yusuke1997/dblp-id-title huggingface dataset:
Optimizing Crop Yield and Reducing Energy Consumption in Greenhouse Control Using PSO-MPC Algorithm
Tuning of Multivariable Model Predictive Control for Industrial Tasks
Joint Antenna Selection and Beamforming Algorithms for Physical Layer Multicasting with Massive Antennas
Community Structure Detection for Directed Networks through Modularity Optimisation
A Mixed-Integer and Asynchronous Level Decomposition with Application to the Stochastic Hydrothermal Unit-Commitment Problem
Experimenting the Automatic Recognition of Non-Conventionalized Units in Sign Language
Achievement of Automatic Copper Wire Elongation System
3D Reconstruction Based on Iterative Optimization of Moving Least-Squares Function
An Enhanced Discrete Symbiotic Organism Search Algorithm for Optimal Task Scheduling in the Cloud
A New Subject-Sensitive Hashing Algorithm Based on MultiRes-RCF for Blockchains of HRRS Images
Degradation Trend Prediction for Rotating Machinery Using Long-Range Dependence and Particle Filter Approach
The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA
Special Issue on Algorithms for PID Controllers 2021
Uncertainty in Visual Generative AI
Robust Fuzzy Adaptive Sliding Mode Stabilization for Fractional-Order Chaos
A Mayfly-Based Approach for CMOS Inverter Design with Symmetrical Switching
A Distributed Hybrid Community Detection Methodology for Social Networks
Probabilistic Contingent Planning Based on Hierarchical Task Network for High-Quality Plans
Robust U-Nets for Fetal R-Peak Identification in Electrocardiography
The Parallel Machine Scheduling Problem with Different Speeds and Release Times in the Ore Hauling Operation
Special Issue on "Algorithms for Biomedical Image Analysis and Processing"
A Hybrid Model for Analysis of Laser Beam Distortions Using Monte Carlo and Shack-Hartmann Techniques: Numerical Study and Experimental Results
Accounting for Attribute Non-Attendance and Common-Metric Aggregation in the Choice of Seat Belt Use, a Latent Class Model with Preference Heterogeneity
Observations on the Computation of Eigenvalue and Eigenvector Jacobians
Artificial Intelligence in Software Testing: A Systematic Review of a Decade of Evolution and Taxonomy
Applying Particle Swarm Optimization Variations to Solve the Transportation Problem Effectively
A Comparative Study of Maze Generation Algorithms in a Game-Based Mobile Learning Application for Learning Basic Programming Concepts
Anomaly Detection and Root Cause Analysis for Energy Consumption of Medium and Heavy Plate: A Novel Method Based on Bayesian Neural Network with Adam Variational Inference
Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series
Comparison of Different Algorithms to Orthorectify WorldView-2 Satellite Imagery
Machine Learning Systems Tuned by Bayesian Optimization to Forecast Electricity Demand and Production
Signal Processing in Optical Frequency Domain Reflectometry Systems Based on Self-Sweeping Fiber Laser with Continuous-Wave Intensity Dynamics
MedicalSeg: A Medical GUI Application for Image Segmentation Management
A Simple Algorithm for Solving for the Generalized Longest Common Subsequence (LCS) Problem with a Substring Exclusion Constraint
Multi-Objective Task Scheduling Optimization in Spatial Crowdsourcing
Transfer Learning Approach for Human Activity Recognition Based on Continuous Wavelet Transform
An Improved Bacterial-Foraging Optimization-Based Machine Learning Framework for Predicting the Severity of Somatization Disorder
RSB: Robust Successive Binarization for Change Detection in Bitemporal Hyperspectral Images
Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics
An Improved Convergence Analysis of a Multi-Step Method with High-Efficiency Indices
Towards the Verbal Decision Analysis Paradigm for Implementable Prioritization of Software Requirements
Forecast of Medical Costs in Health Companies Using Models Based on Advanced Analytics
Digital Transformation in Aftersales and Warranty Management: A Review of Advanced Technologies in I4.0
A Flexible Pattern-Matching Algorithm for Network Intrusion Detection Systems Using Multi-Core Processors
Optimized GRU with Self-Attention for Bearing Fault Diagnosis Using Bayesian Hyperparameter Tuning
PDEC: A Framework for Improving Knowledge Graph Reasoning Performance through Predicate Decomposition
Neural Network-Enhanced Fault Diagnosis of Robot Joints
PISI: Physical Information Based Solver-Interactive Network Structure Reconstruction
Modeling of Some Classes of Extended Oscillators: Simulations, Algorithms, Generating Chaos, and Open Problems
Fast Algorithm for High-Throughput Screening Scheduling Based on the PERT/CPM Project Management Technique
Predicting the Gap in the Day-Ahead and Real-Time Market Prices Leveraging Exogenous Weather Data
Multi-Fidelity Low-Rank Approximations for Uncertainty Quantification of a Supersonic Aircraft Design
An Online Algorithm for Routing an Unmanned Aerial Vehicle for Road Network Exploration Operations after Disasters under Different Refueling Strategies
A Hybrid Course Recommendation System by Integrating Collaborative Filtering and Artificial Immune Systems
Nature-Inspired Optimization Algorithms for Text Document Clustering - A Comprehensive Analysis
A Polynomial-Time Reduction from the 3SAT Problem to the Generalized String Puzzle Problem
Lifting the Performance of a Heuristic for the Time-Dependent Travelling Salesman Problem through Machine Learning
Advanced Integration of Machine Learning Techniques for Accurate Segmentation and Detection of Alzheimer's Disease
Detecting Deception Using Natural Language Processing and Machine Learning in Datasets on COVID-19 and Climate Change
Model of Lexico-Semantic Bonds between Texts for Creating Their Similarity Metrics and Developing Statistical Clustering Algorithm
The t/k-Diagnosability and a t/k Diagnosis Algorithm of the Data Center Network BCCC under the MM* Model
A Two-Archive Many-Objective Optimization Algorithm Based on D-Domination and Decomposition
Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics
EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models
Optical Medieval Music Recognition Using Background Knowledge
Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning
Image Similarity to Improve the Classification of Breast Cancer Images
High-Gain Observer-Based Sliding-Mode Dynamic Surface Control for Particleboard Glue Mixing and Dosing System
Linear System Identification-Oriented Optimal Tampering Attack Strategy and Implementation Based on Information Entropy with Multiple Binary Observations
Linear Time Local Approximation Algorithm for Maximum Stable Marriage
Mapping a Guided Image Filter on the HARP Reconfigurable Architecture Using OpenCL
Binary Differential Evolution with a Limited Maximum Number of Dimension Changes
Benchmarking Multiple Large Language Models for Automated Clinical Trial Data Extraction in Aging Research
Erratum: Ahmad, F., et al. A Preconditioned Iterative Method for Solving Systems of Nonlinear Equations Having Unknown Multiplicity. Algorithms 2017, 10, 17
Modeling and Control of IPMC-Based Artificial Eukaryotic Flagellum Swimming Robot: Distributed Actuation
Graph Compression by BFS
Improving Re-Identification by Estimating and Utilizing Diverse Uncertainty Types for Embeddings
NDARTS: A Differentiable Architecture Search Based on the Neumann Series
Modeling and Performance Analysis to Predict the Behavior of a Divisible Load Application in a Cloud Computing Environment
A Similarity Measurement with Entropy-Based Weighting for Clustering Mixed Numerical and Categorical Datasets
Learning Representations of Natural Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level
A Memetic Algorithm for an External Depot Production Routing Problem
Comparison of Machine Learning Classifiers for the Detection of Breast Cancer in an Electrical Impedance Tomography Setup
A Review of Machine Learning's Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
Fair and Transparent Student Admission Prediction Using Machine Learning Models
A Privacy-Preserving Symptoms Retrieval System with the Aid of Homomorphic Encryption and Private Set Intersection Schemes
Eye Fatigue Detection through Machine Learning Based on Single Channel Electrooculography
The NIRS Brain AnalyzIR Toolbox
Acknowledgement to Reviewers of Algorithms in 2019
Non-Interactive Decision Trees and Applications with Multi-Bit TFHE
FPT Algorithms for Diverse Collections of Hitting Sets
On the Optimal Calculation of the Rice Coding Parameter
Stable Multicommodity Flows
IOb-Cache: A High-Performance Configurable Open-Source Cache
Generalized Polynomial Chaos Expansion for Fast and Accurate Uncertainty Quantification in Geomechanical Modelling
Subsampling Algorithms for Irregularly Spaced Autoregressive Models
Width, Depth, and Space: Tradeoffs between Branching and Dynamic Programming
ECG Signal Classification Using Interpretable KAN: Towards Predictive Diagnosis of Arrhythmias
IGLOO: An Iterative Global Exploration and Local Optimization Algorithm to Find Diverse Low-Energy Conformations of Flexible Molecules
Modular Stability Analysis of a Nonlinear Stochastic Fractional Volterra IDE
Mitigating Co-Activity Conflicts and Resource Overallocation in Construction Projects: A Modular Heuristic Scheduling Approach with Primavera P6 EPPM Integration
Newton-Type Methods on Generalized Banach Spaces and Applications in Fractional Calculus
The Traffic Grooming Problem in Optical Networks with Respect to ADMs and OADMs: Complexity and Approximation
No Cell Left behind: Automated, Stochastic, Physics-Based Tracking of Every Cell in a Dense, Growing Colony
Using Metaheuristics on the Multi-Depot Vehicle Routing Problem with Modified Optimization Criterion
Computing Idle Times in Fuzzy Flexible Job Shop Scheduling
A Distributed Approach to the Evasion Problem
An Easily Understandable Grey Wolf Optimizer and Its Application to Fuzzy Controller Tuning
Asian Affective and Emotional State (A2ES) Dataset of ECG and PPG for Affective Computing Research
Local Search Heuristic for the Two-Echelon Capacitated Vehicle Routing Problem in Educational Decision Support Systems
A Fusion-Based Approach with Bayes and DeBERTa for Efficient and Robust Spam Detection
A Novel Dual-Strategy Approach for Constructing Knowledge Graphs in the Home Appliance Fault Domain
A Swarm Intelligence Solution for the Multi-Vehicle Profitable Pickup and Delivery Problem
A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables
A Lightweight Deep Learning Approach for Detecting External Intrusion Signals from Optical Fiber Sensing System Based on Temporal Efficient Residual Network
Solving Optimal Power Flow Using New Efficient Hybrid Jellyfish Search and Moth Flame Optimization Algorithms
A Quantum Frequency-Domain Framework for Image Transmission with Three-Qubit Error Correction
Minimum-Energy Scheduling of Flexible Job-Shop Through Optimization and Comprehensive Heuristic
An Optimization Algorithm Inspired by the Phase Transition Phenomenon for Global Optimization Problems with Continuous Variables
Power Allocation Algorithm for an Energy-Harvesting Wireless Transmission System Considering Energy Losses
A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN
UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning
Machine Learning-Based Prediction of the Seismic Bearing Capacity of a Shallow Strip Footing over a Void in Heterogeneous Soils
Behavioral Game Theory Model in Pollution Control with Additional Supervision
Error Investigation on Wi-Fi RTT in Commercial Consumer Devices
Suffix-Sorting via Shannon-Fano-Elias Codes
Optimization Design by Genetic Algorithm Controller for Trajectory Control of a 3-RRR Parallel Robot
Algorithms for Detecting and Refining the Area of Intangible Continuous Objects for Mobile Wireless Sensor Networks
Computation of Implicit Representation of Volumetric Shells with Predefined Thickness
qRobot: A Quantum Computing Approach in Mobile Robot Order Picking and Batching Problem Solver Optimization
A New Approximation for the Perimeter of an Ellipse
Solving NP-Hard Challenges in Logistics and Transportation under General Uncertainty Scenarios Using Fuzzy Simheuristics
Classification of the Structural Behavior of Tall Buildings with a Diagrid Structure: A Machine Learning-Based Approach
Mechanical Fault Prognosis through Spectral Analysis of Vibration Signals
Control-Oriented Models for SO Fuel Cells from the Angle of V&V: Analysis, Simplification Possibilities, Performance
Unsupervised Transformer-Based Anomaly Detection in ECG Signals
Classification of Precursor MicroRNAs from Different Species Based on K-mer Distance Features
Bibliometric Analysis of Medical Waste Research Using Python-Driven Algorithm
Deephive: A Reinforcement Learning Approach for Automated Discovery of Swarm-Based Optimization Policies
A Particle Filter Track-Before-Detect Algorithm Based on Hybrid Differential Evolution
Parallel CUDA-Based Optimization of the Intersection Calculation Process in the Greiner-Hormann Algorithm
A Multitask Learning Framework for Abuse Detection and Emotion Classification
An Effective Algorithm for Finding Shortest Paths in Tubular Spaces
Optimal Design of I-PD and PI-D Industrial Controllers Based on Artificial Intelligence Algorithm
Measuring the Non-Transitivity in Chess
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect
A Fast Approach to Texture-Less Object Detection Based on Orientation Compressing Map and Discriminative Regional Weight
Electroencephalogram Emotion Recognition via AUC Maximization
Special Issue: "2022 and 2023 Selected Papers from Algorithms' Editorial Board Members"
Improving Traffic Load Distribution Fairness in Mobile Social Networks
A Model Architecture for Public Transport Networks Using a Combination of a Recurrent Neural Network Encoder Library and a Attention Mechanism
Automatic Segmentation of Histological Images of Mouse Brains
Special Issue on Ensemble Learning and Applications
Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data
Exploring Graph and Digraph Persistence
Incremental Learning for Classification of Unstructured Data Using Extreme Learning Machine
Intelligent Identification of Trend Components in Singular Spectrum Analysis
A Physicist's View on Partial 3D Shape Matching
Machine Learning Models for Predicting Postoperative Complications and Hospitalization After Percutaneous Nephrolithotomy
Local Convergence of an Optimal Eighth Order Method under Weak Conditions
Efficiency Intra-Cluster Device-to-Device Relay Selection for Multicast Services Based on Combinatorial Auction
Performance Evaluation of Fractional Proportional-Integral-Derivative Controllers Tuned by Heuristic Algorithms for Nonlinear Interconnected Tanks
Recommending Links to Control Elections via Social Influence
Determining Thresholds for Optimal Adaptive Discrete Cosine Transformation
On the Need for Accurate Brushstroke Segmentation of Tablet-Acquired Kinematic and Pressure Data: The Case of Unconstrained Tracing
Multi-Material Topology Optimization on Separate Tetrahedral Meshes with Explicit Design Resolution by Means of Remeshing
A Modified Analytic Hierarchy Process Suitable for Online Survey Preference Elicitation
Evaluation of PID-Based Algorithms for UGVs
Information Fusion-Based Deep Neural Attentive Matrix Factorization Recommendation
Analysis of the State and Fault Detection of a Plastic Injection Machine - A Machine Learning-Based Approach
HMM Adaptation for Improving a Human Activity Recognition System
Federated Learning for Intrusion Detection in the Critical Infrastructures: Vertically Partitioned Data Use Case
A Distributed Execution Pipeline for Clustering Trajectories Based on a Fuzzy Similarity Relation
Generation of Realistic Synthetic Load Profile Based on the Markov Chains Theory: Methodology and Case Studies
Maritime Supply Chain Optimization by Using Fuzzy Goal Programming
Detecting Fake Accounts on Instagram Using Machine Learning and Hybrid Optimization Algorithms
Overlays with Preferences: Distributed, Adaptive Approximation Algorithms for Matching with Preference Lists
How to Identify Varying Lead-Lag Effects in Time Series Data: Implementation, Validation, and Application of the Generalized Causality Algorithm
Is One Teacher Model Enough to Transfer Knowledge to a Student Model?
High Frequency Waves Propagating in Octagonal Bars: a Low Cost Computation Algorithm
Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models
Algorithmic Implementation of Visually Guided Interceptive Actions: Harmonic Ratios and Stimulation Invariants
Design of an FPGA Hardware Optimizing the Performance and Power Consumption of a Plenoptic Camera Depth Estimation Algorithm
Human Body Shapes Anomaly Detection and Classification Using Persistent Homology
Community Structure and Systemic Risk of Bank Correlation Networks Based on the U.S. Financial Crisis in 2008
A Survey on Variable Neighborhood Search for Sustainable Logistics
Evaluating Machine Learning Techniques for Brain Tumor Detection with Emphasis on Few-Shot Learning Using MAML
Autoencoder-Based Reduced Order Observer Design for a Class of Diffusion-Convection-Reaction Systems
JointContrast: Skeleton-Based Interaction Recognition with New Representation and Contrastive Learning
Pattern Recognition and Pathway Analysis with Genetic Algorithms in Mass Spectrometry Based Metabolomics
Construction of Life-Cycle Simulation Framework of Chronic Diseases and Their Comorbidities Based on Population Cohort
Comparing the Reasoning Capabilities of Equilibrium Theories and Answer Set Programs
Editorial for the Special Issue on "Bayesian Networks: Inference Algorithms, Applications, and Software Tools"
Practical Grammar Compression Based on Maximal Repeats
DataToCare: Predicting Treatments for Intensive Care Unit Patients Based on Similarity of Abnormalities
Polymer Models of Chromatin Imaging Data in Single Cells
A Trajectory-Based Immigration Strategy Genetic Algorithm to Solve a Single-Machine Scheduling Problem with Job Release Times and Flexible Preventive Maintenance
Image Deblurring Based on Convex Non-Convex Sparse Regularization and Plug-and-Play Algorithm
Machine Learning for Decision Support and Automation in Games: A Study on Vehicle Optimal Path
Special Issue "Selected Algorithmic Papers From CSR 2020"
A Multi-Class Deep Learning Approach for Early Detection of Depressive and Anxiety Disorders Using Twitter Data
Special Issue on Scheduling Theory and Algorithms for Sustainable Manufacturing
Dark Type Dynamical Systems: The Integrability Algorithm and Applications
The Practicality of Deep Learning Algorithms in COVID-19 Detection: Application to Chest X-ray Images
Advantages of Density in Tensor Network Geometries for Gradient-Based Training
A Framework for Evaluating Dynamic Directed Brain Connectivity Estimation Methods Using Synthetic EEG Signal Generation
A Visual Object Tracking Algorithm Based on Improved TLD
A Domain-Adaptive Tree-Crown Detection and Counting Method Based on Cascade Region Proposal Networks
Utilizing the Particle Swarm Optimization Algorithm for Determining Control Parameters for Civil Structures Subject to Seismic Excitation
Maximum Locally Stable Matchings
A Source Domain Extension Method for Inductive Transfer Learning Based on Flipping Output
Common Nearest Neighbor Clustering - A Benchmark
Self-Adaptive Path Tracking Control for Mobile Robots under Slippage Conditions Based on an RBF Neural Network
A Hybrid FMEA-ROC-CoCoSo Approach for Improved Risk Assessment and Reduced Complexity in Failure Mode Prioritization
Adaptive Cooperative Control of Multiple Urban Rail Trains with Position Output Constraints
Study of Precipitation Forecast Based on Deep Belief Networks
AI-Driven Optimization of Functional Feature Placement in Automotive CAD
Atom Filtering Algorithm and GPU-Accelerated Calculation of Simulation Atomic Force Microscopy Images
Enhancing Product Design through AI-Driven Sentiment Analysis of Amazon Reviews Using BERT
High-Fidelity Image Transmission in Quantum Communication with Frequency Domain Multi-Qubit Techniques
Listening to the City, Attentively: A Spatio-Temporal Attention-Boosted Autoencoder for the Short-Term Flow Prediction Problem
A Model-Driven Approach for Solving the Software Component Allocation Problem
Computing a Clique Tree with the Algorithm Maximal Label Search
Crossover Rate Sorting in Adaptive Differential Evolution
Incremental Pyraformer-Deep Canonical Correlation Analysis: A Novel Framework for Effective Fault Detection in Dynamic Nonlinear Processes
Multithreading-Based Algorithm for High-Performance Tchebichef Polynomials with Higher Orders
Breast Cancer Detection with Gabor Features from Digital Mammograms
Nonlinear Optimization and Adaptive Heuristics for Solving Irregular Object Packing Problems
A Novel Lightweight Facial Expression Recognition Network Based on Deep Shallow Network Fusion and Attention Mechanism
Efficient Estimation of Generative Models Using Tukey Depth
Multi-Server Two-Way Communication Retrial Queue Subject to Disaster and Synchronous Working Vacation
A New Algorithm for Computing the Distance and the Diameter in Circulant Graphs
Data Filtering Based Recursive and Iterative Least Squares Algorithms for Parameter Estimation of Multi-Input Output Systems
Using Deep-Learned Vector Representations for Page Stream Segmentation by Agglomerative Clustering
IoT Multi-Vector Cyberattack Detection Based on Machine Learning Algorithms: Traffic Features Analysis, Experiments, and Efficiency
Tolerance Proportionality and Computational Stability in Adaptive Parallel-in-Time Runge-Kutta Methods
Fused Gromov-Wasserstein Distance for Structured Objects
Development of Optimal Size Range of Modules for Driving of Automatic Sliding Doors
Parallelizing the Computation of Grid Resistance to Measure the Strength of Skyline Tuples
Analysis and Conditional Optimization of Projection Estimates for Distribution of Random Variable Using Legendre Polynomials
A Novel Hybrid Recommender System for the Tourism Domain
A Short Note on Physics-Guided GAN to Learn Physical Models without Gradients
Using Smartwatches in Stress Management, Mental Health, and Well-Being: A Systematic Review
A Multi-Process System for Investigating Inclusive Design in User Interfaces for Low-Income Countries
Decision Tree-Based Adaptive Reconfigurable Cache Scheme
Measuring the Impact of Financial News and Social Media on Stock Market Modeling Using Time Series Mining Techniques
Agent State Flipping Based Hybridization of Heuristic Optimization Algorithms: A Case of Bat Algorithm and Krill Herd Hybrid Algorithm
KMC3 and CHTKC: Best Scenarios, Deficiencies, and Challenges in High-Throughput Sequencing Data Analysis
Engineering-Oriented Explainable Machine Learning and Digital Twin Framework for Sustainable Dairy Production and Environmental Impact Optimisation
Performance-Constraint Fault Tolerant Control to Aircraft in Presence of Actuator Deviation
An Improved Negotiation-Based Approach for Collecting and Sorting Operations in Waste Management and Recycling
Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis
Trajectory Clustering and k-NN for Robust Privacy Preserving Spatiotemporal Databases
A Compendium of Parameterized Problems at Higher Levels of the Polynomial Hierarchy
Perturbative-Iterative Computation of Inertial Manifolds of Systems of Delay-Differential Equations with Small Delays
AetherGeo: A Spectral Analysis Interface for Geologic Mapping
Smart Black Box 2.0: Efficient High-Bandwidth Driving Data Collection Based on Video Anomalies
Space-Efficient Fully Dynamic DFS in Undirected Graphs
Algorithms for Drug Sensitivity Prediction
Design of Multichannel Spectrum Intelligence Systems Using Approximate Discrete Fourier Transform Algorithm for Antenna Array-Based Spectrum Perception Applications