Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Shom Prasad Das"'
Publikováno v:
Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development ISBN: 9781668468210
The chapter examines ML methods that appear to be applied in implementing systems with intelligent behaviour. It depends on two workshops on learning in system of intelligent manufacturing, an intensive survey of the literature, and various commitmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5a18271f21c2547673c9267ac09f158
https://doi.org/10.4018/978-1-6684-6821-0.ch003
https://doi.org/10.4018/978-1-6684-6821-0.ch003
Publikováno v:
Electronics; Volume 11; Issue 17; Pages: 2707
By creating an effective prediction model, software defect prediction seeks to predict potential flaws in new software modules in advance. However, unnecessary and duplicated features can degrade the model’s performance. Furthermore, past research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f4dbaee238b98b310076ccdb5ecdec2
Publikováno v:
Meta Heuristic Techniques in Software Engineering and Its Applications ISBN: 9783031117121
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e98335a3367ee53392a495ce36ea914
https://doi.org/10.1007/978-3-031-11713-8_23
https://doi.org/10.1007/978-3-031-11713-8_23
Publikováno v:
Meta Heuristic Techniques in Software Engineering and Its Applications ISBN: 9783031117121
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b8a795d3e00d8752831b6df12417daa
https://doi.org/10.1007/978-3-031-11713-8_5
https://doi.org/10.1007/978-3-031-11713-8_5
Autor:
Manisha Rani, Somnath Rath, Shom Prasad Das, Soumen Nayak, Aman Kumar Tiwari, Santosh Kumar Das
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811559709
Today’s applications of wireless communication increase rapidly due to its flexibility. Wireless Ad hoc Network (WANET) is one of the variations of the wireless network. The topology of the network is dynamic, so, in this network, parameter variati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dbae14c3c06576a0429d5b1a34fe03b
https://doi.org/10.1007/978-981-15-5971-6_27
https://doi.org/10.1007/978-981-15-5971-6_27
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811559709
The applications of Wireless Ad hoc Network (WANET) increases rapidly due to its effectiveness. Each node of this network behaves as router to send/receive data packets. In WANET, nodes contain limited capacity of energy, i.e., fail during data trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac9b00be2b744dee770dd6a1071408e
https://doi.org/10.1007/978-981-15-5971-6_26
https://doi.org/10.1007/978-981-15-5971-6_26
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811559709
In the modern era, the application of decision-making situation is increasing rapidly due to variations of customer requirement and satisfaction. There are several decision solutions also available in the market. These solutions may be crisp or fuzzy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5738cb5badfec60b9ed99184a38132b
https://doi.org/10.1007/978-981-15-5971-6_80
https://doi.org/10.1007/978-981-15-5971-6_80
This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the
Publikováno v:
Applied Intelligence. 45:1148-1165
In this paper, we present a highly accurate forecasting method that supports improved investment decisions. The proposed method extends the novel hybrid SVM-TLBO model consisting of a support vector machine (SVM) and a teaching-learning-based optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd67133cfa9795b6737b3c84db5adb1f
https://doi.org/10.1007/s10489-016-0801-3
https://doi.org/10.1007/s10489-016-0801-3
Autor:
Shom Prasad Das, Sudarsan Padhy
Publikováno v:
Memetic Computing. 9:333-346
Support vector regression (SVR) has been successfully applied in various domains, including predicting the prices of different financial instruments like stocks, futures, options, and indices. Because of the wide variation in financial time-series da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a385295ab0d01b4e017d265a896ad80b
https://doi.org/10.1007/s12293-016-0191-4
https://doi.org/10.1007/s12293-016-0191-4