All Stories

  1. Leveraging Blockchain Integrity Mechanisms and IoT Sensors to Boost Internal Process Efficiency in Logistics Management
  2. Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications
  3. Sonar-Based Deep Learning in Underwater Robotics: Overview, Robustness, and Challenges
  4. Enhancing Consumer Insights Through Multimodal Artificial Intelligence and Affective Computing
  5. Exploring the Influence of Virtual Reality on Customer Sentiment Analysis: A Systematic Review
  6. Navigating the Future of Enterprises: Insights into Digital Transformation, Virtual Reality, and the Metaverse
  7. Optimization strategies in SEI: An analysis of SARIMA and additive Holt-Winters models
  8. A Machine Learning as a Service (MLaaS) Approach to Improve Marketing Success
  9. A Systematic Review on Responsible Multimodal Sentiment Analysis in Marketing Applications
  10. Augmented Reality in Omnichannel Marketing: A Systematic Review in the Retail Sector
  11. Deep learning for predicting respiratory rate from physiological signals
  12. Exploring Virtual Reality in Omnichannel Marketing: A Systematic Review
  13. Healing profiles in patients with a chronic diabetic foot ulcer: An exploratory study with machine learning
  14. Analysis of Constructive Heuristics with Cuckoo Search Algorithm, Firefly Algorithm and Simulated Annealing in Scheduling Problems
  15. Windy Energy Production Planning Considering Local Marginal Prices
  16. LSTS Toolchain Framework for Deep Learning Implementation into Autonomous Underwater Vehicle
  17. Roadmap on artificial intelligence and big data techniques for superconductivity
  18. Diagnosis of Electrochemically Exfoliated Nanographite by Infrared and Raman Spectroscopy
  19. A Collision Avoidance Method for Autonomous Underwater Vehicles Based on Long Short-Term Memories
  20. A Novel Approach to the Two-Dimensional Cargo Load Problem
  21. A Review on Artificial Intelligence Applications for Multiple Sclerosis Evaluation and Diagnosis
  22. A Review on Dimensionality Reduction for Machine Learning
  23. Analysing and Modeling Customer Success in Digital Marketing
  24. The Impact of the Size of the Partition in the Performance of Bat Algorithm
  25. Real-Time Automatic Wall Detection and Localization based on Side Scan Sonar Images
  26. Emerging Technologies and Applications for a Smart and Sustainable World
  27. Preface
  28. Machine Learning Methods for Signal, Image and Speech Processing
  29. A Novel Approach for Send Time Prediction on Email Marketing
  30. Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring
  31. Deep Neural Networks Applied to Stock Market Sentiment Analysis
  32. A Self-Parametrization Framework for Meta-Heuristics
  33. A Review on MOEA and Metaheuristics for Feature-Selection
  34. A Tool for Air Cargo Planning and Distribution
  35. Data-Driven Disaster Management in a Smart City
  36. Deep Learning for Big Data
  37. Diagnostics of electrochemically exfoliated nanographite by infrared and Raman spectroscopy
  38. Remote Monitor System for Alzheimer Disease
  39. State of the Art of Wind and Power Prediction for Wind Farms
  40. State of the Art on Advanced Control of Electric Energy Transformation to Hydrogen
  41. Techno-Economic Feasibility Analysis and Optimal Design of Hybrid Renewable Energy Systems Coupled with Energy Storage
  42. Deep Learning in Biomedical and Health Informatics
  43. A Novel Discrete Particle Swarm Optimization Algorithm for the Travelling Salesman Problems
  44. Intelligent Scheduling with Reinforcement Learning
  45. A Hybrid Metaheuristics Parameter Tuning Approach for Scheduling through Racing and Case-Based Reasoning
  46. An Intelligent Monitoring System for Assessing Bee Hive Health
  47. Development of a Reinforcement Learning System to Solve the Job Shop Problem
  48. Solving the Job Shop Scheduling Problem with Reinforcement Learning: A Statistical Analysis
  49. The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care
  50. Intelligent Systems Design and Applications
  51. Hybrid Intelligent Systems
  52. Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)
  53. Analysis of lot-sizing methods’ suitability for different manufacturing application scenarios oriented to MRP and JIT/Kanban environments
  54. Characterizing Parkinson’s Disease from Speech Samples Using Deep Structured Learning
  55. Application of the Simulated Annealing Algorithm to Minimize the makespan on the Unrelated Parallel Machine Scheduling Problem with Setup Times
  56. A Machine Learning Approach to Contact Databases’ Importation for Spam Prevention
  57. Decision Support Tool for Dynamic Scheduling
  58. Deep Reinforcement Learning as a Job Shop Scheduling Solver: A Literature Review
  59. Ontology-Based Meta-model for Hybrid Collaborative Scheduling
  60. Automatic detection of Parkinson’s disease based on acoustic analysis of speech
  61. Model Proposal to Evaluate the Quality of a Production Planning and Control Software in an Industrial Context
  62. An Industry 4.0 oriented tool for supporting dynamic selection of dispatching rules based on Kano model satisfaction scheduling
  63. Preface
  64. The Influence of Problem Specific Neighborhood Structures in Metaheuristics Performance
  65. A Dynamic Selection of Dispatching Rules Based on the Kano Model Satisfaction Scheduling Tool
  66. A low-cost automatic fall prevention system for inpatients
  67. Manufacturing Services Classification in a Decentralized Supply Chain Using Text Mining
  68. Neurodegenerative Diseases Detection Through Voice Analysis
  69. Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016)
  70. Evaluation of the Simulated Annealing and the Discrete Artificial Bee Colony in the Weight Tardiness Problem with Taguchi Experiments Parameterization
  71. Industrial Plant Layout Analyzing Based on SNA
  72. Metaheuristics Parameter Tuning Using Racing and Case-Based Reasoning in Scheduling Systems
  73. Specification of an Architecture for Self-organizing Scheduling Systems
  74. Intelligent Systems Design and Applications
  75. Evaluating the effectiveness of Bayesian and Neural Networks for Adaptive Schedulling Systems
  76. Study on the impact of the NS in the performance of meta-heuristics in the TSP
  77. Self-Optimizing A Multi-Agent Scheduling System: A Racing Based Approach
  78. User modelling in scheduling system with artificial neural networks
  79. Racing based approach for Metaheuristics parameter tuning
  80. Q-learning based hyper-heuristic for scheduling system self-parameterization
  81. Scheduling single-machine problem oriented by Just-in-Time principles — A case study
  82. An integer programming approach for balancing and scheduling in extended manufacturing environment
  83. Scheduling and batching in multi-site flexible flow shop environments
  84. Selection constructive based hyper-heuristic for dynamic scheduling
  85. An ordered heuristic for the allocation of resources in unrelated parallel-machines
  86. A hybrid framework for supporting scheduling in extended manufacturing environments
  87. Using personas for supporting user modeling on scheduling systems
  88. An ordered approach to Minimum Completion Time in unrelated parallel-machines for the makespan optimization
  89. Alternative approaches analysis for scheduling in an Extended Manufacturing Environment
  90. An architecture for user modeling on Intelligent and Adaptive Scheduling Systems
  91. Cooperation Mechanism for Distributed resource scheduling through artificial bee colony based self-organized scheduling system
  92. Manufacturing rush orders rescheduling: a supervised learning approach
  93. Parallel machines scheduling with fuzzy simulated annealing
  94. Prototype of an Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modeling Experience
  95. Ordered minimum completion time heuristic for unrelated parallel-machines problems
  96. Negotiation mechanism for self-organized scheduling system with collective intelligence
  97. Collaborative Framework for Dynamic Scheduling Supporting in Networked Manufacturing Environments
  98. Learning-Assisted Intelligent Scheduling System
  99. Towards Scheduling Optimization through Artificial Bee Colony Approach
  100. Desenvolvimento e avaliação de um interface com o utilizador para um sistema de escalonamento
  101. Self-Optimization module for Scheduling using Case-based Reasoning
  102. Developing Issues for Ant Colony System Based Approach for Scheduling Problems
  103. Tuning Meta-Heuristics Using Multi-agent Learning in a Scheduling System
  104. A User-Centered Interface for Scheduling Problem Definition
  105. Cooperative Scheduling System with Emergent Swarm Based Behavior
  106. Editorial A Successful Change From TNN to TNNLS and a Very Successful Year
  107. Ant Colony System based approach to single machine scheduling problems: Weighted tardiness scheduling problem
  108. Multi-apprentice learning for meta-heuristics parameter tuning in a Multi Agent Scheduling System
  109. Conflicts Management in Retail Systems with Self-Regulation
  110. Meta-heuristics Self-Parameterization in a Multi-agent Scheduling System Using Case-Based Reasoning
  111. Negotiation mechanism for self-organized scheduling system
  112. Self-organization for scheduling in agile manufacturing
  113. Computational Intelligence for Engineering Systems
  114. Scheduling a Cutting and Treatment Stainless Steel Sheet Line with Self-Management Capabilities
  115. Case-based reasoning for Self-Optimizing behavior
  116. Meta-heuristics tunning using CBR for dynamic scheduling
  117. Collective intelligence on dynamic manufacturing scheduling optimization
  118. Intelligent Bio-Inspired system for manufacturing scheduling under uncertainties
  119. Self-optimizing through CBR learning
  120. Self-Optimization for Dynamic Scheduling in Manufacturing Systems
  121. Inter-Machine Cooperation Mechanism for Dynamic Scheduling
  122. MASDScheGATS - Scheduling System for Dynamic Manufacturing Environmemts
  123. A Hybrid Intelligent System for Distributed Dynamic Scheduling
  124. Hybrid Multi-agent System for Cooperative Dynamic Scheduling Through Meta-Heuristics
  125. Hybrid Multi-agent System for Cooperative Dynamic Scheduling Through Meta-Heuristics
  126. Cooperation Mechanism for Team-Work based Multi-Agent System in Dynamic Scheduling through Meta-Heuristics
  127. An Inter-Machine Activity Coordination based Approach for Dynamic Job Shop Scheduling
  128. A Genetic Algorithm for the Dynamic Single Machine Scheduling Problem
  129. Hybrid Meta-Heuristics Based System for Dynamic Scheduling
  130. Hybrid Meta-Heuristics Based System for Dynamic Scheduling
  131. Hybrid Meta-Heuristics Based System for Dynamic Scheduling
  132. Broker's Direct Cost and Time Variables and Expressions
  133. Developing a Multi-Agent System for Dynamic Scheduling Trough Aose Perspective
  134. Resource-oriented scheduling for real world manufacturing systems
  135. A coordination mechanism for real world scheduling problems using genetic algorithms
  136. A GA based scheduling system for dynamic single machine problem