Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

"…<div><p>Finding optimal parameters for detailed neuronal models is a ubiquitous challenge in neuroscientific research. …"

Automatic classification of germline nuclei provides quantifications of meiotic progression. حسب Oane Gros (20636735)

A list of all facial muscle movements mentioned in the chimpFACS manual [5] and considered in our present study. حسب Aisha Mahmoud (20623732)

A list of all facial muscle movements mentioned in the catFACS manual [14] and considered in our present study. حسب Aisha Mahmoud (20623732)

[ relative elevation model data visualization for Data Bloom 2024 ] حسب Rusmiya Aqid (22189850)

"…<p dir="ltr">This visualization takes the digital elevation model (DEM) of a portion of the Colorado River and transforms it into a relative elevation model (REM); unlike DEM, REM shows the relative height above the river and can more clearly highlight river features. …"

Smart Reaction Templating: A Graph-Based Method for Automated Molecular Dynamics Input Generation حسب Julian Konrad (9609845)

"…Accurately modeling chemical reactions in molecular dynamics simulations requires detailed pre- and postreaction templates, often created through labor-intensive manual workflows. …"

Model fitting to neighborhood-level COVID-19 case data. حسب Renquan Zhang (13167533)

"…<p>(A), Simulations using model parameters estimated for the period from March 1, 2020 to December 13, 2020. …"

Dataset for the Modeling and Bibliometric Analysis of E-business in Entrepreneurship (1997–2024) حسب Aggie Moses Zeuse (21460466)

"…These include a summary of Main Information (PNG), a graph of the Annual Scientific Production (PNG), a Thematic Map (PNG) illustrating core research themes, and an analysis of Trend Topics (PNG). For the modeling component, a predictive analysis was conducted using Python to forecast future publication volumes. …"

Dataset for CNN-based Bayesian Calibration of TELEMAC-2D Hydraulic Model حسب Jose Zevallos (21379988)

"…</li><li>Files starting with <code>y_part</code> are flattened output arrays representing corresponding water depth values.</li></ul></li></ul><p dir="ltr">The <code>.npy</code> files were loaded and processed using the following approach in Python:</p><p dir="ltr"># Load the input and output numpy arrays</p><p dir="ltr">input_path = "..…"

Replication package for Exploring the relation between source code commit information and SonarQube issues حسب Liviu Marian Berciu (17797934)

Data Sheet 1_Establishing a real-time biomarker-to-LLM interface: a modular pipeline for HRV signal acquisition, processing, and physiological state interpretation via generative A... حسب Morris Gellisch (18627744)

"…</p>Discussion<p>This system represents an early prototype of bioadaptive AI, in which physiological signals are incorporated as part of the model's input context.…"

LGF v7HELLAS: A Dynamical Model of Ethical Convergence and Lambda-Zero Transition حسب heojeongbeom heo (22544705)

"…<h2><b>Description</b></h2><p dir="ltr"><b>LGF v7.Hellas</b> represents the final, validated form of the <i>Language Gravitational Field (LGF)</i> model, completing the transition from early unstable versions (v5.2) to the fully stable, reproducible, scientifically grounded system (v5.3 → v7.0 → v7.Hellas).…"

Environmental Census: Modeling Synthetic Biology Ecological Risk with Metagenomic Enzymatic Data and High-Performance Computing حسب John Docter (22772100)

Exploring post-wildfire hydrologic response in central Colorado using field observations and the Landlab modeling framework حسب Jordan Adams (595056)

"…Landlab, an open-source, componentized model written in Python, can be used to explore landscape evolution across both short and long time scales. …"

Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx حسب Piyachat Udomwong (22563212)

"…In five-fold cross-validation, heavy (H) chain models achieved the highest performance (F1 = 0.856 ± 0.014, MCC = 0.842 ± 0.015), outperforming light (L) chain models (F1 = 0.774 ± 0.023, MCC = 0.772 ± 0.022). …"

Oka et al., Supplementary Data for "Development of a battery emulator using deep learning model to predict the charge–discharge voltage profile of lithium-ion batteries" حسب Kanato Oka (20132185)

"…</p><p dir="ltr"><br></p><p dir="ltr">01_lstm_model_making.py</p><p dir="ltr">This file is a Python script for reading battery charge-discharge data and training an LSTM model. …"

Overview of deep learning terminology. حسب Aaron E. Maxwell (8840882)

"…This paper introduces the geodl R package, which supports pixel-level classification applied to a wide range of geospatial or Earth science data that can be represented as multidimensional arrays where each channel or band holds a predictor variable. geodl is built on the torch package, which supports the implementation of DL using the R and C++ languages without the need for installing a Python/PyTorch environment. …"

Overview of generalized weighted averages. حسب Nobuhito Manome (8882084)

"…The code is available at <a href="https://github.com/manome/python-mab" target="_blank">https://github.com/manome/python-mab</a>.…"

Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout. حسب Adel Heydarabadipour (22290905)

"…<p>Log–log plot of median wall-clock time for SBMLNetwork’s C++-based auto-layout engine (blue circles, solid fit) and SBMLDiagrams’ implementation of the pure-Python NetworkX spring_layout algorithm (red squares, dashed fit), applied to synthetic SBML models containing 20–2,000 species, with a fixed 4:1 species-to-reaction ratio. …"

MCCN Case Study 3 - Select optimal survey locality حسب Donald Hobern (21435904)