Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Abstract: We introduce LCMatch, a novel semi-supervised scene classification framework designed to enhance the performance of remote sensing image classification. Our method improves upon the existing ...
Abstract: Focusing on the semantic gap problem of “large intraclass differences and small interclass differences” caused by the complex background and scale variations of interest targets in remote ...
An extensive analysis of the gut microbiome in Ethiopian children identifies microbial metabolic pathways that can be attributed to a Western diet, and that the consumption of foods like traditional ...
In order for the Council to be able to work in all areas which require the use of EU classified information (EUCI), it needs to have a comprehensive security system to protect this information. The ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
My research interests revolve around cutting-edge technologies and their applications to address real-world challenges. I have made significant contributions in the following areas: Data Science: I ...
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