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Keyword: l2An Ensemble of Voting- based Deep Learning Models with Regularization Functions for Sleep Stage Classification
Sleep stage performs a vital role in people’s daily lives in the detection of sleep-related diseases. Conventional automated sleep stage classifier models are not efficient due to the complexity linked to the design of mathematical models and extraction of hand-engineering features. Further, quick oscillations amongst sleep stages frequently lead to indistinct feature extraction, which might…
Read MoreA Study on the Tool Wear in Milling Process of the Gleason Spiral Bevel Gear
In this paper, the investigated results on tool wear in milling process of a Gleason spiral bevel gear was investigated. The CVD Ti (C, N)-Al2O3-TiN coated carbide inserts were used in the experimental process. The cutting inserts clamped on the tool head of Gleason tool head system. The workpiece material that was used in this…
Read MoreNonlinear \(\ell_{2,p}\)-norm based PCA for Anomaly Network Detection
Intrusion detection systems are well known for their ability to detect internal and external intrusions, it usually recognizes intrusions through learning the normal behaviour of users or the normal traffic of activities in the network. So, if any suspicious activity or behaviour is detected, it informs the users of the network. Nonetheless, intrusion detection system…
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