As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
The popular short form video app has a new corporate structure in the United States, which could result in some changes for the 200 million Americans who use TikTok. By Emmett Lindner TikTok has new ...
This repository contains code and models for vision transformers that generate representations which not only do well for standard recognition tasks (classification, segmentation), but also support ...
Depression is a clinically heterogeneous disorder comprising subtypes such as melancholic, atypical, anxious, and unspecified, each characterized by distinct symptom profiles and treatment responses.
These feature representations are mapped into DL-based classification frameworks, where our proposed model is systematically benchmarked against ResNet18, EfficientNet, VGG19, DenseNet, and MobileNet ...
Abstract: In order to solve the problem of insufficient capability of existing models in processing complex multi-scale scenes or data sets containing time dimensions, this paper proposes a new ...
Recently the state space models (SSMs) with efficient hardware-aware designs, i.e., the Mamba deep learning model, have shown great potential for long sequence modeling. Meanwhile building efficient ...
I’ll never forget that day. After glancing at the grade on the last page, a student casually tossed his biology test into the recycling bin as he headed to his next class. I was shocked. Wasn’t he ...
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