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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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. …"

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. …"

Thermoneutrality decreased sepsis survival. حسب Goldia Chan (21453340)

TITAN decreaser diatom heatmap. حسب Brent J. Bellinger (21156150)

"…., <i>z-</i>) diatom taxa (y-axis) to at least one of the five stressors, in decreasing order of number of stressor responses. Blue-orange scale corresponds to the <i>z</i> score that indicates the magnitude of response to a stressor.…"

Introgression decreases allelic shuffling. حسب Enrique J. Schwarzkopf (6579275)

Naringenin decreases mitochondrial function. حسب Lauren A. Eanes (20995499)

Noise decrease rate comparison. حسب Xianlin Ren (22783589)

Mask R-CNN training loss graph. حسب Dennis Dennis (20490126)

"…The reported scale and decreased to a value close to 0 indicates that the model has effectively learned from the training data, enabling it to recognize object shapes and make accurate classifications.…"