Search

Your search keyword '"Manohar, N"' showing total 485 results
Start Over Author "Manohar, N"
485 results on '"Manohar, N"'

3. Face Recognition Using Sketch Images

Author

Darshana, T., Manohar, N., Chandrajith, M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Guru, D. S., editor, Kumar, N. Vinay, editor, and Javed, Mohammed, editor

Published
2024
Full Text
View/download PDF

4. Detection, Classification and Counting of Moving Vehicles from Videos

Author

Sunny, Alfina, Manohar, N., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Guru, D. S., editor, Kumar, N. Vinay, editor, and Javed, Mohammed, editor

Published
2024
Full Text
View/download PDF

11. Masked Face Recognition Using Deep Learning Approach

Author

Jhanavi, V., Sanjay Nag, A., Manohar, N., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Smys, S., editor, Tavares, João Manuel R. S., editor, and Shi, Fuqian, editor

Published
2023
Full Text
View/download PDF

13. Lane and Traffic Sign Detection for Autonomous Vehicles: Addressing Challenges on Indian Road Conditions

Author

H. S. Gowri Yaamini, Swathi K J, Manohar N, and Ajay Kumar G

Subjects
YOLOv8 Transfer Learning, Science
Abstract

Accurate and precise detection of lanes and traffic signs is predominant for the safety and efficiency of autonomous vehicles and these two significant tasks should be addressed to handle Indian traffic conditions. There are several state-of-art You Only Live Once (YOLO) models trained on benchmark datasets which fails to cater the challenges of Indian roads. To address these issues, the models need to be trained with a wide variety of Indian data samples for the autonomous vehicles to perform better in India. YOLOv8 algorithm has its challenges but gives better precision results and YOLOv8 nano variant is widely used as it is computationally less complex comparatively. Through rigorous evaluations of diverseness in the datasets, the proposed YOLOv8n transfer learning models exhibits remarkable performance with a mean Average Precision (mAP) of 90.6 % and inference speed of 117 frames per second (fps) for lane detection whereas, a notable mAP of 81.3 % for traffic sign detection model with a processing speed of 56 fps. • YOLOv8n Transfer Learning approach by adjusting architecture for lane and traffic sign detection in Indian diverse Urban, Suburban, and Highway scenarios. • Dataset with 22,400 images of normal and complex Indian scenarios include crude weathering of roads, traffic conditions, diverse tropical weather conditions, partially occluded and partially erased lanes, and traffic signs. • The model performance with notable precision and frame wise inference.

Published
2025
Full Text
View/download PDF

18. Classification of Satellite Images

Author

Manohar, N., Pranav, M. A., Aksha, S., Mytravarun, T. K., Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Senjyu, Tomonobu, editor, Mahalle, Parikshit N., editor, Perumal, Thinagaran, editor, and Joshi, Amit, editor

Published
2021
Full Text
View/download PDF

20. Consensus in the Presence of Multiple Opinion Leaders: Effect of Bounded Confidence

Author

Dabarera, Ranga, Premaratne, Kamal, Murthi, Manohar N., and Sarkar, Dilip

Subjects
Computer Science - Social and Information Networks, Computer Science - Multiagent Systems, Computer Science - Systems and Control
Abstract

The problem of analyzing the performance of networked agents exchanging evidence in a dynamic network has recently grown in importance. This problem has relevance in signal and data fusion network applications and in studying opinion and consensus dynamics in social networks. Due to its capability of handling a wider variety of uncertainties and ambiguities associated with evidence, we use the framework of Dempster-Shafer (DS) theory to capture the opinion of an agent. We then examine the consensus among agents in dynamic networks in which an agent can utilize either a cautious or receptive updating strategy. In particular, we examine the case of bounded confidence updating where an agent exchanges its opinion only with neighboring nodes possessing 'similar' evidence. In a fusion network, this captures the case in which nodes only update their state based on evidence consistent with the node's own evidence. In opinion dynamics, this captures the notions of Social Judgment Theory (SJT) in which agents update their opinions only with other agents possessing opinions closer to their own. Focusing on the two special DS theoretic cases where an agent state is modeled as a Dirichlet body of evidence and a probability mass function (p.m.f.), we utilize results from matrix theory, graph theory, and networks to prove the existence of consensus agent states in several time-varying network cases of interest. For example, we show the existence of a consensus in which a subset of network nodes achieves a consensus that is adopted by follower network nodes. Of particular interest is the case of multiple opinion leaders, where we show that the agents do not reach a consensus in general, but rather converge to 'opinion clusters'. Simulation results are provided to illustrate the main results., Comment: IEEE Transactions on Signal and Information Processing Over Networks, to appear

Published
2016
Full Text
View/download PDF

28. Convolutional Neural Network with SVM for Classification of Animal Images

Author

Manohar, N., Kumar, Y. H. Sharath, Rani, Radhika, Kumar, G. Hemantha, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Sridhar, V., editor, Padma, M.C., editor, and Rao, K.A. Radhakrishna, editor

Published
2019
Full Text
View/download PDF

48. Who Supports QAnon? A Case Study in Political Extremism

Author

Adam M. Enders, Manohar N. Murthi, Michelle I. Seelig, John R. Funchion, Justin Stoler, Stefan Wuchty, Joseph E. Uscinski, Casey A. Klofstad, and Kamal Premaratne

Subjects
Politics, Sociology and Political Science, Political science, Political economy
Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results