Integrated Error Correction to Enhance Efficiency of Digital Data Storage Based on DNA Nanostructures by Cuiping Mao (1474171)

“…Here, we present an integrated error correction (IEC) algorithm that synergistically combines three enhanced mechanisms: the “head–tail” region Levenshtein distance for error-tolerant clustering (10× faster); sliding window-optimized Hamming distance for error detection and correction of insertions and deletions without length constraints; and score-weighted majority voting for optimal sequence selection (2% higher accuracy), collectively enhancing storage density and decoding efficiency. …”

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

“…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …”

Leader selection process. by Jian Yun (19703997)

Main feature selection module. by Yangzhuo Chen (21463876)

Precision and recall (in parentheses) of candidate methods under different heterogeneity levels (<i>h</i> = 10 or 20), different numbers of transferable source datasets (), and dif... by Lulu Pan (8977979)

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File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

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DataSheet1_Barrier-free tomato fruit selection and location based on optimized semantic segmentation and obstacle perception algorithm.docx by Lingli Zhou (539752)

“…Compared to the fruit detection method without visual obstacle avoidance (Yolo v5), our approach exhibited an 18.9% increase in selection precision and a 1.3% reduction in location error. …”

Computing time for the real-world analysis for each algorithm under consideration. The analysis is based on data from the National Health and Nutrition Examination Survey (NHANES)... by Mohammad Ehsanul Karim (3234213)

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Boundary selection strategy one. by Xiangfei Tao (20775636)

Boundary selection strategy two. by Xiangfei Tao (20775636)

Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks by Zhihuang Yang (22530437)

Mean parameter values for the selected crops. by Gourab Saha (8987405)

“…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …”

Evaluation metrics of selected ML models. by Gourab Saha (8987405)

“…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …”

Comparison of variable overlap of selected proxies across different methods used to evaluate the association between obesity and diabetes from the National Health and Nutrition Exa... by Mohammad Ehsanul Karim (3234213)

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Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

Selection of key anoikis-related genes. by Yufeng He (5673119)

Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

“…Accuracy <b>(A)</b> and error <b>(B)</b> of feature selection in SVM-RFE algorithm for hub gene selection. …”

Error measure comparison for Davis dataset. by Varun Malik (21212874)

Error measure comparison for KIBA dataset. by Varun Malik (21212874)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”