Aims and Scope

Research on Intelligent Manufacturing and Assembly (RIMA) (eISSN: 2972-3329) is an international, peer-reviewed, open access journal dedicated to the latest advancements in intelligent manufacturing and assembly. RIMA serves as a critical bridge between cutting-edge research and practical applications, fostering collaboration between the academic community and industry practitioners. The journal aims to publish high-impact research that pushes the boundaries of knowledge in the design, analysis, manufacturing, and operation of intelligent systems and equipment. RIMA focuses on innovative technologies and methodologies that are transforming the manufacturing landscape, driving efficiency, precision, and sustainability in industrial processes. By publishing rigorous research and fostering a vibrant community of scholars and practitioners, RIMA aims to be the go-to resource for advancing the state-of-the-art in intelligent manufacturing and assembly.

Topics of interest include, but are not limited to the following:
• Digital design and manufacturing
• Theories, methods, and systems for intelligent design
• Advanced processing techniques
• Modelling, control, optimization, and scheduling of systems
• Manufacturing system simulation and digital twin technology
• Industrial control systems and the industrial Internet of Things (IIoT)
• Safety and reliability assessment
• Robotics and automation
• Artificial intelligence and machine learning in manufacturing
• Supply chain optimization and management
• Additive manufacturing and materials science
• Cybersecurity and data privacy in manufacturing
• Sustainability and circular economy in manufacturing
• Bio-fabrication and other advanced manufacturing methods
• Digital Workforce and Automation
etc.

Vol 3 No 1 (2024)

Published: 2024-09-19

Abstract views: 0   PDF downloads: 0  
2024-10-22

Page 100-108

Unleashing the potential of AI in modern healthcare: Machine learning algorithms and intelligent medical robots

blankpage Rizwan Ali, Haiyan Cui

Artificial intelligence (AI) is playing an increasingly vital role in transforming the medical field, particularly in areas like medical imaging, clinical decision-making, pathology, and minimally invasive surgery. The rapid growth of medical data and the continuous refinement of machine learning algorithms have propelled AI's integration into healthcare. This study explores the advancements and applications of AI, specifically machine learning algorithms and intelligent medical robots, in enhancing diagnostics, treatment, and healthcare delivery. A comprehensive review of current AI applications in healthcare, including its use in medical imaging, pathology, clinical decision-making, and robotic-assisted surgery, was conducted. AI technologies such as the Da Vinci Surgical Robot and machine learning-based diagnostic tools have significantly improved diagnostic accuracy and the precision of minimally invasive surgeries. AI-driven systems also contributed to better clinical decision support, faster recovery times for patients, and more accurate treatment plans. Overall, AI, through machine learning algorithms and intelligent medical robots, is revolutionizing healthcare by offering promising improvements in diagnostics, surgical precision, and patient care.

Abstract views: 305   PDF downloads: 61  
2024-09-19
blankpage

Pages 94-99

Aspects of information and spiritual similarity of real and virtual spaces

blankpage Evgeniy Bryndin

The results of numerous studies demonstrate the possibility of using the same approaches to studying real and virtual space in the context of their spatial perception. The study of virtual space can be carried out using the same parameters as physical space, and they should be considered equivalent. Virtual space is only one of the strategies for information copying of real space, the result of an irresistible human need to expand the horizons of research. Virtual space does not pose any threat to reality if we interpret the virtual environment as a transformation of the real environment, a new way of studying the mutual penetration of the virtual and real worlds. Learning to navigate in virtual space leads to safer life in real space.

View All Issues
Matthew_Chin_Heng_Chua-photo  eISSN: 2972-3329
 Abbreviation: Res Intell Manuf Assem
 Editor-in-Chief: Prof. Matthew Chin Heng Chua (Singapore)
 Publishing Frequency: Continuous publication
 Article Processing Charges (APC): 0

 Publishing Model:
Open Access