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This book presents select proceedings of North-East Research Conclave (NERC 2022) that will help pave way toward disaster risk reduction through a holistic and multidisciplinary approach. The book discusses topics, such as rapid pace of climate change, its deleterious effects on nature and natural systems, human interventions in altering the natural geographical and geological systems, widespread urbanization, recurrent unwarranted rainfall and cloud bursts, unprecedented flooding, catastrophic landslides, dam breakages, glacial outbursts, snow avalanches, seismicity and its impacts, liquefaction, and wreaking environmental pollution leading to unimaginable toll on lives, property and econom...
An exceptional Bangla mini story.
Unencumbered, even though a suspense story, is different. I wrote this story as a High School kid back in 2014. Set in Bengal's Malda District, the story revolves around the struggles of a young boy (who is now a man) and a disaster caused by him in his adolescence and finally encumbered at a crowded train ride.
Investigating more than 70 key concepts relating to the performing arts in more than six non-European languages, this volume provides a groundbreaking research tool and one-of-a-kind reference source for theatre, performance and dance studies worldwide. The Companion features in-depth explorations of and expert introductions to a select number of performance-related key concepts in Arabic, Chinese, Japanese, Korean, Yorùbá as well as the Indian languages Sanskrit, Hindi and Tamil. Key concepts—such as Furǧa فرجة in Arabic, for example, or Jiadingxing 假定性 in Chinese, Gei 芸 in Japanese, Ìparadà in Yorùbá and Imyeon 이면 in Korean—that defy easy translation from one lan...
Hierarchical Modeling and Analysis for Spatial Data, Third Edition is the latest edition of this popular and authoritative text on Bayesian modeling and inference for spatial and spatial-temporal data. The text presents a comprehensive and up-to-date treatment of hierarchical and multilevel modeling for spatial and spatio-temporal data within a Bayesian framework. Over the past decade since the second edition, spatial statistics has evolved significantly driven by an explosion in data availability and advances in Bayesian computation. This edition reflects those changes, introducing new methods, expanded applications, and enhanced computational resources to support researchers and practition...
Everything you were taught about evolution is wrong.
This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering in diverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.
This book gathers selected research papers presented at the 7th International Conference on Computers and Devices for Communication (CODEC 2019), held at the Department of Radio Physics and Electronic, University of Calcutta, India, on 19 – 20 December 2019. It includes recent research in the field of nanomaterials, devices and circuits; microwave and light wave technology; communication and space science; and computer applications and control.