BER at different SNR levels. by Hui Zhao (7395)

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Augmentation levels with back-translation. by Rodrigo Gutiérrez Benítez (19746443)

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The Search process of the genetic algorithm. by Wenguang Li (6528113)

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The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

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Proposing sequence genetic distances with a local greedy algorithm when genomic sampling data is available for a transmission pair. by Hannah Waddel (21520023)

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)

First figure represents the waveform of input signal and second shows its co-processed form in the ratio of 4:1 using DWT. by Sukhvinder Kaur (20297968)

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Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

“…</p><p dir="ltr">Firstly, a Python package HSC3D, was developed to quantify habitat structural complexity (HSC) at the community level. Built with machine learning algorithms and novel, scale-invariant metrics, this package provides more precise, scale-invariant representations of HSC than traditional approaches, which can be applied to a variety of habitats in different ecosystems. …”

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

Accuracy and average dots covered for difficulty level 11 using gradient descent to find the optimal solution. by Tarun Khajuria (12117309)

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Sanitized databases using MLHProtector algorithm. by Loan T. T. Nguyen (20660789)

“…To address this issue, this work suggests two PPUM algorithms, namely <b>MLHProtector</b> and <b>FMLHProtector</b>, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …”

Multi-sensor fusion process and algorithm workflow. by Hongliang Zou (20707270)

Model building process. by Zhanni Huang (20577481)

“…Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data. …”

Table 1_Intra- and inter-rater reliability in log volume estimation based on LiDAR data and shape reconstruction algorithms: a case study on poplar logs.docx by Gabriel Osei Forkuo (16752444)

“…Computer-based algorithms like Poisson interpolation and Random Sampling and Consensus (RANSAC) are commonly used to extract volume data from LiDAR point clouds, and comparative studies have tested these algorithms for accuracy. …”

Clinical use algorithm. by Chibuike K. Uwakwe (22655742)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Code and raw data used in this study. by Zhuolin Yang (14658411)

“…<div><p>In semantic image segmentation tasks, most methods fail to fully use the characteristics of different scales and levels but rather directly perform upsampling. …”

Comparison of experimental results of information entropy using different methods. by Cheng-jie Chen (22272090)

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Algorithm factor level change curve. by Kuiyuan Pan (21145338)

Solving process of gradient-based search. by Tarun Khajuria (12117309)

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