T. N. Singh – författare

With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern computational intelligence with traditional computing methods has attracted researchers and academicians to focus on developing innovative AI techniques using data science. International Conference on Data Science and Artificial Intelligence (ICDSAI) 2022, organized on April 23-24, 2022 by the Indian Institute of Technology, Patna at NITIE Mumbai (India) in collaboration with the International Association of Academicians (IAASSE) USA collected scientific and technical contributions with respect to models, tools, technologies, and applications in the field of modern Artificial Intelligence and Data Science, coveringthe entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern computational intelligence with traditional computing methods has attracted researchers and academicians to focus on developing innovative AI techniques using data science. International Conference on Data Science and Artificial Intelligence (ICDSAI) 2022, organized on April 23-24, 2022 by the Indian Institute of Technology, Patna at NITIE Mumbai (India) in collaboration with the International Association of Academicians (IAASSE) USA collected scientific and technical contributions with respect to models, tools, technologies, and applications in the field of modern Artificial Intelligence and Data Science, coveringthe entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

This book intends to decipher the knowledge in the advancement of understanding, detecting, predicting, and monitoring landslides. The number of massive landslides and the damages they cause has increased across the globe in recent times. It is one of the most devastating natural hazards that cause widespread damage to habitat on a local, regional, and global scale. International experts provide their experience in landslide research and practice to help stakeholders mitigate and predict potential landslides. The book comprises chapters on:Dynamics, mechanisms, and processes of landslides;Geological, geotechnical, hydrological, and geophysical modelling for landslides;Mapping and assessment of hazard, vulnerability, and risk associated with landslides;Monitoring and early warning of landslides;Application of remote sensing and GIS techniques in monitoring and assessment of landslides.The book will be of interest to researchers, practitioners, and decision-makers in adapting suitable modern techniques for landslide study.

This book intends to decipher the knowledge in the advancement of understanding, detecting, predicting, and monitoring landslides. The number of massive landslides and the damages they cause has increased across the globe in recent times. It is one of the most devastating natural hazards that cause widespread damage to habitat on a local, regional, and global scale. International experts provide their experience in landslide research and practice to help stakeholders mitigate and predict potential landslides. The book comprises chapters on:Dynamics, mechanisms, and processes of landslides;Geological, geotechnical, hydrological, and geophysical modelling for landslides;Mapping and assessment of hazard, vulnerability, and risk associated with landslides;Monitoring and early warning of landslides;Application of remote sensing and GIS techniques in monitoring and assessment of landslides.The book will be of interest to researchers, practitioners, and decision-makers in adapting suitable modern techniques for landslide study.

The papers represent the research work in the related fields of underground mining, ground control, mining geotechnics, geo-instrumentation, mine tunneling, and underground structures.