Titlebook: Applications of Artificial Intelligence and Neural Systems to Data Science; Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero Book 2023 The E

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書目名稱Applications of Artificial Intelligence and Neural Systems to Data Science影響因子(影響力)




書目名稱Applications of Artificial Intelligence and Neural Systems to Data Science影響因子(影響力)學科排名




書目名稱Applications of Artificial Intelligence and Neural Systems to Data Science網(wǎng)絡公開度




書目名稱Applications of Artificial Intelligence and Neural Systems to Data Science網(wǎng)絡公開度學科排名




書目名稱Applications of Artificial Intelligence and Neural Systems to Data Science被引頻次




書目名稱Applications of Artificial Intelligence and Neural Systems to Data Science被引頻次學科排名




書目名稱Applications of Artificial Intelligence and Neural Systems to Data Science年度引用




書目名稱Applications of Artificial Intelligence and Neural Systems to Data Science年度引用學科排名




書目名稱Applications of Artificial Intelligence and Neural Systems to Data Science讀者反饋




書目名稱Applications of Artificial Intelligence and Neural Systems to Data Science讀者反饋學科排名

LIEN

Leaky Echo State Network for?Audio Classification in?Construction Sites. After the description of the proposed approach, we provide some numerical results obtained on the recorded signals. The overall accuracy on the test set, after the integration of a majority voting approach, is up?to 95.3%, comparable to other state-of-the-art machine learning methods demonstrating the effectiveness of the approach.

Root494

Empirische Analyse sozialer Probleme on the INbreast dataset. The performance was encouraging, resulting in an mAP of 0.838 ± 0.042, a recall of 0.722 ± 0.096, and a precision of 0.917 ± 0.077, calculated using the five-fold CV. The recognition rate achieved with the transfer learning on full-field digital mammograms, encouraging future analysis on a proprietary dataset.

一再困擾

Akteure: Typen, Interessen, Kooperationenion problem is that of maximizing the coalition competence by respecting a cost constraint. We describe some examples in order to clarify our contribution. We also propose a multi-objective approach where one will try to maximize competence and minimize cost. We compute the Pareto front and compare the results of the two approaches.

擴音器

Breast Cancer Localization and Classification in Mammograms Using YoloV5 on the INbreast dataset. The performance was encouraging, resulting in an mAP of 0.838 ± 0.042, a recall of 0.722 ± 0.096, and a precision of 0.917 ± 0.077, calculated using the five-fold CV. The recognition rate achieved with the transfer learning on full-field digital mammograms, encouraging future analysis on a proprietary dataset.

甜瓜

Generic-Drug

開始發(fā)作

Assignment

Recessive

Graph Neural Networks for Topological Feature Extraction in ECG Classificationnamed graph isomorphism network for classifying the ECGs. On the PTB Diagnostics data set, we tested the three proposed techniques. According to the findings, the three proposed techniques are capable of making arrhythmia classification predictions with the accuracy of 99.38, 98.76, and 91.93%, respectively.