All Stories

  1. A systematic literature review on Web3 applications in trucking logistics: Impacts and emerging trends in logistics 5.0
  2. Leveraging Blockchain Integrity Mechanisms and IoT Sensors to Boost Internal Process Efficiency in Logistics Management
  3. Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications
  4. Sonar-Based Deep Learning in Underwater Robotics: Overview, Robustness, and Challenges
  5. ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
  6. Exploring multimodal learning applications in marketing: A critical perspective
  7. Enhancing Consumer Insights Through Multimodal Artificial Intelligence and Affective Computing
  8. Exploring the Influence of Virtual Reality on Customer Sentiment Analysis: A Systematic Review
  9. Computer Vision for Accessible Intelligent Rehabilitation: An Overview
  10. Developing a Support Tool for Aggregate Production Planning
  11. Multimodal Learning Applications on Digital Marketing: A Review
  12. SMS Send Frequency Prediction: A Case Study
  13. Training needs assessment for the design of health care digital transformation courses in EU
  14. Navigating the Future of Enterprises: Insights into Digital Transformation, Virtual Reality, and the Metaverse
  15. Optimization strategies in SEI: An analysis of SARIMA and additive Holt-Winters models
  16. A Machine Learning as a Service (MLaaS) Approach to Improve Marketing Success
  17. A Systematic Review on Responsible Multimodal Sentiment Analysis in Marketing Applications
  18. Augmented Reality in Omnichannel Marketing: A Systematic Review in the Retail Sector
  19. Deep learning for predicting respiratory rate from physiological signals
  20. Exploring Virtual Reality in Omnichannel Marketing: A Systematic Review
  21. Healing profiles in patients with a chronic diabetic foot ulcer: An exploratory study with machine learning
  22. Analysis of Constructive Heuristics with Cuckoo Search Algorithm, Firefly Algorithm and Simulated Annealing in Scheduling Problems
  23. Windy Energy Production Planning Considering Local Marginal Prices
  24. LSTS Toolchain Framework for Deep Learning Implementation into Autonomous Underwater Vehicle
  25. Roadmap on artificial intelligence and big data techniques for superconductivity
  26. Diagnosis of Electrochemically Exfoliated Nanographite by Infrared and Raman Spectroscopy
  27. A Collision Avoidance Method for Autonomous Underwater Vehicles Based on Long Short-Term Memories
  28. A Novel Approach to the Two-Dimensional Cargo Load Problem
  29. A Review on Artificial Intelligence Applications for Multiple Sclerosis Evaluation and Diagnosis
  30. A Review on Dimensionality Reduction for Machine Learning
  31. Analysing and Modeling Customer Success in Digital Marketing
  32. The Impact of the Size of the Partition in the Performance of Bat Algorithm
  33. Real-Time Automatic Wall Detection and Localization based on Side Scan Sonar Images
  34. Emerging Technologies and Applications for a Smart and Sustainable World
  35. Preface
  36. Machine Learning Methods for Signal, Image and Speech Processing
  37. A Novel Approach for Send Time Prediction on Email Marketing
  38. Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring
  39. Deep Neural Networks Applied to Stock Market Sentiment Analysis
  40. A Self-Parametrization Framework for Meta-Heuristics
  41. A Review on MOEA and Metaheuristics for Feature-Selection
  42. A Tool for Air Cargo Planning and Distribution
  43. Data-Driven Disaster Management in a Smart City
  44. Deep Learning for Big Data
  45. Diagnostics of electrochemically exfoliated nanographite by infrared and Raman spectroscopy
  46. Remote Monitor System for Alzheimer Disease
  47. State of the Art of Wind and Power Prediction for Wind Farms
  48. State of the Art on Advanced Control of Electric Energy Transformation to Hydrogen
  49. Techno-Economic Feasibility Analysis and Optimal Design of Hybrid Renewable Energy Systems Coupled with Energy Storage
  50. Deep Learning in Biomedical and Health Informatics
  51. A Novel Discrete Particle Swarm Optimization Algorithm for the Travelling Salesman Problems
  52. Intelligent Scheduling with Reinforcement Learning
  53. A Hybrid Metaheuristics Parameter Tuning Approach for Scheduling through Racing and Case-Based Reasoning
  54. An Intelligent Monitoring System for Assessing Bee Hive Health
  55. Development of a Reinforcement Learning System to Solve the Job Shop Problem
  56. Solving the Job Shop Scheduling Problem with Reinforcement Learning: A Statistical Analysis
  57. The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care
  58. Intelligent Systems Design and Applications
  59. Hybrid Intelligent Systems
  60. Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)
  61. Analysis of lot-sizing methods’ suitability for different manufacturing application scenarios oriented to MRP and JIT/Kanban environments
  62. Characterizing Parkinson’s Disease from Speech Samples Using Deep Structured Learning
  63. Application of the Simulated Annealing Algorithm to Minimize the makespan on the Unrelated Parallel Machine Scheduling Problem with Setup Times
  64. A Machine Learning Approach to Contact Databases’ Importation for Spam Prevention
  65. Decision Support Tool for Dynamic Scheduling
  66. Deep Reinforcement Learning as a Job Shop Scheduling Solver: A Literature Review
  67. Ontology-Based Meta-model for Hybrid Collaborative Scheduling
  68. Automatic detection of Parkinson’s disease based on acoustic analysis of speech
  69. Model Proposal to Evaluate the Quality of a Production Planning and Control Software in an Industrial Context
  70. An Industry 4.0 oriented tool for supporting dynamic selection of dispatching rules based on Kano model satisfaction scheduling
  71. Preface
  72. The Influence of Problem Specific Neighborhood Structures in Metaheuristics Performance
  73. A Dynamic Selection of Dispatching Rules Based on the Kano Model Satisfaction Scheduling Tool
  74. A low-cost automatic fall prevention system for inpatients
  75. Manufacturing Services Classification in a Decentralized Supply Chain Using Text Mining
  76. Neurodegenerative Diseases Detection Through Voice Analysis
  77. Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016)
  78. Evaluation of the Simulated Annealing and the Discrete Artificial Bee Colony in the Weight Tardiness Problem with Taguchi Experiments Parameterization
  79. Industrial Plant Layout Analyzing Based on SNA
  80. Metaheuristics Parameter Tuning Using Racing and Case-Based Reasoning in Scheduling Systems
  81. Specification of an Architecture for Self-organizing Scheduling Systems
  82. Intelligent Systems Design and Applications
  83. Evaluating the effectiveness of Bayesian and Neural Networks for Adaptive Schedulling Systems
  84. Study on the impact of the NS in the performance of meta-heuristics in the TSP
  85. Self-Optimizing A Multi-Agent Scheduling System: A Racing Based Approach
  86. User modelling in scheduling system with artificial neural networks
  87. Racing based approach for Metaheuristics parameter tuning
  88. Q-learning based hyper-heuristic for scheduling system self-parameterization
  89. Scheduling single-machine problem oriented by Just-in-Time principles — A case study
  90. An integer programming approach for balancing and scheduling in extended manufacturing environment
  91. Scheduling and batching in multi-site flexible flow shop environments
  92. Selection constructive based hyper-heuristic for dynamic scheduling
  93. An ordered heuristic for the allocation of resources in unrelated parallel-machines
  94. A hybrid framework for supporting scheduling in extended manufacturing environments
  95. Using personas for supporting user modeling on scheduling systems
  96. An ordered approach to Minimum Completion Time in unrelated parallel-machines for the makespan optimization
  97. Alternative approaches analysis for scheduling in an Extended Manufacturing Environment
  98. An architecture for user modeling on Intelligent and Adaptive Scheduling Systems
  99. Cooperation Mechanism for Distributed resource scheduling through artificial bee colony based self-organized scheduling system
  100. Manufacturing rush orders rescheduling: a supervised learning approach
  101. Parallel machines scheduling with fuzzy simulated annealing
  102. Prototype of an Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modeling Experience
  103. Ordered minimum completion time heuristic for unrelated parallel-machines problems
  104. Negotiation mechanism for self-organized scheduling system with collective intelligence
  105. Collaborative Framework for Dynamic Scheduling Supporting in Networked Manufacturing Environments
  106. Learning-Assisted Intelligent Scheduling System
  107. Towards Scheduling Optimization through Artificial Bee Colony Approach
  108. Desenvolvimento e avaliação de um interface com o utilizador para um sistema de escalonamento
  109. Self-Optimization module for Scheduling using Case-based Reasoning
  110. Developing Issues for Ant Colony System Based Approach for Scheduling Problems
  111. Tuning Meta-Heuristics Using Multi-agent Learning in a Scheduling System
  112. A User-Centered Interface for Scheduling Problem Definition
  113. Cooperative Scheduling System with Emergent Swarm Based Behavior
  114. Editorial A Successful Change From TNN to TNNLS and a Very Successful Year
  115. Ant Colony System based approach to single machine scheduling problems: Weighted tardiness scheduling problem
  116. Multi-apprentice learning for meta-heuristics parameter tuning in a Multi Agent Scheduling System
  117. Conflicts Management in Retail Systems with Self-Regulation
  118. Meta-heuristics Self-Parameterization in a Multi-agent Scheduling System Using Case-Based Reasoning
  119. Negotiation mechanism for self-organized scheduling system
  120. Self-organization for scheduling in agile manufacturing
  121. Computational Intelligence for Engineering Systems
  122. Scheduling a Cutting and Treatment Stainless Steel Sheet Line with Self-Management Capabilities
  123. Case-based reasoning for Self-Optimizing behavior
  124. Meta-heuristics tunning using CBR for dynamic scheduling
  125. Collective intelligence on dynamic manufacturing scheduling optimization
  126. Intelligent Bio-Inspired system for manufacturing scheduling under uncertainties
  127. Self-optimizing through CBR learning
  128. Self-Optimization for Dynamic Scheduling in Manufacturing Systems
  129. Inter-Machine Cooperation Mechanism for Dynamic Scheduling
  130. MASDScheGATS - Scheduling System for Dynamic Manufacturing Environmemts
  131. A Hybrid Intelligent System for Distributed Dynamic Scheduling
  132. Hybrid Multi-agent System for Cooperative Dynamic Scheduling Through Meta-Heuristics
  133. Hybrid Multi-agent System for Cooperative Dynamic Scheduling Through Meta-Heuristics
  134. Cooperation Mechanism for Team-Work based Multi-Agent System in Dynamic Scheduling through Meta-Heuristics
  135. An Inter-Machine Activity Coordination based Approach for Dynamic Job Shop Scheduling
  136. A Genetic Algorithm for the Dynamic Single Machine Scheduling Problem
  137. Hybrid Meta-Heuristics Based System for Dynamic Scheduling
  138. Hybrid Meta-Heuristics Based System for Dynamic Scheduling
  139. Hybrid Meta-Heuristics Based System for Dynamic Scheduling
  140. Broker's Direct Cost and Time Variables and Expressions
  141. Developing a Multi-Agent System for Dynamic Scheduling Trough Aose Perspective
  142. Resource-oriented scheduling for real world manufacturing systems
  143. A coordination mechanism for real world scheduling problems using genetic algorithms
  144. A GA based scheduling system for dynamic single machine problem