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Books in Computer science

21-30 of 3182 results in All results

Advances in Cancer Biomarkers Research

  • 1st Edition
  • October 1, 2024
  • Anand Narayan Singh + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 2 5 8 - 3
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 2 5 9 - 0
Advances in Cancer Biomarkers Research provides a thorough and detailed description of cancer biomarkers for diagnostic, prognostic and therapeutics in several cancer types. The book presents a compendium of topics related to current advanced research, along with fundamental knowledge that will help readers fully comprehend the field of cancer biomarkers. Topics discussed include such the role of genetic mechanisms, epigenetics, DNA and microRNA in different cancers, signaling pathways and exosomes. In addition, the book discusses biomarker research applied to several cancer types, such as head and neck, urological, lung, bone tumors, hematological and neurological malignancies and breast cancers.This will be a valuable resource for cancer researchers, oncologists, graduate students and members of the biomedical field who are interested in the potential of biomarkers in cancer research and treatment.

Systematic Review and Meta-Analysis

  • 1st Edition
  • October 1, 2024
  • Mahsa Ghajarzadeh + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 4 2 8 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 4 2 7 - 2
Systematic Review and Meta-Analysis: Stepwise Approach for Medical and Biomedical Researchers presents a step-by-step approach to develop systematic reviews and meta-analysis for biomedical and medical research. Systematic reviews are the highest quality evidence in medical research, providing an answer to a specific question, and they can be developed in the form of comprehensive literature search, critical appraisal, and synthesis of the evidence. Systematic reviews and meta-analysis are key elements of evidence-based medicine by summarizing the results of previous studies with the use of specific and reliable methods.Initially, systematic review and meta-analysis were exclusive to clinical trials, however systematic reviews of observational and diagnostic studies have expanded, making it essential for members of the field to master those techniques. This practical reference is a valuable resource for biostaticians, researchers, students, and members of medical and biomedical fields who need to understand more about systematic reviews and meta-analysis in their research work.

Modern Assembly Language Programming with the ARM Processor

  • 2nd Edition
  • October 1, 2024
  • Larry D Pyeatt
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 1 1 4 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 1 1 5 - 7
Modern Assembly Language Programming with the ARM Processor, Second Edition is a tutorial-based book on assembly language programming using the ARM processor. It presents the concepts of assembly language programming in different ways, slowly building from simple examples towards complex programming on bare-metal embedded systems. The ARM processor was chosen as it has fewer instructions and irregular addressing rules to learn than most other architectures, allowing more time to spend on teaching assembly language programming concepts and good programming practice.Careful consideration is given to topics that students struggle to grasp, such as registers vs. memory and the relationship between pointers and addresses, recursion, and non-integral binary mathematics. A whole chapter is dedicated to structured programming principles. Concepts are illustrated and reinforced with many tested and debugged assembly and C source listings. The book also covers advanced topics such as fixed- and floating-point mathematics, optimization, and the ARM VFP and NEONTM extensions.

Internet of Drone Things

  • 1st Edition
  • October 1, 2024
  • Amartya Mukherjee + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 9 0 0 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 9 0 1 - 5
Internet of Drone Things: Architectures, Approaches, and Applications includes fundamental information related to IoDT architecture design and features and reviews the state-of-the-art in hardware and software platforms to deploy, connect, and control drones or swarms of drones. It also covers the latest developments in innovative drone-facilitated applications and services that can significantly improve efficiency, productivity, and sustainability of various operations in modern society and a growing number of its industries. Finally, experimental modeling and simulations are accompanied by prototyping examples, which are set to become the benchmark of next-level automation in the field.This book is, therefore, an invaluable resource for engineering students, researchers, and professionals as well as sector experts who work to develop new drone standards or to identify new drone technology use and commercialization areas on an international level.

Rehabilitation Robotics and Healthcare Devices

  • 1st Edition
  • October 1, 2024
  • Manuel Cardona
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 5 0 5 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 5 1 0 - 0
Rehabilitation Robotics and Healthcare Devices presents cutting-edge topics in rehabilitation robotics and healthcare devices, covering basic concepts and providing readers with enough information to solve various practical problems. The book proves to be an excellent source to study the different emerging paradigms in rehabilitation robotics and healthcare areas, including related technologies such as sensors, wearable devices, internet of medical things, big data, machine learning for eHealth, edible sensors, robots in medicine, and exoskeleton robots for rehabilitation.

Empowering IoT with Big Data Analytics

  • 1st Edition
  • October 1, 2024
  • Mohamed Adel Serhani + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 6 4 0 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 6 4 1 - 1
Empowering IoT with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering IoT with big data technologies and big data analytics solutions, thus allowing for better processing, analysis, protection, distribution, and visualization of data for the benefit of IoT applications and second, a better deployment of IoT applications on the ground. This book covers big data in the IoT era, its application domains, current state-of-the-art in big data and IoT technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for IoT, including storage, processing, protection, distribution, analytics, and visualization.Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data.

Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT)

  • 1st Edition
  • October 1, 2024
  • Yacine Atif + 1 more
  • Fatos Xhafa + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 2 1 7 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 2 1 8 - 4
Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT) is a reference for IT engineers and decision-makers who may engage in IoT platform pilot projects. The resources covered in this book help establish plans for sustainable operations and management and assist with the long-term procurement of relevant IoT technologies. The aim of the book is to be exhaustive and holistic by pointing out numerous issues and related solution options that guide with daily challenges when deploying and running IoT platforms.The book is divided into three parts where each part includes relevant theoretical chapters and applied case studies. Part One focuses on architectural and federation options for the design and implementation of IoT platforms that foster strategic collaboration opportunities. Part Two addresses vertical security challenges across IoT platform layers. Finally, Part Three shows how IoT is driving the digital transformation wheel through existing and forthcoming case studies.

Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Disease

  • 1st Edition
  • October 1, 2024
  • Valentina Rapozzi + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 3 5 4 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 3 5 5 - 6
Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Diseases: Third International Conference on Therapeutic Application of Nitric Oxide in Cancer and Inflammatory Disorders presents updated information on the chemistry, signaling of newly derived therapeutic nitric oxide donors/inhibitors, and their complexes in liposomes or nanospheres in both pre-clinical and clinical activities.In six parts It discusses many examples of research related to the application of novel therapeutic compounds that focus on a chemical, nitric oxide, and their applications that have been shown to exert significant therapeutic activities against various resistant cancers unresponsive to current treatments, and different inflammatory diseases which continue to require novel treatments.It is a valuable resource for cancer researchers, oncologists, graduate students, and researchers from medical and biomedical fields who want to know more about NO and its therapeutic applications in cancer and inflammatory diseases. It is highly useful for both scientists and clinicians as well as pharmaceutical companies involved in the development of new anticancer/anti-inflammatory agents.

Computational Intelligence in Sustainable Computing and Optimization

  • 1st Edition
  • October 1, 2024
  • Balamurugan Balusamy + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 7 2 4 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 7 2 5 - 6
Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resources. Computational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, Cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. Data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modelling, data analysis and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable. The field of optimization is well-known and has a diverse range of applications, including route finding problems, medical treatment, construction, finance, accounting, engineering, and maintenance schedules. Optimizing real-world problems requires understanding their nature, grouping them properly, and employing appropriate techniques that can resolve them efficiently. Nature-inspired computational algorithms have been shown to provide robust solutions for emerging and substantiated problems by utilizing heuristic algorithms. Heuristic techniques aim to find the optimal solution to the query in a timely manner. There are several categories of computational intelligence based on nature, including artificial immune systems, evolutionary algorithms, swarm intelligence, artificial neural networks, and geoscience-based algorithms, and these are applied by the authors of the book to solve various problems in sustainable computing.