Titlebook: Data Science; Theory, Algorithms, Gyanendra K. Verma,Badal Soni,Alexandre C. B. Ramo Book 2021 The Editor(s) (if applicable) and The Autho

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Orchiectomy

Active Learning for Network Intrusion Detection. However, new attack vectors are continually designed and attempted by bad actors which bypass detection and go unnoticed due to low volume. One strategy for finding such activity is to look for anomalous behavior. Investigating anomalous behavior requires significant time and resources. Collecting

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Educational Data Mining Using Base (Individual) and Ensemble Learning Approaches to Predict the Perf paradigms, as these learning ensemble methods are commonly more precise than individual classifiers. Therefore, among diverse ensemble techniques, investigators have experienced a widespread learning classifier viz. bagging to forecast the performance of students. As exploitation of ensemble approa

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Global Feature Representation Using Squeeze, Excite, and Aggregation Networks (SEANet)ng a residual mapping rather than directly fit input to output. Subsequent to ResNet, Squeeze and Excitation Network (SENet) introduced a squeeze and excitation block (SE block) on every residual mapping of ResNet to improve its performance. The SE block quantifies the importance of each feature map

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Palmprint Biometric Data Analysis for Gender Classification Using Binarized Statistical Image Featurbehaviometrics system is destitute, as very few operational systems are deployed. In contrast, physiometrics systems seems significant and are used more due to its individuality and permanence features such as iris, face, fingerprint, and palmprint traits are well used physiometrics modalities. In t