This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book explains the essential modules that are necessary for comprehending artificial intelligence experiences to provide machines with the power of vision. The volume also presents innovative research developments, applications, and current trends in the field. The chapters cover such topics as visual quality improvement, Parkinson’s disease diagnosis, hypertensive retinopathy detection through retinal fundus, big image data processing, N-grams for image classification, medical brain images, chatbot applications, credit score improvisation, vision-based vehicle lane detection, damaged vehicle parts recognition, partial image encryption of medical images, and image synthesis. The chapter authors show different approaches to computer vision, image processing, and frameworks for machine learning to build automated and stable applications. Deep learning is included for making immersive application-based systems, pattern recognition, and biometric systems. The book also considers efficiency and comparison at various levels of using algorithms for real-time applications, processes, and analysis.
Providing an introduction to functional analysis, this text treats in detail its application to boundary-value problems and finite elements, and is distinguished by the fact that abstract concepts are motivated and illustrated wherever possible. It is intended for use by senior undergraduates and graduates in mathematics, the physical sciences and engineering, who may not have been exposed to the conventional prerequisites for a course in functional analysis, such as real analysis. Mature researchers wishing to learn the basic ideas of functional analysis will equally find this useful. Offers a good grounding in those aspects of functional analysis which are most relevant to a proper understanding and appreciation of the mathematical aspects of boundary-value problems and the finite element method.
The Indian subcontinent has rich biological diversity in the world owing to its vast geographic area, varied topography and climate. It is classified into 10 biogeographic regions. Amongst the 34 hotspots of the world, two are located on Indian land extending into neighboring countries - the Western Ghats / Sri Lanka and the eastern Himalaya.
Forage crops are important for the economy of our country as these crops provide major nutritional base in the livestock ration. The National Commission on Agriculture has also emphasized in its report that in order to achieve the so-called ‘White Revolution’ it will be necessary to provide required emphasis on research relating to the improvement and management of forages. India’s average availability of milk per head per day comes to only 100 ml as against our requirement of 220 ml per day. With the increase in world human population and economic growth, the demand for animal products such as milk, meat and eggs in the human diet is bound to increase. The success of dairy and poultry programmes will largely depend on the availability of required forages and feeds since almost 60-65% investment is invariably on these essential requirements. A recent estimate indicates that the deficiency in total forage need is about 40% of dry forage and about 24% of green fodder. This deficit is likely to increase further as (i) the area under forage crop is declining because of the pressing problems of growing cereals and other cash crops to meet the increasing pressure of population growth, (ii) the animal population is increasing every year by almost 2% (iii) cultivable land is decreasing due to urbanization and industrial growth and (iv) forages in future are going to have competition from liquid fuel shortage. Recent interests in the development of technology for the economic conversion of cellulosic material to liquid fuels, however, have given rise to estimates of several hundred million metric tons of lignocellulosic material being used annually for their new developments. With the development of these technologies, the impact on ruminants production would be substantial, so there is going to be a vital challenge to meet the requirement of forages in the near future.
The discipline of plant breeding has undergone transformation due to the assimilation of the rapid developments in molecular biology. The existing books on plant breeding deal mainly with the classical approaches, while specialized books on molecular approaches usually lack discussion of the classical methods. The book Plant Breeding for 21st Century attempts to present the complete picture of plant breeding ranging from the classical to the molecular approaches applied to crop improvement. The book is divided into four sections: Classical Plant Breeding, Transgenic technology, Molecular Markers, and Miscellaneous. The first section deals with the classical plant breeding and is divided into eight chapters. The second section has four chapters and describes transgenic technology. The third section discusses various aspects of molecular markers and is spread over three chapters. The final section has a single chapter dealing with variety release, seed multiplication and intellectual property rights. This book is designed primarily for graduate students, viz., B.Sc. agriculture and B.Sc. science students with botany as one of the subjects, who would get their first exposure to plant breeding. It would also be useful for the post-graduate students, especially in botany, and to teachers of the subject. The book is written in simple and easy to understand language. Illustrations and photographs have been provided wherever they were expected to facilitate comprehension of the subject under discussion.
Two experienced and well-known research scientists, each from a vastly different part of the world, have combined their respective expertises to provide the reader with perhaps a unique text which presents an in-depth treatment of the various stress manifestations and an overall discussion of stress in cultivated plants. Professor Bryan McKersie of Canada, who over the years has been active in research, teaching and agricultural application of scientific techniques, has dealt with and described cold, chilling, flooding, desiccation and oxidative stress phenomena: Professor Ya'acov Leshem of Israel, whose research experience and activities have centered around different facets of plant stress, has covered heat, drought, salinity and environmental pollution. Notwithstanding their different research experiences, both authors have cooperated and together have written a well-integrated and up-to-date text describing the major stress factors and problems which are limiting factors for optimal plant growth and hence of yield. The information assembled carefully in this book makes no claim to provide ready-made remedies to overcome the various stresses but in many cases suggests feasible and scientifically applicable approaches and partial solutions for stress coping, some of which are now in the process of being developed. This book is intended for research workers and students of agriculture and horticulture, for plant physiologists and is of overall interest to scientists dealing with stress physiology.
The purpose of this book is to stimulate thinking among corrosion scientists and engineers to examine corrosion mechanisms and corro sion control from another perspective. While the presence of corro sion films in electrochemical corrosion has been recognized for over a century, the contribution of these films to all facets of corrosion has not been explored to a significant degree. Rather the role of films in certain mechanisms (i.e., stress corrosion cracking) has been empha sized, yet almost ignored for other corrosion mechanisms. This is viewed by the author as solely attributable to the lack of investigation into, and an understanding of, the contribution of films to these mech anisms or forms of attack. The lack of emphasis and study of corrosion films and their contribution to all forms of corrosion attack are probably the result of current university instruction that utilizes two popular corrosion texts (Uhlig and Fontana and Greene) for teaching. These texts provide an excellent understanding at the undergraduate level of corrosion funda mentals; however, the major implicit premise in these texts is that bulk properties of an alloy or metal control the corrosion resistance in a particular environment. For many applications and for a simple under standing of corrosion mechanics, this approach is sufficient. Yet, research on corrosion films indicate these films often have an entirely different composition than the bulk metal (ratio of alloying elements).
Providing an introduction to functional analysis, this text treats in detail its application to boundary-value problems and finite elements, and is distinguished by the fact that abstract concepts are motivated and illustrated wherever possible. It is intended for use by senior undergraduates and graduates in mathematics, the physical sciences and engineering, who may not have been exposed to the conventional prerequisites for a course in functional analysis, such as real analysis. Mature researchers wishing to learn the basic ideas of functional analysis will equally find this useful. Offers a good grounding in those aspects of functional analysis which are most relevant to a proper understanding and appreciation of the mathematical aspects of boundary-value problems and the finite element method.
This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book explains the essential modules that are necessary for comprehending artificial intelligence experiences to provide machines with the power of vision. The volume also presents innovative research developments, applications, and current trends in the field. The chapters cover such topics as visual quality improvement, Parkinson’s disease diagnosis, hypertensive retinopathy detection through retinal fundus, big image data processing, N-grams for image classification, medical brain images, chatbot applications, credit score improvisation, vision-based vehicle lane detection, damaged vehicle parts recognition, partial image encryption of medical images, and image synthesis. The chapter authors show different approaches to computer vision, image processing, and frameworks for machine learning to build automated and stable applications. Deep learning is included for making immersive application-based systems, pattern recognition, and biometric systems. The book also considers efficiency and comparison at various levels of using algorithms for real-time applications, processes, and analysis.
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