Effect of initial infection seed on disease spread. by Philip Cherian (11172138)

RT-Sort parameters. by Tjitse van der Molen (20391106)

“…<div><p>With the use of high-density multi-electrode recording devices, electrophysiological signals resulting from action potentials of individual neurons can now be reliably detected on multiple adjacent recording electrodes. …”

<b>Spatial modeling of gully density on the Qinghai-Tibet Plateau: Application of hyperparameter optimization in interpretable machine learning</b> by Zhoujiang Liu (22741966)

“…In this study, a gully density length survey was carried out in a random area of 14187 qudarats (1*1 km2) of the Qinghai-Tibet Plateau to construct a basic gully density lengthdataset. …”

Ultralong-Range Sensing of Non-Contact Triboelectric Nanogenerator via Synergistic Design of Porous Microspheres and High Dielectric Properties by Shenzhuo Zhang (20960274)

“…In addition, with deep learning algorithms optimizing recognition, the system can accurately distinguish multiple human dynamic behaviors, such as walking, running, and jumping, within the aforementioned distances. …”

Ultralong-Range Sensing of Non-Contact Triboelectric Nanogenerator via Synergistic Design of Porous Microspheres and High Dielectric Properties by Shenzhuo Zhang (20960274)

“…In addition, with deep learning algorithms optimizing recognition, the system can accurately distinguish multiple human dynamic behaviors, such as walking, running, and jumping, within the aforementioned distances. …”

Presentation 1_Multiple-point geostatistical modeling for fault-controlled tight sandstone reservoirs based on probability fusion of permanence of ratios: a tight sandstone oil res... by Haowei Zhang (652711)

“…Finally, the multiple-point geostatistical direct sampling (DS) algorithm generates a three-dimensional (3-D) geological model that captures the reservoir’s geological features, while satisfying the multi-source information constraints. …”

Machine Learning Models by Yuhan Zheng (21610220)

“…</p><p dir="ltr">The pretrained models were used to evaluate the performance of multiple machine learning algorithms (including Random Forest, Decision Tree, and Support Vector Machine) on predicting soil organic carbon (SOC) density. …”

Landscape17 by Vlad Carare (22092515)

“…</p><p dir="ltr">We utilized TopSearch, an open-source Python package, to perform landscape exploration, at an estimated cost of 10⁵CPUh. …”

Table 1_Early detection of retinal and choroidal microvascular impairments in diabetic patients with myopia.docx by Yufei Wu (3625967)

“…A ResNet-50 convolutional neural network was further applied to analyze vascular density patterns and assist in DR grading. Univariate and multiple linear regression analyses explored the associations between perfusion and risk factors.…”

Table 1_Phosphate transporter gene families in rye (Secale cereale L.) – genome-wide identification, characterization and sequence diversity assessment via DArTreseq.xlsx by David Chan-Rodriguez (4865152)

“…SNP density varied markedly between ScPht genes. This report is the first step toward elucidating the mechanisms of rye’s response to Pi deficiency. …”

Data Sheet 1_Phosphate transporter gene families in rye (Secale cereale L.) – genome-wide identification, characterization and sequence diversity assessment via DArTreseq.docx by David Chan-Rodriguez (4865152)

“…SNP density varied markedly between ScPht genes. This report is the first step toward elucidating the mechanisms of rye’s response to Pi deficiency. …”

Supplementary file 1_Almond yield prediction at orchard scale using satellite-derived biophysical traits and crop evapotranspiration combined with machine learning.pdf by Manuel Quintanilla-Albornoz (22653386)

“…<p>Accurate almond yield prediction is essential for supporting decision-making across multiple scales, from individual growers to international markets. …”

<b>Leveraging protected areas for dual goals of biodiversity conservation and zoonotic</b> <b>risk reduction</b> by Li Yang (13558573)

“…Comparison of priority areas identified under different prioritization settings and algorithms at source resolutions of 1 km and 10 km, assessed using Jaccard similarity.…”

SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM) by Xiang Cheng (20496924)

“…The SynthSoM dataset is open-sourced and provides consistent data for cross-comparing SoM-related algorithms.…”