The algorithm to define the study population. by Michael C. Reed (6622226)

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

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

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

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Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

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Improve algorithm settings. by Hui Zhao (7395)

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Phases of proposed algorithm. by Muhammad Abdullah (3357692)

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

Comparison of model mean accuracy for the effectiveness of the VRA—fluorescence subtraction algorithm over 450 iterations. by Tri Ngo Quang (20390189)

Effects of different algorithms on feature extraction of jamming signals. by Hui Zhao (7395)

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Comparison between three machine learning models mean accuracy score among several Raman preprocessing algorithms. by Tri Ngo Quang (20390189)

Efficiency of imputation algorithms. by Yongqi Bu (20477564)

Model comparison used. by Md. Fahim Ul Islam (22470251)

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The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

The proposed Model Architecture using NADAM Opitmizer. by Md. Fahim Ul Islam (22470251)

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The schematic diagram of the iForest algorithm. by Zhibo Xie (6790775)

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MAPR of GPT compared with optimal algorithm. by Ali Abir Shuvro (21982871)

“…An effective solution is leveraging the generative power of LLMs for such tasks where there is no necessity for prior algorithmic and programming knowledge. A zero-shot analysis of these models is necessary to define the feasibility of using them in such tasks. …”

Errors from the LLM and simulated algorithms. by Ali Abir Shuvro (21982871)

“…An effective solution is leveraging the generative power of LLMs for such tasks where there is no necessity for prior algorithmic and programming knowledge. A zero-shot analysis of these models is necessary to define the feasibility of using them in such tasks. …”

Slice distribution using our proposed hybrid CNN model. by Md. Fahim Ul Islam (22470251)

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