Thematic clouds for lectures. حسب Ignacio García-Espona (21395335)

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Thematic cloud for posters [2013-23]. حسب Ignacio García-Espona (21395335)

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CNN Model Architecture. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

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Flowchart of Proposed SMO_CNN. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

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CNN Model Layers Summary. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

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GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. حسب Jacqueline A. Jansen (14894276)

Performance Results of Proposed SMO_CNN Model. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

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Comparison cloud for lectures indicating the words that appeared most frequently in each period (2013-2017, top, blue colour; 2018-2023, bottom, red colour). حسب Ignacio García-Espona (21395335)

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Comparison cloud for posters indicating the words that appeared most frequently in each period (2013-2017, top, blue colour; 2018-2023, bottom, red colour). حسب Ignacio García-Espona (21395335)

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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx حسب Rasita Vinay (21006911)

"…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …"

Comparison cloud indicating the words that appeared most frequently with respect to each type of contribution (lectures, top, blue colour; posters, bottom, red colour) [2013-2023]. حسب Ignacio García-Espona (21395335)

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Comparison cloud indicating the words that appeared most frequently with regard to each type of lecturer (lecturers from the USA, top, blue colour; lecturers not from the USA, bott... حسب Ignacio García-Espona (21395335)

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Feasibility of AI-powered assessment scoring: Can large language models replace human raters? حسب Michael Jaworski III (22156096)

"…After ChatGPT-4.5 was publicly released, reliability decreased notably (e.g. ICC = −0.046 for BVMT-R Trial 3), and average scoring discrepancies per test increased (e.g. …"

CNN framework. حسب Sajid Mehmood (6689843)

"…These models have got a complex optimizer installed on them to decrease the false positive or DDoS case detection efficiency. …"

CNN frameworks. حسب Sajid Mehmood (6689843)

"…These models have got a complex optimizer installed on them to decrease the false positive or DDoS case detection efficiency. …"

CNN model. حسب Longfei Gao (698900)

"…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …"

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. حسب Randeep S. Jawa (20489181)

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Architecture of the proposed shallow CNN. حسب Shruti Atul Mali (21300851)

"…Classification analysis revealed that ComBat increased average AUC by 15.19%, whereas GAN decreased AUC by 2.56%.</p><p>Conclusion</p><p>While GAN qualitatively enhances image harmonization, ComBat provides superior statistical improvements in feature stability and classification performance, highlighting the importance of robust feature-level harmonization in radiomics.…"

Mitigation (decreasing) scenario. حسب Fabio Correddu (12501799)

CNN-LSTM action recognition process. حسب Longfei Gao (698900)

"…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …"