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Nuaman Ejaz, Aftab Haider Khan, Muhammad Shahid, Kifayat Zaman, Khaled S. Balkhair, Khalid Mohammed Alghamdi, Khalil Ur Rahman and Songhao Shang
Satellite precipitation products (SPPs) are undeniably subject to uncertainty due to retrieval algorithms and sampling issues. Many research efforts have concentrated on merging SPPs to create high-quality merged precipitation datasets (MPDs) in order to...
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Suveshnee Munien, Puspa L. Adhikari, Kimberly Reycraft, Traci J. Mays, Trishan Naidoo, MacKenzie Pruitt, Jacqueline Arena and Sershen
This systematic review represents one of the first attempts to compare the efficacy of the full suite of management interventions developed to control (prevent or remove) microplastics (MPs) in freshwater bodies, both man-made and natural. The review als...
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Eleonora Ortu, Sara Di Nicolantonio, Samuele Cova, Davide Pietropaoli, Lucia De Simone and Annalisa Monaco
Background: The main objective of this study was to compare the clinical efficacy of two different devices, the Eptamed elastodontic device and a common bite sold in pharmacies, by assessing a computer aid evaluation of patients? surface electromyography...
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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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Yinghui Wang, Wenjun Wang, Minglai Shao and Yueheng Sun
Network alignment (NA) offers a comprehensive way to build associations between different networks by identifying shared nodes. While the majority of current NA methods rely on the topological consistency assumption, which posits that shared nodes across...
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