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Optimization and Inventory Management
This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models’ robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game t...
Mathematical Analysis for Transmission of COVID-19
This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi. Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book is beneficial for practitioners, educators, researchers and policymakers handling the crisis of COVID-19 pandemic.
C PROGRAMMING FOR MACHINE LEARNING APPLICATIONS
A computer is a piece of electronic equipment that operates based on the specifications that are provided by the user. In light of the fact that the computer is incapable of comprehending natural language, it is necessary to offer the instructions in a form that can be understood by the computer. Programming language is the name given to this type of language that can be understood by computers. People are able to write instructions in a format that can be interpreted by the computer system through the use of a computer programming language, which is comprised of a set of symbols and letters, words, and grammar rules. The computer the art of making a computer perform the actions that you wan...
Encyclopedia of Information Science and Technology, Third Edition
"This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.
MACHINE LEARNING: APPLICATION AND CHALLENGES
Machine learning, often known as ML, has brought about a revolution in a variety of industries by empowering computers to recognize patterns and draw conclusions from data without the need for explicit programming. Applications of this technology include a wide range of domains, including healthcare, where it is used to assist in the diagnosis of illnesses, the prediction of patient outcomes, and the customization of treatment programs. ML models improve the identification of fraudulent activity, algorithmic trading, and risk assessment in the financial sector. In addition, the technology is used to power recommendation systems in the entertainment and e-commerce industries, which serve to o...
Advances in Industrial and Production Engineering
This book comprises the select proceedings of the 3rd Biennial International Conference on Future Learning Aspects of Mechanical Engineering (FLAME) 2022. It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in industrial and production engineering. Various topics covered include sustainable manufacturing processes, logistics & supply chains, Industry 4.0 practices, circular economy, lean six sigma, agile manufacturing, additive manufacturing, IoT and Big Data in manufacturing, 3D printing, simulation, manufacturing management and automation, surface roughness, multi-objective optimization and modelling for production processes, developments in casting, welding, machining, and machine tools and many more advancements in industrial and production engineering. This volume will prove a valuable resource for those in academia and industry working in the area of industrial and production engineering.
Logistics, Supply Chain and Financial Predictive Analytics
This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector. Divided into twenty chapters, some of the contemporary topics discussed in the book are co-operative/non-cooperative supply chain models for imperfect quality items with trade-credit financing; a non-dominated sorting water cycle algorithm for the cardinality constrained portfolio problem; and determining initial, basic and feasible solutions for transportation problems by means of the “supply demand reparation method” and “continuous allocation method.” In addition, the book delves ...
Advancements in Cybercrime Investigation and Digital Forensics
Vast manpower and resources are needed to investigate cybercrimes. The use of new advanced technologies, such as machine learning combined with automation, are effective in providing significant additional support in prevention of cyber-attacks, in the speedy recovery of data, and in reducing human error. This new volume offers a comprehensive study of the advances that have been made in cybercrime investigations and digital forensics, highlighting the most up-to-date tools that help to mitigate cyber-attacks and to extract digital evidence for forensic investigations to recover lost, purposefully deleted, or damaged files. The chapters look at technological cybersecurity tools such as artificial intelligence, machine learning, data mining, and others for mitigation and investigation.
Entrepreneurship, Collaboration, and Innovation in the Modern Business Era
As businesses seek to compete on a global stage, they must be constantly aware of pressures from all levels: regional, local, and worldwide. The organizations that can best build advantages in diverse environments achieve the greatest success. Entrepreneurship, Collaboration, and Innovation in the Modern Business Era provides emerging research on business practices and business advancement in the current technological environment. While highlighting topics such as enterprise social systems, idea generation, and online recruitment, this publication reveals the various techniques and methods to modernize and revolutionize business organizations. This book is an important resource for business leaders, economists, entrepreneurs, practitioners, researchers, and students seeking current research on the research and discoveries in the field of business expansion.
