When young Ricardo leaves the Brazilian town of Recife on an important mission, and sets sail on MV Castle to Ecuador, little does the crew on board know what the journey has in store for them. In a shocking turn of events, the Castle disappears with the Master on board, Captain Rajan Murthy, while the crew is sent back home. Has the ship been hijacked, stolen or simply gone down in the high seas? Inspector Jose Carlos sets out with his international team of ace sleuths to get to the bottom of the Castle's disappearance. As the plot unravels between Rio, Rizhao, Curacao and Montserrat, the International Marine and the UN Security Council prepare for an eventuality beyond their imagination - a page-turner!
The present book is primarily intended for undergraduate and postgraduate students of computer science and engineering, information technology, and electrical and electronics engineering. It bridges the gaps in knowledge of the seemingly difficult areas of machine learning and nature inspired computing. The text is written in a highly interactive manner, which satisfies the learning curiosity of any reader. Content of the text has been diligently organized to offer seamless learning experience. The text begins with introduction to machine learning, which is followed by explanation of different aspects of machine learning. Various supervised, unsupervised, reinforced and nature inspired learning techniques are included in the text book with numerous examples and case studies. Different aspects of new machine learning and nature inspired learning algorithms are explained in-depth. The well-explained algorithms and pseudo codes for each topic make this book useful for students. The book also throws light on areas like prediction and classification systems. Key Features • Day to day examples and pictorial representations for deeper understanding of the subject • Helps readers easily create programs/applications • Research oriented approach • More case studies and worked-out examples for each machine learning algorithm than any other book
Over Nearly Four Decades Of Their Chequered History, Co-Operative Agriculture And Rural Development (Card) Banks Have Been Able To Emerge As An Outstanding Co-Operative Institution, Catering Exclusively To The Investment Credit Needs Of The Rural Areas. The Kerala Card Bank Is Considered To Be The Best Among The Developing Banks Based On Its Outstanding Performance In Terms Of Many Indicators Like The Quantum Of Advances Made, Reserves, Profit, Small Farmer Coverage Etc. It Has Diversified Its Activities So As To Cover And Assist Rural Artisans, Small Scale Industrialists And Has Also Launched The Financing Of Rural Housing.The Study Examines The Role Of The Bank In Meeting The Long Term Credit Requirements Of The Rural Masses In The State. It Has Also Examined The Impact Of Lending, And The Utilisation And Recovery Pattern Of Loan Advanced.The Study Makes A Brilliant Exposition Of All These Issues And Highlights The Real Problem Prevailing At The Beneficiary Level. The Author Has Used Various Statistical Tools To Make The Study Scientific And Accurate. This Book Should Be Of Vital Importance To Policy Makers And Researchers.
Primarily intended for the undergraduate and postgraduate students of computer science and engineering, this textbook (earlier titled as Artificial Intelligence and Machine Learning), now in its second edition, bridges the gaps in knowledge of the seemingly difficult areas of artificial intelligence. This book promises to provide the most number of case studies and worked-out examples among the books of its genre. The text is written in a highly interactive manner which fulfils the curiosity of any reader. Moreover, the content takes off from the introduction to artificial intelligence, which is followed by explaining about intelligent agents. Various problem-solving strategies, knowledge representation schemes are also included with numerous case studies and applications. Different aspects of learning, nature-inspired learning, along with natural language processing are also explained in depth. The algorithms and pseudo codes for each topic make this book useful for students. Book also throws light into areas like planning, expert system and robotics. Book concludes with futuristic artificial intelligence, which explains the fascinating applications, that the world will witness in coming years. KEY FEATURES • Day-to-day examples and practical representations for deeper understanding of the subject. • Learners can easily implement the AI applications. • Effective and useful case studies and worked-out examples for AI problems. Target Audience • Students of B.E./B.Tech Computer Science Engineering • Students of M.E./M.Tech Computer Science Engineering
Artificial intelligence (AI) is playing an increasingly larger role in production and manufacturing engineering. Much of this growth is the result of special-purpose computer controlled machines that are dominating modem manufacturing operations, such as computer numerically controlled machines and robots, and production activities, such as materials handling and process planning. Since a great deal of production and manufacturing engineering knowledge can be put in the form of rules, expert systems have emerged as a promising practical tool of AI in solving manufacturing and production engineering problems. The expert systems allow knowledge to be used for constructing human-machine systems that have specialized methods and techniques for solving problems in a particular application area. Over the years, many expert systems have been developed for applications in manufacturing and production engineering. Most of these expert systems, however, have been of little use to practitioners at large. The primary reason for this limited utility is that in most cases the developers do not divulge the knowledge base and inference mechanism that form the backbone of an expert system. Without the knowledge base, users can only derive a very limited benefit from an expert system and, for all practical purposes, a technical publication describing the expert system for the reader merely becomes a publicity brochure. The reader must either develop his own knowledge base or purchase the system from the developer, often at a substantial cost.
World Congress on Disaster Management (WCDM) brings researchers, policy makers and practitioners from around the world in the same platform to discuss various challenging issues of disaster risk management, enhance understanding of risks and advance actions for reducing risks and building resilience to disasters. The fifth WCDM deliberates on three critical issues that pose the most serious challenges as well as hold the best possible promise of building resilience to disasters. These are Technology, Finance, and Capacity. WCDM has emerged as the largest global conference on disaster management outside the UN system. The fifth WCDM was attended by more than 2500 scientists, professionals, policy makers, practitioners all around the world despite the prevalence of pandemic.
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