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      • Trusted Partner
        Animal Welfare in a Changing World
        Medicine
        September 2018

        Animal Welfare in a Changing World

        by Edited by Andrew Butterworth

        Contemporary and challenging, this thought-provoking book outlines a number of the key dilemmas in animal welfare for today's, and tomorrow's, world. The issues discussed range from the welfare of hunted animals, to debates around intensive farming versus sustainability, and the effects of climate and environmental change. The book explores the effects of fences on wild animals and human impacts on carrion animals; the impacts of tourism on animal welfare; philosophical questions about speciesism; and the quality and quantity of animal lives. The welfare impacts of human-animal interactions are explored, including human impacts on marine mammals, fish, wildlife, and companion and farm animals. Animal Welfare in a Changing World provides: Concise, opinion-based views on important issues in animal welfare by world experts and key opinion leaders. Pieces based on experience, which balance evidence-based approaches and the welfare impacts of direct engagement through training, campaigning and education. A wide-ranging collection of examples and descriptions of animal welfare topics which outline dilemmas in the real world, that are sometimes challenging, and not always comfortable reading. This is a 'must-read' book for animal and veterinary scientists, ethologists, policy and opinion leaders, NGOs, conservation biologists and anyone who feels passionately about the welfare of animals

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      • Probability and Algorithms
        Mathematics
        February 1992

        Probability and Algorithms

        by Panel on Probability and Algorithms, National Research Council

        Some of the hardest computational problems have been successfully attacked through the use of probabilistic algorithms, which have an element of randomness to them. Concepts from the field of probability are also increasingly useful in analyzing the performance of algorithms, broadening our understanding beyond that provided by the worst-case or average-case analyses. This book surveys both of these emerging areas on the interface of the mathematical sciences and computer science. It is designed to attract new researchers to this area and provide them with enough background to begin explorations of their own.

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      • Momo in Wonderland with Coding Robot

        Momo in Wonderland with Coding Robot

        by Eun-sil Heo / You-dae Kim

        Momo has fallen to the tale of ‘the Great Big Turnip’ with her coding robot. How can she help with pulling the turnip? Let’s think about the best way to solve the matter! Coding robot says that a well-defined procedure called an algorithm allows to solve a problem. When pulling the giant turnip together, Momo falls to other story – Hansel and Gretel. To help starving Hansel and Gretel, what would be the best way to catch fish? Making a sequence of unambiguous instructions is a part of an algorithms.

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      • Agro-Informatics
        Agriculture & farming
        January 2011

        Agro-Informatics

        by G. Vanitha & M. Kalpana

        Agro-informatics is the application in agriculture with innovative ideas, techniques and scientific knowledge to expand the horizons of the Computer Science. The book contains the details about the information technology applied to management and analysis of agricultural data The book covers the diverse areas ranging from artificial intelligence, artificial neural networks, decision support system, expert system, geographic information system, information system related to agriculture, genetic algorithm, programming language with backend tool to develop softwares The book contains fifteen s that highlight and discuss the various dimensions of agro-informatics. It is hoped that the book will provide the basic and fundamental knowledge of understanding the concepts of Bioinformatics. This book is prepared, taking into consideration the changing needs of the undergraduate curricula of various universities involved in offering courses on agro-informatics The book will also be a guide for the researchers.

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      • Composición algorítmica

        Composición algorítmica

        Matemáticas y ciencias de la computación en la creación musical

        by Jorge Variego

        Since the era of Guido D’Arezzo until our days, music composition with algorithms reinforced the need of transversal thinking in this area, revealing in this way the close relationship with other artistic disciplines, science and technology. From this point of view, Composición algorítmica explores difficulties related to the historic evolution, analysis and application of the algorithmic processes in the composition of music. The book is organised in different independent sections that deal with controversial questions and informal interviews with current composers (David Cope, Roger Dannenberg y Rodrigo Sigal, among others). Far from studying the methods of composition that can be formalised through the analysis of certain works, the book suggests an approach focused on the paradigms that represent systems of composition. The emphasis is on the systems of rules, procedures and instructions and not in the production of the composition per se; this systems are studied (through their analysis), explained and applied in concrete examples. The introduction of the concepts in a circular way, practice-theory-practice, is essential in this book. The present book includes examples of programming codes for the environment SuperCollider that can be downloaded for free from the blog Música y ciencia.

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      • Artificial Intelligence & Soft Computing For Beginners: Practice Workbook
        September 2018

        Artificial Intelligence & Soft Computing For Beginners: Practice Workbook

        by Anindita Das-Bhattacharjee

        Artificial intelligence impacts the society with its diversified application in different domains, such as market segments like stock market, manufacturing or in Research and Development. Artificial intelligence now a days extends its frontier in technology and knowledge. This workbook is made in order to design guidance towards building practical applications and solving them efficiently to achieve an enhanced logical as well as decision making ability in the field of AI. Artificial intelligence covers tasks associated with human intelligence, speech recognition, decision making, visual perception and natural language processing. This book includes each and every segment with appropriate analysis and solution procedure. It covers solution of algorithms, to understand searching techniques to develop appropriate machine learning tool. It also covers, fuzzy logic with brief overview along with solution and Planning and constraint satisfaction problems with explanations. Now a days applicability of AI is extended towards predictive analysis. Hence designing methods of an efficient optimization and prediction tool are provided; which includes Genetic algorithms and artificial neural networks. To understand the chapters in details, related multiple choice questions with most suitable answers are included, in order to make beneficial learning outcome.

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      • Fake people
        Impact of science & technology on society

        Fake people

        Stories of Social Bots and Digital Liars

        by Viola Bachini, Maurizio Tesconi

        Today, on the social media, there is a very high probability of coming across a false profile. As well as individuals who do not state their own identity, social bots can be encountered: these are automated programs which hide algorithms that are so sophisticated that they cannot be distinguished from people in flesh and blood. The social bots, used for a huge variety of purposes, are not all the same: there are the ‘good’ ones, which for example automatically send a tweet in the case of an earthquake, but there are also less virtuous ones… This book tells the story of this variegated universe: from the racist bots of Microsoft to the trolls in the US presidential campaign up to the false followers of Italian politicians, via the swindle of the algorithm which shot up the price of the shares of a phantom company to the stars. It is a fascinating account accompanied by interviews with the most important professionals in the sector, to reveal the challenges faced by those who create the bots and those who hunt them down.

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      • Graph Theory, with an Algorithmic Perspective
        August 2020

        Graph Theory, with an Algorithmic Perspective

        by Gerard Jennhwa Chang, Mu-Tsun Tsai

        Among various research methods of graph theory, the key ones are topology, probability theory, algebraic method, and algorithm. Efficient algorithm can assist the computer to perform fast calculation and is practically valuable. From the mathematical perspective, algorithm is in fact a form of mathematical induction and therefore it can be used to prove theorems. Conversely, an inductive proof of a theorem can be converted into algorithm.

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      • Smart Start: Beginning Coding, Grade K
        August 2022

        Smart Start: Beginning Coding, Grade K

        by Evan-Moor Educational Publishers

        Children will learn important coding concepts with engaging stories and practice activities. Based on the K–12 Computer Science Framework, this dynamic early learning series helps children understand coding concepts to develop a strong foundation in computer science, including computational thinking, problem solving, and critical thinking. Recipient of Creative Child Magazine's 2022 Book of the Year Award, Smart Start: Beginning Coding provides engaging, screen-free coding activities that build foundational skills. Each full-color activity book is organized into eight themed units around one coding concept and includes: Coding stories that demonstrate what coders do and include an audio read-aloud feature Concept pages that connect coding concepts to real-world situations Practice activities that reinforce important coding rules Review pages for every coding concept practiced Coding projects with print-based games and puzzles Mini coding handbook with key terms Computer science concepts and skills help early learners become critical thinkers by practicing the building blocks of thinking such as: Algorithms that design simple steps to solve problems Decomposition that shows how to break down complex problems into smaller ones Sequencing that demonstrates how the order of things is important Pattern recognition that makes connections between similar problems Programming language concepts such as: Debugging that shows how to look for mistakes and correct them Loops that can be used to save time by instructing a computer to repeat an action Children will also practice a variety of readiness skills such as print awareness, visual discrimination, following directions, and fine motor skills. *Includes reward stickers, an audio option for read-alouds, and answer key.

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      • Artificial Intelligence in Agriculture
        Technology, Engineering & Agriculture
        June 2020

        Artificial Intelligence in Agriculture

        by Rajesh Singh & Anita Gehlot, Mahesh Pratap Gehlot & Bhupendra Singh

        This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc.

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      • Artificial Intelligence & Soft Computing For Beginners, Third Edition
        Computing & IT
        July 2018

        Artificial Intelligence & Soft Computing For Beginners, Third Edition

        by Anindita Das-Bhattacharjee

        The course of Artificial Intelligence is taken by all engineering undergraduate and postgraduate students pursuing computer science. Apart from this, it is a popular elective in almost all other branches of engineering. It is also a field chosen for research by many doctoral students. This book has in-depth detail illustration of all the chapters of Artificial Intelligence (AI) with Soft Computing, covering the syllabus of WBUT, Gitam, JNTU, NIT and few different universities. During the course of teaching Artificial Intelligence, the author had found that no textbook covers both Artificial intelligence (AI) with intelligent systems (IS) and soft computing in a comprehensive manner. This book provides a comprehensive coverage of the fundamental concepts and techniques in Artificial Intelligence and Soft Computing with mathematical in depth explanation. The main emphasis is on the solution of real world problems using the latest AI techniques. During teaching artificial intelligence, author realized that the basic text books do not have an organized content according to the syllabus. In this book all the chapters are organized properly and contain a complete coverage. The sequence of the chapters has been set in a manner which would be very easy for the students to understand. The main importance of this book is on the solution of many real world problems. Each chapter contains multiple choice questions with answer and possible explanation. Also some important solutions and answers at the end as “Take a look to be more acquainted with”. In addition, modern and current topic in AI for an example Pattern Recognition, Data Clustering Algorithm, Genetic Algorithm with Data Clustering method, Swarm Intelligence, Tabu Search, Ant Colony Optimization are discussed in details. These concepts may motivate students to do projects .This book contains information about programming languages and the proper syntax with example is provided which may help students to practically apply this programming concepts. Mathematical explanation to understand the concept in detail about Single & Multi objective Genetic Algorithm, Neural Network, Fuzzy Logic is provided. The basic coverage of each and every chapter is mentioned before the chapter as “chapter utility”. This book has been designed in such a manner so that it becomes very easy to understand the language and comprehend not only for computer science department student but also for non departmental student as well.

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      • Communico
        Media studies
        October 2021

        Communico

        Languages, Images, Algorithms

        by Mario Ricciardi

        The book traces a wide-ranging overview of communication: a cultural dimension in which different knowledge converges and merges. The author takes into consideration numerous voices – from McLuhan to Barthes, from Pasolini to Castells, just to name a few – to analyse, first, the processes of civilization from the alphabet to digital technology and to show, then, how the media system takes over society and how, in the age of mass consumption, the critical role of public opinion is weakened by market and advertising. Finally, attention shifts to the leap that leads to our days: the algorithm is the pervasive and dominant technology, the personalization operated by digital communication produces new forms of individual mythologies.

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      • Data Science for Professionals
        Databases
        October 2019

        Data Science for Professionals

        by Prof. N.C. Das

        The book is meant for a wide-spectrum of readership-empirical scientists, consultants, technocrats, advertisers, researchers and students learning Data Science for conducting small replicated or non-replicated experiments / demonstrations. It deals with two-factor three-level designs to be conducted only in six experimental units. For this an exhaustive set of 9c6=9c3 = 84 designs have been generated. Least Square algorithm has been applied for estimating separate effect of each component and their interaction along with fitting of response surface; meeting both the objectives for any factorial experiment. Of them seventy-six could be found as valid or estimable designs and the rest as non-estimable ones. Value of the determinant obtained for Least Square Matrix for each such design has been the indicator of its D-optimality status: the same could also be obtained from geometric structure of the designs. Such exhaustive search ascertains (8+4) D-optimal designs; of them only (1+3) are hitherto known. Also, rotatable feature of any such design does not affect its D-optimality status. A simple method SAME has been devised to meet the said twin objectives, thus escaping matrix formation and related operations. Each such design could be combined to form pair of replicates or blocks of an experiment so as to fetch statistical significance test based on ANOVA and fitting the response surface.

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      • Time-Varying Stochastic Systems: Stability and Adaptive Theory (Second Edition)
        Science & Mathematics
        July 2020

        Time-Varying Stochastic Systems: Stability and Adaptive Theory (Second Edition)

        by GUO Lei

        Time-varying Stochastic Systems widely exist in reality and many random recursive algorithms can also be studied as such systems. The stability, adaptive estimation and adaptive control of such systems are discussed in this book. The book consists of eight chapters, which not only include the classical results of stability and stabilization commonly used, but also focus on the introduction of basic adaptive estimation, filtering and control problems and the theoretical basis of corresponding algorithms, most of which belong to the author’s research results.

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      • Convertible
        Film scripts & screenplays
        August 2020

        Convertible

        by Åshild Norun

        It's 1967, and a young Norwegian family leaves Norway for California, looking for opportunity and the free and easy lifestyle. The young immigrants settle in a nice house in the suburb. The couple both find jobs, and the twin girls go to school. Dad buys a convertible, just like mom always wanted. She invites her three siblings for a Christmas visit. Two of them stay on, and the younger sister finds an American boyfriend. Every one wants a piece of the American pie, but the price gradually dawns on the blue-eyed immigrants, as they discover simmering racial divides and unrest over the Vietnam war, and watch the terrifying assassination of Martin Luther King, Jr. and Robert Kennedy on the nightly news. The American dream is bittersweet.

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      • Numerical Methods
        Numerical analysis
        August 2019

        Numerical Methods

        by Atul Goel

        The book is designed as an introductory undergraduate and graduate course for engineering, science and mathematics students of all desciplines. The Numerical Methods book covers all the major aaspects such as numerical computation; linear system of equations; solutions of algenric and transcendental equations; numerical differentiation; finite differences and interpolation; curve fitting, regression and correlation; numerical integration; and solutions of ordinay and partial differential equations. This book is written in simple and easy language, in systematic manner, student-friendly and numerical problem solving orientation. Balance is maintained between theory and its examples. Each concept can be justified with the help of examples (which is unavailable in other books) as student may come dilemma to find the solution of the concept from other books. So learning is with the help of examples, as examples are the best source to learn and remember that particular problem. At the end of chapters, excercise questions are given.

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      • MACHINE LEARNING : A PRACTITIONER'S APPROACH
        Artificial intelligence

        MACHINE LEARNING : A PRACTITIONER'S APPROACH

        A PRACTITIONER'S APPROACH

        by CHANDRA S.S., VINOD and HAREENDRAN S., ANAND

        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   Case studies and worked-out examples for each machine learning algorithm than any other book   Google Preview: https://bit.ly/3n3WYLy

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      • Artificial Intelligence for Students
        Artificial intelligence
        August 2016

        Artificial Intelligence for Students

        by Subhasree Bhattacharjee

        The book covers 14 chapters altogether. The key concept of AI such as intelligent search, propositional and predicate logic, logic programming, knowledge representation schemes, probabilistic reasoning, planning, machine learning, genetic algorithms, fuzzy systems, natural language processing and knowledge acquisition issues are discussed. This book is unique for its simplicity, clarity of presentation, completeness of questions–solution sets and low volume. Appropriate examples with clear line diagrams is another key feature of this book. History and applications of AI are well described in the book. Blind search, heuristic search techniques, MINIMAX algorithm, logic of proposition and predicate, Logic programming are analysed in a simple manner. Semantic net, frame and script are described with suitable examples.

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