Kishor Kumar Reddy C.

C Kishor Kumar Reddy , currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 10 years. He has published more than 60 research papers in National and International Conferences, Book Chapters, and Journals indexed by Scopus and others. He is an author for 2 text books and 2 co-edited books. He acted as the special session chair for Springer FICTA 2020, 2022, SCI 2021, INDIA 2022 and IEEE ICCSEA 2020 conferences. He is the corresponding editor of AMSE 2021 conferences, published by IoP Science JPCS. He is the member of ISTE, CSI, IAENG, UACEE, IACSIT.

Publications

A Study and Analysis on Diagnosis of Melanoma Cancer With Deep Learning: A Case Study
A Study and Analysis on Diagnosis of Melanoma Cancer With Deep Learning: A Case Study
P. Yashashwini Reddy, C. Kishor Kumar Reddy, Natassia Thandiwe Sithole. © 2024. 16 pages.
The riskiest type of skin cancer is known as melanoma cancer, with more than millions of human populations identifying with this type in the last two decades around the world....
Dactylology Prediction Using Convolution Neural Networks
Dactylology Prediction Using Convolution Neural Networks
C. Kishor Kumar Reddy, Sahithi Reddy Pullannagari, Srinath Doss, P. R. Anisha. © 2024. 12 pages.
Dactylology is a technique used by individuals who are deaf or heard of hearing to communicate by making signs with their fingers, particularly in manual alphabets. The goal of...
Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0
Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0
Archi Dubey, C. Kishor Kumar Reddy, Srinath Doss, Marlia Mohd Hanafiah. © 2024. 475 pages.
The healthcare industry is increasingly complex, demanding personalized treatments and efficient operational processes. Traditional research methods need help to keep pace with...
Nowcasting Various Forms of Precipitation Using Improvised Random Forest Classifier
Nowcasting Various Forms of Precipitation Using Improvised Random Forest Classifier
Ashritha Pilly, C. Kishor Kumar Reddy. © 2024. 22 pages.
Weather forecasting is the utilization of science and technology to foresee the conditions of the atmosphere for a given location and time. Weather forecasting is high priority...
Digital Twins in Healthcare: Addressing Concerns and Meeting Professional Needs
Digital Twins in Healthcare: Addressing Concerns and Meeting Professional Needs
Christina Joseph Jyothula, Kishor Kumar Reddy C., Thandiwe Sithole. © 2024. 21 pages.
Digital twin is the virtual representation of a physical system that processes information from its physical counterpart's environment, used to predict, simulate, and...
Revolutionizing Healthcare: A Marketing Approach to Digital Twin Technology
Revolutionizing Healthcare: A Marketing Approach to Digital Twin Technology
Areesha Fatima, Kishor Kumar Reddy C., Thandiwe Sithole. © 2024. 18 pages.
Digital twin technology has emerged as a transformative force for healthcare in an age marked by technological progress. Various marketing strategies aimed at bringing digital...
Revolutionizing Malaria Prediction Using Digital Twins and Advanced Gradient Boosting Techniques
Revolutionizing Malaria Prediction Using Digital Twins and Advanced Gradient Boosting Techniques
Lasya Vedula, Kishor Kumar Reddy C., Ashritha Pilly, Srinath Doss. © 2024. 18 pages.
A persistent global health concern is malaria, a potentially fatal illness caused by Plasmodium parasites spread by Anopheles mosquitoes. The most severe instances are caused by...
Advancing Human-Centric Solutions: The Future Trajectory of Soft Computing in Modern Society
Advancing Human-Centric Solutions: The Future Trajectory of Soft Computing in Modern Society
Monika Singh T., Kishor Kumar Reddy C., Kari Lippert. © 2024. 18 pages.
The proposed chapter explores how soft computing has developed to provide human-centric solutions, highlighting the difficulties it has encountered and outlining important...
Artificial Intelligence's Potential to Improve Operational Efficiency and Customer Experience in the Hospitality and Tourism Sectors
Artificial Intelligence's Potential to Improve Operational Efficiency and Customer Experience in the Hospitality and Tourism Sectors
Mahathi Avula, Kishor Kumar Reddy C., Thandiwe Sithole. © 2024. 32 pages.
This study examines the incorporation of artificial intelligence (AI) technologies in the sectors of tourism and hospitality with the goal of understanding how they influence...
Climate Change Mitigation and Adaptation Strategies Enhanced by Intelligent Systems in Industry 6.0
Climate Change Mitigation and Adaptation Strategies Enhanced by Intelligent Systems in Industry 6.0
M. Swathi Reddy, C. Kishor Kumar Reddy, Marlia Mohd Hanafiah. © 2024. 28 pages.
Climate change is currently one of the most significant global concerns that we are confronting.Extreme weather events, rising sea levels, and global warming are already having...
Human-Machine Collaboration and Emotional Intelligence in Industry 6.0: Concepts, Challenges, and Future Directions
Human-Machine Collaboration and Emotional Intelligence in Industry 6.0: Concepts, Challenges, and Future Directions
Kishor Kumar Reddy C., Aendra Varshita Reddy, Srinath Doss, Kalyani Priyanka. © 2024. 26 pages.
This chapter focuses on how human-centred methods and cutting-edge technologies are combined to create new opportunities for creativity and synergy. Industry 6.0 aims to improve...
An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorders Using Machine Learning
An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorders Using Machine Learning
Kishor Kumar Reddy C., Pullisani Satvika, Srinath Doss, Marlia M. Hanafiah. © 2023. 23 pages.
Recently, the increase in internal health problems in society has led to an increase in research on the development of mechanistic capacity models to detect or predict internal...
An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorders Using Machine Learning
An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorders Using Machine Learning
C. Kishor Kumar Reddy. © 2023. 22 pages.
Recently, the increase in internal health problems in society has led to an increase in research on the development of mechanistic capacity models to detect or predict internal...