Cognitive Systems and Signal Processing in Image Processing. Cognitive Data Science in Sustainable Computing

Table of Contents

1. Approach cognitive for health digital based on deep learning focused on classification and recognition of white blood cells Ana Carolina Borges Monteiro, Reinaldo Padilha Franca, Rangel Arthur, and Yuzo Iano

2. Assessment of land use land cover change detection in multitemporal satellite images using machine learning algorithm Mahalakshmi Murugan, S Rohini, and N Sureshkumar

3. Web application for crowd counting by building parallel and direct connection method CNN architectures Zhilin Hu

4. A cognitive system for lip identification using convolution neural networks Vishesh Agarwal and Rahul Raman

5. An overview of the impact of PACS as health informatics and technology e-health in healthcare management Reinaldo Padilha Franca, Ana Carolina Borges Monteiro, Rangel Arthur, and Yuzo Iano

6. Change detection technique for remote sensing application: An overview Rohini Selvaraj and Sureshkumar Nagarajan

7. Facial emotion recognition via stationary wavelet entropy and particle swarm optimization Xiang Li and Junding Sun

8. A research insight toward the significance in extraction of retinal blood vessels from fundus images and its various implementations Nimisha Anns Oommen and P. Darsana

9. Hearing loss classification via stationary wavelet entropy and cat swarm optimization Chong Yao

10. Early detection of breast cancer using efficient image processing algorithms and prediagnostic techniques: A detailed approach G. Boopathi Raja

11. Plant leaf and its disease, deficiency, and toxicity classification using machine learning approach K.R. Anu Bama and S. SujaPriyadharsini

12. EEG-based computer-aided diagnosis of autism spectrum disorder A. Sivasangari, Kishore Sonti, Grace Prince Kanmani, Sindhu, and D. Deepa

13. Toward improving the accuracy in the diagnosis of schizophrenia using functional magnetic resonance imaging (fMRI) M. Kaviya Elakkiya and Dejey

14. Artificial intelligence mediated integrated wearable device for diagnosis of cardio through remote monitoring A. Sivasangari, R. Subhashini, S. Poonguzhali, Immanuel Rajkumar, J.S. Vimali, and D. Deepa

15. Deep learning for accident avoidance in a hostile driving environment S. Selva Nidhyananthan, R. Newlin Shebiah, B. Vijaya Kumari, and K. Gopalakrishnan

16. Risk analysis of coronavirus patients who have underlying chronic disease cancer V. Kakulapati

Authors

Yu-Dong Zhang Professor, Department of Informatics, University of Leicester, Leicester, UK. Yu-Dong Zhang received his Ph.D. from Southeast University. He worked as postdoc from 2010 to 2012 in Columbia University, USA, and as an assistant research scientist from 2012 to 2013 at the Research Foundation of Mental Hygiene, USA. He served as a full professor from 2013 to 2017 in Nanjing Normal University, where he was the founding director of Advanced Medical Image Processing Group in NJNU. He currently works as a professor in the Department of Informatics, University of Leicester, UK. His research interests include deep learning, convolutional neural networks, graph convolutional networks, attention networks, explainable AI, medical image analysis, bio-inspired computing, pattern recognition, transfer learning and medical sensors. Arun Kumar Sangaiah School of Computer Science, The University of Adelaide, Australia. Dr. Arun Kumar Sangaiah received his Master of Engineering from Anna University and Ph.D. from VIT University, India. He is currently as a Professor at the School of Computing Science and Engineering, VIT University, Vellore, India. His areas of research interest include machine learning, Internet of Things, Sustainable Computing. Moreover, he has holding visiting professor positions in China, France, Japan, South Korea. Further, he has been visited many research centers and universities in China, Japan, France, Singapore and South Korea for join collaboration towards research projects and publications. Dr. Sangaiah's outstanding scientific production spans over 200+ contributions published in high standard ISI journals, such as IEEE-TII, IEEE-Communication Magazine, IEEE Systems and IEEE IoT. In addition, he has authored/edited 8 books (Elsevier, Springer and others) and edited 50 special issues in reputed ISI journals, such as IEEE-Communication Magazine, IEEE-TII, IEEE-IoT, ACM transaction on Intelligent Systems and Technology etc. He has also registered one Indian patent in the area of Computational Intelligence. His Google Scholar Citations reached 5000+ with h-index: 40+ and i10-index: 150+. Further, Dr. Sangaiah is responsible for EiC, Editorial Board Member and Associate Editor of many reputed ISI journals.Finally, he has received many awards that includes,Chinese Academy of Sciences-PIFI overseas visiting scientist award, UPEC-France Visiting Scholar award, Carrers-360 Top-10 Outstanding Researchers award and etc.