Abstract: Traditional spiking learning algorithm aims to train neurons to spike at a specific time or on a particular frequency, which requires precise time and frequency labels in the training ...
Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...
This is the GitHub repo accompany the paper by Xie He, Amir Ghasemian, Eun Lee, Aaron Clauset, Peter Mucha. The paper is published at Nature Communications 15, Article number: 1364 (2024) Please cite ...
Introduction The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy—most notably ...
This important study explores how cells maintain subcellular structures in the face of constant protein turnover, focusing on neurons, whose synapses must be kept stable over long periods of time for ...
Image recognition has made significant progress in recent years, majorly in the development of powerful algorithms that can analyze and interpret visual data with unparalleled accuracy. In this ...
Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania ...
Driven frustrated materials evolve via sequences of transitions between metastable states, associated with the flipping of one or more material bits called hysterons. Interactions between hysterons ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results