Deep Learning and Parallel Computing Environment for Bioengineering Systems

• Author : Arun Kumar Sangaiah
• Publisher : Academic Press
• Release : 26 July 2019

Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major

• Author : Mousumi Gupta,Sujata Ghatak,Amlan Gupta,Abir Lal Mukherjee
• Publisher : Springer Nature
• Release : 24 August 2022

This book includes high-quality papers presented at the Second International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration with Department of Pathology, SMIMS, Sikkim, India, and funded by Indian Council of Medical Research, during 11 – 12 November 2021. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including

• Author : Nikhil Marriwala,C. C Tripathi,Shruti Jain,Shivakumar Mathapathi
• Publisher : Springer Nature
• Release : 22 June 2021

This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18–20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification

• Author : Sergii Babichev,Volodymyr Lytvynenko
• Publisher : Springer Nature
• Release : 13 September 2022

This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning create the conditions for

• Author : Saxena, Sanjay,Paul, Sudip
• Publisher : IGI Global
• Release : 16 October 2020

Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of

• Author : Khaled R. Ahmed,Aboul Ella Hassanien
• Publisher : Springer Nature
• Release : 10 April 2021

This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable

• Author : Thanuja K,Thirumagal E,Amuthabala K,Shantala Devi Patil
• Publisher : MileStone Research Publications
• Release : 21 October 2022

Database management courses introduce students to languages, applications and programming used for the design and maintenance of business databases. One of the basic skills covered in database management courses is the use of Structured Query Language (SQL), the most common database manipulation language. Students learn to write programs with packages, debugging procedures, triggers and database structures using SQL. Database management courses may also cover Visual Basic programming language skills for program design. Other database management skills include the use of

• Author : Goundar, Sam,Rayani, Praveen Kumar
• Publisher : IGI Global
• Release : 15 January 2021

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift.

• Author : Jyotismita Chaki,Aysegul Ucar
• Publisher : CRC Press
• Release : 22 February 2023

This book examines deep learning-based approaches in the field of cancer diagnostics, as well as pre-processing techniques, which are essential to cancer diagnostics. Topics include introduction to current applications of deep learning in cancer diagnostics, pre-processing of cancer data using deep learning, review of deep learning techniques in oncology, overview of advanced deep learning techniques in cancer diagnostics, prediction of cancer susceptibility using deep learning techniques, prediction of cancer reoccurrence using deep learning techniques, deep learning techniques to predict the

• Author : Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul
• Publisher : Springer Nature
• Release : 11 May 2021

Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and services. With the help of the advanced techniques, now a days it is possible to understand human body and to handle & process the health data anytime and anywhere. It is a smart healthcare system which includes patient, hospital management, doctors, monitoring, diagnosis, decision making modules, disease prevention to meet the

• Author : Jianchao Zeng,Pinle Qin,Weipeng Jing,Xianhua Song,Zeguang Lu
• Publisher : Springer Nature
• Release : 10 September 2021

This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021. The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management

• Author : Janmenjoy Nayak,Bighnaraj Naik,Ajith Abraham
• Publisher : Springer Nature
• Release : 27 July 2021

This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in

• Author : Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Mallikarjun M Kodabagi
• Publisher : MileStone Research Publications
• Release : 01 August 2021

This book covers the primary and supportive topics on pattern recognition with respect to beginners understand-ability. The aspects of pattern recognition is value added with an introductory of machine learning terminologies. This book covers the aspects of pattern validation, recognition, computation and processing. The initial aspects such as data representation and feature extraction is reported with supportive topics such as computational algorithms and decision trees. This text book covers the aspects as reported. Par t - I In this part,

• Author : Mohamed Ben Ahmed,İsmail Rakıp Karaș,Domingos Santos,Olga Sergeyeva,Anouar Abdelhakim Boudhir
• Publisher : Springer Nature
• Release : 12 February 2021

This proceedings book is the fourth edition of a series of works which features emergent research trends and recent innovations related to smart city presented at the 5th International Conference on Smart City Applications SCA20 held in Safranbolu, Turkey. This book is composed of peer-reviewed chapters written by leading international scholars in the field of smart cities from around the world. This book covers all the smart city topics including Smart Citizenship, Smart Education, Smart Mobility, Smart Healthcare, Smart Mobility,

• Author : Syed Muzamil Basha,Syed Thouheed Ahmed,Santhosh Kumar M Naidu
• Publisher : MileStone Research Publications
• Release : 14 March 2022

The book introduces programming concepts through Python language. The simple syntax of Python makes it an ideal choice for learning programming. Because of the availability of extensive standard libraries and third-party support, it is rapidly evolving as the preferred programming language among the application developers. It will bolster your foundational skills in Artificial Intelligence. Make the most of our Expert Mentor-ship facility and gain a practical understanding of Artificial Intelligence and Machine Learning. Make the most of our real-world projects