https://novapublishers.com Publisher of Books and Journals in Medicine and Health, Science and Technology and Social Sciences Tue, 31 Jan 2023 15:26:37 +0000 en-US hourly 1 https://wordpress.org/?v=6.1.1 https://novapublishers.com/wp-content/uploads/2018/08/cropped-nova-favicon-32x32.jpg https://novapublishers.com 32 32 https://novapublishers.com/shop/the-future-of-data-mining/ Wed, 12 Oct 2022 14:58:56 +0000 https://novapublishers.com/?post_type=product&p=126444 Cem Ufuk Baytar, PhD - University Lecturer, Management Information Systems, İstanbul Topkapı University, Istanbul, Turkey Series: Research Methodology and Data Analysis BISAC: COM018000; COM021030; COM094000 DOI: https://doi.org/10.52305/KCIN5931 The purpose of this book is to discuss data mining, which is a subset of data science, from a variety of perspectives. With the technological advances of recent years, new software and hardware-based systems are available in most business environments. With these systems, data production continues to increase in personal, corporate, commercial and many other areas. Information systems convert raw data, which alone are not so meaningful, into information after the processes are applied. Database systems are necessary for the storage and management of the information generated. Revealing meaningful relationships hidden in a stack of high-volume data shows the function of data mining. Processing big data has become important to produce information that will support business decisions and be a strategic tool in today’s competitive environment. In this context, the effectiveness of data mining applications is increasing day by day as a decision support system to develop marketing strategies in every sector by identifying customer behavior and target groups. **Order the printed version and SAVE 50% on the e-book with Print+eBook**]]> https://novapublishers.com/shop/speech-recognition-technology-and-applications/ Mon, 15 Aug 2022 18:35:39 +0000 https://novapublishers.com/?post_type=product&p=123770 Vasile-Florian Păiș - Research Institute for Artificial Intelligence ”Mihai Drăgănescu”, Romanian Academy, Bucharest, Romania Series: Computer Science, Technology and Applications BISAC: COM073000; COM042000 DOI: https://doi.org/10.52305/BKWM8996 Speech represents the most natural means of communication between humans. By using Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems, machines also become able to interact with humans using speech. This is of particular importance for building interactive robots or speech-enabled chatbots. This book starts by exploring state-of-the-art ASR and TTS approaches, making use of artificial neural networks, relevant also to low-resource scenarios. Then, it explores the application of speech technology to specific domains, such as the medical domain, human-robot interaction, and even interlinking of speech and text resources using linguistic linked open data (LLOD) principles. The book also provides punctuation restoration techniques, enabling the production of high-quality text transcripts. Included algorithms have low latency and can be parallelized, thus enabling their use in interactive systems. Chapter authors are professors and scientific researchers with experience in building and using natural language processing algorithms and speech applications. **Order the printed version and SAVE 50% on the e-book with Print+eBook**]]> https://novapublishers.com/shop/a-guide-to-design-and-analysis-of-algorithms/ Mon, 18 Jul 2022 19:55:07 +0000 https://novapublishers.com/?post_type=product&p=127985 Soubhik Chakraborty  - Professor, Department of Mathematics, Birla Institute of Technology, Mesra, Jharkhand, India Prashant Pranav - Assistant Professor, Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Jharkhand, India Naghma Khatoon - Assistant Professor, Faculty of Computing and Information Technology, Usha Martin University, Jharkhand, India Sandip Dutta - Professor, Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Jharkhand, India Series: Computer Science, Technology and Applications BISAC: COM014000 DOI: 10.52305/HVZD7283 As there can be more than one algorithm for the same problem, designing and analyzing an algorithm becomes important in order to make it as efficient and robust as possible. This book will serve as a guide to design and analysis of computer algorithms. Chapter One provides an overview of different algorithm design techniques and the various applications of such techniques. Chapter Two reviews the divide and conquer strategy and the algorithm types that employ it. Chapter Three explores greedy algorithms and some problems that can be solved with this approach. Chapter Four discusses in depth the dynamic programming approach. Chapter Five provides a solution to the N-Queens problem utilizing a backtracking approach. Chapter Six elucidates the reader to branch and bound techniques and provides three solutions to problems implementing them. Part II of this book begins with Chapter Seven, where two different approaches to the analysis of algorithms are discussed. Chapter Eight reviews randomized algorithms through an empirical lens. Chapter Nine discusses Master Theorem and the many kinds of problems this Theorem can solve. Chapter Ten, the final chapter, provides notes on the empirical complexity analysis of algorithms. **Order the printed version and SAVE 50% on the e-book with Print+eBook**]]> https://novapublishers.com/shop/machine-learning-analysis-of-qpcr-data-using-r/ Mon, 27 Jun 2022 19:26:58 +0000 https://novapublishers.com/?post_type=product&p=127110 Luigi Marongiu, PhD - Research associate, Viral Oncolytic Group, University of Tübingen, Germany Series: Research Methodology and Data Analysis BISAC: COM021030 DOI: 10.52305/ZSFR3404 The present book will describe how to use machine learning to analyze quantitative PCR data in an objective way and with publicly available tools. The book will also provide an introduction to the practical use of the programming language R. Thus, this work will provide an advanced strategy for the objective analysis of qPCR data suitable for experts in the field and an introduction to qPCR and computational analysis for the students. **Order the printed version and SAVE 50% on the e-book with Print+eBook**]]> https://novapublishers.com/shop/internet-of-everything-smart-sensing-technologies/ Tue, 14 Jun 2022 13:20:35 +0000 https://novapublishers.com/?post_type=product&p=116347 T. Kavitha (Editor) - Professor, Department of Electronics and Communication Engineering, AMC Engineering College, Visvesvaraya Technological University (VTU), Bengaluru, India V. Ajantha Devi (Editor) - Research Head, AP3 Solutions, Chennai, Tamil Nadu, India S. Neelavathy Pari (Editor) - Assistant Professor, Department of Computer Technology, Anna University, MIT Campus, Chennai, India Sakkaravarthi Ramanathan (Editor) - Professor, Computer Science Department, Vanier College, Saint Laurent, Quebec, Canada Series: Internet of Things and Machine Learning BISAC: COM095000 DOI: https://doi.org/10.52305/PNQM1088 The Internet of Things (IoT) refers to a system of interconnected computing devices with sensors, processing ability, and software, which connect and communicate with other devices and systems over the internet or other networks. IoT technology enables applications that perform tasks without human-to-human or human-to-computer interaction, improving efficiency and generating new opportunities. IoT digitalizes industries to improve product quality and cost and creates the potential for a fully networked, human-centered society with healthy economic growth. The concept of Internet of Everything (IoE) goes beyond IoT to include the connections between people, things, data, and processes combined into a common interrelated system, leveraging human and artificial intelligence to improve decisions and experience, and represents the future of IoT technology. Internet of Everything: Smart Sensing Technologies addresses the forefront of study of IoE by presenting state-of-the-art research along with current and future challenges in building new, smart applications. Specific topics covered include sensing, connectivity and communication, knowledge extraction by discovering resources for modeling information, and security and privacy. The sixteen chapters of this book will benefit students, researchers, and others who are interested in the future of this exciting technology. **Order both the printed version and the e-book together and SAVE!**]]> https://novapublishers.com/shop/applying-an-advanced-information-search-and-retrieval-model-in-organisations-research-and-opportunities/ Wed, 25 May 2022 13:00:00 +0000 https://novapublishers.com/?post_type=product&p=116142 Maria del Carmen Cruz Gil (Author) - Professor, Zaragoza University, Facultad de Filosofía y Letras, Spain Series: Computer Science, Technology and Applications BISAC: COM039000; COM031000 DOI: https://doi.org/10.52305/DCIN1587 In our lives, we ​​need information continuously to carry out tasks of any kind (personal, academic, and professional). Depending on the context in which we find ourselves and the time available to carry out the task, emotions such as uncertainty and stress can present in the search process. But the important thing is that when we know the search process, the uncertainty and stress are minimized. In this context, the author investigates existing studies on the search and retrieval of information from the user's perspective. The study turned out to be very complex for two reasons: 1. Scientific literature is widely dispersed in different articles and academic books, even if it was the same search and information retrieval model. 2. Sources are not accessible to all people. As a consequence, the author plans to disseminate the results of this research with the aim of facilitating knowledge and understanding of anyone interested in entering the information search and retrieval process. With the collaboration of Nova Science Publishers, we find ourselves before an affordable, simple, and manageable book. Chapters 1 to 7 outline the search and information retrieval models of the following authors: Belkin, Ingwersen, Ellis, Kuhlthau, Wilson, Dervin, and Byström. In Chapter 8, the author presents her own model for searching and retrieving information. This model is formed by some elements previously seen from the other authors, but also by other novel ones such as the organisation. This is due to the fact that some of the tasks carried out with greater frequency and complexity are those that intervene in our professional tasks, in which scientific studies confirm that an effective organisation cannot be conceived without efficient information management. **Order both the printed version and the e-book together and SAVE!**]]> https://novapublishers.com/shop/neural-network-control-of-vehicles-modeling-and-simulation/ Tue, 10 May 2022 13:00:03 +0000 https://novapublishers.com/?post_type=product&p=116156 Igor Astrov (Author) - Tallinn University of Technology, Estonia Series: Computer Science, Technology and Applications BISAC: COM051240; COM072000 DOI: https://doi.org/10.52305/GXGD6357 In the past few years, considerable interest has been shown and relevant resources have been devoted to the design, development and operation of autonomous aerial, underwater, and sea surface vehicles. The possibility of removing human pilots from danger and the size and cost advantages of autonomous vehicles are indeed attractive, but often have to be compared with the performance that can be attained by human-piloted vehicles, in terms of mission capabilities, efficiency and flexibility. The operation of an autonomous vehicle in an unknown, dynamic and potentially hostile environment is a very complex problem, especially when the autonomous vehicle is required to use its full maneuvering capabilities and to react in real time to changes in the operational environment. A common way of dealing with highly complex systems is via a hierarchical decomposition of the activities to be performed by the autonomous vehicles. However, only limited results can be obtained with this method. Another method is to design a hybrid control system that offers safety and performance guarantees by use of neural control technique. Neural networks appear to offer a new, promising direction toward better understanding of the most difficult control problems that have previously been very difficult or impossible to solve. This book provides basic approaches for the modeling and simulation of neural control systems using the MATLAB/Simulink environment for various types of vehicles, emphasizing realistic dynamics with numerous examples. These types of vehicles include experimental aircraft, self-guided missiles, unmanned miniature helicopters, autonomous underwater vehicles, and more. **Order both the printed version and the e-book together and SAVE!**]]> https://novapublishers.com/shop/cloud-computing-infrastructure-for-enabling-future-technology-advancement/ Fri, 25 Mar 2022 13:00:13 +0000 https://novapublishers.com/?post_type=product&p=113920 Sitendra Tamrakar, PhD (Editor) - Associate Professor, Department of Computer Science and Engineering, Nalla Malla Reddy Engineering College, Hyderabad, Telangana, India Ritesh Dash, PhD (Editor) - School of Electrical & Electronics Engineering, REVA University, Bangalore, Karnataka, India Suraj Sharma, PhD (Editor) - Assistant Professor, International Institute of Information Technology, Bhubaneswar, Odisha, India Series: Computer Science, Technology and Applications BISAC: COM032000; COM091000 DOI: https://doi.org/10.52305/ZUBB8282 Cloud computing solutions have been gaining traction in the commercial world due to their capacity to provide on-demand access to resources, govern the software environment, and augment existing systems. As a result, universities worldwide have included cloud computing and related technologies in their curricula, and information technology organizations are speeding up their skill-set evolution to better prepare for emerging cloud technologies and public expectations, such as new services. The primary goal is to present the most up-to-date information about cloud computing technologies and applications. This book provides a detailed introduction of the research fields, recent work, and open research questions in the emerging field of cloud computing. Also, the present book will look for potential research areas and technologies that will make it easier to build a global market for cloud computing services that support scientific, industrial, business, and consumer applications. The benefits associated with cloud computing are enormous, and for rapid development, there is a massive requirement of research and development in this field. Cloud Computing Infrastructure for Enabling Future Technology Advancement aims to make readers and researchers understand the internals of cloud computing and how cloud technology can be used for enabling future technology development. **Order both the printed version and the e-book together and SAVE!**]]> https://novapublishers.com/shop/computational-intelligence-of-blockchain-systems/ Mon, 21 Mar 2022 18:09:00 +0000 https://novapublishers.com/?post_type=product&p=116458 Series: Computer Science, Technology and Applications BISAC: COM093000 DOI: https://doi.org/10.52305/NNYE5750 This book, entitled Computational Intelligence of Blockchain Systems, emphasizes concepts of computational intelligence and blockchain-based applications. It also presents a detailed discussion on the incorporation of blockchain technology and computational intelligence in implementing smart real-time applications. Furthermore, this book examines the convergence of blockchain and computational intelligence from a research perspective that helps students/research scholars to carry out their research in this direction.  This book comprises chapters that explain the role of blockchain and computational intelligence in Industry 4.0, fake news detection, privacy preservation, voting systems, etc. in a precise way. This precise explanation motivates students to develop their own secure and smart applications in various domains.]]> https://novapublishers.com/shop/blockchain-technology-and-applications-iii/ Tue, 08 Mar 2022 19:12:05 +0000 https://novapublishers.com/?post_type=product&p=113413 Series: Computer Science, Technology and Applications BISAC: COM093000; EDU000000 DOI: https://doi.org/10.52305/JDEF4870 This book is a result of international collaboration on blockchain technology and application possibilities. In 2021, the Research Group Blockchain of Saxion University in the Netherlands conducted several webinars, conferences, masterclasses, and research projects, many of which are detailed in this volume. Whereas the first two volumes of Blockchain Applications and Technology dealt with the technology of blockchain and applications for real estate, this volume provides insights on the impact of blockchain on the financial world, new application possibilities, and an extensive study of blockchain and European higher education systems. This book will contribute to the knowledge of students, researchers, and the work field on an international level to help them enter the next phase of blockchain development. In the coming years, a further acceleration of the development of applications of blockchain and other emerging technologies is expected. **Order both the printed version and the e-book together and SAVE!**]]> https://novapublishers.com/shop/e-records-integrity-requirements/ Thu, 17 Feb 2022 18:48:54 +0000 https://novapublishers.com/?post_type=product&p=112572 Series: Research Methodology and Data Analysis BISAC: COM018000; COM051330 DOI: https://doi.org/10.52305/BALY7555 The worldwide medicines' manufacturing practices regulations depend heavily on reliable data and records. The information properly recorded is the basis for manufacturers to assure the regulatory authorities of product identity, strengths, purity, and safety. The collected electronic records (e-records) also demonstrate that the manufacturing process adheres to the CGMP, including instructions. An element of reliable records is the integrity of such records. For the relevant stakeholders, such unauthorized alterations will be catalogued that the system is without the proper data integrity (DI) controls and would be deemed a noticeable deficiency. As a state or condition, e-records integrity is a measure of the validity and fidelity of related data. Based on the Universal Electronic Records Management (ERM) Requirements, Version 2.03 published by the National Archives and Records Administration (NARA), this book covers the requirements applicable to DI in the medicines’ manufacturing practices regulations, pharmaceutical and biotechnological. This book presents the bounded characterization of e-records handling systems. The reader will have a reference of over fifty-three requirements that need to be agreed upon between the relevant stakeholders. **Order both the printed version and the e-book together and SAVE!**]]> https://novapublishers.com/shop/green-computing-and-its-applications/ Sun, 28 Nov 2021 20:19:56 +0000 https://novapublishers.com/?post_type=product&p=106390 Series: Computer Science, Technology and Applications BISAC: COM037000; COM067000 DOI: https://doi.org/10.52305/ENYH6923 Green computing is the emerging practice of using computing and information technology resources more efficiently while maintaining or improving overall performance. The most common technologies include classification and clustering which are very much in use to predict data. These algorithms also pave the way for overcoming the challenges we face in daily life. Huge data sets are classified and clustered to find out the accurate result. The accuracy and error rate are also calculated for regression, classification and clustering to find out the actual result. The applications include fraud detection, image processing, medical diagnosis, predicting weather etc. Going further, the applications have been increasing in different areas and fields. This book is intended for industrial and academic researchers, scientists and engineers in information technology, green computing, data science, and machine and deep learning.]]>