Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Abstract: In recent years, Bluetooth Low Energy (BLE) positioning technology has garnered significant attention from researchers in the field of indoor localization. This study leverages IQ signal ...
Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
CNN 10 is a daily news show for students over 13 and other viewers who want to learn about current events and global issues ...
Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...
Abstract: Multi-UAV autonomous navigation serves as a fundamental basis for a wide array of applications across various fields. However, achieving cooperative navigation in complex and unknown ...
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The journalist is a machine: Lior Alexander and the end of the newsroom
Lior Alexander is the CEO of AlphaSignal. The platform has over a quarter of a million subscribers and generates 200 million ...
Abstract: This study proposes a hybrid framework for optimizing last-mile delivery routes that combines Genetic Algorithm (GA), Integer Programming (IP), and machine learning (ML)-based clustering and ...
Abstract: This study presents a hybrid framework for detecting black leaf spot disease in oil palm seedlings caused by Curvularia infection by combining deep learning with classical machine learning ...
Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
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