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AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics 2021 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 513 pages, height x width: 235x155 mm, weight: 819 g, 183 Illustrations, color; 76 Illustrations, black and white; XXIV, 513 p. 259 illus., 183 illus. in color., 1 Paperback / softback
  • Sērija : Studies in Big Data 86
  • Izdošanas datums: 16-Feb-2022
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9813344148
  • ISBN-13: 9789813344143
  • Mīkstie vāki
  • Cena: 162,93 €*
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  • Formāts: Paperback / softback, 513 pages, height x width: 235x155 mm, weight: 819 g, 183 Illustrations, color; 76 Illustrations, black and white; XXIV, 513 p. 259 illus., 183 illus. in color., 1 Paperback / softback
  • Sērija : Studies in Big Data 86
  • Izdošanas datums: 16-Feb-2022
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9813344148
  • ISBN-13: 9789813344143
This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.
Brief Introduction of AI and Machine Learning (AIML) and Its Applications
Optimization Solutions for Demand Side Management and Monitoring
3(42)
Zeeshan Ali Shah
Azhar Ul-Haq
Rashid Alammari
Atif Iqbal
Marium Jalal
An Insight into Tool and Software Used in AI, Machine Learning and Data Analytics
45(20)
Ruchi Mittal
Shefali Arora
Pragya Kuchhal
M. P. S. Bhatia
Security Enhancement and Monitoring for Data Sensing Networks Using a Novel Asymmetric Mirror-Key Data Encryption Method
65(14)
Linoy A. Tharakan
Sherly Daniel
R. Dhanasekaran
Introduction to Cuckoo Search and Its Paradigms: A Bibliographic Survey and Recommendations
79(16)
Wahid Ali
Mohd Shariq Khan
Mashhood Hasan
Mohammad Ehtisham Khan
Muhammad Abdul Qyyum
Mohammad Obaid Qamar
Moonyong Lee
Routing Protocols for Internet of Vehicles: A Review
95(10)
Farhana Ajaz
Mohd. Naseem
Gulfam Ahamad
Qamar Rayees Khan
Sparsh Sharma
Ehtesham Abbasi
Introduction to Particle Swarm Optimization and Its Paradigms: A Bibliographic Survey
105(22)
Mohd Shariq Khan
Wahid Ali
Muhammad Abdul Qyyum
Khursheed B. Ansari
Moonyong Lee
AIML Applications for Monitoring System in Health and Management
Classification and Monitoring of Injuries Around Knee Using Radiograph-Based Deep Learning Algorithm
127(20)
C. V. Praharsha
Pullabhatla Srikanth
Artificial Intelligence: Its Role in Diagnosis and Monitoring Against COVID-19
147(8)
Vinay Kumar Reddy Chimmula
Lei Zhang
Abhinay Kumar
Predicting Future, Past, and Misinterpreted COVID-19 Cases Using Bidirectional LSTM Model for Proper Health Monitoring: Advances in Data Analytics
155(14)
Abhinay Kumar
Data-Driven Analysis to Identify the Role of Relational Benefit in Developing Customer Loyalty and Management: A Case Study
169(10)
Asif Sanaullah
Interpretation of EEG Signals During Wrist Movement Using Multi-resolution Wavelet Features for BCI Application
179(14)
Mohd Wahab
Abdulla Shahid
Nidal Rafiuddin
Omar Farooq
Yusuf Uzzaman Khan
Validation of Road Traffic Noise Prediction Model CoRTN for Indian Road and Traffic Conditions
193(10)
Pervez Alam
Kafeel Ahmad
S. S. Afsar
Nasim Akhtar
AIML Applications for Monitoring System in Engineering and Automation
Deep Learning and Statistical-Based Daily Stock Price Forecasting and Monitoring
203(14)
Vinay Kumar Reddy Chimmula
Lei Zhang
Hasmat Malik
Amit Kumar Yadav
Intelligent Modelling of Renewable Energy Resources-Based Hybrid Energy System for Sustainable Power Generation and Monitoring
217(32)
Priyanka Anand
Mohammad Rizwan
Sarabjeet Kaur Bath
Gulnar Perveen
Economic Load Dispatch Monitoring and Optimization for Emission Control Using Flower Pollination Algorithm: A Case Study
249(20)
Deepesh Mali
D. Saxena
Rajeev Kumar Chauhan
Planning and Monitoring of EV Fast-Charging Stations Including DG in Distribution System Using Particle Swarm Optimization
269(34)
Dhiraj Kumar Singh
Aashish Kumar Bohre
IoT-Based LPG Leakage Detection System with Prevention Compensation
303(14)
Mohammad Abas Malik
Magray Abrar Hassan
Adnan Shaft
Short-Term Scheduling of Hydrothermal Based on Teaching-Learning Optimization
317(12)
Rajanish Kumar Kaushal
Tilak Thakur
Simulation and Analysis of Rectifier-Based Four-Level Grid-Connected Inverter Using Genetic Algorithm
329(10)
Anzar Ahmad
Mu Anas
Mohammad Zaid
Adil Sarwar
Mohd Tariq
Vector Control of Dual 3-φ Induction Machine-Based Flywheel Energy Storage System Using Fuzzy Logic Controllers
339(12)
Mohamed Daoud
Atif Iqbal
Hotspot Detection in Distribution Transformers Using Thermal Imaging and MATLAB
351(10)
Monika Sahu
Saurabh Ranjan Sharma
Rajesh Kumar
Yog Raj Sood
An Innovative Fuzzy Modelling Technique for Photovoltaic Power Generation Farm's Failure Modes and Effects Analysis
361(18)
Vivek Kumar Tripathi
Arush Singh
Atul Jaysing Patil
Yog Raj Sood
Analysis and Application of Nine-Level Boost Inverter for Distributed Solar PV System
379(10)
Deepak Upadhyay
Shahbaz Ahmad Khan
Mohammad Ali
Mohd Tariq
Adil Sarwar
Performance Evaluation of a 500 kWp Rooftop Grid-Interactive SPV System at Integral University, Lucknow: A Feasible Study Under Adverse Weather Condition
389(8)
Ahmad Faiz Minai
T. Usmani
Atif Iqbal
Fuzzy Logic-Based Cycloconverter for Cement Mill Drives
397(10)
Iram Akhtar
Sheeraz Kirmani
Comparative Control Study of CSTR Using Different Methodologies: MRAC, IMC-PID, PSO-PID, and Hybrid BBO-FF-PID
407(12)
Neha Khanduja
Bharat Bhushan
Performance Analysis of Nine-Level Packed E Cell Inverter for Different Carrier Wave PWM Techniques
419(10)
Shahbaz Ahmad Khan
Deepak Upadhyay
Mohammad Ali
Mohd Tariq
Adil Sarwar
PSO-Based Selective Harmonics Elimination Method for Improving THD in Three-Phase Multi-level Inverter
429(10)
Nazia Rehman
Umme Aiman
Md Shahbaz Alam
Mohd Rizwan Khalid
Adil Sarwar
Optimized Controller Design for Fast Steering Mirror-Based Laser Beam Steering Applications
439(10)
Himanshu Chaudhary
Shahida Khatoon
Ravindra Singh
Ashish Pandey
Comparison of Metaheuristic and Conventional Algorithms for Maximum Power Point Tracking of Solar PV Array
449(10)
Mohammad Asfar Khan
Monaem Ibn Nasir
Syed Mohd Subhan
Imran Pervez
Artificial Neural Network-Based Maximum Power Point Tracking Method with the Improved Effectiveness of Standalone Photovoltaic System
459(12)
Asim Iqbal Khan
Rashid Ahmed Khan
Shoeb Azam Farooqui
Mohammad Sarfraz
Analysis on Various Optimization Technique Used for Load Frequency Control
471(8)
Mohammed Asim
Archana Verma
Ahmed Riyaz
Optimal Design of Permanent Magnet Brushless DC (PMBLDC) Motor Using PSO Algorithm
479(12)
Raj Kumar
Md Nishat Anwar
A Novel Lossless Image Cryptosystem for Binary Images Using Feed-Forward Back-Propagation Neural Networks
491
Harsha Vardhan Sahoo
Sumitra Kisan
Gargi Bhattacharjee
Dr. Hasmat Malik (M'16) received Diploma in Electrical Engineering from Aryabhatt Govt. Polytechnic Delhi, B.Tech. degree in electrical & electronics engineering from the GGSIP University, Delhi, M.Tech degree in electrical engineering from National Institute of Technology (NIT) Hamirpur, Himachal Pradesh, and Ph.D in power system from Electrical Engineering Department, Indian Institute of Technology (IIT) Delhi, India. He is currently a Postdoctoral Scholar at BEARS, University Town, NUS Campus, Singapore. He is a chartered Engineer [ IEI]. He is a Life Member of Institute of Engineers (India) (IEI), Indian Society for Technical Education (ISTE), Institution of Electronics and Telecommunication Engineering (IETE), International Association of Engineers (IAENG), Hong Kong, International Society for Research and Development, London (ISRD) and Member of the Institute of Electrical and Electronics Engineers (IEEE), USA and Mir Labs, Asia. He has published more than 100 researcharticles, including papers in international journals, conferences and book chapters. He is a Guest Editor of Special Issue of Journal of Intelligent & Fuzzy Systems, 2018, 2020 (SCI, Impact Factor 2020:1.851), (IOS Press). He received the POSOCO Power System Award (PPSA-2017) for his Ph.D work for research and innovation in the area of power system. He has received best research papers awards at IEEE INDICON-2015, and full registration fee award at IEEE SSD-2012 (Germany). He has supervised 23 PG students. He is involved in several large R&D projects. His principal area of research interests is artificial intelligence, machine learning and big-data analytics for renewable energy, smart building & automation, condition monitoring and online fault detection & diagnosis (FDD).  Dr Nuzhat Fatema has 10 years of experience in intelligent data analytics using AI & Machine learning for hospital and health care management. Dr. Fatema is the Co-founder of the Intelligent Prognostic Private Limited. Dr Fatema speaks nationally and internationally about the importance and power of data in hospital and healthcare systems.Dr. Fatema a BAMS graduated from Maharashtra University of Health Sciences, India. She has cured many patients with her skills of medicinal knowledge. Later to go beyond the clinical skills, she has achieved post-graduation in hospital management from International Institute of Health Management Research (IIHMR), Delhi. This was the platform where she has utilized her clinical skills with her managerial skills using artificial intelligence (AI), Machine Learning (ML) and Data Analytics. She has worked as a research associate at National Board of Examinations (NBE) India and dealt with the accreditation process for post graduate courses in different multi-specialty hospitals in the country. She has authored one book describing a trouble free tool prepared by using different standardized manuals of medicines in different countries for usage of the most complicated drug like Warfarin. She has published several research papers in renowned international journals and conferences. Presently she is associated with Singapore Polyclinic, Singapore.Her area of interest is AI, ML and intelligent data analytics application in healthcare, monitoring, prediction, forecasting, detection & diagnosis where she believes that its a data driven world with stockpile of database in the industry which is to be used to extract value to make better informed, more accurate decisions in diagnosis, management and better outcomes in industry care. Simply throwing the numbers by analyzing any data has zero value; therefore she has produced narratives using data for decision making. She has been doing research study by spotting patterns in data and setting up infrastructure in the real-time industrial monitoring domain. 

Jafar A. Alzubi is Associate Professor atAl-Balqa Applied University, School of Engineering, Jordan. He received Ph.D. degree in Advanced Telecommunications from Swansea University, Swansea, UK (2012), Master of Science degree (Hons.) in Electrical and Computer Engineering from New York Institute of Technology, New York, USA (2005), And Bachelor of Science degree (Hons.) in Electrical Engineering, majoring in Electronics and Communications, from the University of Engineering and Technology, Lahore, Pakistan (2001). Jafar works and researches in multi- and interdisciplinary environment involving machine learning, classifications and detection of Web scams, the Internet of things, wireless sensor networks, cryptography and using AlgebraicGeometric theory in channel coding for wireless networks. As part of his research, he designed the first regular and first irregular block turbo codes using AlgebraicGeometry codes and investigated their performance across various computer and wireless networks. He managed and directed few projects funded by the European Union. He has a cumulative research experience for over ten years, resulted in publishing more than forty papers in highly impacted journals.Currently, he is serving as Editor for IEEE Access Journal and wireless sensor networks area Editor for Turkish Journal of Electrical Engineering and Computer Sciences. In addition, he is Editorial Board Member and Reviewer in many other prestigious journals in computer engineering and science field. He also managed several special issues in high impacted journals.