Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Sapna Singh Kshatri"'
1
Akademický článek
An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach
Autor: Sapna Singh Kshatri, Deepak Singh, Bhavana Narain, Surbhi Bhatia, Mohammad Tabrez Quasim, G. R. Sinha
Publikováno v: IEEE Access, Vol 9, Pp 67488-67500 (2021)
Ensemble learning method is a collaborative decision-making mechanism that implements to aggregate the predictions of learned classifiers in order to produce new instances. Early analysis has shown that the ensemble classifiers are more reliable than
Externí odkaz: https://doaj.org/article/f010a7ed56e940238ef13482da7fbcde
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2
Akademický článek
Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence Technique
Autor: Danish Ather, Suman Madan, Manjushree Nayak, Rohit Tripathi, Ravi Kant, Sapna Singh Kshatri, Rituraj Jain
Publikováno v: Journal of Food Quality, Vol 2022 (2022)
A modern worldview has developed in rural methods, devices, and advances. Exactness in agribusiness is required to guarantee site-specific editing of administration, which incorporates soil supplement arrangements that are custom fitted to each crop
Externí odkaz: https://doaj.org/article/ea368079be7742bea89cb467ac8829e7
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4
An AI-Based Efficient Model for the Classification of Traffic Signals Using Convolutional Neural Network
Autor: Manjushree Nayak, Ashish Kumar Dass, Sapna Singh Kshatri
Publikováno v: Building Secure Business Models Through Blockchain Technology ISBN: 9781668478080
The objective of this study is to build a model for the classification of traffic signs available in the image into many categories using a CNN and Keras library to detect the traffic sign. The goal of the traffic sign recognition is to build a deep
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::99ea8fe9d7a0d07ba6f255ad8e71921d
https://doi.org/10.4018/978-1-6684-7808-0.ch002
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5
Mental Task Classification Using Deep Transfer Learning with Random Forest Classifier
Autor: Sapna Singh Kshatri, Deepak Singh, Mukesh Kumar Chandrakar, G. R. Sinha
Publikováno v: International Journal of Biomedical and Clinical Engineering. 11:1-17
A BCI theoretical idea is to construct an output feature or task for a user using brain signals. These signals are then transmitted to the machine where the required task is performed. In this work, we present a mental task classification model that
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec29fdfea460b6b5e4189c1e70becf15
https://doi.org/10.4018/ijbce.301215
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10
An Investigation of the Coronavirus Disease (COVID-19) Mortality Risk Using Machine Learning
Autor: Sapna Singh Kshatri, Sameer Sharma, G. R. Sinha
Septic shock, acute respiratory distress syndrome, multi-organ failure are all possible complications of the illness. In this work, machine learning is used to construct and assess mortality risk models that were evaluated (both positive and negative
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0cc5b8f84ff6e5dd055e769256149523
https://doi.org/10.4018/978-1-7998-9831-3.ch001
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