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. Mariyam, B. F. Y. Serli, N. Adliani
Pág. 35 - 39
Novel (E)-N-(3,4-dimethoxybenzylidene)naphthalen-1-amine (DBNA) ligand has been synthesized by refluxing 1-naphthylamine and 3,4-dimethoxybenzaldehyde in methanolic solution for 5-6 hours. The obtained compound was characterized by UV-Vis, FT-IR and 1H-N...
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Mustafa Güven Kaysim, Ahmet Metin Kumlay, Kamil Haliloglu, Aras Türkoglu, Magdalena Piekutowska, Hayrunnisa Nadaroglu, Azize Alayli and Gniewko Niedbala
We explored the impact of strontium oxide nanoparticles (SrO-NPs), synthesized through a green method, on seedling growth of bread wheat in hydroponic systems. The wheat plants were exposed to SrO-NPs concentrations ranging from 0.5 mM to 8.0 mM. Various...
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Andrew Chamberlin, Andrew Gerber, Mason Palmer, Tim Goodale, Noel Daniel Gundi, Koushik Chakraborty and Sanghamitra Roy
Artificial Intelligence (AI) hardware accelerators have seen tremendous developments in recent years due to the rapid growth of AI in multiple fields. Many such accelerators comprise a Systolic Multiply?Accumulate Array (SMA) as its computational brain. ...
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Zongyou Xia, Gonghao Duan and Ting Xu
Since 2020, COVID-19 has repeatedly arisen around the world, which has had a significant impact on the global economy and culture. The prediction of the COVID-19 epidemic will help to deal with the current epidemic and similar risks that may arise in the...
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Jonathan Vance, Khaled Rasheed, Ali Missaoui and Frederick W. Maier
Alfalfa is critical to global food security, and its data is abundant in the U.S. nationally, but often scarce locally, limiting the potential performance of machine learning (ML) models in predicting alfalfa biomass yields. Training ML models on local-o...
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Rokaya Eltehewy, Ahmed Abouelfarag and Sherine Nagy Saleh
Rapid damage identification and classification in disastrous situations and natural disasters are crucial for efficiently directing aid and resources. With the development of deep learning techniques and the availability of imagery content on social medi...
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Timothy Tadj, Reza Arablouei and Volkan Dedeoglu
Data trust in IoT is crucial for safeguarding privacy, security, reliable decision-making, user acceptance, and complying with regulations. Various approaches based on supervised or unsupervised machine learning (ML) have recently been proposed for evalu...
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Giulia Bossi, Luca Schenato and Gianluca Marcato
Web-based platforms (WBPs) are online spaces where the user can interrogate and analyze data series gathered in quasi-real time from monitoring network/s. These online tools are increasingly used by government agencies, local authorities, contractors, an...
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Craig Mahoney, Joshua Montgomery, Stephanie Connor and Danielle Cobbaert
Boreal wetlands within the oil sands region of Alberta, Canada, are subject to natural and anthropogenic pressures, resulting in the need for monitoring these sensitive ecosystems to ensure their protection. This study presents results from Canada?s pilo...
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Michael John Rudolph and Evans Muchesa
This paper presents a case study of two sites in South Africa: the Phumulani Agri-Village in Mpumalanga, and a school program in the Eastern Cape. The study evaluates the effectiveness of water and sanitation programs in these rural settings. A transdisc...
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