Applications of Deep Learning on Topographic Images to Improve the Diagnosis for Dynamic Systems and Unconstrained Optimization

Alshammari, Gharbi; Hamad, Àbdulsattar Abdullah; Abdullah, Zeyad M.; Alshareef, Abdulrhman M.; Alhebaishi, Nawaf; Alshammari, Abdullah; Belay, Assaye

doi:10.1155/2021/4672688

Cited by 17 publications

(11 citation statements)

References 15 publications

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“…In cognitive maps, these values are −1, 1, which suppose an inverted or direct correlation between the concepts. In comparison, fuzzy cognitive maps take values in the range [−1, 1], where a scale is included between the differences of the concepts [ 13 ].…”

Section: Materials and Methods Or Methodologymentioning

confidence: 99%

Comparative Study of Artificial Intelligence Techniques for the Diagnosis of Chronic Nerve Diseases

Aljaloud

Alshudukhi

Alhamazani

et al. 2022

Computational and Mathematical Methods in Medicine

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Farming is essential to the long-term viability of any economy. It differs in each country, but it is essential for long-term economic success. Only a few of the agricultural industry’s issues include a lack of suitable irrigation systems, weeds, and plant monitoring concerns as a consequence of efficient management in distinct open and closed zones for crop and plant treatment. The objective of this work is to carry out a study on the use of artificial intelligence and computer vision methods for diagnosis of diseases in agro sectors in the context of agribusiness, demonstrating the feasibility of using these techniques as tools to support automation and obtain productivity gains in this sector. During the literary analysis, it was determined that technology could improve efficiency, hence decreasing these types of concerns. Given the consequences of a wrong diagnosis, diagnosis is work that requires a high level of precision. Fuzzy cognitive maps were shown to be the most efficient method of utilizing bibliographically reviewed preferences, which led to the consideration of neural networks as a second option because this technique is the most robust in terms of the qualifying criteria of the data stored in databases.

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Section: Materials and Methods Or Methodologymentioning

confidence: 99%

Comparative Study of Artificial Intelligence Techniques for the Diagnosis of Chronic Nerve Diseases

Aljaloud

Alshudukhi

Alhamazani

et al. 2022

Computational and Mathematical Methods in Medicine

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“…One of the limitations that arose during the project was creating the work environment and the lack of memory of the equipment used and the incompatibility of libraries, but thanks to Google Collaboratory, it was possible to solve it. In addition, it allows us to share the code with other researchers [17][18][19][20][21][22].…”

Section: Web Applicationmentioning

confidence: 99%

The Use of Chest Radiographs and Machine Learning Model for the Rapid Detection of Pneumonitis in Pediatric

Alshamrani

Asiri

et al. 2022

BioMed Research International

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Pneumonia is a common lung disease that is the leading cause of death worldwide. It primarily affects children, accounting for 18% of all deaths in children under the age of five, the elderly, and patients with other diseases. There is a variety of imaging diagnosis techniques available today. While many of them are becoming more accurate, chest radiographs are still the most common method for detecting pulmonary infections due to cost and speed. A convolutional neural network (CNN) model has been developed to classify chest X-rays in JPEG format into normal, bacterial pneumonia, and viral pneumonia. The model was trained using data from an open Kaggle database. The data augmentation technique was used to improve the model’s performance. A web application built with NextJS and hosted on AWS has also been designed. The model that was optimized using the data augmentation technique had slightly better precision than the original model. This model was used to create a web application that can process an image and provide a prediction to the user. A classification model was developed that generates a prediction with 78 percent accuracy. The precision of this calculation could be improved by increasing the epoch, among other subjects. With the help of artificial intelligence, this research study was aimed at demonstrating to the general public that deep-learning models can be created to assist health professionals in the early detection of pneumonia.

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“…Landfilling and burning management of solid wastes in Israel and Slovakia affect environmental health [ 6 ]. In urban centers, about 95% of the collected solid wastes were thrown away at dumping sites and less than 50% were collected [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] The Practices of Solid Waste Utility and Thriving Conditions of Logistics (a Case of Tepi Town): A Study to Treat the Healthy Environment

Amare

Al-Bhadly

Birhan

et al. 2022

Journal of Environmental and Public Health

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Unwanted remains, discarded residues, and byproduct materials that are not required by the initial user are known as wastes. In Ethiopia, improper solid waste management becomes endemic and it affects the health conditions, comforts, and freedom of town communities. Improper solid waste management can also adversely affect infrastructure damages, socioeconomic conditions, and environmental and health problems. So, awareness creation among the communities is necessary. The main objective of the study was to assess the management of existing solid waste activities and reverse logistic systems in Tepi town. The impacts of improper solid waste management were reduced through waste accumulation, transportation, recycling, and waste removal. Available pieces of information for the study were gathered from 450 near house places and 549 survivals. The collected data were analyzed by using Vensim system dynamics software, and the obtained results were modeled by a system dynamic cause and effect relationship diagram. Finally, the appropriate recommendations for communities, municipals, and institutions were provided.

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Applications of Deep Learning on Topographic Images to Improve the Diagnosis for Dynamic Systems and Unconstrained Optimization

Cited by 17 publications

References 15 publications

Comparative Study of Artificial Intelligence Techniques for the Diagnosis of Chronic Nerve Diseases

Comparative Study of Artificial Intelligence Techniques for the Diagnosis of Chronic Nerve Diseases

The Use of Chest Radiographs and Machine Learning Model for the Rapid Detection of Pneumonitis in Pediatric

[Retracted] The Practices of Solid Waste Utility and Thriving Conditions of Logistics (a Case of Tepi Town): A Study to Treat the Healthy Environment

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