Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Dehuri, P."'
Publikováno v:
Financial Innovation, Vol 10, Iss 1, Pp 1-43 (2024)
Abstract This study attempts to accelerate the learning ability of an artificial electric field algorithm (AEFA) by attributing it with two mechanisms: elitism and opposition-based learning. Elitism advances the convergence of the AEFA towards global
Externí odkaz:
https://doaj.org/article/f60abdccad4b4e9dbf9146fd4d9f6dc3
Autor:
Ankita Chakraborty, Prasana Kumar Rath, Susen Kumar Panda, Bidyut Prava Mishra, Manaswini Dehuri, Sangram Biswal, Manoj Kumar Jena, Basanta Pravas Sahu, Biswaranjan Paital, Dipak Kumar Sahoo
Publikováno v:
Pathogens, Vol 13, Iss 9, p 803 (2024)
The present study aimed to investigate pathological epidemiology and molecular confirmation of Ehrlichia canis among pet dogs in Bhubaneswar, Odisha, a state in eastern India. A total of 178 dogs were screened for Ehrlichiosis based on history, clini
Externí odkaz:
https://doaj.org/article/07e10c832b1746dab683950a007baf61
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 3, Pp 102462- (2024)
Compressive strength (CS) has been considered as the utmost critical parameter while designing concrete structures. Usually, it is determined through laboratory tests, which are expensive, time consuming, and requires consumptions of materials. There
Externí odkaz:
https://doaj.org/article/57177de2120d4ab581e22c5a4fefa215
Autor:
Himanshu Dutta, Saurabh Bilgaiyan, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Ashish Ghosh
Publikováno v:
IEEE Access, Vol 11, Pp 95432-95442 (2023)
In this work, we present a novel clustering approach which is inheriting the best characteristics of Unsupervised Functional Link Artificial Neural Network (UFLANN) and Genetic Algorithms (GAs) for uncovering clusters embedded in dataset represented
Externí odkaz:
https://doaj.org/article/d903620211f5463d88e1c442489e9447
Publikováno v:
IEEE Access, Vol 11, Pp 57693-57716 (2023)
Cryptocurrencies have carved out a significant presence in financial transactions during the past few years. Cryptocurrency market performs similarly to other financial markets with considerable nonlinearity and volatility and its prediction is a gro
Externí odkaz:
https://doaj.org/article/e3f6a417589e49d6a6fea1559c0fc89d
Akademický článek
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Akademický článek
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Publikováno v:
Applied Computing and Informatics, Vol 18, Iss 1/2, Pp 151-162 (2022)
This work presents a novel approach by considering teaching learning based optimization (TLBO) and radial basis function neural networks (RBFNs) for building a classifier for the databases with missing values and irrelevant features. The least square
Externí odkaz:
https://doaj.org/article/5bb312c60688446c8756e2589d099f56
Publikováno v:
IEEE Access, Vol 10, Pp 130921-130943 (2022)
Chemical reaction optimization (CRO) algorithm is a robust metaheuristic by simulating the process of natural chemical reaction and has been applied for solving numerous realistic problems. However, it is suffering from low population diversity, slow
Externí odkaz:
https://doaj.org/article/fe566a552c924756b5ea6fc0c2173877
Autor:
Monalisa Jena, Satchidananda Dehuri
Publikováno v:
IEEE Access, Vol 10, Pp 69373-69387 (2022)
This work presents an integrated framework for imputation of missing values and prediction of class label of unseen samples by using the best features of rule based inductive decision tree (DT) and Support Vector Machine (SVM) classifier (DT-SVM). In
Externí odkaz:
https://doaj.org/article/ceee8eb5d03443238e4f50adfa4d9d8e