yusuke1997/dblp-id-title huggingface dataset:
Tuning of a Predictive Control Scheme for Intravenous Anaesthesia Exploring Set of Fixed Ratios
Negobot: A Conversational Agent Based on Game Theory for the Detection of Paedophile Behaviour
Forecasting a Fashion Collection with the Optimization of Costs of Overestimation and Underestimation of Demand
Transforming Manufacturing Through Human Digital Twins: A New Architectural Approach
Deterministic Tableau-Decision Procedure via Reductions for Modal Logic K
Use of Support Vector Machines and Neural Networks to Assess Boar Sperm Viability
Optimizing Network Energy Consumption through Intrusion Prevention Systems
Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning
Dimensional Reduction Applied to an Intelligent Model for Boost Converter Switching Operation
An Overall Performance Comparative of GA-PARSIMONY Methodology with Regression Algorithms
Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach
A New Approach for System Malfunctioning over an Industrial System Control Loop Based on Unsupervised Techniques
Exploring Datasets to Solve Partial Differential Equations with TensorFlow
Austenitic Stainless Steel EN 1.4404 Corrosion Detection Using Classification Techniques
A Strength Pareto Approach and a Novel Formulation in the Reporting Cells Planning
A Hybrid Approach for Short-Term NO2 Forecasting: Case Study of Bay of Algeciras (Spain)
Multiple Choice Strategy Based PSO Algorithm with Chaotic Decision Making - A Preliminary Study
Edge Architecture for the Integration of Soft Models Based Industrial AI Control into Industry 4.0 Cyber-Physical Systems
Similarity of Parts Determined by Semantic Networks as the Basis for Manufacturing Cost Estimation
Intelligent Model for Fault Detection on Geothermal Exchanger of a Heat Pump
The 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024 - Salamanca, Spain, October 9-11, 2024 Proceedings, Volume 2
Optimal Input Vector Based Fuzzy Controller Rules Design
A Novel Harmony Search Algorithm for One-Year-Ahead Energy Demand Estimation Using Macroeconomic Variables
Erasmus Innovative European Studies
Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting
Local Model of the Air Quality on the Basis of Rough Sets Theory
Contrast Enhancement of Breast MRI Images Based on Fuzzy Type-II
Further Results on Alzheimer Disease Detection on Structural MRI Features
Soft Computing for the Analysis of People Movement Classification
Energy-Efficient Sound Environment Classifier for Hearing Aids Based on Multi-objective Simulated Annealing Programming
Instability Detection on a Radial Turning Process for Superalloys
Inventory Routing Problem with Stochastic Demand and Lead Time: State of the Art
Mathematical Modelling for Performance Evaluation Using Velocity Control for Semi-autonomous Vehicle
HODMD Analysis in a Forced Flow over a Backward-Facing Step by Harmonic Perturbations
Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction
Implementation of a New Hybrid Methodology for Fault Signal Classification Using Short -Time Fourier Transform and Support Vector Machines
The Weak Supervision Approach for Question Answering over Text Using Triplets Recovering with QA-Based Rankers
GRASP Algorithm for Optimization of Grids for Multiple Classifier System
Principal Component Analysis on a LES of a Squared Ribbed Channel
A Toolbox for DPA Attacks to Smart Cards
Characterization of Android Malware Families by a Reduced Set of Static Features
Evaluation of Novel Soft Computing Methods for the Prediction of the Dental Milling Time-Error Parameter
Provable Secure Constant-Round Group Key Agreement Protocol Based on Secret Sharing
Classification Methods for MOBA Games
Bayesian Networks for Greenhouse Temperature Control
Discovering the Dialog Rules by Means of a Soft Computing Approach
Intelligent Maintenance for Industrial Processes, a Case Study on Cold Stamping
Embedding GIS in Crop Field Bonitation Computation
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology
Soft Computing Metamodels for the Failure Prediction of T-stub Bolted Connections
Reliable Workspace Monitoring in Safe Human-Robot Environment
Automatic Analysis of Web Service Honeypot Data Using Machine Learning Techniques
Multi-Objective Differential Evolution on the GPU with C-CUDA
Adaptive Fault-Tolerant Tracking Control Algorithm for IoT Systems: Smart Building Case Study
A Web Platform and a Decision Model for Computer-Interpretable Guidelines
Assessment of Similarity of Elements as a Basis for Production Costs Estimation
Link Similarity Reveals Multiscale Link Communities
Analysis of the Online Interactions of Students in the Project Management Learning Process
Errors of Identifiers in Anonymous Databases: Impact on Data Quality
A Greedy Biogeography-Based Optimization Algorithm for Job Shop Scheduling Problem with Time Lags
LiDAR Applications for Energy Industry
Visualizing Industrial Development Distance to Better Understand Internationalization of Spanish Companies
The Impact of Data Normalization on the Accuracy of Machine Learning Algorithms: A Comparative Analysis
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) - Salamanca, Spain, September 5-7, 2023, Proceedings, Volume 2
Using Genetic Algorithms to Optimize the Location of Electric Vehicle Charging Stations
Demand Control Ventilation Strategy by Tracing the Radon Concentration in Smart Buildings
An Adaptive Cognitive Model to Integrate Machine Learning and Visual Streaming Data
Metaheuristic Approach for Survivable P2P Multicasting Flow Assignment in Dual Homing Networks
Towards Improving the Applicability of Non-parametric Multiple Comparisons to Select the Best Soft Computing Models in Rubber Extrusion Industry
Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines
A Parameter-Free Method for the Detection of Web Attacks
Tuning Process Noise in INS/GNSS Fusion for Drone Navigation Based on Evolutionary Algorithms
Image Reconstruction of Colored Bitmap Fractal Images Through Bat Algorithm and Color-Based Image Clustering
Fuzzy Aggregators in Practice: Meta-Model and Implementation
Smart Time Series Prediction
An Efficient Heterogeneous Approach to Building Compressed Automata for Malware Signature Matching
Modifications of Differential Evolution with Composite Trial Vector Generation Strategies
A Rough Clustering Algorithm Based on Entropy Information
An Intelligent Model to Predict ANI in Patients Undergoing General Anesthesia
Application of Neural Models in Solar Radiation Measurements for a Better Data Gathering Quality
Dynamic Resources Configuration for Coevolutionary Scheduling of Scientific Workflows in Cloud Environment
A Smart Crutch Tip for Monitoring the Activities of Daily Living Based on a Novel Neural-Network Intelligent Classifier
Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow
Microcontroller Implementation of a Multi Objective Genetic Algorithm for Real-Time Intelligent Control
An Approach of Genetic Algorithm to Model Supplier Assessment in Inbound Logistics
Supported Decision-Making by Explainable Predictions of Ship Trajectories
Level 3 Data Fusion - Course of Action and Scenario Estimation
Minimization of the Number of Employees in Manufacturing Cells
An Information Extraction Process for Semi-automatic Ontology Population
Optimization Design in Wind Farm Distribution Network
A Scatter Search Based Approach to Solve the Reporting Cells Problem
Application of Fuzzy Logic to the Risk Assessment of Production Machines Failures
Cryptanalysis of a Key Authentication Scheme Based on the Chinese Remainder Theorem and Discrete Logarithms
Yes, We Can - (Can We Change the Evaluation Methods in Mathematics?)
Weakly Supervised Learning of the Motion Resistance of a Locomotive Powered by Liquefied Natural Gas
The Use of Games as an Educational Web2.0 Technology - A Survey of Motivations for Playing Computer Games at HE Level
Fault Detection in Biological Methanation Process Using Machine Learning: A Comparative Study of Different Algorithms
Framework for the Detection of Physiological Parameters with Musical Stimuli Based on IoT
Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series
Steel Tube Cross Section Geometry Measurement by 3D Scanning
A Proposal of Robust Leak Localization in Water Distribution Networks Using Differential Evolution
Anomaly Detection for Health Monitoring of Heavy Equipment Using Hierarchical Prediction with Correlative Feature Learning
Preparatory Stages of the Production Scheduling of Complex and Multivariant Products Structures
An Extremal Optimization Approach to the Pairwise Connectivity Critical Node Detection Problem
Predicting the Passenger Request in the Elevator Dispatching Problem
Scalable Intelligence and Adaptation in Scheduling DSS
TPC_Net: An Efficient CNN Architecture for Tomato Plant Disease and Pest Classification
Explaining Learned Patterns in Deep Learning by Association Rules Mining
Co_2 C o 2 and Idling Emission Estimation for Vehicle Routing Problem with Mid Way Halts
The Quadrotor Workshop in Science Week. Spread of Technical and Scientific Applications in Society
Evaluation as a Continuous Improvement Process in the Learning of Programming Languages
International Joint Conference SOCO'13-CISIS'13-ICEUTE'13 - Salamanca, Spain, September 11th-13th, 2013 Proceedings
Prediction of Peak Concentrations of PM10 in the Area of Campo de Gibraltar (Spain) Using Classification Models
An Interactive Genetic Algorithm for the Unequal Area Facility Layout Problem
Autoencoder Neural Networks for Anomaly Detection in Wind Turbines
Multi-robot Path Planning Problem Applied to Real World Enviroment
Discrete-Event-Simulation Based on Machine Learning Predictive Agents
Improvement of Accuracy in Sound Synthesis Methods by Means of Regularization Strategies
Coevolutionary Workflow Scheduling in a Dynamic Cloud Environment
Analyzing Gene Expression Data on a 3D Scatter Plot
Wastewater Quality Indicator Estimation Using Machine Learning and Data Augmentation Techniques
Human Detection in Images Captured by UAVs in Natural Environments
Software Sensors for the Monitoring of Bioprocesses
Generation of Restricted Zones for AGVs Routes by Clustering Algorithms
Optimization with the Evolution Strategy by Example of Electrical-Discharge Drilling
Predicting Power Generation from Photovoltaic Energy System
Combinatorial Auctions for Coordination and Control of Manufacturing MAS: Updating Prices Methods
Clustering for Intrusion Detection: Network Scans as a Case of Study
Coordination and Cooperative Learning in Engineering Studies
Classification of Polymers Based on the Degree of Their Transparency in SWIR Spectrum
SVR-Ensemble Forecasting Approach for Ro-Ro Freight at Port of Algeciras (Spain)
Genetic Algorithm Optimization of Lift Distribution in Subsonic Low-Range Designs
Performance and Explainability of Reservoir Computing Models for Industrial Prognosis
Image Compression with Artificial Neural Networks
Classification of SSH Anomalous Connections
Towards a Comprehensive Taxonomy of Cobots: A Tool for Multi-criteria Classification
Automated Semantic Labelling of Images Generated with Deep Diffusion Probabilistic Models
New Approaches of Epidemic Models to Simulate Malware Propagation
A Neural Network Model for Energy Consumption Prediction of CIESOL Bioclimatic Building
Fuzzy-Logic Based Identification of Conventional Two-Lane Roads
Shared Control Framework and Application for European Research Projects
Are Web2.0 Tools Used to Support Learning in Communities of Practice - A Survey of Three Online Communities of Practice
Use of Dynamic Time Warping for a Personalized Tracheal Stent Design
A Comparison of Multivariate Time Series Clustering Methods
Smart, Precision or Digital Agriculture and Farming - Current State of Technology
A Domestic Application of Intelligent Social Computing: The SandS Project
Combined Bayesian Classifiers Applied to Spam Filtering Problem
Acoustic Anomaly Detection Using Convolutional Autoencoders in Industrial Processes
Bio-Inspired System for MRP Production and Delivery Planning in Automotive Industry
Improving Malware Detection with a Novel Dataset Based on API Calls
Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models
The Fuzzy WOD Model with Application to Biogas Plant Location
A Study of Combined Lossy Compression and Person Identification on EEG Signals
Rationalization of Production Order Execution with Use of the Greedy and Tabu Search Algorithms
A Methodology for the Detection of Relevant Single Nucleotide Polymorphism in Prostate Cancer by Means of Multivariate Adaptive Regression Splines and Backpropagation Artificial Neural Networks
Experimental Study on Modified Radial-Based Oversampling
A Deep Learning Architecture for Recognizing Abnormal Activities of Groups Using Context and Motion Information
A Comparison of Two Speech Emotion Recognition Algorithms: Pepper Humanoid Versus Bag of Models
Machine Learning Based System for Detecting Battery State-of-Health
Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method
Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators
Early Breast Cancer Detection by Automated Analysis of Mammograms with Deep Convolutional Networks
Skills Development of Professional Ethics in Engineering Degrees in the European Higher Education Area
Node Location Optimization for Localizing UAVs in Urban Scenarios
Comparison Analysis of Regression Models Based on Experimental and FEM Simulation Datasets Used to Characterize Electrolytic Tinplate Materials
The Application of Metamodels Based on Soft Computing to Reproduce the Behaviour of Bolted Lap Joints in Steel Structures
Empirical Study of the Sensitivity of CACLA to Sub-optimal Parameter Setting in Learning Feedback Controllers
Anomaly Detection of Security Threats to Cyber-Physical Systems: A Study
Energy Predictions for System on a Chip Solutions
Defect Detection in Batavia Woven Fabrics by Means of Convolutional Neural Networks
A Bi-objective Harmony Search Approach for Deploying Cost-Effective Multi-hop Communications over Large-Area Wildfires
MASPI: A Multi Agent System for Prediction in Industry 4.0 Environment
The Isomorphism of Polynomials Problem Applied to Multivariate Quadratic Cryptography
Enhancing API Security Testing Against BOLA and Authentication Vulnerabilities Through an LLM-Enhanced Framework
On Fitness Function Based upon Quasigroups Power Sequences
Control Loop Model of Virtual Company in BPM Simulation
A CA Model for Mobile Malware Spreading Based on Bluetooth Connections
PlagZap: A Textual Plagiarism Detection System for Student Assignments Built with Open-Source Software
The 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024 - Salamanca, Spain, October 9-11, 2024 Proceedings, Volume 1
Feature Selection for Multi-label Classification in Predictive Maintenance
Data Mining for Predicting Traffic Congestion and Its Application to Spanish Data
Online Estimation of the State of Health of a Rechargeable Battery Through Distal Learning of a Fuzzy Model
Following Vortices in Turbulent Channel Flows
Educational Project for the Inclusion of the Scientific Culture in the Bachelor's Degrees
Time-Oriented System to Control Critical Medications
Combined Classifiers with Neural Fuser for Spam Detection
Pattern Recognition in EEG Cognitive Signals Accelerated by GPU
A Relative Positioning Development for an Autonomous Mobile Robot with a Linear Regression Technique
Time Series Data Mining for Network Service Dependency Analysis
Comparative Study of Open Source Database Management Systems to Enable Predictive Maintenance of Autonomous Guided Vehicles
Sparse Representation Based Anomalies Detection in Electrocardiography Signals
Hyperspectral Technology for Oil Spills Detection by Using Artificial Neural Network Classifier
Artificial Neural Network Modeling of a Photovoltaic Module
Social News Website Moderation through Semi-supervised Troll User Filtering
UAV Airframe Classification Using Acceleration Spectrograms
Intelligent Hybrid Controllers for the Blade Angle of Floating Wind Turbines
A Fuzzy Approach for Sentences Relevance Assessment in Multi-document Summarization
First Steps Predicting Execution of Civil Works from Georeferenced Infrastructure Data
Identification of Critical Subgraphs in Drone Airways Graphs by Graph Convolutional Networks
Integration of Manufacturing Functions for SME. Holonic-Based Approach
Interactive Fuzzy Goal Programming Model Based on Differential Evolution for Regional Sustainability Development under Climate
Sound Source Identification in Vehicles Using a Combined Linear-Evolutionary Product Unit Neural Network Model
Addressing Low Dimensionality Feature Subset Selection: ReliefF(-k) or Extended Correlation-Based Feature Selection(eCFS)?
Comparison of LSTM, GRU and Transformer Neural Network Architecture for Prediction of Wind Turbine Variables
The Concept of Ant Colony Algorithm for Scheduling of Flexible Manufacturing Systems
Feature Importance Analysis of Meteorological Weather for Mini Eolic Electrical Power Prediction Using Clustering Information
Immunity-Based Multi-Agent Coalition Formation for Elimination of Oil Spills
Modeling Double Concentric Jets Using Linear and Non-linear Approaches
Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection
A Proposal for Using a Cryptographic National Identity Card in Social Networks
A Comparison of Learning Approaches to Dialogue Management in Conversational Systems
A Metaheuristic Algorithm Guided by Simulation for Optimizing the Static Allocation of Emergency Medical Vehicles
Efficient Short-Term Time Series Forecasting with Regression Trees
A Novel Methodology for the Characterization of Cutting Conditions in Turning Processes Using Machine Learning Models and Acoustic Emission Signals
Non-linear Neural Models to Predict HRC Steel Price in Spain
A PSO Boosted Ensemble of Extreme Learning Machines for Time Series Forecasting
Viscosity Measurement Monitoring by Means of Functional Approximation and Rule Based Techniques
SCADA Network System for the Monitoring and Control of an Electrical Installation Supplied by a Hydro-Generator
Implementation of a Non-linear Fuzzy Takagi-Sugeno Controller Applied to a Mobile Inverted Pendulum
Self-organizing Migration Algorithm on GPU with CUDA
Greedy Algorithms for Network Anomaly Detection
Improvement in Manufacturing Welded Products through Multiple Response Surface Methodology and Data Mining Techniques
Learning Deep Wavelet Networks for Recognition System of Arabic Words
ARIAS: Automated Retinal Image Analysis System
Lab Classes in Chemistry Learning an Artificial Intelligence View
A SMOTE Extension for Balancing Multivariate Epilepsy-Related Time Series Datasets
Swarm Intelligence Methods on Inventory Management
Visually Monitoring the Performance of a Component-Based Robot
Privacy Protection in Trust Models for Agent Societies
Two Way Ranging Positioning Methods Analysis Under Optimized Sensor Deployments
Modelling HTTP Requests with Regular Expressions for Detection of Cyber Attacks Targeted at Web Applications
Genetic Algorithm Based on Support Vector Machines for Computer Vision Syndrome Classification
An Activity-Oriented Petri Net Simulation Approach for Optimization of Dispatching Rules for Job Shop Transient Scheduling
A Virtual Avatar for Sign Language Signing
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study
Classification of Chest Lesions with Using Fuzzy C-Means Algorithm and Support Vector Machines
CPU Computation Influence on Energy Consumption Forecasting Activities of a Building
A Comparison of Techniques for Virtual Concept Drift Detection
A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia
A Security Pattern-Driven Approach toward the Automation of Risk Treatment in Business Processes
OPEM: A Static-Dynamic Approach for Machine-Learning-Based Malware Detection
A Bio-inspired Ensemble Model for Food Industry Applications
Approaching Real-Time Intrusion Detection through MOVICAB-IDS
Burr Detection Using Image Processing in Milling Workpieces
FAST: A High-Performance Architecture for Heterogeneous Big Data Forensics
Photovoltaic Generation Forecasting for Intelligent Management in Energy Communities
Welcome Program for First Year Students at the Faculty of Engineering of Vitoria-Gasteiz. Soft Skills
Novel Positional Encoding Methods for Neural Rendering
New Application of 3D VFH Descriptors in Archaeological Categorization: A Case Study
Genetic Algorithms Combined with the Finite Elements Method as an Efficient Methodology for the Design of Tapered Roller Bearings
Enhancing Confusion Entropy as Measure for Evaluating Classifiers
Descent of a Suborbital Rocket: A Simulation Case Study Using CFD, Parametric Models and Neural Networks
One-Class Classification to Predict the Success of Private-Participation Infrastructure Projects in Europe
SlowReq: A Weapon for Cyberwarfare Operations. Characteristics, Limits, Performance, Remediations
Improvement in the Process of Designing a New Artificial Human Intervertebral Lumbar Disc Combining Soft Computing Techniques and the Finite Element Method
Swarm Modelling Considering Autonomous Vehicles for Traffic Jam Assist Simulation
Dual Learning in the Bachelor's Degree in Automotive Engineering at the Faculty of Engineering of Vitoria-Gasteiz: Quality Requirements
Prostate Cancer Relapse Assessment Based on Optimised Outlier Detection
Deep Learning for Deflectometric Inspection of Specular Surfaces
Aggregation Strategy for Federated Machine Learning Algorithm
Outperforming Genetic Algorithm with a Brute Force Approach Based on Activity-Oriented Petri Nets
Implementation of Background Knowledge and Properties Induced by Fuzzy Confirmation Measures in Apriori Algorithm
Comparison of the Periimplant Bone Stress Distribution on Three Fixed Partial Supported Prosthesis Designs Under Different Loading. A 3D Finite Element Analysis
A Novel Method to Prevent Control System Instability Based on a Soft Computing Knowledge System
Optimal Scheduling of Joint Wind-Thermal Systems
Proposing a New Method for Non-relative Imbalanced Dataset
Evaluating the Low Quality Measurements in Lighting Control Systems
Optimization of Wind Power Producer Participation in Electricity Markets with Energy Storage in a Way of Energy 4.0
Current Research Trends in Robot Grasping and Bin Picking
Towards Adaptive Gamification in Small Online Communities
PUMA: Permission Usage to Detect Malware in Android
Disturbances Based Adaptive Neuro-Control for UAVs: A First Approach
Texture Descriptors for Automatic Classification of Surface Defects of the Hot-Rolled Steel Strip
Using Web 2.0 Tools to Support the Theoretical Constructs of Organisational Learning
Cyclone Performance Prediction Using Linear Regression Techniques
Complementing Direct Speed Control with Neural Networks for Wind Turbine MPPT
Tracking Traitors in Web Services via Blind Signatures
Speed Control of A.C. Drive with Induction Motor Using Genetic Algorithm
Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks
A System Learning User Preferences for Multiobjective Optimization of Facility Layouts
Image Classification Using Contrastive Language-Image Pre-training: Application to Aerial Views of Power Line Infrastructures
An Adaptive Sigmoidal Activation Function Cascading Neural Networks
Takagi-Sugeno Fuzzy Model in Task of Controllers Design
An Efficient Hybrid Soft Computing Approach to the Generalized Vehicle Routing Problem
Time Series Forecasting Using Holt-Winters Model Applied to Anomaly Detection in Network Traffic
A Survey on Static Analysis and Model Checking
Social Engagement Interaction Games Between Children with Autism and Humanoid Robot NAO