Disasters and Emergencies: A Planning and Response Guide for Pharmacy Professionals

1st Edition

Edited by: Meghana Ray (Desai), Hoai-An Truong, Sven A Normann(2021)

The first of its kind, Disasters and Emergencies: A Planning and Response Guide for Pharmacy Professionals covers preparedness and management of varying disasters from pandemics to wildfires to hurricanes and more in evolving and rapidly changing situations for pharmacy professionals.

Big Data Analytics

Edited by: Saumyadipta Pyne, B.L.S. Prakasa Rao, S.B. Rao (2016)

Introduces new computational methods and key applications due to known international researchers and labs

Provides different application areas in Big Data applications such as management, Internet of Things, genomics and healthcare

Discusses some of the latest efforts in data standards and bench-marking of systems for Big Data

Deep Learning and Computational Physics

Edited by: Deep Ray, Orazio Pinti, Assad A. Oberai (2024)

This book exploits strong connections between deep learning algorithms and the techniques of computational physics to achieve two important goals. First, it uses concepts from computational physics to develop an understanding of deep learning algorithms. Second, it describes several novel deep learning algorithms for solving challenging problems in computational physics, thereby offering someone who is interested in modeling physical phenomena with a complementary set of tools.

Big Data Benchmarking:

Edited by: Tilmann Rabl, Raghunath Nambiar, Chaitanya Baru, Milind Bhandarkar, Meikel Poess, Saumyadipta Pyne (2015)

This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Big Data Benchmarking, WBDB 2015, held in Toronto, ON, Canada, in June 2015 and the 7th International Workshop, WBDB 2015, held in New Delhi, India, in December 2015.

Handbook of Statistics:

Disease Modelling and Public Health, Part A

Edited by: Arni S.R. Srinivasa Rao, Saumyadipta Pyne, C.R. Rao Volume 36, Pages 2-493 (2017)

Handbook of Statistics:

Disease Modelling and Public Health, Part B

Edited by: Arni S.R. Srinivasa Rao, Saumyadipta Pyne, C.R. Rao Volume 37, Pages 2-374 (2017)

Multiobjective Optimization Algorithms for Bioinformatics

Edited by: Anirban Mukhopadhyay, Sumanta Ray, Ujjwal Maulik , Sanghamitra Bandyopadhyay (2024)

This book provides an updated and in-depth introduction to the application of multiobjective optimization techniques in bioinformatics. In particular, it presents multiobjective solutions to a range of complex real-world bioinformatics problems. The authors first provide a comprehensive yet concise and self-contained introduction to relevant preliminary methodical constructions such as genetic algorithms, multiobjective optimization, data mining and several challenges in the bioinformatics domain. This is followed by several systematic applications of these techniques to real-world bioinformatics problems in the areas of gene expression and network biology. The book also features detailed theoretical and mathematical notes to facilitate reader comprehension.