Biswajit brahma (58 résultats)

Soft cover. Etat : New. ISBN:9789390425273.

Etat : New.

Etat : New.

Soft cover. Etat : New. Basics of Bioinformatics is a concise yet inclusive book of bioinformatics for understanding of the essentials of genomics and bioinformatics, and to integrate this with use of computational platforms. Written for students and researchers wishing to develop their knowledge of bioinformatics to facilitate their own research, the basics of genomics and bioinformatics are explained in simple context, followed by practical use of computational tools available to solve biological research problems. Important areas of bioinformatics including mining of biological databases, sequence alignment, gene prediction, molecular phytogenetics, structural bioinformatics, genomics and proteomics are described in the book. The book does not emphasizes the details of computer science or sophisticated programming skills but supports the need of students and researchers wishes to analyse bioinformatics problems. Technical details of work algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations to aid understanding. The authors believe that the book will be useful for easy grasping of computational ideas and subsequent use of existing bioinformatics tools more effectively, and advancement of research goals by envisioning new computational goals in biological researches.…

Etat : New. pp. x + 254.

Etat : New. pp. x + 254.

Hardcover. Etat : New. ISBN:9789386200457.

Etat : New. pp. x + 254.

Hardcover. Etat : New. 1st Edition. Contents: 1. Application of bioinformatics for agriculture and animal science/P. Kumaraswamy. 2. Bioinformatics resources for analysis of genomics and proteomics data/Satendra Singh. 3. Statistical methods for data analysis using SPSS/Manish Sharma and Banti Kumar. 4. Phylogenetic tree and its analysis/Nishant Kumar, Nusrat Nabi Khan and Dhirendra Kumar. 5. Primer designing for polymerase chain reaction/Vikas Mahajan, R.K. Taggar and Nishant Kumar. 6. Analysis of orthologous and paralogous genes in animal genomes/S. De. 7. Drug designing : basic concepts and essential in silico tools/Akhilesh Upgade and Vikas Mahajan. 8. Genome analysis in livestock/D. Chakraborty, Simran Singh, B. Brahma and D. Kumar. 9. Microsatellites and analysis of microsatellite data/Gyanendra Kumar Rai, Diksha Bhandwal, Vibha Raj Shanti and Rakhshan Jeelani. 10. Prediction of tertiary protein structure through homology modelling/Budhayash Gautam.…

Hardcover. Etat : New. Contents: Preface. 1. Introduction. 2. Origin and distribution. 3. Adaptation to cold climate. 4. Reproduction. 5. Nutrition. 6. Management of yak. 7. Production performance. 8. Hybridization and performance of hybrids. 9. Behaviour. 10. Diseases of yak. 11. Future research and conclusion. Rearing of Yak is an eco-friendly economically important tradition in higher elevations. Yak population is more than 10 millions world and signifies a social and cultural fabric of people living mostly in trans-Himalayan range. Yak are reared under free range system and found in alpine and sub-alpine region between 3000-5500m above mean sea level and fed on natural pastures and meadows. They are used as pack and draught animal besides providing milk, meat, hair and hide to the farmers as extra revenue. However, during the last few decades population of yak decline rapidly due to mechanization in agriculture, transportation and poaching of wild yak. This book deals with the details of yak husbandry. It includes specific information like origin and distribution, various adaptive mechanisms which help yak to suit in hilly terrains, harsh and often unfriendly environments of high altitude. Performance in terms of growth, milk and meat production, pack and draught performance, fine and coarse hair production of pure yak and its hybrids with local hilly cows under traditional methods are systematically presented. Feeds and fodders available along with their nutritive value, metabolism of various nutrients, nutrients requirement for various stages of life cycle, management of yak and its hybrids under traditional system and its manipulation to improve the production performance have been discussed in the book. Basic and applied reproduction like estrus synchronization, super ovulation, embryo transfer, assisted reproductive technologies etc. have also been discussed in detail. Behaviour and diseases of the yak also narrated in depth in this book. The detail information have carefully compiled and presented in a manner, so that it can be understandable to the undergraduate and post graduate students, teachers, researcher, extension workers etc, who are involved in yak production worldwide.…

Etat : New.

Etat : New.

Paperback. Etat : Brand New. 424 pages. 6.14x0.96x9.21 inches. In Stock.

Etat : New. Joseph Bamidele Awotunde is a Lecturer with the Computer Science Department, University of Ilorin, Ilorin, Nigeria. He has to his credit over 200 publications in reputable outlets such as Elsevier, Springer, Hindawi, and Taylor &amp Fra.

Etat : New. Joseph Bamidele Awotunde is a Lecturer II at the Computer Science Department, University of Ilorin, Ilorin, Nigeria. He is the author of more than 40 articles, 30 chapters in books, and more than 25 conference proceedings.Kamalakant.

Taschenbuch. Etat : Neu. Neuware - Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.Computational Intelligence in Industry 4.0 and 5.0 Applications examines applications that merge three key disciplines: computational intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using Industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, the IoT, the IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industries 4.0 and 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and 5.0 systems.…

Taschenbuch. Etat : Neu. Neuware - Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 examines the trends in applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, Internet of Things (IoT), IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and Industry 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These trends are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face technical challenges such as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these issues, this book examines trends such as CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems.…

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Etat : New. Joseph Bamidele Awotunde is a Lecturer II at the Computer Science Department, University of Ilorin, Ilorin, Nigeria. He is the author of more than 40 articles, 30 chapters in books, and more than 25 conference proceedings.Kamalakant.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Hardback. Etat : New. Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.Computational Intelligence in Industry 4.0 and 5.0 Applications examines applications that merge three key disciplines: computational intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using Industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, the IoT, the IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industries 4.0 and 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and 5.0 systems.…

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book bridges cutting-edge technology with practical healthcare applications, offering readers a front-row seat to the transformation of patient care, diagnostics, training, and system management. These technologies enhance diagnostics, patient engagement, and care delivery by creating smarter, more connected, and patient-centric systems. This book is organized into four key sections. The first part focuses on AI s role in diagnostics, predictive analytics, and early disease detection, showcasing how machine learning and data analysis improve accuracy and timeliness. The second part investigates metaverse applications, including virtual consultations, immersive therapies, and the design of mobile health (mHealth) solutions tailored for older adults, emphasizing accessibility and inclusivity. The third section presents integrated AI and metaverse solutions, such as digital twins, XR, edge computing, and real-time healthcare deployments, illustrating the potential for dynamic and intelligent care environments. The final part discusses critical issues surrounding data privacy, ethical governance, and security within virtual healthcare settings, highlighting blockchain-enabled approaches to safeguard sensitive information. Aimed at a broad audience of researchers, developers, healthcare providers, and policymakers, this book combines practical examples, theoretical approaches, and case studies to offer a comprehensive roadmap. The synthesis of these emerging technologies envisions a future healthcare paradigm that balances technological innovation with ethical considerations and patient-centered care principles. Whether you are a healthcare professional, technologist, policymaker, or innovator, this book provides invaluable insights into:AI in Smart Healthcare SystemsMetaverse in MedicineAI-Infused Metaverse SolutionsSecurity, Privacy, and EthicsPatient-Centric Healthcare EcosystemsImmersive Healthcare ExperiencesInclusive mHealth DesignEdge, Fog, and Cloud IntegrationNeuroimaging and Predictive Analytics.…