Increasing algorithm’s responsiveness to multiple stakeholders (programs and students). حسب Briance Mascarenhas (15194984)

Multiple logistical regression models of matching. حسب Briance Mascarenhas (15194984)

The multiple factors influencing carbon price. حسب Beibei Hu (5347559)

An accessibility spatial search algorithm to optimize defibrillator deployment in indoor space حسب Lina Yang (9097202)

"…Instead, we propose an accessibility spatial search algorithm (ASSA) to generate candidate areas of facility coverage based on an indoor space model, and optimizes the candidate areas subject to three objectives: maximizing the survival rate, maximizing total spatial coverage and maximizing backup coverage. …"

Agent-based digital traffic model generation for regions facing data scarcity using aggregated cellphone data: a case study for Brussels حسب Jingjun Li (7391258)

"…This research presents a systematic ABM generation algorithm for Brussels, Belgium, that generates high-quality ABMs more representative of real-life travel patterns, including incorporating external travel demand and allowing multiple destinations for the same activity types in activity chaining. …"

Fig 2 - حسب Stan Kerstjens (13410092)

"…If the match between internal and external expression can be improved by moving into multiple different directions, or by transitioning to multiple different states, the single axonal branch is split into two new branches that continue to execute the same algorithm, but whose independent states may subsequently diverge. …"

Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports حسب Olivier Q. Groot (9370461)

"…At a threshold of 0.90, NLP algorithm correctly identified multiple bone metastases in 117 of the 124 who had multiple bone metastases in the testing cohort (sensitivity 0.94) and yielded 3 false positives (specificity 0.82). …"

Table 2_An explainable machine learning model for predicting preterm birth in pregnant women with gestational diabetes mellitus and hypertensive disorders of pregnancy: development... حسب Landan Kang (20108214)

"…</p>Methods<p>This retrospective dual-center study included electronic medical records from 121 and 136 pregnant women with comorbid GDM and HDP, which served as the development and external validation cohorts, respectively. Multiple machine learning algorithms, including Least Absolute Shrinkage and Selection Operator (LASSO) regression, Random Forest (RF), and Naive Bayes (NB), were applied to construct predictive models. …"

Table 1_An explainable machine learning model for predicting preterm birth in pregnant women with gestational diabetes mellitus and hypertensive disorders of pregnancy: development... حسب Landan Kang (20108214)

"…</p>Methods<p>This retrospective dual-center study included electronic medical records from 121 and 136 pregnant women with comorbid GDM and HDP, which served as the development and external validation cohorts, respectively. Multiple machine learning algorithms, including Least Absolute Shrinkage and Selection Operator (LASSO) regression, Random Forest (RF), and Naive Bayes (NB), were applied to construct predictive models. …"

Classic oscillator simulations. حسب Keith B. Doelling (10746230)

The Apache Spark layered architecture. حسب Davide Chicco (6194927)

CSSI Frameworks: Performance Engineering Scientific Applications with MVAPICH and TAU using Emerging Communication Primitives حسب Dhabaleswar K. Panda (455103)

CSSI Frameworks: Performance Engineering Scientific Applications with MVAPICH and TAU using Emerging Communication PrimitivesCSSI Frameworks: Performance Engineering Scientific App... حسب Dhabaleswar K. Panda (455103)

CSSI Frameworks: Performance Engineering Scientific Applications with MVAPICH and TAU using Emerging Communication PrimitivesCSSI Frameworks: Performance Engineering Scientific App... حسب Dhabaleswar K. Panda (455103)

DataSheet1_Advancing hybrid quantum–classical computation with real-time execution.pdf حسب Thomas Lubinski (13201953)

"…This integrated approach eliminates the need to evaluate and store a potentially prohibitive volume of classical data within the quantum program in order to explore multiple solution paths. It enables a new type of quantum algorithm that requires fewer round-trips between an external classical driver program and the execution of the quantum program, significantly reducing computational latency, as much of the classical computation can be performed during the coherence time of quantum program execution. …"

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML حسب Ayush Garg (21090944)

"…In summary, exploration of multiple data balancing techniques is recommended for classifying imbalanced data sets to achieve optimal performance as neither of the external techniques nor the internal techniques outperform others significantly. …"

Riemann Hypothesis Solution: A Structured Hilbert-Polya Operator Realization via Entropy Geometry حسب Jennifer Bulyaki (22283308)

“One-shot flip-flop” (1SFF) plasticity. حسب Toviah Moldwin (10866708)

Table_1_Derivation and validation of the first web-based nomogram to predict the spontaneous pregnancy after reproductive surgery using machine learning models.docx حسب Zhenteng Liu (6998819)

"…Multiple common machine learning algorithms, namely logistic regression, decision tree, random forest, support vector machine, k-nearest neighbor, and extreme gradient boosting, were employed to construct the predictive models. …"

Comparing Machine Learning Models for Aromatase (P450 19A1) حسب Kimberley M. Zorn (6397748)

"…In addition, the performance of multiple machine learning algorithms was evaluated by comparing internal five-fold cross-validation statistics of the training data. …"