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Utilization of AI Technology in Supply Chain Management
The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management. Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively.
Proceedings of Second International Conference in Mechanical and Energy Technology
This book presents selected peer-reviewed papers from the International Conference on Mechanical and Energy Technologies, which was held on October 28–29, 2021, at Galgotias College of Engineering and Technology, Greater Noida, India. The book reports on the latest developments in the field of mechanical and energy technology in contributions prepared by experts from academia and industry. The broad range of topics covered includes aerodynamics and fluid mechanics, artificial intelligence, nonmaterial and nonmanufacturing technologies, rapid manufacturing technologies and prototyping, remanufacturing, renewable energies technologies, metrology and computer-aided inspection, etc. Accordingly, the book offers a valuable resource for researchers in various fields, especially mechanical and industrial engineering, and energy technologies.
Recent Trends In Engineering and Science for Resource Optimization and Sustainable Development
International Conference on Contemporary Trends In Multidisciplinary Research& Innovation (ICCTMRI- 2023) was conducted by Birla Institute of Technology Mesra, Ranchi Off Campus Jaipur, Rajasthan, India. ICCTMRI– 2023 provided a unique opportunity to interact with researchers, academicians, scientists, and specialists in the various research and development fields of Biotechnology and Bioengineering, Management, Animation, Science and Technology across the globe. ICCTMRI– 2023 offered a platform for global experts to gather and interact intensively on the topics of Animation, Biotechnology, Computer Science, Electronics Engineering, Electrical Engineering, Environmental Engineering, Management Practices, and Multimedia and Sciences.
Spectrum
The implementation of open innovation model for creating the independent researcher has a great opportunity to help the revenue generation process for academicians and scholars of the world. Eudoxia Research Centre is known for innovation in different fields of research and the open innovation model of our research centre enables academicians and researchers of 193 countries for developing new research ideas in the professional field. The multidisciplinary international conference INFES 2020 is organized to integrate the resources and knowledge of different universities and research centers into a single platform. In this 21st century, collaboration and joint research from different countrie...
Natural Fiber-Reinforced Hybrid Composites
In the last few decades, natural fibers have received growing attention as an alternative to the synthetic fibers used in the reinforcement of polymeric composites, thanks to their specific properties, low price, health advantages, renewability, and recyclability. Furthermore, natural fibers have a CO2-neutral life cycle, in contrast to their synthetic counterparts. As is widely known, natural fibers also possess some drawbacks, e.g., a hydrophilic nature, low and variable mechanical properties, poor adhesion to polymeric matrices, high susceptibility to moisture absorption, low aging resistance, etc. This implies that their applications are limited to non-structural interior products. To ov...
Diabetes and Fundus OCT
Diabetes and Fundus OCT brings together a stellar cast of authors who review the computer-aided diagnostic (CAD) systems developed to diagnose non-proliferative diabetic retinopathy in an automated fashion using Fundus and OCTA images. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to help reduce the amount of time spent on source-searching and instead focus on actual research and the clinical application. This reference depicts the current clinical understanding of diabetic retinopathy, along with the many scientific advances in understanding this condition. As the role of optical coherence tomography (OCT) in the assessment and management of diabetic retinopathy has become significant in understanding the vireo retinal relationships and the internal architecture of the retina, this information is more critical than ever.
Natural Language Processing and Text Mining
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.
