Multiple Chinese flowering cabbage with leaf occlusion detection and localization. by Zhongjian Xie (4633099)

Multiple Chinese flowering cabbage without leaf occlusion detection and localization. by Zhongjian Xie (4633099)

Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image... by Xiaoke Liu (11388323)

Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

Fig 5 - by John Iacozza (5787789)

Examples of OBIA of beluga whales for two tiles from the original WorldView-3 satellite image. by John Iacozza (5787789)

Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

Automated matching and visualisation of magnetic flux leakage data in shale gas pipeline based on ICP and DBSCAN algorithm by Leyao Gu (17897654)

Worm Tracking Module. by Xiaoke Liu (11388323)

Iterative Registration and Clustering (IREC) Algorithm: The input image stack (<i>S</i>) is first aligned and grouped using registration and clustering (REC) based on an initial re... by Creighton M. Lisowski (22756444)

CBAM module architecture. by Buyu Wang (17889178)

IREC applied to UP–40–4. by Creighton M. Lisowski (22756444)

Top: Hierarchical deep spectral clustering results for AP–20–4. by Creighton M. Lisowski (22756444)

Top: Hierarchical deep spectral clustering results for AC–20–4. by Creighton M. Lisowski (22756444)

IREC applied to combined UP-20-4 and UC-20-4. by Creighton M. Lisowski (22756444)

IREC applied to UC–20–4. by Creighton M. Lisowski (22756444)

Issues with automatic and team-based QC. by Michael E. Kim (21956727)

Archive containing manufacturing files. by Julian Bigge (22331861)

“…<div><p>In this paper we propose the Hatching-Box, a novel in situ imaging and analysis system to automatically monitor and quantify the developmental behavior of <i>Drosophila melanogaster</i> in standard rearing vials and during regular rearing routines, reducing the need for explicit experiments.This is achieved by combining custom tailored imaging hardware with dedicated detection and tracking algorithms, enabling the quantification of larvae, filled/empty pupae and flies over multiple days. …”

Examples of cases in which the model failed to classify the parasites correctly, leading to misclassification and a drop in performance. by Hamid Cheraghi (22057476)

Automatic Cell Segmentation and Calcium Response Report after Laser-Induced Shockwave by Harvy Chang (22363293)

“…This project developed a Python-based workflow that integrates Cellpose, a machine learning algorithm, with data visualization tools to automate calcium imaging analysis.…”