HORA2019 • 2019
International Congress on Human-Computer Interaction, Optimization and Robotic Applications
Peer Review Statement
Research contributions published in this proceedings were subjected to peer review in accordance with the SETSCI Peer Review Policy. Each peer-reviewed research contribution was evaluated by at least two reviewers before acceptance. Editorial and prefatory material, where present, is not classified as peer-reviewed research content.
Preface
Editorial Content
Not peer reviewed
This retrospective editorial note accompanies the SETSCI Conference Proceedings volume associated with International Congress on Human-Computer Interaction, Optimization and Robotic Applications. The volume is recorded with publication year 2019.
The reconstructed table of contents contains 41 article records in the order of the preserved pagination and titles. 1 of these records are identified as abstract-only. It retains the recorded titles, author order and page references where available. DOI identifiers appear only for records to which one was assigned.
This text was prepared from the migrated bibliographic records to help readers navigate the historical volume. This retrospective note describes the migrated records; it does not reproduce the original historical preface.
The reconstructed table of contents contains 41 article records in the order of the preserved pagination and titles. 1 of these records are identified as abstract-only. It retains the recorded titles, author order and page references where available. DOI identifiers appear only for records to which one was assigned.
This text was prepared from the migrated bibliographic records to help readers navigate the historical volume. This retrospective note describes the migrated records; it does not reproduce the original historical preface.
About the Conference
The International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) is an international and multidisciplinary scientific event that brings together researchers, academics, engineers, industry professionals, and students to present original research, exchange knowledge, and discuss emerging developments in intelligent and interactive technologies.
Organized annually since 2019, ICHORA provides a collaborative platform for exploring the interaction between humans, intelligent systems, computational methods, and autonomous technologies. The congress connects theoretical advances with practical applications and encourages interdisciplinary research that contributes to the development of more intelligent, efficient, secure, and human-centered technological systems.
The scientific scope of ICHORA covers a broad range of areas, including Human-Computer Interaction and User Experience, Artificial Intelligence and Machine Learning, Computer Vision and Multimedia Processing, Natural Language Processing and Speech Technologies, Robotics and Autonomous Systems, Optimization and Computational Intelligence, Internet of Things and Industry 5.0, Data Science and Intelligent Analytics, Cybersecurity and Trustworthy Computing, and Emerging Technologies.
Particular emphasis is placed on the convergence of human-centered computing, artificial intelligence, optimization, and robotics. ICHORA encourages research on technologies that can perceive, learn, reason, optimize, interact, and operate autonomously while addressing the needs and expectations of their users and the environments in which they are deployed.
The congress welcomes both fundamental and applied research, including theoretical studies, experimental research, computational methods, intelligent algorithms, system designs, case studies, and interdisciplinary applications. Emerging areas such as generative and explainable AI, human-robot collaboration, digital twins, smart systems, Industry 5.0, brain-computer interfaces, extended reality, secure AI, and human-AI collaboration are also within the scientific scope of ICHORA.
Beyond the presentation of individual research contributions, ICHORA aims to strengthen international academic exchange, interdisciplinary collaboration, and interaction between academia and industry. By bringing together participants from different countries, institutions, disciplines, and professional backgrounds, the congress creates opportunities for knowledge exchange, new research partnerships, and sustainable international scientific networks.
Through its multidisciplinary scientific community, ICHORA seeks to contribute to the advancement of human-centered, intelligent, autonomous, and optimized technologies and to provide a forum for discussing the technologies that will shape the future of human-machine interaction and intelligent systems.
Organized annually since 2019, ICHORA provides a collaborative platform for exploring the interaction between humans, intelligent systems, computational methods, and autonomous technologies. The congress connects theoretical advances with practical applications and encourages interdisciplinary research that contributes to the development of more intelligent, efficient, secure, and human-centered technological systems.
The scientific scope of ICHORA covers a broad range of areas, including Human-Computer Interaction and User Experience, Artificial Intelligence and Machine Learning, Computer Vision and Multimedia Processing, Natural Language Processing and Speech Technologies, Robotics and Autonomous Systems, Optimization and Computational Intelligence, Internet of Things and Industry 5.0, Data Science and Intelligent Analytics, Cybersecurity and Trustworthy Computing, and Emerging Technologies.
Particular emphasis is placed on the convergence of human-centered computing, artificial intelligence, optimization, and robotics. ICHORA encourages research on technologies that can perceive, learn, reason, optimize, interact, and operate autonomously while addressing the needs and expectations of their users and the environments in which they are deployed.
The congress welcomes both fundamental and applied research, including theoretical studies, experimental research, computational methods, intelligent algorithms, system designs, case studies, and interdisciplinary applications. Emerging areas such as generative and explainable AI, human-robot collaboration, digital twins, smart systems, Industry 5.0, brain-computer interfaces, extended reality, secure AI, and human-AI collaboration are also within the scientific scope of ICHORA.
Beyond the presentation of individual research contributions, ICHORA aims to strengthen international academic exchange, interdisciplinary collaboration, and interaction between academia and industry. By bringing together participants from different countries, institutions, disciplines, and professional backgrounds, the congress creates opportunities for knowledge exchange, new research partnerships, and sustainable international scientific networks.
Through its multidisciplinary scientific community, ICHORA seeks to contribute to the advancement of human-centered, intelligent, autonomous, and optimized technologies and to provide a forum for discussing the technologies that will shape the future of human-machine interaction and intelligent systems.
Scope and Topics
• 3D Printing
• Advanced Human-Machine Interface
• Artificial Intelligence
• Automation and Control Technologies
• Autonomous Systems
• Big Data Processing
• Bioinformatics
• Biomedical Technologies
• Biomimetics
• Biotechnology
• Criminal and Forensic Science
• Cognitive Systems
• Communication Theory
• Communication Networks
• Computer Science
• Computer Vision
• Cybercrime
• Data Mining and Knowledge Discovery
• Data (voice/image/data) Processing and Recognition
• Electrical & Electronics Technologies
• Energy Systems and Energy Management
• Expert Systems
• Evolutionary Computation
• Fuel Cell and Water Splitter
• Fuzzy Logic
• Genetic Algorithms
• Green Energy and Green Technology
• Grid and Cloud Computing
• Hardware Implementations for Intelligent Systems
• Information Security
• Intelligent Applications in Biomedical Engineering
• Intelligent Approaches in Robotic and Automation
• Intelligent Approaches in Signal and Image Processing
• Intelligent Approaches in System Identification/Modeling
• Intelligent Control Systems
• Intelligent Defense/Security Systems
• Intelligent Communications and Networks
• Knowledge Engineering
• Machine Learning and Neural Networks
• Mechanic, Mechatronics and Robotics Systems
• Memetic Computing
• Multimedia Communications
• Nanotechnology and Material Sciences
• Nano and Micro-Electro-Mechanical Systems
• Natural Language Processing
• Neuroscience
• Pattern Recognition
• Recycling Technologies
• Renewable Energy
• Quantum Computing
• Security-Cryptology
• Signal and Image Processing
• Simulation Technologies
• Smart Home
• Smart Grid
• Smart Sensors and Materials
• Software & Hardware Technologies
• Soft Computing and Intelligent Systems
• Source and Channel Coding
• Speech/Audio Processing
• Swarm Intelligence
• Systems Analysis and Design
• Terahertz Spectroscopy and Applications
• Time-frequency Analysis
• Weapon and Ammunition Systems
• Unmanned Aerial Vehicle
• Virtual Reality
• Wireless Communications
• Advanced Human-Machine Interface
• Artificial Intelligence
• Automation and Control Technologies
• Autonomous Systems
• Big Data Processing
• Bioinformatics
• Biomedical Technologies
• Biomimetics
• Biotechnology
• Criminal and Forensic Science
• Cognitive Systems
• Communication Theory
• Communication Networks
• Computer Science
• Computer Vision
• Cybercrime
• Data Mining and Knowledge Discovery
• Data (voice/image/data) Processing and Recognition
• Electrical & Electronics Technologies
• Energy Systems and Energy Management
• Expert Systems
• Evolutionary Computation
• Fuel Cell and Water Splitter
• Fuzzy Logic
• Genetic Algorithms
• Green Energy and Green Technology
• Grid and Cloud Computing
• Hardware Implementations for Intelligent Systems
• Information Security
• Intelligent Applications in Biomedical Engineering
• Intelligent Approaches in Robotic and Automation
• Intelligent Approaches in Signal and Image Processing
• Intelligent Approaches in System Identification/Modeling
• Intelligent Control Systems
• Intelligent Defense/Security Systems
• Intelligent Communications and Networks
• Knowledge Engineering
• Machine Learning and Neural Networks
• Mechanic, Mechatronics and Robotics Systems
• Memetic Computing
• Multimedia Communications
• Nanotechnology and Material Sciences
• Nano and Micro-Electro-Mechanical Systems
• Natural Language Processing
• Neuroscience
• Pattern Recognition
• Recycling Technologies
• Renewable Energy
• Quantum Computing
• Security-Cryptology
• Signal and Image Processing
• Simulation Technologies
• Smart Home
• Smart Grid
• Smart Sensors and Materials
• Software & Hardware Technologies
• Soft Computing and Intelligent Systems
• Source and Channel Coding
• Speech/Audio Processing
• Swarm Intelligence
• Systems Analysis and Design
• Terahertz Spectroscopy and Applications
• Time-frequency Analysis
• Weapon and Ammunition Systems
• Unmanned Aerial Vehicle
• Virtual Reality
• Wireless Communications