Search

Your search keyword '"Kumar, Aniket"' showing total 336 results
Start Over Author "Kumar, Aniket"
336 results on '"Kumar, Aniket"'

22. Machine Learning Framework for Polycystic Ovary Syndrome

Author

Kumar, Aniket, Sharma, Drishti, Tyagi, Akash, Kapoor, Anjali, Mishra, Anju, 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, Choudrie, Jyoti, editor, Mahalle, Parikshit N., editor, Perumal, Thinagaran, editor, and Joshi, Amit, editor

Published
2024
Full Text
View/download PDF

28. Detection of COVID-19 Cases from Chest Radiography Images

Author

Kumar, Aniket, Niraj, Nishant, Tenneti, Venkat Narsimam, Singh, Brijendra Pratap, Mishra, Debahuti, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Dehuri, Satchidananda, editor, Prasad Mishra, Bhabani Shankar, editor, Mallick, Pradeep Kumar, editor, and Cho, Sung-Bae, editor

Published
2022
Full Text
View/download PDF

29. Performance Evaluation of Various Speech Enhancement Algorithms

Author

Kumar, Aniket, 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, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, 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, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Mallick, Pradeep Kumar, editor, Bhoi, Akash Kumar, editor, González-Briones, Alfonso, editor, and Pattnaik, Prasant Kumar, editor

Published
2022
Full Text
View/download PDF

34. IOT ENABLED SMART AGRICULTURE SYSTEM FOR DETECTION AND CLASSIFICATION OF TOMATO AND BRINJAL PLANT LEAVES DISEASE.

Author

KASERA, ROHIT KUMAR, NATH, SWARNALI, DAS, BIKASH, KUMAR, ANIKET, and ACHARJEE, TAPODHIR

Subjects
AGRICULTURE, COMPUTER vision, CONVOLUTIONAL neural networks, PLANT diseases, PLANT classification
Abstract

Internet of Things (IoT) assisted smart farming techniques are gradually being used efficiently for identification and classification of vegetable plant diseases. Detection and classification of diseases in these plant families like Solanaceae are still problematic using DCNN due to variations in environmental conditions, genome variation, type of disease, etc. In this paper, two methods for spotting and diagnosing diseases of brinjal and tomato plants leaves named as Optimal Environmental Traversing Alert (OETA) and Optimum diagnosis of Solanaceae leaf diseases (ODSLD) respectively have been proposed. The OETA machine learning (ML) based method is used first to detect the disease, and then the ODSLD deep convolutional neural networks (DCNN) method is used to classify it. An analysis of the proposed method experiments showed that OETA disease detection for brinjal plant (eggplants) was 97.81 percent and for tomato plants was 99.03 percent. For disease classification by ODSLD method, the VGG-16 for brinjal plant and ResNet-50 for tomato plants outperformed other existing DCNN computer vision methods. [ABSTRACT FROM AUTHOR]

Published
2025
Full Text
View/download PDF

36. Comparative Analysis on Crop Yield Forecasting using Machine Learning Techniques.

Author

Sharma, Shubham, Walia, Gurleen Kaur, Singh, Kanwalpreet, Batra, Vanshika, Sekhon, Amandeep Kaur, Kumar, Aniket, Rawal, Kirti, and Ghai, Deepika

Subjects
CROP yields, MACHINE learning, DEEP learning, SUSTAINABILITY, COMPARATIVE studies
Abstract

Global overpopulation necessitates increased crop yields, yet available arable land is limited. The study compares and evaluates the performance of three machine learning algorithms—Random Forest (RF), Extra Trees (ET), and Artificial Neural Network (ANN)—in crop yield prediction. Using 28,242 samples with seven features from 101 countries, we evaluated these models based on Mean Absolute Error (MAE), R-squared (R^2), and Mean Squared Error (MSE). The ET regression model demonstrated superior performance, achieving an MAE of 5249.03, the lowest among the models tested. Despite having the highest R^2 value of 0.9873, the ANN exhibited higher MAE and MSE values, indicating less reliability. The RF model showed intermediate results. With a prediction accuracy of 97.5%, the ET model proved to be the most effective for crop yield prediction, achieving the highest accuracy reported to date. Future research should explore more advanced algorithms and larger datasets to validate these findings further. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

39. Performance Evaluation and Synthesis of FIR Filters Using Various Multipliers Algorithms

Author

Kumar, Aniket, Agarwal, R. P., 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, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, 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, Mekhilef, Saad, editor, Favorskaya, Margarita, editor, Pandey, R. K., editor, and Shaw, Rabindra Nath, editor

Published
2021
Full Text
View/download PDF

40. A Novel Deployment Scheme to Enhance the Coverage in Wireless Sensor Network

Author

Sateesh, Vishnu Anugrahith, Kumar, Aniket, Priyadarshi, Rahul, Nath, Vijay, 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, Martín, 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, Nath, Vijay, editor, and Mandal, J. K., editor

Published
2021
Full Text
View/download PDF

41. Design and Implementation of Efficient FIR Low Pass Filters Based on Vedic and Traditional Digital Multiplier Algorithm

Author

Kumar, Aniket, Agarwal, R. P., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, di Mare, Francesca, Series Editor, Manik, Gaurav, editor, Kalia, Susheel, editor, Sahoo, Sushanta Kumar, editor, Sharma, Tarun K., editor, and Verma, Om Prakash, editor

Published
2021
Full Text
View/download PDF

46. Contributors

Author

Asad, Asad, primary, Anupama, G.M., additional, Astley, Henry C., additional, Bacca, Mattia, additional, Benvidi, Farid H., additional, Bhate, Dhruv, additional, Rivera Cárdenas, Claudia, additional, Chowdhury, Harun, additional, Church, Ryan A., additional, Daneluzzo, Mirko, additional, Daniel, Anne-Marie, additional, de la Cruz, Christian, additional, Dutta, Subhrajit, additional, Dyson, Rodger W., additional, Eggermont, Marjan, additional, Engelhardt, Sebastian, additional, Gandomi, Amir H., additional, Girish, T.E., additional, Goss, Derek, additional, Grishin, Alex, additional, Gruber, Petra, additional, Khungura, Harman, additional, Kumar, Aniket, additional, Lakshmi, G., additional, Liang, Tianshuo, additional, Loganathan, Bavin, additional, McMillon-Brown, Lyndsey, additional, Montana-Hoyos, Carlos, additional, Morais, Renata Lemos, additional, Patel, Sayjel Vijay, additional, Penick, Clint A., additional, Perusek, Gail, additional, Romanofsky, Robert, additional, Sameoto, Dan, additional, Shyam, Vikram, additional, Siman, Kelly, additional, Sinn, Thomas, additional, Stachew, Elena, additional, Tchakerian, Raffi, additional, Unsworth, Colleen K., additional, Vasile, Massimiliano, additional, and Williams, Tiffany S., additional

Published
2022
Full Text
View/download PDF

49. GENETIC VARIABILITY STUDIES IN ADVANCED MUTANT LINES OF SOYBEAN (GLYCINE MAX L. MERRILL).

Author

Kumar, Aniket, Verma, Nutan, Surin, Supriya Supal, Mishra, Sumit Kumar, Agarwal, Arjun Kumar, and Singh, Shreya

Abstract

262 M6 mutants of soybean genotype BSS-2 and 254 M6 mutants of soybean genotype RKS-18 were used in the study conducted in 2019-20. Both genotypes underwent irradiation using five gamma-ray doses [50Gy, 100Gy, 150Gy, 200Gy and 400Gy] in Kharif 2014 under the BRNS-BARC project at the Department of Genetics and Plant Breeding, B.A.U., Ranchi. This resulted in 265 M6 mutant plants of BSS-2 and 254 M6 mutant plants of RKS-18 in 2018. Genetic parameters were evaluated. Non-replicated plant-to-progeny rows were grown for all mutants, and observations for quantitative traits were recorded on ten random plants of each mutant progeny of both genotypes. Both BSS-2 and RKS-18 demonstrated unique responses to different gamma-ray doses. RKS-18 displayed notable differences, particularly in the number of pods per plant, 100 seed weight and yield per plant. It indicated low genetic and phenotypic coefficients of variation, suggesting minimal environmental influence on trait expression. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results