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.…”

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. …”

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)

Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase... by Zhao Li (300229)

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. …”

Comparison between Deep and Machine Learning algorithms (MAE and MSE lower the better) [25]. by Marco Alderighi (7195721)

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Comparison of information on predicting survival outcomes or metastasis of cancer patients using machine learning algorithms in the past. by Jingru Dong (14076094)

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Data construction of the first and last rows in . by Xiang Tian (4369285)

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Datasets for Development of Machine Learning Models in Blue Hydrogen Production Process by William George Davies (21661315)

MD5 signatures from specific regions from a set of files by Paul A. Gagniuc (1818325)

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