Overall flow of the HPDL-MIAIHD approach. by Naif Almakayeel (16846021)

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ICH recognition outcome of HPDL-MIAIHD methodology on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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curve of HPDL-MIAIHD methodology on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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Details on database. by Naif Almakayeel (16846021)

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Architecture of EfficientNet. by Naif Almakayeel (16846021)

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Average of HPDL-MIAIHD technique on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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The optimized parameters of the proposed GPR method. by Fahd Saeed Alakbari (10701871)

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The refracted opposition-based learning mechanism. by Yang Guo (399435)

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Video 1_The clinical application value of mixed reality in robotic laparoscopic partial nephrectomy.mp4 by Xin Chang Zou (20129301)

“…All patients underwent mid-abdominal CT plain scans and enhancements. The MR group utilized three-dimensional reconstruction of CT data and employed 3D tablets and HoloLens glasses for preoperative discussions, surgical planning, and intraoperative guidance. …”

Ct values and gene copies measured for each pathogen during field work, alongside national surveillance data; pH and NH3-N characterisation. by Jay C. Bullen (10232606)

Development of a machine learning method for predicting neutrophil-specific functional genes. by Guihua Wang (286390)

Heatmap of top 30 SI-induced gene expression changes by p-value. by Aodán Laighneach (17692183)

Heatmap of top 30 CEL-induced gene expression changes by p-value. by Aodán Laighneach (17692183)

RMSE versus learning rate. by Zhe Hu (787283)

Table 1_Development of a clinical prediction model for poor treatment outcomes in the intensive phase in patients with initial treatment of pulmonary tuberculosis.docx by Bin Lu (65603)

“…In the machine learning models, the AUC values of the random forest model and the integrated model were 0.821 and 0.835, respectively.…”

Comparison of the results of our model and other methods. by Weijia Zhu (65481)

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Learn!Bio study: Grouping of Participants. by Katy Andrews (22311170)

“…A total of 317 Bioscience undergraduate students in years 1–3 at the biology department at a northwest English university participated in this anonymous, cross-sectional, mixed-method study with open and closed questions evaluating their perception and feedback to remote and blended learning provisions during the Covid-19 pandemic and post pandemic learning capturing academic years 2019/20–2022/23. …”

Comparison of our model with other state-of-the-art methods. by Weijia Zhu (65481)

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Effectiveness of the proposed method to decrease chloroplast contamination. by Gabriela Madrid (11871401)

Evaluation of the effectiveness of double task. by Fan Yang (1413)

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