Video 4_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

Video 2_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

Identifying the groups becomes harder when the degradation chain is long, especially for groups catalyzing upstream reactions. by Yuanchen Zhao (12905580)

“…<p>(A) The panel shows the ability of the Metropolis algorithm to recover the true functional groups within a linear degradation chain with <i>N</i> = 4 metabolites. …”

Intermediate solutions. by Tarun Khajuria (12117309)

A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment by Jing Zhan (20716673)

“…This dataset is intended to foster research into innovative methods for assessing heart function, particularly in arrhythmic conditions, and to contribute to the development of more accurate, cost-effective, and accessible monitoring solutions for both clinical and home-based settings. …”

Classifying objects in constellation images. by Tarun Khajuria (12117309)

Solutions by Pix2pix model. by Tarun Khajuria (12117309)

Similarity of misclassified classes in humans and GenSearch. by Tarun Khajuria (12117309)

Ablation experiments. by Weiyu Han (3448742)

Ablation experiments. by Weiyu Han (3448742)

Structure of CRU. by Weiyu Han (3448742)

Ablation experiments. by Weiyu Han (3448742)

Contrasting experiment results. by Weiyu Han (3448742)

Structure of SRU. by Weiyu Han (3448742)

Experimental hyperparameter setting. by Weiyu Han (3448742)

Experimental software and hardware configuration. by Weiyu Han (3448742)

Distribution of insulator target data. by Weiyu Han (3448742)

Structure of C2f_SCConv. by Weiyu Han (3448742)

Structure of SimAM attention. by Weiyu Han (3448742)

Deep Learning-Based Multi-Scale Bubble Detection and Feature Analysis by Lichun Bai (6684683)

“…The spatial and channel reconstruction convolution (SCConv) module is integrated in the neck network of the model to reduce feature redundancy in both the channel and spatial dimensions. The efficient complete intersection over union (EfficiCIoU) loss function is adopted to finely adjust the bounding boxes, enhancing the detection capability for multiscale bubbles. …”