Abstract: Numerous studies on depression recognition utilize attention mechanisms as tools for feature extraction. Applying the standard multi-head self-attention mechanism to the spatial domain of ...
Institute of Energy Technologies, IET-3: Theory and Computation of Energy Materials, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany Theory of Electrocatalytic Interfaces, Faculty of Georesources ...
Abstract: Linear-response time-dependent Density Functional Theory (LR-TDDFT) is a widely used method for accurately predicting the excited-state properties of physical systems. Previous works have ...
Wen-Hsing Huang moved to the US for graduate school in 2022 and later landed a job at Amazon. Over time, he realized how little control he had over factors like visas, layoffs, and the economy. He ...
Abstract: Network clustering (graph clustering) plays a crucial role in discovering the inherent structures within networks. MapReduce-based structural clustering algorithm for networks (MRSCANs) ...
Abstract: The use of Unmanned Aerial Vehicles (UAVs) is a recent trend in field based plant phenotyping data collection. However, UAVs often provide low spatial resolution images when flying at high ...
Blighter's C402-SP coastal security radar with antennas and camera. (Blighter Surveillance Systems) UK's Blighter Surveillance Systems is preparing to roll out the automation function of its ...
Scientists use quantum many-body data and machine learning to boost density functional theory accuracy for chemistry and materials science. (Nanowerk News) A new trick for modeling molecules with ...
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