Test results on different datasets. by Yuxuan Ji (13991895)

“…<div><p>Image classification, as the core task of computer vision, has broad application value in fields such as medical diagnosis and intelligent transportation.However, the ability of differentiable neural architecture to search (NAS) for local information is weak, which limits the accuracy and long-distance information capture capability of the algorithm. …”

Comparison result of memory usage. by Yuxuan Ji (13991895)

“…<div><p>Image classification, as the core task of computer vision, has broad application value in fields such as medical diagnosis and intelligent transportation.However, the ability of differentiable neural architecture to search (NAS) for local information is weak, which limits the accuracy and long-distance information capture capability of the algorithm. …”

Residual configuration. by Yuxuan Ji (13991895)

“…<div><p>Image classification, as the core task of computer vision, has broad application value in fields such as medical diagnosis and intelligent transportation.However, the ability of differentiable neural architecture to search (NAS) for local information is weak, which limits the accuracy and long-distance information capture capability of the algorithm. …”

Test results for P, R, F1, and OA. by Yuxuan Ji (13991895)

“…<div><p>Image classification, as the core task of computer vision, has broad application value in fields such as medical diagnosis and intelligent transportation.However, the ability of differentiable neural architecture to search (NAS) for local information is weak, which limits the accuracy and long-distance information capture capability of the algorithm. …”

Schematic diagram of DARTS-VAN model structure. by Yuxuan Ji (13991895)

“…<div><p>Image classification, as the core task of computer vision, has broad application value in fields such as medical diagnosis and intelligent transportation.However, the ability of differentiable neural architecture to search (NAS) for local information is weak, which limits the accuracy and long-distance information capture capability of the algorithm. …”

DARTS-VAN model unit search process. by Yuxuan Ji (13991895)

“…<div><p>Image classification, as the core task of computer vision, has broad application value in fields such as medical diagnosis and intelligent transportation.However, the ability of differentiable neural architecture to search (NAS) for local information is weak, which limits the accuracy and long-distance information capture capability of the algorithm. …”

Soybean phenological stages. by Airton Andrade da Silva (19697534)

“…The efficiency in identifying phenological stages by VI was determined through discriminant analysis and the Algorithm Neural Network–ANN, where the best classifications presented an Apparent Error Rate (APER) equal to zero. …”

Flowchart of the present research methodology. by Airton Andrade da Silva (19697534)

“…The efficiency in identifying phenological stages by VI was determined through discriminant analysis and the Algorithm Neural Network–ANN, where the best classifications presented an Apparent Error Rate (APER) equal to zero. …”

The results of ablation experiments. by Dongshan Jiang (21866339)

“…Therefore, our proposed algorithm has great potential in the field of drought resistance identification and germplasm selection of mung bean.…”

The working principle of the CGBD module. by Dongshan Jiang (21866339)

“…Therefore, our proposed algorithm has great potential in the field of drought resistance identification and germplasm selection of mung bean.…”

YOLOv8 network structure. by Dongshan Jiang (21866339)

“…Therefore, our proposed algorithm has great potential in the field of drought resistance identification and germplasm selection of mung bean.…”

(a) CAA module. (b) Star_Block_CAA module. by Dongshan Jiang (21866339)

“…Therefore, our proposed algorithm has great potential in the field of drought resistance identification and germplasm selection of mung bean.…”

(a) Star_block module. by Dongshan Jiang (21866339)

“…Therefore, our proposed algorithm has great potential in the field of drought resistance identification and germplasm selection of mung bean.…”

CSCA-YOLOv8 network structure. by Dongshan Jiang (21866339)

“…Therefore, our proposed algorithm has great potential in the field of drought resistance identification and germplasm selection of mung bean.…”

Hyperparameters settings. by Dongshan Jiang (21866339)

“…Therefore, our proposed algorithm has great potential in the field of drought resistance identification and germplasm selection of mung bean.…”

Experimental results of various loss functions. by Dongshan Jiang (21866339)

“…Therefore, our proposed algorithm has great potential in the field of drought resistance identification and germplasm selection of mung bean.…”

Machine Learning Correlation of Electron Micrographs and ToF-SIMS for the Analysis of Organic Biomarkers in Mudstone by Michael J. Pasterski (11726741)

“…We use unsupervised ML on scanning electron microscopy–electron dispersive spectroscopy (SEM-EDS) measurements to define compositional categories based on differences in elemental abundances. We then test the ability of four ML algorithmsk-nearest neighbors (KNN), recursive partitioning and regressive trees (RPART), eXtreme gradient boost (XGBoost), and random forest (RF)to classify the ToF-SIM spectra using (1) the categories assigned via SEM-EDS, (2) organic and inorganic labels assigned via SEM-EDS, and (3) the presence or absence of detectable steranes in ToF-SIMS spectra. …”

Data_Sheet_1_Comparison of three source attribution methods applied to whole genome sequencing data of monophasic and biphasic Salmonella Typhimurium isolates from the British Isle... by Jaromir Guzinski (5216876)

“…Here, we critically assessed and compared the outputs of three SA methods: a supervised classification random forest machine learning algorithm (RandomForest), an Accessory genes-Based Source Attribution method (AB_SA), and a Bayesian frequency matching method (Bayesian). …”

S4 Dataset - by JiaMing Gong (20427837)

“…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …”

Framework of EDAC. by JiaMing Gong (20427837)

“…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …”