Heart disease, lung disease, respiratory disease, etc. are currently the top killers. The majority of liver problems are difficult to detect early on. One of these is fatty liver disease, a common disorder brought on ...
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The challenge of class imbalance in datasets is a prevalent issue in machine learning, often resulting in biased and inaccurate predictions. This study investigates the effectiveness of different data balancing techni...
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Security of food is necessary as a nation should have no scarcity of food and its people should be able to obtain, access, and consume an adequate amount of food. Ensuring and maintaining high-quality, safe products i...
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The integration of social networks with the Internet of Things (IoT) has been explored in recent research, giving rise to the Social Internet of Things (SIoT). One promising application of SIoT is viral marketing, whi...
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Recently, polynomial graph filter learning (PGFL) has demonstrated promising performance for modeling graph signals in Graph Neural Networks (GNNs) on both homophilic and heterophilic graphs, owning to their flexibili...
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Volunteer computing networks are made up of a large number of computing devices owned by volunteers who want to donate their computing resources to help with large-scale scientific projects. The performance of these d...
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Face recognition systems' use, credibility, and implementation are rapidly increasing due to their efficient and non-intrusive advantages over other biometric systems, such as speech recognition and identification...
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Gastrointestinal diseases are increasing at a fast rate. Some of these lead to colorectal cancer. The presence of polyps in the large intestine may lead to colorectal cancer in later stages. Early detection and predic...
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To help train DNN models more efficiently, researchers have developed a series of new computation devices and parallel training strategies. Choosing which device and strategy to use among those vast candidates is chal...
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Plants encounter a variety of beneficial and harmful insects during their growth *** identification(i.e.,detecting insects'presence)and classification(i.e.,determining the type or class)of these insect species is ...
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Plants encounter a variety of beneficial and harmful insects during their growth *** identification(i.e.,detecting insects'presence)and classification(i.e.,determining the type or class)of these insect species is critical for implementing prompt and suitable mitigation *** timely actions carry substantial economic and environmental *** learning-based approaches have produced models with good insect classification *** aim to implement identification and classification models in agriculture,facing challenges when input images markedly deviate from the training distribution(e.g.,images like vehicles,humans,or a blurred image or insect class that is not yet trained on).
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