Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Saikat Gochhait"'
Publikováno v:
Cogent Economics & Finance, Vol 12, Iss 1 (2024)
AbstractDespite the gravitation toward Internet banking research in the information systems and information technology literature, scholars and practitioners, particularly in emerging and developing countries, have not fully explored the barriers aff
Externí odkaz:
https://doaj.org/article/4ccb8d4c669a4f798fb93c44ecf867be
Autor:
Aakash Bhandary, Vruti Dobariya, Gokul Yenduri, Rutvij H. Jhaveri, Saikat Gochhait, Francesco Benedetto
Publikováno v:
IEEE Access, Vol 12, Pp 36764-36777 (2024)
Effective energy management is crucial for sustainability, carbon reduction, resource conservation, and cost savings. However, conventional energy forecasting methods often lack accuracy, suggesting the need for advanced approaches. Artificial intell
Externí odkaz:
https://doaj.org/article/810bce9d3bd9499d83c680b3e2cc4134
Autor:
Saikat Gochhait, Deepak Sharma
Publikováno v:
Journal of Applied Engineering and Technological Science, Vol 4, Iss 2 (2023)
Forecasting load is an integral part of the planning, operation, and control of power systems. This paper is part of a research effort aimed at developing better energy demand forecasting models for load dispatch centers (LDCs) in Indian states as pa
Externí odkaz:
https://doaj.org/article/9178bcc9e7874b0596b23fb5792fd73f
Autor:
Osama Al-Baik, Saleh Alomari, Omar Alssayed, Saikat Gochhait, Irina Leonova, Uma Dutta, Om Parkash Malik, Zeinab Montazeri, Mohammad Dehghani
Publikováno v:
Biomimetics, Vol 9, Iss 2, p 65 (2024)
A new bio-inspired metaheuristic algorithm named the Pufferfish Optimization Algorithm (POA), that imitates the natural behavior of pufferfish in nature, is introduced in this paper. The fundamental inspiration of POA is adapted from the defense mech
Externí odkaz:
https://doaj.org/article/fe46c86e46e54dac8fc4ff00bcbe7687
Autor:
Omar Alsayyed, Tareq Hamadneh, Hassan Al-Tarawneh, Mohammad Alqudah, Saikat Gochhait, Irina Leonova, Om Parkash Malik, Mohammad Dehghani
Publikováno v:
Biomimetics, Vol 8, Iss 8, p 619 (2023)
In this paper, a new bio-inspired metaheuristic algorithm called Giant Armadillo Optimization (GAO) is introduced, which imitates the natural behavior of giant armadillo in the wild. The fundamental inspiration in the design of GAO is derived from th
Externí odkaz:
https://doaj.org/article/9f9c102a1aa843aab74e0c51e23f9fb0
Publikováno v:
Frontiers in Sociology, Vol 8 (2023)
PurposeThis experimental study was conducted during the post-COVID-19 period to investigate the relationship between the quality of life 9 months after and the severity of the SARS-CoV-2 infection in two scenarios: hospitalization (with/without medic
Externí odkaz:
https://doaj.org/article/6465b6f017be4055b7e6b1a1081fcb49
Autor:
Selvakumar Thirumalaisamy, Kamaleshwar Thangavilou, Hariharan Rajadurai, Oumaima Saidani, Nazik Alturki, Sandeep kumar Mathivanan, Prabhu Jayagopal, Saikat Gochhait
Publikováno v:
Diagnostics, Vol 13, Iss 18, p 2925 (2023)
Breast cancer is the second leading cause of mortality among women. Early and accurate detection plays a crucial role in lowering its mortality rate. Timely detection and classification of breast cancer enable the most effective treatment. Convolutio
Externí odkaz:
https://doaj.org/article/2f69ed8bdd4c4c2bab17f334df01ef7f
Publikováno v:
Entropy, Vol 24, Iss 8, p 1070 (2022)
A central conundrum enshrouds biocognition: almost all such phenomena are inherently unstable and must be constantly controlled by external regulatory machinery to ensure proper function, in much the same sense that blood pressure and the ‘stream o
Externí odkaz:
https://doaj.org/article/3d27aa87a68648c5a1e24c9b897c35fe
Publikováno v:
Informatics in Medicine Unlocked, Vol 26, Iss , Pp 100705- (2021)
Background: Data analysis and visualization are essential for exploring and communicating medical research findings, especially when working with COVID records. Results: Data on COVID-19 diagnosed cases and deaths from December 2019 is collected auto
Externí odkaz:
https://doaj.org/article/fe6315f0df62426d833bd659b8ec4c6f
Autor:
Sujata Roy, Jeyalakshmi Jeyabalan, Saikat Gochhait, Poonkuzhali Sugumaran, M. Michael Gromiha
Publikováno v:
Ingénierie des systèmes d information. 28:309-314