Our proposed framework. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Tomato dataset results. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Plant village dataset results. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Stacking five models ROC value. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Grape dataset results. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Ensemble deep learning classifiers results. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Hyberparameters of CNN architectures. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Peach dataset results. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Various fruits disease datasets [25]. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Apple dataset results. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Confusion matrix of stacking five models. by Abdullah Sheneamer (19169236)

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”

Identification of <i>Bacillus</i> and <i>Yersinia</i> species and hoax agents by protein profiling using microfluidic capillary electrophoresis with peak detection algorithms by Sorelle Bowman (6912863)

“…Protein profiling, using microfluidic capillary electrophoresis, provides a rapid (less than 40 minutes), reliable and field-based screening method.…”

DataSheet_1_Deep-learning models for image-based gynecological cancer diagnosis: a systematic review and meta- analysis.zip by Asefa Adimasu Taddese (8602431)

“…The most popular models were ResNet, VGGNet, and UNet. DL algorithms showed more sensitivity but less specificity compared to machine learning (ML) methods. …”

Table 1_Predicting emotional responses in interactive art using Random Forests: a model grounded in enactive aesthetics.xlsx by Xiaowei Chen (200607)

“…However, these emotional responses’ inherently dynamic, subjective, and often pre-reflective nature poses significant challenges to their systematic prediction and computational modeling.…”