<b>Microscopy data, analysis code, and segmentation models for Phenotypic drug susceptibility testing for </b><b><i>Mycobacterium tuberculosis </i></b><b>variant</b><b><i> bovis </... by Buu Minh Tran (19530787)

“…This study used microfluidic chips, microscopy, and deep neural network algorithms to monitor the growth of <i>Mycobacterium bovis</i> Bacillus Calmette–Guérin (BCG) and <i>Mycobacterium smegmatis</i> in the presence of antibiotics. …”

Table 2 - IgStrand: A universal residue numbering scheme for the immunoglobulin-fold (Ig-fold) to study Ig-proteomes and Ig-interactomes by Caesar Tawfeeq (21087272)

<b>Exploring blood diagnostic markers for diabetic nephropathy through metabolomics and machine learning</b> by yuan sun (20399105)

The organizational flow of the study. by Jennifer Hornung Garvin (20765727)

“…Participants identified design elements that were both facilitators and barriers to use. …”

Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem by Hongwei Chu (3912916)

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Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem by Hongwei Chu (3912916)

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Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem by Hongwei Chu (3912916)

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Experimental environment configuration. by Bei Huang (485021)

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Performance evaluation results of the ablation experiment. by Bei Huang (485021)

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Comparison between Ghiasi et al.’s 3D virtual scene aesthetic style expression and Hybrid Garden StyleNet. by Bei Huang (485021)

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Structure of the style prediction network. by Bei Huang (485021)

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Structure of the style transfer network. by Bei Huang (485021)

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Comparison of network training duration. by Bei Huang (485021)

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Comparison on different number of residual blocks. by Bei Huang (485021)

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Overall flow chart of the model. by Bei Huang (485021)

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Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction by Mohamad A. Raja (19640297)

“…Furthermore, we validate the optimized ANN model in a rapid capacity degradation condition, showcasing the suitability of such algorithms for studying coupled multifunctional structures under mechanical and electrochemical loads, providing promising insights for optimizing the development of multifunctional composites.…”

Research data for paper "Loss shaping enhances exact gradient learning with Eventprop in Spiking Neural Networks" by Thomas Nowotny (4462033)

“…<p dir="ltr">The data in this repository was generated in the context of training spiking neural networks for keyword recognition using the Eventprop algorithm. …”

Schematic representation of the friendship-based approach to synthetic contacts generation. by Lucille Calmon (20405053)

“…These lists are specific for each class and pair of classes, and each base day. (C) Description of the different steps of the algorithm. …”

Exposome traditional approach versus what MAMELI is going to pursue. by Valentina Bollati (106778)

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Map showing the location of Legnano, home to the MAMELI project. by Valentina Bollati (106778)

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