Výsledky vyhledávání - "Pardeep, Singh"

Akademický článek

Delineation of mineralization-related geologic structures and lithological units using airborne magnetic and radiometric data

Autor: Christian Ordóñez, Stephen Eguba Ekwok, Ahmad Alkhayaat, Pardeep Singh Bains, Rohit Sharma, Raman Kumar, Ankur Kulshreshta, Vikasdeep Singh Mann, Yasser Elmasry

Publikováno v: Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 10, Iss 1, Pp 1-22 (2024)

Abstract The Ilesha and Ado-Ekiti areas are characterized by extensive mineral potentials, including both metallic and non-metallic resources. To detect the probable zones of mineralization, airborne magnetic and radiometric data were applied to map

Externí odkaz: https://doaj.org/article/336922afef9041a08e080546b8700d9a

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Akademický článek

Internet of things based smart framework for the safe driving experience of two wheelers

Autor: Gunjan Chhabra, Keshav Kaushik, Pardeep Singh, Gourav Bathla, Ahmad Almogren, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)

Abstract Several parameters affect our brain's neuronal system and can be identified by analyzing electroencephalogram (EEG) signals. One of the parameters is alcoholism, which affects the pattern of our EEG signals. By analyzing these EEG signals, o

Externí odkaz: https://doaj.org/article/c548369051db4d808eea14db360362ec

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Akademický článek

Combination of group method of data handling neural network with multi-objective gray wolf optimizer to predict the viscosity of MWCNT-TiO2 -oil SAE50 nanofluid

Autor: Hongfei Zhou, Ali B.M. Ali, Hussein Zekri, Hanaa Kadhim Abdulaali, Pardeep Singh Bains, Rohit Sharma, Dilsora Abduvalieva, Mohammadreza Baghoolizadeh, Soheil Salahshour, Mohammad Hashemian

Publikováno v: Case Studies in Thermal Engineering, Vol 64, Iss , Pp 105541- (2024)

Background: Nanofluids are the most widely used materials in various engineering fields. They have different properties under different conditions, and predicting their properties requires several experiments. Artificial intelligence can predict the

Externí odkaz: https://doaj.org/article/ef43e62215564d61883f87d06793f54a

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Akademický článek

Investigation of the arrangement of aluminum fins on the thermal behavior of lauric acid as a phase change material in a two-pipe heat exchanger by CFD simulation

Autor: Weidong Liu, Majid Mokhtari, Muntadher Abed Hussein, Anjan Kumar, Talib M. Albayati, Pardeep Singh Bains, Hadeel Kareem Abdul-Redha, Soheil Salahshour, M. Hekmatifar

Publikováno v: Case Studies in Thermal Engineering, Vol 64, Iss , Pp 105469- (2024)

Background: Phase change material (PCM) thermal storage systems store more thermal energy per unit volume than sensible heat storage systems. PCMs offer a potential solution to reduce energy consumption in various thermal engineering applications. Th

Externí odkaz: https://doaj.org/article/f1c8e2b50d5f4b39b93d02a1cc50437e

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Akademický článek

Advanced machine learning computations for estimation of hydrogen solubility in oil samples: Model comparisons and validation

Autor: Deping Li, Anupam Yadav, Eyhab Ali, Mustafa Fahem Albaghdadi, Pardeep Singh Bains, Youssef Ali Naeem, Fadwa Fathallah Ahmed, Mohammad Mahtab Alam, Khaldoon T. Falih, Hussam Abdali Abdulridui, Eftikhaar Hasan Kadhum, Alaa A. Omran, Ahmed Elawady

Publikováno v: Case Studies in Thermal Engineering, Vol 60, Iss , Pp 104684- (2024)

For analyzing hydrogenation process for treatment of petroleum-based fuels, solubility of hydrogen in the feed should be well correlated. The main correlation factors are temperature and pressure which have a great effect on hydrogen solubility. This

Externí odkaz: https://doaj.org/article/1273667ce62344b1ac9fef8b67cbc346

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