Abstract: Pansharpening in the presence of thin clouds is a practical yet under-explored problem, as it requires both recovery of spatial details and correction of cloud-induced spectral distortions.
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=10723154 ...
Abstract: This letter reports the design and measurement of a high-efficiency broadband gallium nitride (GaN) Doherty power amplifier (DPA) monolithic microwave-integrated circuit (MMIC) fabricated ...
Abstract: Estimating cognitive states from oculomotor data is challenging due to context-dependency and metric ambiguity. This paper proposes a conceptual dynamic numerical framework that integrates ...
Abstract: The objective of this project was to create an accessible hardware-software system for measuring and recording grip strength in children. Two graphical user interfaces and two specific ...
Abstract: We identify topological imbalance in semi-supervised node classification, where varying neighborhood structures of labeled nodes cause biased learning. Directionality exacerbates this ...
Abstract: Deep learning techniques have shown significant promise for automatic depression detection from electroencephalography (EEG) data. However, existing approaches suffer from a fundamental ...
Abstract: Achieving precise and controllable emotional expression is crucial for producing natural and context-appropriate speech in text-to-speech (TTS) synthesis. However, many emotion-aware TTS ...
Abstract: To meet the increasing demand for high power density, direct-cooling architectures that bond power modules directly to heat sinks have gained significant attention in modern electrified ...
Automatic chord recognition (ACR) via deep learning models has gradually achieved promising recognition accuracy, yet two key challenges remain. First, prior work has primarily focused on audio-domain ...
Abstract: This article proposes an ac-side active power decoupling (APD) method for single-phase single-stage high frequency-link inverters (HFLIs) with differential outputs. The proposed APD method ...
Abstract: Direct position determination (DPD) is one powerful technique for emitter localization especially under low signal-to-noise ratio conditions, but its practical use is hindered by the ...
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