Storage tank detection in remote sensing images based on circular bounding boxes and large selective kernel. [PDF]
Liu Y, Wan Y, Huang W, Zhan Z.
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Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
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An efficient YOLOv12-based framework for detecting extremely small-scale objects. [PDF]
Chandrashekhar A +4 more
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PepFoundry: A Pipeline for Building Machine-Learning Ready Representations of Nonstandard Peptides Containing Cycles, Non-natural Residues, Polymer Units, and More. [PDF]
Garzon Otero D +3 more
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Deep learning-based high dynamic range 3D reconstruction. [PDF]
Wang Y.
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Packed Fruits and Vegetables Visual Classification and Segmentation Benchmark. [PDF]
Illarionova S +4 more
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Dense extreme inception network-based edge detection with deep reinforcement learning for object localization in an underwater environment. [PDF]
Praveena S +6 more
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Artificial Neural Network-Based Conveying Object Measurement Automation System Using Distance Sensor. [PDF]
Heo HB, Park SH.
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From Learning Objects to Language Learning Objects
International Journal of Computer-Assisted Language Learning and Teaching, 2013Learning Objects (LOs) have increasingly become of interest to users and researchers of Information and Communication Technologies (Wiley, 2002; Gibson, 2002; Leffa, 2006). There are several definitions, an ample discussion and criticism in relation to what can be considered a LO.
Rafael Vetromille-Castro +3 more
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