Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...
Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
Recently, Assoc. Prof. Bo Peng (Northwestern Polytechnical University) and Prof. Lin Li (Xiamen University), et ...
Abstract: Due to its ability to remain hidden in a system for an extended period while gathering sensitive information, Advanced Persistent Threat (APT) is one of the most dangerous types of ...
Abstract: As a typical blue carbon ecosystem, mangroves play a vital role in the global carbon cycle and coastal ecological security. Accurately estimating their aboveground biomass (AGB) is crucial ...
Abstract: Deep learning (DL) in remote sensing has nowadays become an effective operative tool: it is largely used in applications, such as change detection, image restoration, segmentation, detection ...
Abstract: High-resolution leaf area index (LAI) retrieval is crucial for ecological and agricultural applications, yet it remains challenging due to the enhanced spatial heterogeneity and limited ...
Abstract: Facial expression recognition (FER) is the key to understanding human emotions and feelings. It is an active area of research since human thoughts can be collected, processed, and used in ...
Abstract: Recommendation systems are critical for web-based film administrations like Netflix in assisting clients in discovering new films to enjoy. The proposed work uses AI (Artificial Intelligence ...
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