Abstract: Accurate terrain classification is critical for autonomous rover navigation during planetary exploration missions. This study presents a hybrid deep learning framework that combines ...
Abstract: One of the most critical neurological conditions is Brain tumors, timely and correct diagnosis is needed for effective treatment. Advances in neuroimaging technology such as MRI, limitations ...
Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI, facilitating precise identification and differentiation of various land cover types. In recent years, graph neural ...
Abstract: Deep reinforcement learning (DRL) is a powerful method for local motion planning in automated driving. However, training of DRL agents is difficult and subject to instability. We propose ...
Abstract: This paper explores the use of artificial intelligence technology to restore and recognize blurred text on cultural relics. Traditional OCR technology has limitations in dealing with ...
Abstract: Robust prediction of drug-target binding affinity (DTA) is essential for accelerating drug discovery pipelines, as it reduces experimental failures in cold-start scenarios where novel ...
Abstract: The removal of rain streaks and raindrops is crucial for enhancing the image visibility and mitigating the weather degradations. However, most existing approaches rely on the paired rainy ...
Abstract: Driver distraction is a leading contributor to road accidents, highlighting the need for intelligent systems that enable early detection and prevention. This paper presents a model designed ...
Photoshop cc 2015 tutorial showing how to create simple, but powerful 3-D text with deep, dramatic shadows. If your 3-D &/or lighting effects aren't available or they're grayed out, it may be due to ...
In the exchange on Sunday, Norway’s leader sought to “de-escalate” the growing conflict over Greenland and Mr. Trump’s latest tariff threat. By Jeffrey Gettleman In a text message over the weekend, ...
Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
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