This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).

This book is a comprehensive collection of information on essential oils and their industrial application. It provides reader with a systematic and advanced knowledge of the role of essential oils as natural preservatives and therapeutic agents. Food and pharmaceuticals are two important pillars of human civilization. Plant essential oils and their volatile compounds have been used for preservation as well as for the treatment of human illness for long as traditional practices in biodiversity-rich countries. This book deals with the potential uses of essential oils against insect pests and spoilage microbes of agri-food commodities such as pulses, cereal, fruits, and their shelved products. It also highlights the molecular-assisted engineering of plant essential oils, the pharma-kinetic facet, and their potential in pharmaceutical and aromatherapy. In addition, the book covers recent advances in science and technology such as extraction methods, metabolomics, phytochemical genomics, bioinformatics, conformational dynamics, mathematical modeling, and nanotechnology application. This book is of interest to teachers, researchers, food scientists, capacity builders, and policymakers. Also, it serves as an additional reading material for undergraduate and postgraduate students of agriculture, food, and pharmaceutical sciences.

This book explains the fundamentals of the Internet of Things - from different architectures for managing IoT platforms to the insights on trust, security, and privacy in IoT environments, including consumer electronic devices or home applications. This opens the doors to new innovations that will build novel interactions among things and humans, and enables the realization of smart cities, infrastructures, and services. The book presents a complete overview on the research and the technology of this rapidly emerging topic.

Presents technologies and algorithms associated with the application of big data for smart cities. Discussion on big data theory modeling and simulation for smart cities Covers applications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS). Discussion on concepts including smart education, smart culture, and smart transformation management for social and societal changes.

The development of intelligent transportation systems has become significant in marine engineering especially Autonomous Underwater Vehicles with an aim to enhance energy efficiency management and communication systems. This book covers different aspects of optimization autonomous underwater vehicles and their propulsion systems via machine learning techniques. It further analyses hydrodynamic characteristics including study of experimental investigation combined with hydrodynamic characteristics backed my MATLAB® codes and simulation study results. Features: Covers utilization of machine learning techniques with a focus on marine science and ocean engineering. Details effect of the intelligent transportation system (ITS) into the sustainable environment and ecology system. Evaluates performance of particle swarm intelligent based optimization techniques. Reviews propulsion performance of the remoted control vehicles based on machine learning techniques. Includes MATLAB® examples and simulation study results. This book is aimed at graduate students and researchers in marine engineering and technology, computer science, and control system engineering.

The Smart Grid represents an unprecedented opportunity to move the energy industry into a new era of reliability, availability, and efficiency that will contribute to our economic and environmental health. During the transition period, it will be critical to carry out testing, technology improvements, consumer education, development of standards and regulations, and information sharing between projects to ensure that the benefits we envision from the Smart Grid become a reality. Today, an electricity disruption such as a blackout can have a domino effect-a series of failures that can affect banking, communications, traffic, and security. This is a particular threat in the winter, when homeowners can be left without heat. A smarter grid will add resiliency to our electric power system and make it better prepared to address emergencies such as severe storms, earthquakes, large solar flares, and terrorist attacks. Because of its two-way interactive capacity, the Smart Grid will allow for automatic rerouting when equipment fails or outages occur. This will minimize outages and minimize the effects when they do happen. When a power outage occurs, Smart Grid technologies will detect and isolate the outages, containing them before they become large-scale blackouts. The new technologies will also help ensure that electricity recovery resumes quickly and strategically after an emergency-routing electricity to emergency services first, for example. In addition, the Smart Grid will take greater advantage of customer-owned power generators to produce power when it is not available from utilities. By combining these "distributed generation" resources, a community could keep its health center, police department, traffic lights, phone system, and grocery stores operating during emergencies. In addition, the Smart Grid is a way to address an aging energy infrastructure that needs to be upgraded or replaced. This book shows that Smart Grids can address energy efficiency, to bring increased awareness to consumers about the connection between electricity use and the environment, bring increased national security to our energy system-drawing on greater amounts of home-grown electricity that is more resistant to natural disasters and attack.

Cognitive Models for Sustainable Environment reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, along with a review of intelligent and cognitive tools that can be used. The book is centered on evolving novel intelligent/cognitive models and algorithms to develop sustainable solutions for the mitigation of environmental pollution. It unveils intelligent and cognitive models to address issues related to the effective monitoring of environmental pollution and sustainable environmental design. As such, the book focuses on the overall well-being of the global environment for better sustenance and livelihood. The book covers novel cognitive models for effective environmental pollution data management at par with the standards laid down by the World Health Organization. Every chapter is supported by real-life case studies, illustrative examples and video demonstrations that enlighten readers.

This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human-computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.

Green Products in Food Safety explores the potential of green chemicals in the sustainable management of food biodeterioration agents while also addressing existing limitations of green products for their sustainable application. The book summarizes food loss by biodeterioration agent (bacteria, fungi, mycotoxin and insect pest), novel detection methods for hazardous food contaminants, different sources of green chemicals, their origin, extraction and characterization methods, and bioactivity of green products against biodeterioration agent with their molecular sites of action. The contents of the book cover the basic and translational aspects that will prove to be beneficial for food scientists, researchers, students and young professionals. In addition, the pharmacological properties, metabolic engineering of green chemical biosynthesis, role of mathematical modeling to design the novel synergistic formulation (Additive, adjuvant and synergistic effect), nanocarrier applications in the food system, elucidation of novel site of action, and toxicity prediction and ecological perception are also included to overcome the existing limitations.

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).

The reduction in nutritional quality of food due to microbial contamination is a problem faced by much of the developing world. To address contamination-related hunger and malnutrition, it is crucial to enforce quantitative and qualitative protection of agri-food commodities after harvesting, as well as to create low cost, rational strategies to protect post-harvest losses and nutritional properties of food products in a sustainable manner. Research and Technological Advances in Food Science provides readers with a systematic and in-depth understanding of basic and advanced concepts in food science and post-harvest technology, including the most up-to-date information about different natural food source sources (of microbial, plant, and animal origin) and their health benefits. It also highlights current research and technological advances in food science related to health, such as personalized food and nutrition, seafood nutraceuticals, meat processing and product development, microbial enzymes for the tenderization of meat, feruloylated oligosaccharides for human health, and the role of microbial antagonistic in post-harvest management of fruit. In addition, the book explores the role of modern tools and techniques such as instrumentation, nanotechnology, biotechnology, ultrasound in food processing and food-omics in food science. Research and Technological Advances in Food Science is an excellent resource for researchers, food scientists, biochemists, pharmacologists, nutritionists, policymakers, and students working in the food science domain.

Electronic Devices, Circuits, and Systems for Biomedical Applications: Challenges and Intelligent Approaches explains the latest information on the design of new technological solutions for low-power, high-speed efficient biomedical devices, circuits and systems. The book outlines new methods to enhance system performance, provides key parameters to explore the electronic devices and circuit biomedical applications, and discusses innovative materials that improve device performance, even for those with smaller dimensions and lower costs. This book is ideal for graduate students in biomedical engineering and medical informatics, biomedical engineers, medical device designers, and researchers in signal processing.

Functional and Preservative Properties of Phytochemicals examines the potential of plant-based bioactive compounds as functional food ingredients and preservative agents against food-spoiling microbes and oxidative deterioration. The book provides a unified and systematic accounting of plant-based bioactive compounds by illustrating the connections among the different disciplines, such as food science, nutrition, pharmacology, toxicology, combinatorial chemistry, nanotechnology and biotechnological approaches. Chapters present the varied sources of raw materials, biochemical properties, metabolism, health benefits, preservative efficacy, toxicological aspect, safety and Intellectual Property Right issue of plant-based bioactive compounds. Written by authorities within the field, the individual chapters of the book are organized according to the following practical and easy to consult format: introduction, chapter topics and text, conclusions (take-home lessons), and references cited for further reading.