Performance assessment of Cell2Spatial in real ST data from various tissue types. by Huamei Li (8815955)

The real GWAS data for the seven common complex diseases. by Liyan Sun (760586)

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Groupwise comparison of formalin- and PBS-injected mice’s DRN activity using ROI algorithm and whole frame averages. by Virgil Christian Garcia Castillo (19688355)

Subjects: “…morphological image processing…”

Overall patient cohort with overlapping data source availability. by Shreya Chappidi (18204121)

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

“…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”

<b>Program Code and Data Integration Scheme</b>.docx by Jinsong XU (21768554)

“…<p dir="ltr">To address inefficiencies and trust deficits in cross-border credit recognition for Sino-Foreign Cooperative Education (SFCE), this study <a href="" target="_blank">designed and implemented a dual-layer blockchain credit bank (BCB) system</a>,A hybrid architecture integrated a public chain (<i>Polygon zkEVM</i>) for transparent credential hashing and a private consortium chain (<i>Hyperledger Fabric</i>) for GDPR-compliant raw data storage.Conduct simulation experiments for the algorithm described in the paper, including the main program code.…”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Technical process of this article. by Shaowei Sun (13392160)

Process flow diagram for the differential analysis of beta-valued DNA methylation data using a novel family of beta mixture models. by Koyel Majumdar (20416871)

(A) PPI network of Co-genes. (B-D) Three blue, green, and red gene clusters were obtained using k-means for Co-genes. (E) Processing PPI data for Co-genes using Cytoscape. (F) Analyzing PPI data for Co-genes using the Degree algorithm.... by Qingcong Zheng (11169094)

“…(B-D) Three blue, green, and red gene clusters were obtained using k-means for Co-genes. (E) Processing PPI data for Co-genes using Cytoscape. (F) Analyzing PPI data for Co-genes using the Degree algorithm. …”

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

Algorithmic flow chart highlighting a possible path of NGM behavior under sequential-presentation. by Spencer Caplan (10188380)

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Algorithmic flow chart highlighting a possible path of NGM behavior under parallel-presentation. by Spencer Caplan (10188380)

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Illustrates the structure of the C2F-SimDLKA module. After processing with CBS, the features are first split into two parts: one part is retained without any processing, and the ot... by Xunqian Xu (21261899)

General model performance for different algorithms. by Binghan Xue (21253235)

Histogram showing propensity scores as calculated from the processed data, coloured by whether there was a diagnosis of epilepsy (blue) or not (red). by Ioana Duta (18462981)

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PID controller parameters optimization process. by Hongjun Meng (5031806)

Plant leave disease dataset https://www.kaggle.com/datasets/vipoooool/new-plant-diseases-dataset/data. by Abdullah Sheneamer (19169236)

Ultrafast Hydrogen Detection System Using Vertical Thermal Conduction Structure and Neural Network Prediction Algorithm Based on Sensor Response Process by Ruilin Yang (151028)

“…Here we report an ultrafast (0.4 s) hydrogen detection system based on a wafer-scale fabrication process. It consists of a low power (20.2 mW) hydrogen sensor based on vertical thermal conduction structure and a signal processing circuit introduced with a neural network prediction algorithm based on sensor response process. …”

Ultrafast Hydrogen Detection System Using Vertical Thermal Conduction Structure and Neural Network Prediction Algorithm Based on Sensor Response Process by Ruilin Yang (151028)

“…Here we report an ultrafast (0.4 s) hydrogen detection system based on a wafer-scale fabrication process. It consists of a low power (20.2 mW) hydrogen sensor based on vertical thermal conduction structure and a signal processing circuit introduced with a neural network prediction algorithm based on sensor response process. …”