Aluminum alloy industrial materials defect by Ying Han (20349093)

“…Finally, the organized defect dataset is detected and classified.</p><h2>Description of the data and file structure</h2><p dir="ltr">This is a project based on the YOLOv8 enhanced algorithm for aluminum defect classification and detection tasks.…”

Expression analysis of lncRNAs between the MCAO and sham groups. by Meimei Xu (744867)

S1 Data - Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism by Yutong Liu (4027994)

Field photo diagnostic imaging by Hirokuni Miyamoto (16318251)

“…</p><p dir="ltr">Data_file_fish_new.xlsx: Whole raw data</p><p dir="ltr">utils.py (causion: same to original command name "utils.py" for "<code>machine_learning.py"</code>in the GitHub website "<a href="https://github.com/hmiyamoto2000/program_tai1_Texture_main/tree/v1.0.6" target="_blank">program_tai1_Texture_main</a><a href="https://github.com/hmiyamoto2000/program_tai1_Texture_main/tree/v2.0.1" target="_blank">(https://github.com/hmiyamoto2000/program_tai1_Texture_main/tree/v2.0.1</a>)": optional command for feature selection based on machine learning algorithms (The new command "utils.py" fix the random seed to control the randomness and reduce uncertainty in the training process to improve reproducibility and stability of the results.)…”

Echo Peak by Rocco De Marco (14146593)

“…It leverages an external peak detection function (<code>do_SimpleDetection0</code>) described in <i>Passive Acoustic Monitoring for Cetaceans</i> by Zimmer et al., making it suitable for integration into established passive acoustic monitoring workflows.…”

Video 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.mp4 by Matthew Yedutenko (5142461)

“…However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …”

Data Sheet 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.pdf by Matthew Yedutenko (5142461)

“…However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …”

Inference of cell-type proportions from bulk RNAseq and dynamics during myocardial infarction in α1A-AR-KO mice. by Brian Gural (21781982)

Performance comparison of DCMC against 19 integration methods across all datasets. by Mengxiang Lin (22784287)

LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery by M RN (9866504)

Table 1_High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion.docx by Zhongqiang Song (21669041)

“…Compared with the model excluding the RK50 module, the mAP50 improved by 2.9%, and its performance in detecting small-target honeydew significantly surpassed mainstream algorithms. …”

DataSheet1_DGDRP: drug-specific gene selection for drug response prediction via re-ranking through propagating and learning biological network.PDF by Minwoo Pak (6842618)

“…The source code for DGDRP can be found at: https://github.com/minwoopak/heteronet.…”

LitiumLIC BscScan Verified Source (2025-11-13) by Investlitiumlic Oy (22614180)

<b>AutoMated tool for Antimicrobial resistance Surveillance System version 3.1 (AMASS3.1)</b> by Chalida Rangsiwutisak (10501496)

A Tutorial on the Use of Artificial Intelligence Tools for Facial Emotion Recognition in R by Austin Wyman (17559054)

“…Furthermore, we provide an introductory level explanation of the machine learning, deep learning, and computer vision algorithms that underlie most emotion detection programs in order to improve literacy of explainable artificial intelligence in the social and behavioral science literature.…”

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

“…We evaluate our method on a simple sequence detection task, as well as the Yin-Yang, Spiking Heidelberg Digits, Spiking Speech Commands and Braille letter reading datasets, demonstrating that our algorithm can optimise delays from suboptimal initial conditions and enhance classification accuracy compared to architectures without delays. …”

Landscapes of payoff differences (<i>P</i>_<i>diff</i>) and Nash equilibrium speed changes (_<i>i</i>) with the sensory–motor algorithm in the absence of the be... by Hiroyuki Ichijo (13891153)

Catalogue of compact radio sources in Messier-82 from e-MERLIN observations by Sibongumusa Shungube (21197363)

“…Source finding was initially performed using Python Blob Detection and Source Finder (PyBDSF).</p><p dir="ltr">The dataset includes two tables detailing the properties of these 36 sources:</p><p dir="ltr"><b>Table 3.1: CASA </b><code><strong>imfit</strong></code><b> Source Catalogue</b></p><p dir="ltr">This table contains source parameters derived using the CASA task <code>imfit</code>. …”

Data Sheet 1_Selection of suitable reference lncRNAs for gene expression analysis in Osmanthus fragrans under abiotic stresses, hormone treatments, and metal ion treatments.docx by Yingting Zhang (4238380)

“…Despite its importance, research on long non-coding RNAs (lncRNAs) in O. fragrans has been constrained by the absence of reliable reference genes (RGs).…”

COVID-CT-Rate.zip by Nastaran Enshaei (11943785)