𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Machine Learning and IoT: A Biological Perspective

✍ Scribed by Shampa Sen (Editor); Leonid Datta (Editor); Sayak Mitra (Editor)


Publisher
CRC Press
Year
2018
Leaves
375
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.

✦ Table of Contents


Machine Learning: A Powerful Tool for Biologists

Mohd Zafar, Ramkumar Lakshmi Narayanan, Saroj K. Meher, and Shishir K. Behera

Mining and Analysis of Bioprocess Data

Prerna Grover, Aditya Shah, and Shampa Sen

Data Mining in Nutrigenomics

Avipsha Sarkar, Shreyasi Kundu, Shakti Singh, and Shampa Sen

Machine Learning in Metabolic Engineering

Sayak Mitra

Big Data and Transcriptomics

Sudharsana Sundarrajan, Sajitha Lulu, and Mohanapriya Arumugam

Comparative Study of Predictive Models in Microbial-Induced

Corrosion

Nitu Joseph and Debayan Mandal

Application of Data Mining Techniques in Autoimmune Diseases Research and Treatment

Sweta Bhattacharya and Sombuddha Sengupta

Data Mining Techniques in Imaging of Embryogenesis

Diptesh Mahajan and Gaurav K. Verma

Machine Learning Approach to Overcome the Challenges in Theranostics: A Review

Bishwambhar Mishra, Sayak Mitra, Karthikeya Srinivasa Varma Gottimukkala, and Shampa Sen

Emotion Detection System

Adrish Bhattacharya, Vibhash Chandra, and Leonid Datta

Segmentation and Clinical Outcome Prediction in Brain Lesions

Sharmila Nageswaran, S. Vidhya, and Deepa Madathil

Machine Learning Based Hospital-Acquired Infection Control System

Prajit Kumar Datta, Sehaj Sharma, and Gaurav Bansal

No Human Doctor: Learning of the Machine

Leonid Datta, Emilee Datta, and Shampa Sen

The IoT Revolution

Adrish Bhattacharya and Denim Datta

Healthcare IoT (H-IoT): Applications and Ethical Concerns

Srijita Banerjee, Adrish Bhattacharya, and Shampa Sen

Brain–Computer Interface

Abhishek Mukherjee, Madhurima Gupta, and Shampa Sen

IoT-Based Wearable Medical Devices

Avitaj Mitra, Abanish Roy, Harshit Nanda, Riddhi Srivastava, and M. Gayathri

People with Disabilities: The Helping Hand of IoT

Ashmita Das, Sayak Mitra, and Shampa Sen

Smart Analytical Lab

Subhrodeep Saha, Sourish Sen, Bharti Singh, and Shampa Sen

Crop and Animal Farming IoT (CAF-IoT)

Neha Agnihotri, Soumyadipto Santra, and Shampa Sen

Index

✦ Subjects


Bioscience;Bioinformatics;Biotechnology;Forensic Science;Medical Aspects;Computer Science;Computation;Economics, Finance, Business & Industry;Business, Management and Marketing;Public & Nonprofit Management;Healthcare Management;Engineering & Technology;Systems & Control Engineering;Machine Learning


πŸ“œ SIMILAR VOLUMES


Machine Learning and Iot: A Biological P
✍ Shampa Sen; Leonid Datta; Sayak Mitra (eds.) πŸ“‚ Library πŸ“… 2019 πŸ› CRC Press 🌐 English

This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.

IoT and WSN based Smart Cities: A Machin
✍ Shalli Rani, Vyasa Sai, R. Maheswar πŸ“‚ Library πŸ“… 2022 πŸ› Springer 🌐 English

<span>This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection.Β The authors cover important areas and issues around implementation roadblocks, id

Cancer Prediction for Industrial IoT 4.0
✍ Meenu Gupta (editor), Rachna Jain (editor), Arun Solanki (editor), Fadi Al-Turjm πŸ“‚ Library πŸ“… 2021 πŸ› Chapman and Hall/CRC 🌐 English

<p>Cancer Prediction for Industrial IoT 4.0: A Mining and Machine Learning Perspective explores the various cancers using Artificial Intelligence Techniques. It presents the rapid advancement in the existing predicting models by applying Machine Learning techniques. Several applications of Machine L

Machine Learning in Biological Sciences:
✍ Shyamasree Ghosh, Rathi Dasgupta πŸ“‚ Library πŸ“… 2022 πŸ› Springer 🌐 English

<p><span>This book gives an overview of applications of MachineΒ Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences.Β Machine learning has major applications in process modelling, computer vision, signal processing, speech rec

Machine Learning in Biological Sciences:
✍ Shyamasree Ghosh, Rathi Dasgupta πŸ“‚ Library πŸ“… 2022 πŸ› Springer 🌐 English

<p><span>This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences. Machine learning has major applications in process modelling, computer vision, signal processing, speech rec

AI, Machine Learning and Deep Learning:
✍ Fei Hu, Xiali Hei πŸ“‚ Library πŸ“… 2023 πŸ› CRC Press 🌐 English

Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many inte