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Plant Biotechnology: Principles and Applications
The book traces the roots of plant biotechnology from the basic sciences to current applications in the biological and agricultural sciences, industry, and medicine. Providing intriguing opportunities to manipulate plant genetic and metabolic systems, plant biotechnology has now become an exciting area of research. The book vividly describes the processes and methods used to genetically engineer plants for agricultural, environmental and industrial purposes, while also discussing related bioethical and biosafety issues. It also highlights important factors that are often overlooked by methodologies used to develop plants’ tolerance against biotic and abiotic stresses and in the development of special foods, bio-chemicals, and pharmaceuticals. The topics discussed will be of considerable interest to both graduate and postgraduate students. Further, the book offers an ideal reference guide for teachers and researcher alike, bridging the gap between fundamental and advanced approaches.
Soft Computing and Signal Processing
The book presents selected research papers on current developments in the field of soft computing and signal processing from the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It includes papers on current topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning, discussing various aspects of these topics, like technological, product implementation, contemporary research as well as application issues.
Intelligent Computing and Applications
This book presents the peer-reviewed proceedings of the 5th International Conference on Intelligent Computing and Applications (ICICA 2019), held in Ghaziabad, India, on December 6–8, 2019. The contributions reflect the latest research on advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and wireless communication networks.
Applications of Virtual and Augmented Reality for Health and Wellbeing
The convergence of Augmented Reality (AR) and Virtual Reality (VR) has transcended the boundaries of gaming and entertainment, emerging as tools in healthcare and wellbeing. At the heart of recent research-driven exploration lies the recognition of a critical gap in healthcare education. However, amid the promising potential of AR and VR, a need for more comprehensive research has thus far limited the capacity of these technologies to optimize physical, psychological, and social wellbeing. Through the ingenious use of AR, Applications of Virtual and Augmented Reality for Health and Wellbeing spotlights the fusion of virtual learning experiences with tangible real-world scenarios, addressing ...
Cereal Genomics II
“Cereal Genomics” published in 2004 served the purpose of collecting all information on cereal genomics at one place and was well received by the cereal workers through-out the world. The last eight years have witnessed significant advancement in the field of cereal genomics. For instance, high-density genetic maps, physical maps, QTL maps and even draft genome sequence have become available for several cereal species. Furthermore, the next generation sequencing (NGS) technologies have revolutionized genomics research, so that it is possible now to sequence genomes of hundreds or thousands of accessions of an individual cereal crop. Significant amounts of data generated using these NGS t...
Essentials of Bioinformatics, Volume III
Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for st...
Diseases of Oilseed Crops
Contributed articles.
Intelligent Computing and Innovation on Data Science
This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.
Engineering Practices for Management of Soil Salinity
Abiotic stresses are known to adversely impact agricultural productivity on millions of hectares globally, and it is projected that these problems are likely to increase, primarily due to anthropogenic interventions as well as climatic changes. Understanding abiotic stresses—especially salt stress on soil—calls for an interdisciplinary approach because salt-stressed soils need hydro-technical, chemical, and agronomic interventions as well as an understanding of plant response when exposed to these stresses. This volume explores and conveys the latest information on emerging technologies in the management of abiotic salt stress and their field applications. It brings together experts from various fields (academia, technology, and engineering) to provide the latest information and knowledge on this important challenge.
Similarity-Based Clustering
Similarity-based learning methods have a great potential as an intuitive and ?exible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classi?cation, prototypes, or Hebbian learning, with a large variety of di?erent, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medical bioinformatics, more and more data arise from clinical measurements such as EEG or fMRI studies for monitoring brain activity, mass spectrometry data for the detection of proteins, peptides and composites, or microarray pro?les for the analysis of ...
