiobjective Ant Colony Optimization
Novel Metaheuristic Based on Iterated Constructive Stochastic Heuristic: Dhouib-Matrix-3 (DM3)
On Facial Expression Recognition Benchmarks
Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques
Contingency-Constrained Optimal Power Flow Using Simplex-Based Chaotic-PSO Algorithm
Enhancing Image Cryptography Performance with Block Left Rotation Operations
Extreme Gradient Boosting Beats In-Silico Identification of Proteins Potentially Associated With Alzheimer's
Semisupervised Learning Based Opinion Summarization and Classification for Online Product Reviews
Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10)
Predicting Cardiovascular Diseases Using Neural Networks: Validation With the SCORE2 Risk Assessment Tool
A Nonlinear Programming and Artificial Neural Network Approach for Optimizing the Performance of a Job Dispatching Rule in a Wafer Fabrication Factory
A Robust Approach for Speaker Identification Using Dialect Information
Using Multicore Technologies to Speed Up Complex Simulations of Population Evolution
Embedded Parallel Implementation of LDPC Decoder for Ultra-Reliable Low-Latency Communications
Saliency Aggregation: Multifeature and Neighbor Based Salient Region Detection for Social Images
Genetic Algorithms and Particle Swarm Optimization Mechanisms for Through-Silicon Via (TSV) Noise Coupling
A Neural Network: Family Competition Genetic Algorithm and Its Applications in Electromagnetic Optimization
STA-HAR: A Spatiotemporal Attention-Based Framework for Human Activity Recognition
Ensemble Deep Learning Technique for Detecting MRI Brain Tumor
Multiband Operation and Performance Enhancement of the PIFA Antenna by Using Particle Swarm Optimization and Overlapping Method
Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms
Development of an E-Commerce Chatbot for a University Shopping Mall
Forged Video Detection Using Deep Learning: A SLR
LSTM-Based Neural Network to Recognize Human Activities Using Deep Learning Techniques
The Performance of LBP and NSVC Combination Applied to Face Classification
COVID-19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers
Adaptive Representations for Improving Evolvability, Parameter Control, and Parallelization of Gene Expression Programming
An Intelligent Diagnostic System to Analyze Early-Stage Chronic Kidney Disease for Clinical Application
Investigations on Incipient Fault Diagnosis of Power Transformer Using Neural Networks and Adaptive Neurofuzzy Inference System
Real Time Eye Detector with Cascaded Convolutional Neural Networks
The Mixed Type Splitting Methods for Solving Fuzzy Linear Systems
Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells
A Hybrid Recurrent Neural Network Architecture for the Prediction of Subscriber Traffic in a Mobile Telecommunication Network
Enhanced Parkinson's Disease Diagnosis via MRI Analysis: Integrating Deep Features From DenseNet201 With Neural Network Techniques
A Decision-Making Approach for Ranking Tertiary Institutions' Service Quality Using Fuzzy MCDM and Extended HiEdQUAL Model
A Novel Method of Data Protection Through DNA Chromosome Databases
A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence
Brain Tumor Detection Using a Deep CNN Model
Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering
An Application of Improved Gap-BIDE Algorithm for Discovering Access Patterns
Fuzzy Set and Soft Set Theories as Tools for Vocal Risk Diagnosis
Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms
Long Term Solar Radiation Forecast Using Computational Intelligence Methods
Retrieval Architecture with Classified Query for Content Based Image Recognition
Modeling and Evolutionary Optimization on Multilevel Production Scheduling: A Case Study
State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search
Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Optimal Current Harmonic Mitigation by Employing Active Power Filter
Overall Cost Overrun Estimate in Residential Projects: A Hybrid Dynamics Approach
The Characteristics of Circular Fermatean Fuzzy Sets and Multicriteria Decision-Making Based on the Fermatean Fuzzy t-Norm and t-Conorm
Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine
Proposing Algorithm Using YOLOV4 and VGG-16 for Smart-Education
Developing a Predictive Model for Stroke Disease Detection Using a Scalable Machine Learning Approach
Simplified Deep Neural Network Models for Cardiovascular Disease Classification
Deep Learning Enabled Garbage Classification and Detection by Visual Context for Aerial Images
Agriculture Supply Chain Management Based on Blockchain Architecture and Smart Contracts
Multiscale Convolutional Neural Networks for Hand Detection
MIMO Lyapunov Theory-Based RBF Neural Classifier for Traffic Sign Recognition
Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing
Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems
Enhancing Global Optimization through the Integration of Multiverse Optimizer with Opposition-Based Learning
Appling the Roulette Wheel Selection Approach to Address the Issues of Premature Convergence and Stagnation in the Discrete Differential Evolution Algorithm
Evaluation of Sustainable Performance of Industry 4.0 Technologies Using a Novel Fuzzy OPLO-POCOD Method
Power Supply Management for an Electric Vehicle Using Fuzzy Logic
Direction of Arrival Estimation for Coherent Signals' Method Based on LSTM Neural Network
Machine Learning and Visual Computing
Machine Learning-Based Ransomware Classification of Bitcoin Transactions
Parameter Estimation for Dynamical Systems Using a Deep Neural Network
A Dynamic and Heuristic Phase Balancing Method for LV Feeders
Use of Genetic Algorithm for Cohesive Summary Extraction to Assist Reading Difficulties
Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint
A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs
Discovery of Characteristic Patterns from Transactions with Their Classes
An Advanced Forecasting Model Leveraging Emotion-Gesture Correlation to Predict Returning Visitors Surpasses Visit Duration as a Predictive Factor
Analyzing Ferroresonance Phenomena in Power Transformers Including Zinc Oxide Arrester and Neutral Resistance Effect
EEG-Based Emotion Recognition Datasets for Virtual Environments: A Survey
Detection of Hate Speech and Offensive Language in Arabic Text: A Systematic Literature Review
Classification of Textual E-Mail Spam Using Data Mining Techniques
Evolutionary Computation and Its Applications in Neural and Fuzzy Systems
Improved Deviation Sparse Fuzzy C-Means-2D Cumulative Sum Average Filter and Modified Sine Cosine Crow Search Algorithm-Wavelet Extreme Learning Machine for Brain Tumor Detection and Classification
Novel Adaptive Bacteria Foraging Algorithms for Global Optimization
Simulink-Based Analysis for Coupled Metabolic Systems
A Real-Time Angle- and Illumination-Aware Face Recognition System Based on Artificial Neural Network
Evaluation of Gas-Fired Combi Boilers with HF-AHP-MULTIMOORA
Fuzzy Environmental Model for Evaluating Water Quality of Sangam Zone during Maha Kumbh 2013
Enhancing Face Recognition Model Performance Through HyperStyle-Driven Data Augmentation
Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method
Corrigendum to "Reidentification of Persons Using Clothing Features in Real-Life Video"
A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient Algorithm
Pipelined Training with Stale Weights in Deep Convolutional Neural Networks
On the Variability of Neural Network Classification Measures in the Protein Secondary Structure Prediction Problem
An Efficient Method for Diagnosing Brain Tumors Based on MRI Images Using Deep Convolutional Neural Networks
A Review of Gait Optimization Based on Evolutionary Computation
A Software Tool for Assisting Experimentation in Dynamic Environments
Machine Learning Approaches to Predict Patient's Length of Stay in Emergency Department
Null Steering in Failed Antenna Arrays
Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms
Concepts, Methods, and Performances of Particle Swarm Optimization, Backpropagation, and Neural Networks
Indonesian Lip-Reading Detection and Recognition Based on Lip Shape Using Face Mesh and Long-Term Recurrent Convolutional Network
Maximal Soft Compact and Maximal Soft Connected Topologies
Corrigendum to "A Client-Server and Web-Based Graphical User Interface Design for the Mathematical Model of Cardiovascular-Respiratory System"
Multivariate Statistics and Supervised Learning for Predictive Detection of Unintentional Islanding in Grid-Tied Solar PV Systems
The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews
A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images
A Unified Deep Architecture for Segmentation in Remote Sensing Images
Early Detection and Classification of Potato Leaf Disease Using Convolutional Neural Networks
Statistical Evaluation and Trend Analysis of ANN Based Satellite Products (PERSIANN) for the Kelani River Basin, Sri Lanka
A Bicriteria Model to Determine Pareto Optimal Pulse Vaccination Strategies
Ethereum Price Prediction Using Time Series and Deep Learning Techniques
Local Search-Based Metaheuristic Methods for the Solid Waste Collection Problem
Awareness Science and Engineering
Fish Detection Using Deep Learning
Efficient Use of Variation in Evolutionary Optimization
Efficient Truss Design: A Hybrid Geometric Mean Optimizer for Better Performance
Deep Learning in Medical Imaging: Chronological Evolution, Frameworks, Core Methods, and Recent Advances in Breast Cancer Segmentation (2023-2024)
Fuzzy Neural Network for Fuzzy Quadratic Programming With Penalty Function and Mean-Variance Markowitz Portfolio Model
Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval
Network Partitioning Domain Knowledge Multiobjective Application Mapping for Large-Scale Network-on-Chip
Application of Gene Expression Programming to Evaluate Strength Characteristics of Hydrated-Lime-Activated Rice Husk Ash-Treated Expansive Soil
A New Fuzzy Logic-Based Similarity Measure Applied to Large Gap Imputation for Uncorrelated Multivariate Time Series
Differential Grey Wolf Load-Balanced Stochastic Bellman Deep Reinforced Resource Allocation in Fog Environment
A Neural Network Method for Assessing the Nutritional Requirements of a Patient With Type 2 Diabetes
A New Framework of Multiphase Segmentation and Its Application to Partial Volume Segmentation
Feature-Level vs. Score-Level Fusion in the Human Identification System
Applied Neural Intelligence to Modeling, Control, and Management of Human Systems and Environments
2-Layered Architecture of Vague Logic Based Multilevel Queue Scheduler
Hiding Information in Reversible English Transforms for a Blind Receiver
Boolean Algebra of Soft Q-Sets in Soft Topological Spaces
Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm
An Improved Particle Swarm Optimization Algorithm forOptimal Allocation of Distributed Generation Units in Radial Power Systems
Public Project Portfolio Optimization under a Participatory Paradigm
The Design of Academic Programs Using Rough Set Association Rule Mining
Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones
A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis
Mining Key Skeleton Poses with Latent SVM for Action Recognition
Enhanced Retinal Vessel Segmentation Using Dynamic Contrast Stretching and Mathematical Morphology on Fundus Images
Accelerating AI-Based Battery Management System's SOC and SOH on FPGA
Consistency Degrees of Theories in Łukasiewicz Fuzzy and n-Valued Propositional Logic Systems
Predicting the Number of COVID-19 Sufferers in Malang City Using the Backpropagation Neural Network with the Fletcher-Reeves Method
Classification of Physiology Indicators for the Automatic Detection of Potentially Hazardous Physiological States
A Feedback-Assisted Inverse Neural Network Controller for Cart-Mounted Inverted Pendulum
Neural Oscillators Programming Simplified
Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting
Gaussian Pyramid for Nonlinear Support Vector Machine
A New Multiphase Soft Segmentation with Adaptive Variants
A Deep Learning Fusion Approach to Diagnosis the Polycystic Ovary Syndrome (PCOS)
Simulation Optimization for the Multihoist Scheduling Problem
Two Iterative Methods for Solving Linear Interval Systems
A Crossover Bacterial Foraging Optimization Algorithm
The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders
Post-Fall Intelligence Supporting Fall Severity Diagnosis Using Kinect Sensor
Subspace Clustering of High-Dimensional Data: An Evolutionary Approach
Script Identification from Printed Indian Document Images and Performance Evaluation Using Different Classifiers
Novel FTLRNN with Gamma Memory for Short-Term and Long-Term Predictions of Chaotic Time Series
A Deep Longitudinal Model for Mild Cognitive Impairment to Alzheimer's Disease Conversion Prediction in Low-Income Countries
Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis
AD-KMeans: A Novel Clustering Algorithm for Fraud Detection in Imbalanced Datasets
An Efficient Genome Fragment Assembling Using GA with Neighborhood Aware Fitness Function
Caption Generation Based on Emotions Using CSPDenseNet and BiLSTM with Self-Attention
Morphological Accuracy Data Clustering: A Novel Algorithm for Enhanced Cluster Analysis
Progressive Detection of Uncertainty in Natural Language Processing Using a Labeled Variable Dimension Kalman Filter
Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka
Reconfigurable Neuromorphic Neural Network Architecture
Pleasant/Unpleasant Filtering for Affective Image Retrieval Based on Cross-Correlation of EEG Features
YOLO-UNet Architecture for Detecting and Segmenting the Localized MRI Brain Tumor Image
Image Enhancement under Data-Dependent Multiplicative Gamma Noise
A Review on Deep Sequential Models for Forecasting Time Series Data
Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization
Development of Decision Support Model for Selecting a Maintenance Plan Using a Fuzzy MCDM Approach: A Theoretical Framework
Cascade Support Vector Machines with Dimensionality Reduction
Monthly Rainfall Estimation Using Data-Mining Process
Model Calibration and Validation for the Fuzzy-EGARCH-ANN Model
A Generalized Method for Sentiment Analysis across Different Sources
Automated Decision Technique for the Crowd Estimation Method Using Thermal Videos
Smartphone Household Wireless Electroencephalogram Hat
Design of Optimal Proportional Integral Derivative Based Power System Stabilizer Using Bat Algorithm
Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean
Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis
Fusion of Deep and Time-Frequency Local Features for Melanoma Skin Cancer Detection
Using Machine Learning to Predict the Wear Rate of Corundum-Filled LM30 Aluminum Composites at High Temperatures
Exploiting Mobile Ad Hoc Networking and Knowledge Generation to Achieve Ambient Intelligence
Predictive Modeling of River Water Temperatures in Catu River: A Neural Network-Based Approach
Sentiment and Deep Learning Analysis of Childbirth Experiences: Insights for Improving Maternity Care and Hospital Policies
Local Community Detection Algorithm Based on Minimal Cluster
Comparative Analysis of ANFIS and State-ANFIS for Forecasting Cooking Oil Prices Based on Processed Palm Oil Yield (Crude Palm Oil)
An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm
Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences
Comparison of Fuzzy Clustering Methods and Their Applications to Geophysics Data
Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems
A Study of Moment Based Features on Handwritten Digit Recognition
Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges
Fast COVID-19 Detection from Chest X-Ray Images Using DCT Compression
Effective Fuzzy Soft Set Theory and Its Applications
Intelligent Model for Brain Tumor Identification Using Deep Learning
Parsing of Research Documents into XML Using Formal Grammars
The Performance of a New Heuristic Approach for Tracking Maximum Power of PV Systems
Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition
Semisupervised Soft Mumford-Shah Model for MRI Brain Image Segmentation
On the Performance Improvement of Devanagari Handwritten Character Recognition
Black-Scholes Fuzzy Numbers as Indexes of Performance
CNN-Based Pupil Center Detection for Wearable Gaze Estimation System
CNN-Based Obesity Detection Framework Using Typical Regions of Body Thermograms and Soft-Vote Fusion Algorithm
Neural Behavior Chain Learning of Mobile Robot Actions
Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges
Space-Air-Ground Integrated Network for Disaster Management: Systematic Literature Review
An Intelligent Framework Based on Deep Learning for SMS and e-mail Spam Detection
Fake Fingerprint Classification Using Hybrid Features Learning With Gradient Boosting
Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition
An Activation Method of Topic Dictionary to Expand Training Data for Trend Rule Discovery
Numerical Solution of Uncertain Beam Equations Using Double Parametric Form of Fuzzy Numbers
Long Short-Term Memory-Based Prediction of Indonesian Composite Stock Index Returns for Early Identification of Market Crises
An Algorithm for Extracting Intuitionistic Fuzzy Shortest Path in a Graph
Chemical Reaction Optimization for Minimum Weight Dominating Set
Modelling of Water Quality: An Application to a Water Treatment Process
Modified Grey Wolf Optimizer for Global Engineering Optimization
An Integrated Node Selection Model Using FAHP and FTOPSIS for Data Retrieval in Ubiquitous Computing
Estimation of Fuzzy Measures Using Covariance Matrices in Gaussian Mixtures
Analysis of Flue Gas Emission Data from Fluidized Bed Combustion Using Self-Organizing Maps
Optimizing Concrete Mix Designs With Synthetic Data Generation and Machine Learning Prediction Models
Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations
Examining Emotional Reactions to the COVID-19 Crisis Through Twitter Data Analysis: A Comparative Study of Classification Techniques
Enhancement of Performance for Steam Turbine in Thermal Power Plants Using Artificial Neural Network and Electric Circuit Design
Prediction of Defective Software Modules Using Class Imbalance Learning
Design of Fixed and Ladder Mutation Factor-Based Clonal Selection Algorithm for Solving Unimodal and Multimodal Functions
Arabic Sentiment Analysis: A Systematic Literature Review
Testing Automation of Context-Oriented Programs Using Separation Logic
Breast Cancer Prediction: A Fusion of Genetic Algorithm, Chemical Reaction Optimization, and Machine Learning Techniques
Clustering Ant Colony-Based Edge-Server Location Strategy in Mobile Crowdsensing
Solving Partial Integro-Differential Equations via Double Formable Transform
A Neuro-Fuzzy Controller for Collaborative Applications in Robotics Using LabVIEW
Contour-Detected Normalized Residual Model for Kidney Stone Classification
Hybrid Machine Learning Model for Electricity Consumption Prediction Using Random Forest and Artificial Neural Networks
Corrigendum to "An Efficient Blind Image Deblurring Using a Smoothing Function"
Merging Agents and Cloud Services in Industrial Applications
A Novel Deep Learning-Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power Grid
An Adaptive Transformer Model for Long-Term Time-Series Forecasting of Temperature and Radiation in Photovoltaic Energy Generation
Using Fuzzy Logic Method to Investigate the Effect of Economic Sanctions on Business Cycles in the Islamic Republic of Iran
A Hybrid Power Series Artificial Bee Colony Algorithm to Obtain a Solution for Buckling of Multiwall Carbon Nanotube Cantilevers Near Small Layers of Graphite Sheets
Towards Scalable Distributed Framework for Urban Congestion Traffic Patterns Warehousing
Stateless Malware Packet Detection by Incorporating Naive Bayes with Known Malware Signatures
Semisupervised Learning-Based Word-Sense Disambiguation Using Word Embedding for Afaan Oromoo Language
Hybrid Models for Emotion Classification and Sentiment Analysis in Indonesian Language
Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches
Time-Leveled Hypersoft Matrix, Level Cuts, Operators, and COVID-19 Collective Patient Health State Ranking Model
A Client-Centric Evaluation System to Evaluate Guest's Satisfaction on Airbnb Using Machine Learning and NLP
Design and Implement Deepfake Video Detection Using VGG-16 and Long Short-Term Memory
Feature Fusion Based Audio-Visual Speaker Identification Using Hidden Markov Model under Different Lighting Variations