Abhishek Singh – författare

Attacks take place everyday with computers connected to the internet, because of worms, viruses or due to vulnerable software. These attacks result in a loss of millions of dollars to businesses across the world.

Identifying Malicious Code through Reverse Engineering provides information on reverse engineering and concepts that can be used to identify the malicious patterns in vulnerable software. The malicious patterns are used to develop signatures to prevent vulnerability and block worms or viruses. This book also includes the latest exploits through various case studies.

Identifying Malicious Code through Reverse Engineering is designed for professionals composed of practitioners and researchers writing signatures to prevent virus and software vulnerabilities. This book is also suitable for advanced-level students in computer science and engineering studying information security, as a secondary textbook or reference.

This new volume explores the important and cutting-edge roles that nanotechnology can play in facilitating sustainable agriculture. It provides recent updates on nanobiotechnology in soil science, plant breeding, food science, agricultural tool design and utilization, as well as the impacts of such approaches on properties of soils and plants. The book looks at the use of nanotechnology for crop production and protection, in the creation and application of pesticides, to enhance soil fertility and soil health, as a mitigating factor of plant abiotic stress, and more. The volume explores emerging nanotechnological tools and techniques for crop improvement that include space-inspired speed breeding for crop improvement, nanoparticles as sensing materials, plant nanobionics, nanopore DNA sequencing, and more.

This new volume explores the important and cutting-edge roles that nanotechnology can play in facilitating sustainable agriculture. It provides recent updates on nanobiotechnology in soil science, plant breeding, food science, agricultural tool design and utilization, as well as the impacts of such approaches on properties of soils and plants. The book looks at the use of nanotechnology for crop production and protection, in the creation and application of pesticides, to enhance soil fertility and soil health, as a mitigating factor of plant abiotic stress, and more. The volume explores emerging nanotechnological tools and techniques for crop improvement that include space-inspired speed breeding for crop improvement, nanoparticles as sensing materials, plant nanobionics, nanopore DNA sequencing, and more.

Geoinformatics is a cutting-edge tool that develops and uses information science technology that can have far-reaching implications that include boosting agricultural output, increasing food supply, and reducing hunger-related problems in poor and developing countries. This new book, Geoinformatics: An Emerging Approach for Sustainable Crop Production and Food Security, highlights the many applications of geoinformatics in agriculture, mainly its potential to improve agricultural systems and environmental issues through innovative, eco-friendly approaches.

The book is divided into seven sections. Part I contains foundational material on the field of geoinformatics. Part II discusses the role of geoinformatics in agriculture and food security. Part III serves broad knowledge about geoinformatics-based crop screening and protection. Part IV explains how geoinformatics integrates big data and AI for sustainable agriculture and horticulture. Part V deals with geoinformatics and fertilizers and base management of soil fertility. In Part VI, cutting-edge GIS methods are discussed for abiotic stresses management and climate change. The final section discusses the application of geoinformatics for policymaking and the impact of geoinformatics and climate change on agriculture systems.

Providing state-of-the-art knowledge on both theoretical and applied aspects of nanotechnology in soil science, plant breeding, biotechnology, tools design, formulation, application, and management, as well as the effects of these tools on soil properties and plant characteristics, and some abiotic interactions, this new volume will prove invaluable for graduate students, researchers, and professionals in agricultural and related disciplines as well as policymakers.

Geoinformatics is a cutting-edge tool that develops and uses information science technology that can have far-reaching implications that include boosting agricultural output, increasing food supply, and reducing hunger-related problems in poor and developing countries. This new book, Geoinformatics: An Emerging Approach for Sustainable Crop Production and Food Security, highlights the many applications of geoinformatics in agriculture, mainly its potential to improve agricultural systems and environmental issues through innovative, eco-friendly approaches.

The book is divided into seven sections. Part I contains foundational material on the field of geoinformatics. Part II discusses the role of geoinformatics in agriculture and food security. Part III serves broad knowledge about geoinformatics-based crop screening and protection. Part IV explains how geoinformatics integrates big data and AI for sustainable agriculture and horticulture. Part V deals with geoinformatics and fertilizers and base management of soil fertility. In Part VI, cutting-edge GIS methods are discussed for abiotic stresses management and climate change. The final section discusses the application of geoinformatics for policymaking and the impact of geoinformatics and climate change on agriculture systems.

Providing state-of-the-art knowledge on both theoretical and applied aspects of nanotechnology in soil science, plant breeding, biotechnology, tools design, formulation, application, and management, as well as the effects of these tools on soil properties and plant characteristics, and some abiotic interactions, this new volume will prove invaluable for graduate students, researchers, and professionals in agricultural and related disciplines as well as policymakers.

Examine the latest technological advancements in building a scalable machine learning model with Big Data using R. This book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data.

All practical demonstrations will be explored in R, a powerful programming language and software environment for statistical computing and graphics. The various packages and methods available in R will be used to explain the topics. For every machine learning algorithm covered in this book, a 3-D approach of theory, case-study and practice will be given. And where appropriate, the mathematics will be explained through visualization in R. All the images are available in color and hi-res as part of the code download.

This new paradigm of teaching machine learning will bring about a radical change in perception for many of those who think this subject is difficult to learn. Though theory sometimes looks difficult, especially when there is heavy mathematics involved, the seamless flow from the theoretical aspects to example-driven learning provided in this book makes it easy for someone to connect the dots..

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.

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.

In the next sections, you''ll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you''ll discuss how to deploy the custom chatbot framework on the AWS cloud.