Abstract: Currently, many super-resolution (SR) methods based on CNNs and Transformers have become increasingly complex, which imposes significant limitations on their application in mobile platforms.
Abstract: Accurate rainfall prediction is crucial for agriculture, water resource management, and disaster preparedness. This study explores the application of machine learning techniques, including ...
Abstract: Selective laser melting (SLM) technology, based on additive manufacturing, has been widely used in ceramic printing. Whether or not the SLM ceramic printing instrument is processed normally ...
Abstract: Change detection (CD) is a hot research topic in the field of remote sensing (RS), and using convolutional neural networks (CNNs) and Transformers for CD tasks is the mainstream option ...
Trump tells CNN that 'everybody's very happy with' Greenland framework deal ...
Abstract: The city of Palembang is facing a significant increase in traffic density, causing various problems such as congestion. Research was conducted to overcome this problem by using various ...
Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
Add Yahoo as a preferred source to see more of our stories on Google. Members of law enforcement work the scene following a suspected shooting by an ICE agent during federal law enforcement operations ...
Abstract: Accurate mapping of cropland field parcels (CFPs) is essential for efficient agricultural production and management. However, CFPs in high-resolution remote sensing imagery exhibit ...
Abstract: Direction-of-arrival (DoA) estimation is a fundamental technique in radar sensing, navigation, and wireless communications. This paper presents a high-precision deep regression framework for ...
Abstract: This paper addresses the issue of degraded accuracy in traditional communication signal recognition under low Signal-to-Noise Ratio (SNR) environments by proposing a Convolutional Neural ...
Abstract: Although small drones provide significant convenience through various applications, their widespread use poses a major threat to public safety, particularly when operated without ...
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