Dongyue Engineering and Fabricators pioneers sustainable building solutions, offering advanced AAC plants and automated ...

According to IIM Kozhikode, as many as 12 candidates have scored 100 percentiles. The CAT official website 2025 is ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

This essay is a tribute to the McCabe–Thiele method, which was first published 100 years ago in this journal. We argue that the McCabe–Thiele method has become an emblem of chemical engineering, as it ...

Abstract: Uplift modeling is a machine learning technique for estimating treatment effects in causal inference problems, where feature selection is crucial for reducing overfitting and computational ...

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1 Department of Engineering and Technology, International Training Faculty, Thai Nguyen University of Technology, Thai Nguyen, Vietnam 2 Department of Mechanical Engineering, TUETECH University, Thai ...

Click the blue text hyperlinks below to view solution code. Through advanced feature selection, we reduced required EEG feature data by 95%, enabling lightweight, high-sensitivity deployment for ...

Enterprise software development has seen several revolutions, which began with the big bang waterfall approach of project delivery and progressed to agile methodologies. Then came the “shift-left” ...