Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

Accuracy of different electrical and optical neural networks for various input noise levels. حسب Reyhane Ahmadi (14857363)

الموضوعات:

The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. حسب Burak Alakent (463512)

Processing results and code. حسب Lei Wang (6656)

Flowchart of DQN algorithm. حسب Jiandong Qiu (20389944)

Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets. حسب Reyhane Ahmadi (14857363)

الموضوعات:

Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

Elements: A Sustainable, Resource-Efficient Cyberinfrastructure for Notebook Interactive ML Training Workloads حسب Yue Cheng (22087328)

CY45-0.5/1#9 Code file for data processing and prediction results. حسب Yanhua Xian (21417128)

<b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b> حسب Lihao Feng (20837036)

GA pseudo-code. حسب Jianpeng Zhang (528185)

Comparison of grayscale conversion algorithms. حسب Tianke Fang (22648035)

Comparison of noise reduction algorithms. حسب Tianke Fang (22648035)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …"

Code and data for the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms" حسب Noelle Madyson Daigle (22120114)

"…<p dir="ltr">Code and data for analysis detailed in the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms." …"

Performance of algorithms outside the training species. حسب Sven B. Gould (12237287)

Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set for the DeepCell dataset... حسب Owen M. O’Connor (11965460)

The source code of LazyAct. حسب Hongjie Zhang (136127)

"…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. Code is available here <a href="https://www.dropbox.com/scl/fo/wyoqo6q9gyt86zobfgbvx/h?…"

a. How various statistical models account for modulation classification performance across the entire dataset. حسب Chris Scholes (3309477)

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). حسب Xiaojun Wang (50332)