1st Edition

Machine Intelligence Computer Vision and Natural Language Processing

342 Pages 110 B/W Illustrations
by Auerbach Publications

342 Pages 110 B/W Illustrations
by Auerbach Publications

342 Pages 110 B/W Illustrations
by Auerbach Publications

Machines are being systematically empowered to be interactive and intelligent in their operations, offerings. and outputs. There are pioneering Artificial Intelligence (AI) technologies and tools. Machine and Deep Learning (ML/DL) algorithms, along with their enabling frameworks, libraries, and specialized accelerators, find particularly useful applications in computer and machine vision, human... Read more

1. A New Frontier in Machine Intelligence: Creativity
Ardhendu G. Pathak

2. Overview of Human Computer Interaction
Nancy Jasmine Goldena

3. Edge/Fog Computing: An Overview and Insight into Research Directives
Priya Thomas and Deepa V. Jose

4. Reduce Overfitting and Improve Deep Learning Models' Performance in Medical Image Classification
Nidhin Raju and D. Peter Augustine

5. Motion Images Object Detection Over Voice Using Deep Learning Algorithms
P.L. Chithra and J. Yasmin Banu

6. Diabetic Retinopathy Detection Using Various Machine Learning Algorithms
P. K. Nizar Banu and Yadukrishna Sreekumar

7. IIoT Applications and Services
P.Shanmugavadivu, T. Kalaiselvi, M. Mary Shanthi Rani, and P. Haritha

8. Design of Machine Learning Model for Healthcare Index during COVID-19
Nishu Gupta, Soumya Choubey, Ity Patni, Vaibhav Bhatnagar, and Ramesh Chandra Poonia

9. Ubiquitous Computing and Augmented Reality in HCI
Nancy Jasmine Goldena and Thangapriya

10. A Machine Learning-Based Driving Assistance System for Lane and Drowsiness Monitoring
Sanjay A. and Gobi Ramasamy

11. Prediction of Gastric Cancer from Gene Expression Dataset using Supervised Machine Learning Models
Manikandan P, Ruban Christopher D, and Luthuful Haq

12. Sewer Pipe Defect Detection of CCTV Images Using Deep Learning Techniques
P.L. Chithra and P. Bhavani

13. Learning and Reasoning on Artificial Intelligence
Merjula Roby

14. A Novel Auto Encoder-Network-Based Ensemble Technique for Sentiment Analysis of Tweets on COVID-19 Data
R. Jyothsna, V. Rohini, and Joy Paulose

15. Economic Sustainability, Mindfulness, and Diversity in the Age of Artificial Intelligence and Machine Learning
Ranjit Singha and Surjit Singha

16. Adopting Streaming Analytics for Healthcare and Retail Domains
G. Nagarajan, Kiran Singh, T. Poongodi, and Suman Avdhesh Yadav

Biography

Pethuru Raj has been working as the chief architect in the Site Reliability Engineering (SRE) division of Reliance Jio Platforms Ltd., Bangalore. He previously worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch. In total, he has gained more than 19 years of IT industry experience and 8 years of research experience.

P Beaulah Soundarabai is an associate professor in the Department of Computer Science, Christ University, Bangalore, having 20 years of teaching experience. She is been associated with Christ University for the past 14 year. Prior to this, she has teaching experience in SFR College for Women, Sivakasi, and AGCS, Kolkata lecturer, and in for 3 years respectively. She has 10 years of research experience in the areas of Distributed Computing, Computer Networks, IoT, Edge and Cloud computing, and Data Analytics.

Peter Augustine has been working as an Associate Professor in the Department of Computer Science, CHRIST (Deemed to be University), Bangalore. Peter Augustine has a PhD in Medical Image Processing in Cloud Environment, with over 8 years in cloud computing and 5 years in Big Data Analytics. He has authored various research papers published in peer-reviewed journals. He has been involved in a Major Research Project using Cloud Computing which costs more than 18 lakhs. He has also collaborated with St. John’s Medical Research Institute for the research project to diagnose Lung Diseases using cutting-edge AI and Machine Learning.