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Haiguang Wang
Crop fungal diseases are a major threat to crop health and food security worldwide. The epidemiology is the basis for effective and sustainable control of crop fungal diseases. Safe, effective, sustainable, and eco-friendly disease control measures have ...
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Adham H. El-Sherbini, Hafeez Ul Hassan Virk, Zhen Wang, Benjamin S. Glicksberg and Chayakrit Krittanawong
Primary care has the potential to be transformed by artificial intelligence (AI) and, in particular, machine learning (ML). This review summarizes the potential of ML and its subsets in influencing two domains of primary care: pre-operative care and scre...
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Yan-Li Ma, Wen-Wu Lin, Si-Si Guo, Lian-Hui Xie, Dun-Chun He and Zhao-Bang Cheng
Paddy is an artificial ecosystem driven by human activities, such as adjustment of cropping systems, deployment of resistant varieties and pesticides use. Inappropriate human intervention aggravated the disruption of ecosystems, which resulted in rice vi...
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Nellyzeth Flores, Marco A. Reyna, Roberto L. Avitia, Jose Antonio Cardenas-Haro and Conrado Garcia-Gonzalez
Cardiovascular disease (CVD) is a global public health problem. It is a disease of multifactorial origin, and with this characteristic, having an accurate diagnosis of its incidence is a problem that health personnel face every day. That is why having al...
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Thabang Mathonsi and Terence L. van Zyl
Hybrid methods have been shown to outperform pure statistical and pure deep learning methods at forecasting tasks and quantifying the associated uncertainty with those forecasts (prediction intervals). One example is Exponential Smoothing Recurrent Neura...
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Gianni Fenu and Francesca Maridina Malloci
Every year, plant diseases cause a significant loss of valuable food crops around the world. The plant and crop disease management practice implemented in order to mitigate damages have changed considerably. Today, through the application of new informat...
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Andrea Gatto, Gabriele Accarino, Valeria Aloisi, Francesco Immorlano, Francesco Donato and Giovanni Aloisio
Compartmental models have long been used in epidemiological studies for predicting disease spread. However, a major issue when using compartmental mathematical models concerns the time-invariant formulation of hyper-parameters that prevent the model from...
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Md. Shahriare Satu, Koushik Chandra Howlader, Mufti Mahmud, M. Shamim Kaiser, Sheikh Mohammad Shariful Islam, Julian M. W. Quinn, Salem A. Alyami and Mohammad Ali Moni
The first case in Bangladesh of the novel coronavirus disease (COVID-19) was reported on 8 March 2020, with the number of confirmed cases rapidly rising to over 175,000 by July 2020. In the absence of effective treatment, an essential tool of health poli...
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Syafira Fitri Auliya,Nurcahyani Wulandari
Pág. 31 - 41
Background: The novel coronavirus disease 2019 (COVID-19) has been spreading rapidly across the world and infected millions of people, many of whom died. As part of the response plans, many countries have been attempting to restrict people?s mobility by ...
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Sujit Bebortta, Saneev Kumar Das, Meenakshi Kandpal, Rabindra Kumar Barik and Harishchandra Dubey
Several real-world applications involve the aggregation of physical features corresponding to different geographic and topographic phenomena. This information plays a crucial role in analyzing and predicting several events. The application areas, which o...
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