Surjit S. Bhalla

Ankur Choudhary

Has the potential to change how cricket is discussed, judged, coached and played.' James Astill. 'A fascinating contribution and a testimony to the observation that sport, life, statistics and obsession can be great fun. ' Lord Nicholas Stern. Who are the best and the greatest batsmen, bowlers, captains, teams and all-rounders in ODI history? How accurately can cricket matches be predicted? Which teams and players perform the best under stress? Who is likely to become the most successful team of this decade and why. Cricket has its glorious uncertainties but some things are less uncertain than commonly believed. Criconomics breaks new ground in cricket research by eliminating subjectivity to bring home intriguing truths for both serious as well as casual fans. It explores what really works in predicting player and team performances and shows how batting and bowling can be evaluated in a symmetrical manner. After reading Criconomics, you will be able to size up batsmen and bowlers, predict first innings scores and chances of successful chases that too, without even having to use a calculator! The book also speculates on the future of Test, ODI and T20 cricket and gives recommendations for all the three forms of cricket to flourish.

Everything You Wanted to Know about Odi Cricket and More

Criconomics

Vishal Jain

Sarika Jain

Ankita Bansal

Abha Jain

Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book: Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing and reliability problems

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

Bhuvan Unhelkar

Hari Mohan Pandey

Arun Prakash Agrawal

This volume comprises the select peer-reviewed proceedings of the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning 2022 (ICAAAIML 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in the areas of artificial intelligence, machine learning, deep learning, and their advanced applications in computer vision and blockchain. It also covers research in core concepts of computers, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, software engineering, image processing, and cloud computing. This volume will provide a valuable resource for those in academia and industry.

Proceedings of ICAAAIML 2022

Advances and Applications of Artificial Intelligence & Machine Learning

Rajasvaran Logeswaran

The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.

Select Proceedings of ICAAAIML 2020

Applications of Artificial Intelligence and Machine Learning

Ankur Choudhary

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