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

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

“…Reverse polar transformed spectrogram images such as (d) were used to train, validate, and test the deep CNN models in our study.…”

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

Proposed hybrid GA- ML algorithms. by Ankur Kumar (1357440)

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Proposed GA-ML algorithms pseudocode. by Ankur Kumar (1357440)

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Comparison of different optimization algorithms. by Hang Zhao (143592)

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Structure and the optimization technique of the algorithms adopted in the study. by M. A. Habib (16839161)

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DASR algorithm flow chart. by Shinan Ding (20783580)

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Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

Feature Importance Analysis of the Algorithms expressed by SHAP indices. by M. A. Habib (16839161)

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Statistical analysis of the prediction results from the ML algorithms. by M. A. Habib (16839161)

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The pre-processing of CTG raw signals [26]. by Amin Ullah (12015113)

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Algorithm of model development and validation. by Bethan Cracknell Daniels (20469396)

Talk: How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? by Subhankar Maity (19757325)

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Algorithms runtime comparison. by Meilin Zhu (688698)

“…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”

Risk element category diagram. by Yao Hu (3479972)

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Solution results of different algorithms. by Meilin Zhu (688698)

“…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”

A flow diagram to explain the algorithm named 2BDP (Biomarker Discovery Process at Binomial Decision Point) that we used to find the best fitting model to predict RRiF. by Nabarun Chakraborty (535772)

“…<p>A flow diagram to explain the algorithm named 2BDP (Biomarker Discovery Process at Binomial Decision Point) that we used to find the best fitting model to predict RRiF.…”