Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Ashis Kumar Mandal"'
Publikováno v:
Modelling, Vol 5, Iss 1, Pp 292-314 (2024)
Understanding and analyzing the search intent of a user semantically based on their input query has emerged as an intriguing challenge in recent years. It suffers from small-scale human-labeled training data that produce a very poor hypothesis of rar
Externí odkaz:
https://doaj.org/article/f64e40f3a419447e9c3995a92b11d9cb
Publikováno v:
IEEE Access, Vol 12, Pp 62341-62357 (2024)
The identification of suitable feature subsets from High-Dimensional Low-Sample-Size (HDLSS) data is of paramount importance because this dataset often contains numerous redundant and irrelevant features, leading to poor classification performance. H
Externí odkaz:
https://doaj.org/article/06d6923e3a5e4dc0b17690f2c12390e0
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 4, Pp 771-787 (2021)
Stability of feature selection algorithm refers to its robustness to the perturbations of the training set, parameter settings or initialization. A stable feature selection algorithm is crucial for identifying the relevant feature subset of meaningfu
Externí odkaz:
https://doaj.org/article/3bb01927e0734c1ea6342675817ccf50
Publikováno v:
Symmetry, Vol 13, Iss 8, p 1544 (2021)
Accurate global horizontal irradiance (GHI) forecasting is crucial for efficient management and forecasting of the output power of photovoltaic power plants. However, developing a reliable GHI forecasting model is challenging because GHI varies over
Externí odkaz:
https://doaj.org/article/e151cdf2c9264ad59dbc67d6ed9e4191
Publikováno v:
Computation, Vol 8, Iss 2, p 46 (2020)
The paper investigates a partial exam assignment approach for solving the examination timetabling problem. Current approaches involve scheduling all of the exams into time slots and rooms (i.e., produce an initial solution) and then continuing by imp
Externí odkaz:
https://doaj.org/article/a9eea8a2d9f64ee58d529d968542624d
Autor:
Ashis Kumar Mandal, Ranjan Sen
Publikováno v:
Technologies, Vol 3, Iss 2, Pp 111-125 (2015)
This study presents microwave absorption of raw materials used in barium borosilicate, Fe-doped alumina phosphate and zinc borate glass. Microwave absorption was investigated for the raw materials SiO2, Na2CO3, BaCO3, BPO4, Al(PO3)3, Mg(PO3)2, Al(OH)
Externí odkaz:
https://doaj.org/article/f1dc8c5343e54815a688a3dbd3b8111a
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:4173-4190
Jeffries-Matusita (JM) distance, a transformation of the Bhattacharyya distance, is a widely used measure of the spectral separability distance between the two class density functions and is generally used as a class separability measure. It can be c
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 37
Finding the optimum subset of genes for microarray classification is laborious because microarray data are often high-dimensional and contain many irrelevant and redundant genes. To overcome this problem, we have proposed a two-step technique. In the
Publikováno v:
Proceedings of International Conference on Data Science and Applications ISBN: 9789811966330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::260d281a9b0649dd58befc516276e25b
https://doi.org/10.1007/978-981-19-6634-7_38
https://doi.org/10.1007/978-981-19-6634-7_38
Autor:
A. Agnihotri, Sudhir Amritphale, S. Arisutha, Sneha Bahadure, Harsh Bajpai, Manasi Buzar Baruah, Sanjay Basumatary, Mamta Bhagat, Alimpia Borah, M.J. Chaddha, R.G. Chaudhary, Nayaku N. Chavan, Ravi Kant Choubey, U.K. Dwivedi, Sourja Ghosh, Monti Gogoi, Rajiv Goswami, Barun Haldar, S.A.R. Hashmi, Swapnali Hazarika, Vrushali H. Jadhav, Amol N. Joshi, Jyeshtharaj B. Joshi, Pranjal Kalita, Sanjay P. Kamble, Sushil Kumar Kansal, Mohd. Akram Khan, Ashis Kumar Mandal, Sitendu Mandal, Nishant Markandeya, Medha Mili, Sourav Nag, Biswajit Nath, Rohan S. Oak, Chetana R. Patil, Sriparna Paul, Akm Rahman, Suchita Rai, Mohd Aseel Rizwan, Dilip D. Sarode, N.B. Singh, Surinder Singh, S. Suresh, Sarika Verma
Publikováno v:
Advanced Materials from Recycled Waste ISBN: 9780323856041
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::989446cb6a26e05060c92c78c6e093ae
https://doi.org/10.1016/b978-0-323-85604-1.09990-x
https://doi.org/10.1016/b978-0-323-85604-1.09990-x