Titlebook: Evolution in Computational Intelligence; Proceedings of the 1 Vikrant Bhateja,Xin-She Yang,Ranjita Das Conference proceedings 2023 The Edit

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書目名稱Evolution in Computational Intelligence影響因子(影響力)




書目名稱Evolution in Computational Intelligence影響因子(影響力)學(xué)科排名




書目名稱Evolution in Computational Intelligence網(wǎng)絡(luò)公開度




書目名稱Evolution in Computational Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evolution in Computational Intelligence被引頻次




書目名稱Evolution in Computational Intelligence被引頻次學(xué)科排名




書目名稱Evolution in Computational Intelligence年度引用




書目名稱Evolution in Computational Intelligence年度引用學(xué)科排名




書目名稱Evolution in Computational Intelligence讀者反饋




書目名稱Evolution in Computational Intelligence讀者反饋學(xué)科排名

LANCE

,Localization and?Classification of?Thoracic Abnormalities from?Chest Radiographs Using Deep Ensembldes two pipelines and an ensemble method. In the first pipeline, YOLOv5 and EfficientNet are used. In second pipeline, the Faster R-CNN model is used. Through the Weighted box fusion method, the fused predictions are created from pipeline results. The final detection results illustrate confidence sc

僵硬

,Brain Tumor Prediction from?MRI Images Using an?Ensemble Model Based on?EfficientNet-B2, B4, and?Re four types of MRI images, i.e., (i) Inversion Recovery with Fluid Attenuation, (ii) T1-weighted pre-contrast, (iii) T1-weighted post-contrast, and (iv) T2-weighted. Proposed deep ensembled network has demonstrated satisfactory performance and efficiency on the dataset.

充足

光亮

enlist

enlist

,An Approach of?Hate Speech Identification on?Twitter Corpus,s a need for integrated datasets and the hate speech prediction method. This paper describes the study on hate speech and offensive content identification in English language by using the various approaches based on machine learning algorithms (Support vector machine, decision tree, and so on) and N

博識

radiograph

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