Bayesian optimization results of key hyperparameters. by Hang Zhao (143592)

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Vibration Nondestructive Testing of Continuous Welded Rails: A Finite Element Analysis by Alireza Enshaeian (20360253)

“…<p>This paper presents a finite element model for the dynamic vibration of continuous-welded rails (CWR) under different longitudinal stresses and base conditions. …”

<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. …”

Elements: Multiparticle collision dynamics simulations of mesoscale hydrodynamic interactions in complex soft materials and environments by Michael Howard (19421473)

Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase... by Zhao Li (300229)

Collaborative Research: Elements: Building an open-source DFT+eDMFT database for quantum materials by Subhasish Mandal (19417771)

Power quality control algorithms for small scale power intergration systems by Advocate Mlamla (20170815)

“…The CPDs depend on the DC link voltage from the storage element used which is not always sufficient and the compensation of the power quality issues fail. …”

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. …”

Mean and maximum |B1+| values calculated over the Region of Interest (ROI) for the simulated and experimental |B1+| maps, and associated temperature elevations ΔT as achieved with... by Maryam Arianpouya (12299222)

Video 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.mp4 by Matthew Yedutenko (5142461)

“…However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …”

Data Sheet 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.pdf by Matthew Yedutenko (5142461)

“…However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …”

<b>BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification</b> by BRISC Dataset (22559540)

The simulation of OSCNN involves loading data from a laser and SLM and simulating different optical free space components. by Reyhane Ahmadi (14857363)

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Different implementations on MNIST object detection accuracy (%) with input image size. by Reyhane Ahmadi (14857363)

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Outline of OSCNN. by Reyhane Ahmadi (14857363)

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Gabor filters are created as sine wave filters in four different directions, namely 0, <i>π</i>/2, <i>π</i>, and 3<i>π</i>/4 degrees. by Reyhane Ahmadi (14857363)

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OSCNN accuracy with different feature extractors. by Reyhane Ahmadi (14857363)

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Breaking Electrode Placement Constraints in Brain-Computer Interfaces: A Cross-Brain Neural Signal Reconstruction-Decoding Approach by Wenqiang Yan (20950745)

TIR-Learner v3: New generation TE annotation program for identifying TIRs by Tianyu Lu (18856792)

“…<h3><b>Abstract</b></h3><p dir="ltr">TIR-Learner is an ensemble pipeline for Terminal Inverted Repeat (TIR) transposable elements annotation, which combines homology-based detection, de novo tools and convolutional neural network to classify candidate sequences into five major TIR superfamilies. …”

Registration and distance measurement of two faces. by Radek Ošlejšek (21982892)