过去一年中添加的文章,按日期排序
[HTML][HTML] Improved sports image classification using deep neural network and novel tuna swarm optimization
Z Zhou, H Zhang, M Effatparvar - Scientific Reports, 2024 - nature.com
1 天前 - … of precise and robust techniques to differentiate between … layers, neurons, and
activation functions. Through the application … demand for precise techniques in classifying sports …
activation functions. Through the application … demand for precise techniques in classifying sports …
Interpreting Bias in Large Language Models: A Feature-Based Approach
N Prakash, LKW Roy - arXiv preprint arXiv:2406.12347, 2024 - arxiv.org
1 天前 - … Drawing inspiration from causal mediation analysis, we hypothesize the evolution
of bias-related features and validate them using interpretability techniques like activation and …
of bias-related features and validate them using interpretability techniques like activation and …
The surface chemistry of the atomic layer deposition of metal thin films
F Zaera - Nanotechnology, 2024 - iopscience.iop.org
2 天前 - … We start by introducing some of the main surface-sensitive techniques and approaches
… that usually ensued upon their thermal activation. We discuss the criteria relevant for the …
… that usually ensued upon their thermal activation. We discuss the criteria relevant for the …
Pioneer Transcription Factors: The First Domino in Zygotic Genome Activation
B Fu, H Ma, D Liu - Biomolecules, 2024 - mdpi.com
2 天前 - … Zygotic genome activation (ZGA) is a pivotal event in … as hubs for transcriptional
activation, these pioneer transcription … and optimizing in vitro production (IVP) techniques. …
activation, these pioneer transcription … and optimizing in vitro production (IVP) techniques. …
Проведение анализа эффективности магнитной активации дизельного топлива двигателей внутреннего сгорания
АП Карлюк, ВН Еднач - 2024 - e.biblio.bru.by
2 天前 - … techniques to improve the performance of diesel fuel. The main purpose of the study
was to determine the optimal parameters of magnetic activation … of magnetic activation and …
was to determine the optimal parameters of magnetic activation … of magnetic activation and …
Improving Deep Learning Classifiers for Plant Phenotyping using XAI Techniques
S Mostafa - 2024 - harvest.usask.ca
2 天前 - … that use XAI techniques for the … as the activation pattern of the neurons to improve
the accuracy of deep learning classifiers. In the first approach, I embed the neurons' activation …
the accuracy of deep learning classifiers. In the first approach, I embed the neurons' activation …
GeneWorker: An end-to-end robotic reinforcement learning approach with collaborative generator and worker networks
H Wang, H Man, W Cui, R Lu, C Cai, X Fan - Neural Networks, 2024 - Elsevier
2 天前 - … burgeoning techniques such as meta-learning and large language models. To
address this issue, we introduce a unique neural skill representation that abstracts the activation …
address this issue, we introduce a unique neural skill representation that abstracts the activation …
[HTML][HTML] Bimanual coordination and spinal cord neuromodulation: how neural substrates of bimanual movements are altered by transcutaneous spinal cord stimulation
B Parhizi, TS Barss, AM Dineros… - Journal of …, 2024 - jneuroengrehab.biomedcentral.com
2 天前 - … Understanding how neuromodulatory techniques may … This computational study
suggests preferential activation of … speculate that preferential activation of proprioceptive fibers …
suggests preferential activation of … speculate that preferential activation of proprioceptive fibers …
[PDF][PDF] Exploiting the Underlying Relationships Between Apparent Kinetic Parameters and Surface Coverages
F Vega-Ramon, C Hardacre, D Zhang - iscre28.org
3 天前 - … Microkinetic modelling techniques have been extensively … parameters (reaction
orders and activation energies) which are … reaction orders and activation energies are linear …
orders and activation energies) which are … reaction orders and activation energies are linear …
Deep Learning based Diagnosis of PTSD using 3D-CNN and resting-state fMRI data
MN Shahzad, H Ali - Psychiatry Research: Neuroimaging, 2024 - Elsevier
3 天前 - … to identify the activation pattern in the … techniques and shift to any other better
choice. Therefore, we made a transition from ML techniques to Deep Learning (DL) techniques …
choice. Therefore, we made a transition from ML techniques to Deep Learning (DL) techniques …
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