A waterfall plot analysis. حسب Alemu Birara Zemariam (17540938)

الموضوعات:

Stunting final dataset. حسب Alemu Birara Zemariam (17540938)

الموضوعات:

af3cli: Streamlining AlphaFold3 Input Preparation حسب Philipp Döpner (21028454)

"…With the release of AlphaFold3, modeling capabilities have expanded beyond protein structure prediction to embrace the inherent complexity of biomolecular systems, including nucleic acids, ions, small molecules, and their interactions. …"

Memory monitoring recognition test workflow. حسب Pedro C. Martínez-Suárez (21192459)

"…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …"

Voice recognition workflow. حسب Pedro C. Martínez-Suárez (21192459)

"…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …"

Memory monitoring recognition test main screen. حسب Pedro C. Martínez-Suárez (21192459)

"…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …"

Task descriptions. حسب Pedro C. Martínez-Suárez (21192459)

"…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …"

Expanding Access to Advanced Scientific Workflows: The NSF Unidata Science Gateway Leverages Innovative Capabilities of the NSF Jetstream2 Cloud for Atmospheric Science Education حسب Julien Chastang (640650)

"…</p><p><br></p><p dir="ltr">This presentation will highlight two case studies that demonstrate the practical applications of our advanced computational tools. The first case study involves our support of a Master’s thesis project focused on the predictive capabilities of AI/ML in atmospheric science, specifically using convolutional neural networks (CNNs) to simulate and predict storm patterns. …"

Extending the pyAFQ software. حسب John Kruper (18809386)

Relationship between sunlight measures and daily activity. حسب Oleg Kovtun (1618660)

Heat Map Correlation. حسب Majed Alzara (20700224)

"…The study shows that deep learning models can accurately predict economic indicators. This gives Egypt’s construction industry a useful, data-driven tool for estimating costs ahead of time. …"

Research Methodology. حسب Majed Alzara (20700224)

"…The study shows that deep learning models can accurately predict economic indicators. This gives Egypt’s construction industry a useful, data-driven tool for estimating costs ahead of time. …"

Spearman’s Rank Correlation. حسب Majed Alzara (20700224)

"…The study shows that deep learning models can accurately predict economic indicators. This gives Egypt’s construction industry a useful, data-driven tool for estimating costs ahead of time. …"

Result of Stepwise Regression. حسب Majed Alzara (20700224)

"…The study shows that deep learning models can accurately predict economic indicators. This gives Egypt’s construction industry a useful, data-driven tool for estimating costs ahead of time. …"

Variance Inflation Factor. حسب Majed Alzara (20700224)

"…The study shows that deep learning models can accurately predict economic indicators. This gives Egypt’s construction industry a useful, data-driven tool for estimating costs ahead of time. …"

Pearson Correlation Matrix. حسب Majed Alzara (20700224)

"…The study shows that deep learning models can accurately predict economic indicators. This gives Egypt’s construction industry a useful, data-driven tool for estimating costs ahead of time. …"

Evaluation Metrics for LSTM Model and GRU Model. حسب Majed Alzara (20700224)

"…The study shows that deep learning models can accurately predict economic indicators. This gives Egypt’s construction industry a useful, data-driven tool for estimating costs ahead of time. …"

Schematic architecture of OmnibusX, illustrating its modular design and data flow. حسب Linh Truong (4669021)

Predicting coding regions on unassembled reads, how hard can it be? - Genome Informatics 2024 حسب Amanda Clare (98717)

"…The locations and directions of the synthetic reads are stored. Predictions are made on the set of reads, using several prediction tools. …"

Table 1_Magnetic resonance imaging-based deep learning for predicting subtypes of glioma.docx حسب Zhen Yang (107412)

"…The receiver operating characteristic curve (ROC), area under the curve (AUC) of the ROC were generated in the jupyter notebook tool using python language to evaluate the accuracy of the models in classification and comparing the predictive value of different MRI sequences.…"