Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Jasgurpreet singh chohan"'
Autor:
Wade Ghribi, Muhsen Al-ibadi, Subbulakshmi Ganesan, M. Ravi Kumar, Yashwantsinh Jadeja, Jasgurpreet Singh Chohan, Mamata Chahar, Rajni Verma, I. B. Sapaev, Abhinav Kumar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Initially, 4,4'-(1,4-phenylene)di(sulfonic)pyridinium tetrachloroferrate (PDSPTCF) as a novel organic–inorganic hybrid salt was synthesized and identified by elemental mapping, energy-dispersive X-ray spectroscopy, inductively coupled plas
Externí odkaz:
https://doaj.org/article/092bf335a61a4b5284be77ead0affc80
Autor:
Kapura Tudu, Debabrata Barik, Sreejesh S. R. Chandran, Prabhu Paramasivam, Jasgurpreet Singh Chohan
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 11, Pp 5145-5159 (2024)
Abstract This proposed study aims to characterize and utilize the biogas (BG) derived from the anaerobic co‐digestion of university hostel food waste and Vinasse (waste from the sugarcane industry) in a digester and to run an agricultural diesel en
Externí odkaz:
https://doaj.org/article/2dedccd0b6254853a602def838647ee9
Autor:
Abhijit Bhowmik, Binayak Sen, N. Beemkumar, Jasgurpreet Singh Chohan, Pardeep Singh Bains, Gurpartap Singh, Ambati Vijay Kumar, Johnson Santhosh A
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102981- (2024)
The aerospace and automotive industries, in particular, rely heavily on aluminium matrix composites because of their exceptional strength-to-mass ratio and resistance to high temperatures. This study investigates the development and wear resistivity
Externí odkaz:
https://doaj.org/article/081994e336d64f63bf63186f6c7eb8d7
Autor:
Abhijit Bhowmik, Raja Praveen K. N., Nilesh Bhosle, Kunal Gagneja, Zunirah Mohd Talib, Jasgurpreet Singh Chohan, Ahmed Alkhayyat, M. Janaki Ramudu, A. Johnson Santhosh
Publikováno v:
AIP Advances, Vol 14, Iss 10, Pp 105027-105027-14 (2024)
This study explores the application of machine learning algorithms—gene expression programming (GEP), adaptive neuro-fuzzy inference system (ANFIS), and artificial neural networks (ANN)—to predict machining responses during the milling of Inconel
Externí odkaz:
https://doaj.org/article/8774dc5e88bd4298866e6012d6a57b28
Autor:
Shaikh Hasibul Majid, Jasgurpreet Singh Chohan, Nouby M. Ghazaly, Ali Ihsan Alanssari, Carlos Rodriguez-Benites, Merwa Alhadrawi, Ali Shamel
Publikováno v:
AIP Advances, Vol 14, Iss 10, Pp 105017-105017-12 (2024)
At present, the use of smart systems to reduce energy consumption has been developing more and more, and the need to use these systems plays a significant role in energy systems. Smart systems can play a significant role when there are many energy pr
Externí odkaz:
https://doaj.org/article/c152d08a824a44adaccbc24f1f2a92cf
Autor:
D.O. Soumya, P. Venkatesh, Pudhari Srilatha, Jasgurpreet Singh Chohan, B.C. Prasannakumara, Mansoor Alshehri, Nehad Ali Shah
Publikováno v:
Case Studies in Thermal Engineering, Vol 60, Iss , Pp 104605- (2024)
The present study investigates the influence of buoyant strength on magnetohydrodynamic flow of Titanium dioxide (TiO2) water based nanoliquid in a vertical microchannel with convective boundary and velocity slip conditions. Additionally, exponential
Externí odkaz:
https://doaj.org/article/66fd637a51584443bd9f091134c3cf95
Autor:
Sundaram B. Pandya, Kanak Kalita, Robert Čep, Pradeep Jangir, Jasgurpreet Singh Chohan, Laith Abualigah
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-30 (2024)
Abstract This study delves into the exploration of a novel Multi-objective Snow Ablation Optimizer (MOSAO) algorithm, tailored for addressing expansive Optimal Power Flow (OPF) challenges inherent in intricate power systems. These systems are often c
Externí odkaz:
https://doaj.org/article/0b9fbfa5d20341e8bf7d6072e0f83e1d
Autor:
Mukesh Singh Manola, Balwant Singh, Manoj Kumar Singla, Jasgurpreet Singh Chohan, Raman Kumar, Yashwant Singh Bisht, Meshel Q. Alkahtani, Saiful Islam, Muhammad Imam Ammarullah
Publikováno v:
AIP Advances, Vol 14, Iss 5, Pp 055016-055016-27 (2024)
This study investigates the enhancement of mechanical properties of metal/polymer composites produced through fused deposition modeling and the prediction of the ultimate tensile strength (UTS) by machine learning using a Classification and Regressio
Externí odkaz:
https://doaj.org/article/18ac58fbc10347a7914f76ac4bf16e84
Autor:
K. V. Nagaraja, Umair Khan, J. K. Madhukesh, Ahmed M. Hassan, B. C. Prasannakumara, Nabil Ben Kahla, Samia Elattar, Jasgurpreet Singh Chohan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Access to dependable and environmentally friendly energy sources is critical to a country's economic growth and long-term development. As countries seek greener energy alternatives, the interaction of environmental elements, temperature, and
Externí odkaz:
https://doaj.org/article/2d4ec0d46fc644ab8c344b6233c9617e
Autor:
Sundaram B. Pandya, Pradeep Jangir, Miroslav Mahdal, Kanak Kalita, Jasgurpreet Singh Chohan, Laith Abualigah
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26369- (2024)
In this study, we tackle the challenge of optimizing the design of a Brushless Direct Current (BLDC) motor. Utilizing an established analytical model, we introduced the Multi-Objective Generalized Normal Distribution Optimization (MOGNDO) method, a b
Externí odkaz:
https://doaj.org/article/93e1a8ee541d4babbaed5da571595a12