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Thriving in a Data World
This book focuses on the foundations needed to be successful in managing and engaging with data analytics initiatives, bridging the gap between creators and users of data. Currently, every company, no matter its size, is data-driven in one way or another; using data to improve customer experience, as a new value stream, and to stay competitive. However, many business leaders, professionals, and students--such as executives, business analysts, UI/UX designers, project managers and marketing teams --are forced to interact with data and those who generate data, without being taught the general competencies needed to feel comfortable having these conversations. This book focuses on the foundatio...
IB World Schools Yearbook 2013
There are currently more than 3600 IB World Schools and this number is growing annually. The IB World Schools Yearbook is the official guide to schools authorised to offer the International Baccalaureate Primary Years, Middle Years Diploma and Programmes. It tells you where the schools are and what they offer, and provides up-to-date information about the IB programmes and the International Baccalaureate. This is an ideal reference for schools administration, parents and education ministries worldwide as it: provides a comprehensive reference of IB World Schools for quick and easy access raises the profile of schools within the IB World School community, and beyond reinforces a sense of belonging to the IB World School community
Engineering Chemistry
Written in lucid language, the book offers a detailed treatment of fundamental concepts of chemistry and its engineering applications.
Thriving in a Data World
This book focuses on the foundations needed to be successful in managing and engaging with data analytics initiatives, bridging the gap between creators and users of data. Currently, every company, no matter its size, is data-driven in one way or another; using data to improve customer experience, as a new value stream, and to stay competitive. However, many business leaders, professionals, and students—such as executives, business analysts, UI/UX designers, project managers and marketing teams —are forced to interact with data and those who generate data, without being taught the general competencies needed to feel comfortable having these conversations. This book focuses on the foundat...
Real-Time Applications of Machine Learning in Cyber-Physical Systems
Technological advancements of recent decades have reshaped the way people socialize, work, learn, and ultimately live. The use of cyber-physical systems (CPS) specifically have helped people lead their lives with greater control and freedom. CPS domains have great societal significance, providing crucial assistance in industries ranging from security to healthcare. At the same time, machine learning (ML) algorithms are known for being substantially efficient, high performing, and have become a real standard due to greater accessibility, and now more than ever, multidisciplinary applications of ML for CPS have become a necessity to help uncover constructive solutions for real-world problems. Real-Time Applications of Machine Learning in Cyber-Physical Systems provides a relevant theoretical framework and the most recent empirical findings on various real-time applications of machine learning in cyber-physical systems. Covering topics like intrusion detection systems, predictive maintenance, and seizure prediction, this book is an essential resource for researchers, machine learning professionals, independent researchers, scholars, scientists, libraries, and academicians.
Artificial Intelligence for Smart Healthcare
This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.
Advances in Life Sciences
Pleads For Science To Be Studied With An Integrated Approach. Presents 75 Research Papers In Different Fields Of Science-The Aims Is To Help The Scholars To Overtake Research, Training And Consultancy In Proverty Areas Of Science And Technology And Evolve Relevant Data Bases, Methodologies And Policy Frameworks In The Science And Technology Areas.
Applications of Computational Science in Artificial Intelligence
Computational science, in collaboration with engineering, acts as a bridge between hypothesis and experimentation. It is essential to use computational methods and their applications in order to automate processes as many major industries rely on advanced modeling and simulation. Computational science is inherently interdisciplinary and can be used to identify and evaluate complicated systems, foresee their performance, and enhance procedures and strategies. Applications of Computational Science in Artificial Intelligence delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. It also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions. Covering a range of topics such as high-performance computing and software infrastructure, this reference work is ideal for software engineers, practitioners, researchers, scholars, academicians, instructors, and students.
Challenges and Applications for Hand Gesture Recognition
Due to the rise of new applications in electronic appliances and pervasive devices, automated hand gesture recognition (HGR) has become an area of increasing interest. HGR developments have come a long way from the traditional sign language recognition (SLR) systems to depth and wearable sensor-based electronic devices. Where the former are more laboratory-oriented frameworks, the latter are comparatively realistic and practical systems. Based on various gestural traits, such as hand postures, gesture recognition takes different forms. Consequently, different interpretations can be associated with gestures in various application contexts. A considerable amount of research is still needed to introduce more practical gesture recognition systems and associated algorithms. Challenges and Applications for Hand Gesture Recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source is ideal for researchers, academicians, scholars, industry professionals, engineers, instructors, and students.
Manushi
A journal about women and society.
