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Pattern Recognition Technologies and Applications: Recent Advances
The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification.
Natural Product Based Drug Discovery Against Human Parasites
This book comprehensively reviews current and novel treatment strategies against human parasites, including protozoans and helminths, using natural products. The initial chapters summarize the conventional treatment strategies and natural-product based therapeutics against these parasites. It discusses biochemical tools and techniques for the discovery of natural product based drugs against human parasites. The book also covers the ingenious and innovative mechanisms to achieve drug resistance by the protozoan parasites and strategies to overcome the resistance. It entails mechanistic insight into the modulation of host immune responses to delay or inhibit parasite clearance and explores hos...
Sustainability of Green and Eco-friendly Composites
The book explores the pertinent aspects of sustainability of green and eco-friendly composites including their development methods and processing, characterization, properties, and applications. Significance for the design and engineering of high-performance green and eco-friendly composites is discussed in the present book. Insights on a wide spectrum of potential advanced applications ranging from automotive and aerospace to biomedical and packaging, etc. using these are highlighted. Further, it discusses life cycle and carbon footprint assessment of sustainable materials. Features: Explores different processing methods of green and eco-friendly composites Discusses development and optimization of green nanocomposites for sustainable manufacturing Collates modern green and eco-friendly composites research from theory to application Covers hybridization of reinforced fibers on the performance of green and eco-friendly composites Analyzes and discusses calculation of carbon footprint and Life Cycle Assessment of composites This book is aimed at graduate students and researchers in materials science and engineering, sustainable materials, composites, and nanomaterials.
Dynamic Mechanical and Creep-Recovery Behavior of Polymer-Based Composites
Dynamic Mechanical and Creep-Recovery Behaviour of Polymer-Based Composites: Mechanical and Mathematical Modeling covers mathematical modelling, dynamic mechanical analysis, and the ways in which various factors impact the creep-recovery behaviour of polymer composites. The effects of polymer molecular weight, plasticizers, cross-linking agents, and chemical treatment of filler material are addressed and information on thermoplastic and thermosetting polymer-based composites is also covered, including their various applications and the advantages and disadvantages of their use in different settings. The final 2 chapters of the book cover mathematical modeling of creep-recovery behavior for p...
Communication, Networks and Computing
This book constitutes selected and revised papers presented at the Second International Conference on Communication, Networks and Computing, CNC 2020, held in Gwalior, India, in December 2020. The 23 full papers and 7 short papers were thoroughly reviewed and selected from the 102 submissions. They are organized in topical sections on wired and wireless communication systems; high dimensional data representation and processing; networking and information security; computing Techniques for efficient networks design; vehicular technology and application; electronics circuit for communication system.
Roadside Video Data Analysis
This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems. It describes system architectures and methodologies that are specifically built upon learning concepts for roadside video data processing, and offers a detailed analysis of the segmentation, feature extraction and classification processes. Lastly, it demonstrates the applications of roadside video data analysis including scene labelling, roadside vegetation classification and vegetation biomass estimation in fire risk assessment.
Urban Studies
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Communication, Networks and Computing
These two volumes constitute the selected and revised papers presented at the Second International Conference on Communication, Networks and Computing, CNC 2022, held in Gwalior, India, in December 2022. The 53 full papers were thoroughly reviewed and selected from the 152 submissions. They focus on the exciting new areas of wired and wireless communication systems, high-dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, vehicular technology and applications and electronic circuits for communication systems that promise to make the world a better place to live in.
Neural Information Processing
The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 11954, is organized in topical sections on image processing by neural techniques; learning from incomplete data; model compression and optimisation; neural learning models; neural network applications; and social network computing.
