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Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o...
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Tapan Chatterjee, Usha Rani Gogoi, Animesh Samanta, Ayan Chatterjee, Mritunjay Kumar Singh and Srinivas Pasupuleti
Groundwater quality is one of the major concerns. Quality of the groundwater directly impacts human health, growth of plants and vegetables. Due to the severe impacts of inadequate water quality, it is imperative to find a swift and economical solution. ...
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Davide Fronzi, Gagan Narang, Alessandro Galdelli, Alessandro Pepi, Adriano Mancini and Alberto Tazioli
Forecasting of water availability has become of increasing interest in recent decades, especially due to growing human pressure and climate change, affecting groundwater resources towards a perceivable depletion. Numerous research papers developed at var...
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Mohamed Gad, Aissam Gaagai, Mohamed Hamdy Eid, Péter Szucs, Hend Hussein, Osama Elsherbiny, Salah Elsayed, Moataz M. Khalifa, Farahat S. Moghanm, Moustapha E. Moustapha, Dina A. Tolan and Hekmat Ibrahim
The assessment and prediction of water quality are important aspects of water resource management. Therefore, the groundwater (GW) quality of the Nubian Sandstone Aquifer (NSSA) in El Kharga Oasis was evaluated using indexing approaches, such as the drin...
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Andrea Maternová, Matú? Materna, Andrej Dávid, Adam Török and Lucia ?vábová
The main objective of this paper is to underscore the significance of human error as a dominant cause of maritime accidents. The research is based on a comprehensive analysis of 247 maritime accidents, with the aim being to identify human failures occurr...
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