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Javeria Amin, Muhammad Almas Anjum, Rida Zahra, Muhammad Imran Sharif, Seifedine Kadry and Lukas Sevcik
Pests are always the main source of field damage and severe crop output losses in agriculture. Currently, manually classifying and counting pests is time consuming, and enumeration of population accuracy might be affected by a variety of subjective measu...
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Asif Hussian, Abdul Mateen, Farhan Amin, Muhammad Ali Abid and Saeed Ullah
In the current era of ubiquitous computing and mobile technology, almost all human beings use various self-monitoring applications. Mobile applications could be the best health assistant for safety and adopting a healthy lifestyle. Therefore, persuasive ...
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Zainab Jamroz, Insaf Ullah, Bilal Hassan, Noor Ul Amin, Muhammad Asghar Khan, Pascal Lorenz and Nisreen Innab
The Internet of Medical Things (IoMT) overcomes the flaws in the traditional healthcare system by enabling remote administration, more effective use of resources, and the mobility of medical devices to fulfil the patient?s needs. The IoMT makes it simple...
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Muhammad Amin, Hamad Hussain Shah, Amjad Iqbal, Zia Ur Rahman Farooqi, Marek Krawczuk and Adeel Zia
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Najam us Saqib, Muhammad Akbar, Huali Pan, Guoqiang Ou, Muhammad Mohsin, Assad Ali and Azka Amin
In this study, curved risers stepped spillways models based on the increasing angle of suspension were tested to check for improvement in energy dissipation and pressure distributions. Four fourteen-steps stepped spillway models with a slope 1:0.84 were ...
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Muhammad Fahmi Anuar, Yap Wing Fen, Mohd Hafiz Mohd Zaid, Khamirul Amin Matori and Rahayu Emilia Mohamed Khaidir
The green synthesis of silica has been extensively explored over the last few decades, as silica compounds found in commercial products can cause negative effects on human health. This calls for alternative ways to produce silica that are safer, cheaper ...
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Furqan Farooq, Muhammad Nasir Amin, Kaffayatullah Khan, Muhammad Rehan Sadiq, Muhammad Faisal Javed, Fahid Aslam and Rayed Alyousef
Supervised machine learning and its algorithm is an emerging trend for the prediction of mechanical properties of concrete. This study uses an ensemble random forest (RF) and gene expression programming (GEP) algorithm for the compressive strength predic...
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Mazhar Iqbal, Md Rowshon Kamal, Mohd Amin Mohd Soom, Muhammad Yamin, Mohd Fazly M., Hasfalina Che Man and Hadi Hamaaziz Muhammed
Nitrogen loss from agricultural fields results in contamination of ground and surface water resources due to leaching and runoff, respectively. Nitrogen transport dynamics vary significantly among agricultural fields of different climates, especially in ...
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Muhammad Shahriar Bashar, Yulisa Yusoff, Siti Fazlili Abdullah, Mashudur Rahaman, Puvaneswaran Chelvanathan, Abdul Gafur, Farid Ahmed, Md Akhtaruzzaman and Nowshad Amin
In this paper, Zn1-xMgxS thin films were co-sputtered on glass substrates using ZnS and MgS binary target materials under various applied RF power. The compositional ratio of Zn1-xMgxS films was varied by changing the RF power at an elevated temperature ...
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Muhammad Umair Saleem, Hisham Jahangir Qureshi, Muhammad Nasir Amin, Kaffayatullah Khan and Hassan Khurshid
This study provides the valuable data to assess the failure mechanism of CFRP strengthened reinforced concrete beams and structural systems.
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