Jaewoo 2 In 1 Machine


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Smart Nanomaterials


Smart Nanomaterials

Author: Imalka Munaweera

language: en

Publisher: CRC Press

Release Date: 2023-07-24


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Smart nanomaterials are the basis of diverse emerging applications, and this book covers their technological advances, innovations, and practical applications. It covers advances in the most critical aspects in chemistry and material fabrication of nanomaterials including engineering/prospective applications. The application of smart nanomaterials in the biomedical field, agriculture, food industry, and apparel industry is covered with practical examples. It discusses the future of smart nanomaterials and the pros and cons associated with smart nanomaterials in a detailed manner. Features: Reviews synthesis methods, characterization techniques, and applications of smart nanomaterials. Explores the significance of using smart nanomaterials in futuristic life including examples. Covers bionsensor sensitivity, selectivity, and stability for long-term operation and nanotechnology technique for possibly detecting hazardous viruses. Provides the manufacturing advantages, energy and electronic advantages, medical benefits, environmental effects, and economic issues. Explains risk assessment on humans in detail. This book is aimed at researchers and graduate students in nanomaterials and materials science.

Machine Learning and Knowledge Discovery in Databases


Machine Learning and Knowledge Discovery in Databases

Author: Peggy Cellier

language: en

Publisher: Springer Nature

Release Date: 2020-03-27


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This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019.

Advances in AI for Biomedical Instrumentation, Electronics and Computing


Advances in AI for Biomedical Instrumentation, Electronics and Computing

Author: Vibhav Sachan

language: en

Publisher: CRC Press

Release Date: 2024-06-13


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This book contains the proceedings of 5th International Conference on Advances in AI for Biomedical Instrumentation, Electronics and Computing (ICABEC - 2023), which provided an international forum for the exchange of ideas among researchers, students, academicians, and practitioners. It presents original research papers on subjects of AI, Biomedical, Communications & Computing Systems. Some interesting topics it covers are enhancing air quality prediction using machine learning, optimization of leakage power consumption using hybrid techniques, multi-robot path planning in complex industrial dynamic environment, enhancing prediction accuracy of earthquake using machine learning algorithms and advanced machine learning models for accurate cancer diagnostics. Containing work presented by a diverse range of researchers, this book will be of interest to students and researchers in the fields of Electronics and Communication Engineering, Computer Science Engineering, Information Technology, Electrical Engineering, Electronics and Instrumentation Engineering, Computer applications and all interdisciplinary streams of Engineering Sciences.