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)

A framework for improving localisation prediction algorithms. حسب Sven B. Gould (12237287)

Pseudo-code for the study design model. حسب Jianpeng Zhang (528185)

Operational mechanism diagram of deep reinforcement learning retrieval optimization module, based on the user interaction retrieval strategy optimization process, encodes the user query vector, historical interaction record and knowledge graph subgraph representation into state space, designs reward function, and trains the policy network through the proximal policy optimization algorithm (PPO) to optimize the retrieval strategy. حسب Yali Chen (24494)

"…<p>Operational mechanism diagram of deep reinforcement learning retrieval optimization module, based on the user interaction retrieval strategy optimization process, encodes the user query vector, historical interaction record and knowledge graph subgraph representation into state space, designs reward function, and trains the policy network through the proximal policy optimization algorithm (PPO) to optimize the retrieval strategy.…"

Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC). حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information. حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

Code used for data analysis in this study. حسب Nourin Sultana (22339463)

USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I حسب Vladimir Kulyukin (21983990)

Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance حسب Edgar Vega (21981590)

Code حسب Baoqiang Chen (21099509)

Heavy-load transfer steel platform. حسب Meijun Shang (22806461)

"…A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …"

Traditional scaffolding reinforcement system. حسب Meijun Shang (22806461)

"…A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …"

Iteration curve of the optimization process. حسب Meijun Shang (22806461)

"…A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …"