Signal ratio <i>R</i>/2 = (<i>S</i>2/2<i>S</i>1) computed using Equation S3 in S1 File for successive application of a gradient echo pulse sequence with flip angles <i>θ</i><sub>1<... by Maryam Arianpouya (12299222)

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Workflow comparison. by Maryam Arianpouya (12299222)

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Simulated B₁⁺ maps using the standard and the low-SAR bases and the experimental maps for CH1-CH4. by Maryam Arianpouya (12299222)

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Reliable safety decision-making for autonomous vehicles: a safety assurance reinforcement learning by Yuchen Niu (8104454)

“…<p>Reinforcement learning (RL) can improve autonomous vehicles (AVs) by supporting adaptive decision-making, but it faces challenges in providing reliable safety across diverse scenarios. …”

Architecture of the proposed stacked ensemble learning model, illustrating the use of three base learners (decision tree, random forest, and XGBoost) to generate predictions (Predi... by Azhar Imran (17720751)

NOISYmputer’s workflow. by Cécile Triay (12553642)

Data and R code related to the submitted manuscrit entitled "In situ imagery unravels resources exploitation strategies among ant communities in a tropical agrosystem" by Dominique Carval (20964191)

Community structure analysis for HCA and GMM clustering results based on time and range profiles. by Dolores Bernenko (16528426)

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. Improving algorithmic efficiency through hardware-aware implementations enables application to larger systems and more efficient generation of larger training data sets for machine-learning. …”

Table 1_Establishment of reliable identification algorithms for acute heart failure or acute exacerbation of chronic heart failure using clinical data from a medical information da... by Ryusuke Inoue (4617505)

“…The highest sensitivity at 89.53% was observed for Algorithm 9. This algorithm was constructed using a combination of disease codes entered in electronic medical records, DPC, or health insurance claims data, abnormal BNP values in the moderate or high range (≥100 pg/mL), and medications for acute heart failure. …”

Comparison of planning results. by Tianhe Sun (21145341)

“…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”

Economic parameters of equipment to be built. by Tianhe Sun (21145341)

“…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”

Results of coordinated ESS planning. by Tianhe Sun (21145341)

“…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”

Typical daily load curves. by Tianhe Sun (21145341)

“…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”

Typical daily wind power production curves. by Tianhe Sun (21145341)

“…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”

Typical daily solar power production curves. by Tianhe Sun (21145341)

“…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”

Feature dimensions used in dataset design. by Christian Jarvers (6328562)

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Example images from datasets. by Christian Jarvers (6328562)

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Performance of basic networks. by Christian Jarvers (6328562)

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Performance of basic networks trained on shape-only images. by Christian Jarvers (6328562)

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