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Automotive Manufacturing Processes
Automotive Manufacturing Processes discusses basic principles and operational procedures of automotive manufacturing processes, issues in the automotive industry like material selection, and troubleshooting. Every chapter includes specific learning objectives, multiple-choice questions to test conceptual understanding of the subject and put theory into practice, review questions, solved problems, and unsolved exercises. It covers important topics including material decision-making processes, surface hardening processes, heat treatment processes, effects of friction and velocity distribution, the metallurgical spectrum of forging, and surface finishing processes. Features: Discusses automotiv...
Web Mining
Web mining is the application of data mining strategies to excerpt learning from web information, i.e. web content, web structure, and web usage data. With the emergence of the web as the predominant and converging platform for communication, business and scholastic information dissemination, especially in the last five years, there are ever increasing research groups working on different aspects of web mining mainly in three directions. These are: mining of web content, web structure and web usage. In this context there are good number of frameworks and benchmarks related to the metrics of the websites which is certainly weighty for B2B, B2C and in general in any e-commerce paradigm. Owing ...
Sentiment Analysis and Deep Learning
This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 – 17 June, 2022. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes.
Simple Chemical Methods for Thin Film Deposition
This book explores chemical methods for thin film deposition with diverse nanostructured morphology and their applications. Unlike top-down techniques, chemical methods offer low cost, simplicity, and growth of nanostructured surface architecture with ease of small to large-scale area deposition. The book primarily focuses on innovative twelve chemical methods for thin-film deposition on one platform. Since each method has its own advantages and disadvantages, it is crucial to select the specific method for specific material to be deposited depending upon what type of application is targeted. Due to inclusive of diverse chemical deposition methods, researcher will have knowledge about best c...
Botanicals as Ecofriendly Pesticides
The book deals essentially with the aspects that are of immediate concern to new researchers in the field of botanicals and natural products. It presents the first comprehensive overview of the plant products since they were introduced in the pest management covering both theoretical and practical applications. This book covers the key aspects of the plant products including: Natural pest management agents from plants, extraction of plants products, characterization and formulation and bioassay of extracts against different pests. The book reports for the first time in the field of botanicals, a study on the stability of the prepared extracts towards their various biological activity against different microbial and stored grain pests through a large number of the prepared extracts and formulations in both water and organic media. The book is an indispensable and interdisciplinary text for researchers and scientists from Chemical Sciences, Life Sciences, Agricultural Sciences and related disciplines, working in this important and fascinating area of botanicals and natural products in Integrated Pest Management (IPM) concept.
Innovative Nanocomposites for the Remediation and Decontamination of Wastewater
Industry wastewater is a major contributor to environmental pollution with chemicals such as dyes, acids, fungicides, and more creating a threat to the environment. Nanocomposites of heterogeneous photocatalysis can be used to cure such problems due to its efficiency and ease of use, as well as the fact that it turns toxic chemicals completely to carbon dioxide and inorganic acids. With toxic chemicals posing a tremendous threat to ecological wellbeing and human health, it is integral that a variety of nanocomposites are studied for their use in the degradation of toxic and hazardous chemicals. Innovative Nanocomposites for the Remediation and Decontamination of Wastewater describes the synt...
IoT Based Control Networks and Intelligent Systems
This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2022), organized by St. Joseph’s College of Engineering and Technology, Kottayam, Kerala, India, during July 1–2, 2022. The book covers state-of-the-art research insights on Internet of things (IoT) paradigm to access, manage, and control the objects/things/people working under various information systems and deployed under wide range of applications like smart cities, health care, industries, and smart homes.
Recent Trends in Image Processing and Pattern Recognition
This three-book set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.
