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Zusammenfassung: This book includes the results from the 5th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR), held in National Institute of Technology, Kurukshetra, on December 07-09, 2023, which brought together visionaries, researchers, and industry leaders at the forefront of technological innovation. In the rapidly evolving landscape of technology, deep learning, artificial intelligence, and robotics stand as a beacon of innovation and intellectual exchange. Among the myriad of groundbreaking contributions, a notable gem emerges--a forthcoming book that promises to encapsulate the essence of the 5th International Conference on Deep Learning, Arti...
Extensive industrialization has led to an increased release of toxic metals into the soil and air. Industrial waste can include mine overburden, bauxite residue, and E waste, and these can serve as a source of valuable recoverable metals. There are relatively simple methods to recycle these wastes, but they require additional chemicals, are expensive, and generate secondary waste that causes environmental pollution. Biohydrometallurgical processing is a cost-effective and ecofriendly alternative where biological processes help conserve dwindling ore resources and extract metals in a nonpolluting way. Microbes can be used in metal extraction from primary ores, waste minerals, and industrial a...
Compiled by a well-known expert in the field, Liquid Biofuels provides a profound knowledge to researchers about biofuel technologies, selection of raw materials, conversion of various biomass to biofuel pathways, selection of suitable methods of conversion, design of equipment, selection of operating parameters, determination of chemical kinetics, reaction mechanism, preparation of bio-catalyst: its application in bio-fuel industry and characterization techniques, use of nanotechnology in the production of biofuels from the root level to its application and many other exclusive topics for conducting research in this area. Written with the objective of offering both theoretical concepts and ...
The edited book covers all potential products from microalgal-based biorefinery having the focus on contemporary technologies and future outlook. Along with the focus on microalgal biorefinery products, the book also focuses on biotechnological advances via the utilization of modern molecular biology, system biology, synthetic biology, or metabolic engineering approach in microalgal biorefinery. The development of any technologies has a direct effect on the human being and the environment, therefore, the socio-economic, techno-economic, and environmental impact of the microalgae-based biorefineries will also be included in the book. In microalgal biomass-based biorefinery different biofuel- biodiesel, bioethanol, bio-hydrogen, and value-added compounds such as carotenoids, fatty acids, and protein can be produced simultaneously. Understanding the technical advances to develop an integrated biorefinery approach with the motive of designing a consolidated self-sustainable microalga-based biorefinery. This book is equally beneficial for researchers and engineers in biomass-based biorefineries or the bachelors, master, or young budding graduate students as a textbook.
This book includes best-selected, high-quality research papers presented at Second International Conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2021) organized by Department of Information & Communication Technology, Fakir Mohan University, Balasore, Odisha, India, during December 20-21, 2021. This proceeding presents the recent advances in techniques which are biologically inspired and their usage in the field of many criteria decision making. The topics covered are biologically inspired algorithms, nature-inspired algorithms, multi-criteria optimization, multi-criteria decision making, data mining, big-data analysis, cloud computing, IOT, machine learning and soft computing, smart technologies, crypt-analysis, cognitive informatics, computational intelligence, artificial intelligence and machine learning, data management exploration and mining, computational intelligence, and signal and image processing.