Results 21 to 30 of about 1,093,401 (218)
Quantitative tools in microbial and chemical risk assessment
The EU‐FORA programme ‘Quantitative tools in microbial and chemical risk assessment’ was dedicated to training on predictive microbiology fundamentals, implementation of different modelling strategies, design of experiments and software tools such as ...
Deyan Stratev, Vasilis P Valdramidis
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Design of Simulation Tools for Teaching in Photovoltaic Energy Engineering
Software tools are used to support the development of engineering projects in different fields, including the area of renewable energies (solar photovoltaic, thermal, wind, etc.).
Ana Maria Diez-Pascual +2 more
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Open Source Assessment of Deep Learning Visual Object Detection
This paper introduces Detection Metrics, an open-source scientific software for the assessment of deep learning neural network models for visual object detection.
Sergio Paniego +2 more
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Precision medicine approaches often rely on complex and integrative analyses of multiple biomarkers from “omics” data to generate insights that can help with either diagnostic, prognostic, or therapeutical decisions.
Uraquitan Lima Filho +2 more
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Efficient, distributed and interactive neuroimaging data analysis using the LONI pipeline
The LONI Pipeline is a graphical environment for construction, validation and execution of advanced neuroimaging data analysis protocols [1]. It enables automated data format conversion, allows Grid utilization, facilitates data provenance, and provides ...
Ivo Dinov +10 more
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Integrating Bioinformatics Tools Into Inquiry-Based Molecular Biology Laboratory Education Modules
The accelerating expansion of online bioinformatics tools has profoundly impacted molecular biology, with such tools becoming integral to the modern life sciences.
Carlos C. Goller +8 more
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Deep learning models for graphic image recognition have achieved strong performance across diagnostics, robotics, and security applications, yet their reliability decreases when confronted with incomplete or redundant input data.
Danylo Borovyk +5 more
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Finetuning Large Language Models for Vulnerability Detection
This paper presents the results of finetuning large language models (LLMs) for the task of detecting vulnerabilities in Java source code. We leverage WizardCoder, a recent improvement of the state-of-the-art LLM StarCoder, and adapt it for vulnerability ...
Aleksei Shestov +9 more
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Since the late 1970s, satellite passive-microwave brightness temperatures have been a mainstay in remote sensing of the cryosphere. Polar snow and ice-covered ocean and land surfaces are especially sensitive to climate change and are observed to ...
Mary J. Brodzik +2 more
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Accurately recognizing complex graphic patterns remains a critical challenge in advanced computer vision applications, especially in domains that require high-accuracy structural analysis, such as tumor-focused medical imaging. Whole-slide histopathology
Danylo Borovyk +5 more
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