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Machine Learning Using R
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R. As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning. What You'll Learn Understand machine learning algorithms using R Master the process of building machine-learning models Cover the theoretical foundations of machine-learning algorithms See industry focused real-world use cases Tackle time series modeling in R Apply deep learning using Keras and TensorFlow in R Who This Book is For Data scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R.
Advanced Materials in Engineering Applications
The formability features of sheets made of the alloy Al 8011 are examined experimentally and the results are compared with the numerical ones in this research. Through an axisymmetric finite element simulation of the Erichsen cupping test, formability characteristics were evaluated. The Erichsen cupping test was used to exam□ine the effects of several factors, including friction at the punch-sheet contact and sheet thickness. The nonlinear finite element method is used to calculate the dome height, stress, and strain values for the aluminum sheet, and the results are then compared to the numerical ones. The findings demonstrated that the Al 8011 alloy’s form□ability greatly rises with increasing sheet thickness. The formability is significantly impacted by the lubricant. The application of the finite element technique to forecast the formability of Al 8011 alloy.
Artificial Intelligent Techniques for Wireless Communication and Networking
ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field. Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments. Audience Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.
Recent Advances in Energy Technologies
This book presents the select proceedings of the first International Conference on Energy and Materials Technologies (ICEMT) 2021, organized by the Department of Mechanical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India. It covers the recent technologies in two broad thematic areas: energy and materials. Various topics covered in this book include hybrid energy, advanced energy systems, energy management, energy policy, geothermal, nuclear energy, bio-energy, waste to energy, power plants, and automotives. The book will be useful for students, researchers, and professionals in the area of mechanical engineering, especially various domains of energy.
Model Organisms to Study Biological Activities and Toxicity of Nanoparticles
This book provides a comprehensive overview of state-of-the-art applications of nanotechnology in biology and medicine, as well as model organisms that can help us understand the biological activity and associated toxicity of nanoparticles, and devise strategies to minimize toxicity and enhance therapies. Thanks to their high surface-to-volume ratio, nanoparticles are characterized by excellent biocompatibility and bioavailability, a high therapeutic index, and relatively low toxicity, which has led to their widespread application in the early diagnosis of diseases, comprehensive monitoring of disease progression, and improved therapeutics. The book also explores nanoparticle-based insecticides and their mechanisms of action, and provides a comparative analysis of the various model organisms that are used to understand the biological properties of nanoparticles. Further, it describes various in-vivo models that yield important insights into nanomaterial-mediated toxicity, promoting the optimal utilization of nanoparticles. In closing, the book discusses future perspectives and regulatory issues concerning the use of nanomaterials in translational research.
Essential Oils
Essential oils were used globally as a folk medicine for the treatment of a number of diseases because of the high content of natural compounds. Therefore, this book looks at research topics dealing with isolation, purification, and identification of active ingredients of essential oils from plants. This knowledge will provide significant information about essential oils to researchers and others interested in the field.
Energy Harvesting Trends for Low Power Compact Electronic Devices
This book focuses on the numerous energy harvesting techniques and their system implementation towards the fulfilment of energy requirements in compact electronic devices. These cover a wide range of applications in portable devices, bio-medical services, agriculture needs, mechanical systems, sensor networks, automobiles, food sector, home appliances, industry needs, etc. The authors detail energy harvesting methods using the latest technologies in acoustics, bio-chemical, thermal, artificial light, fluid flow, vibrations, EM energy, RF energy, piezoelectric, electrostatic, photovoltaic, thermoelectric, hybrid harvesting, ultrasonic, infrared, light, wind, and solar. The book is intended for researchers, academics, professionals, and students in energy harvesting.
Microbial Symbionts and Plant Health: Trends and Applications for Changing Climate
This book provides a comprehensive understanding of the complex relationship between microbial symbionts and plants in the era of climate change. It focuses on the plant microbiome associated with different plant organs like roots, leaves, stems, fruit, and seeds, and showcases their significant role in the enhancement of crop yield and protection in a sustainable manner. Concomitantly, acumens to the most emerging trends in plant microbial research that includes rhizosphere engineering and metagenomics are also covered in this title. The association of microbial symbionts with the host offers a wide advantage in terms of acclimatization to varied environmental conditions. A large number of ...
Sustainable Agriculture
The agricultural food system needs to provide access to enough healthy and affordable food for the growing population and mitigate its impact on the planet for future generations. Emerging technologies can help farmers increase yields.The book presents theoretical and applied aspects of nanotechnology, biotechnology, plant breeding and smart farming to increase plant productivity, crop yield, soil fertility and crop soil monitoring.
Nanotechnology and In Silico Tools
Nanotechnology and In Silico Tools: Natural Remedies and Drug Discovery provides the latest information and updates in the area of drug discovery. It covers aspects like nanomedicines, bioinformatics, molecular docking, molecular modeling, QSAR, virtual screening and computational chemistry as well as metabolomics research using various tools. The drug discovery process accelerates the design of new leads for various life-threatening diseases and natural medicines. Silico tools have been an integral part of the drug discovery process, playing a major role as a template for drug discovery and offering a holistic approach to better management of various diseases. Nanotechnology and In Silico Tools: Natural Remedies and Drug Discovery combines the principles of natural medicines with refined modern technology to help chemists in the development of a more ecofriendly, and effective discovery process. - Combines principles of natural medicines with refined modern technology - Provides the latest updates on drug discovery - Covers technologies for synthetic products that can be applied for the investigation of plant-derived natural remedies
