"Self-driving" or "autonomous" labs are an emerging technology in which artificial intelligence guides the discovery process, ...
The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Abstract: This article proposes design techniques for partially calibrated sparse linear subarrays and algorithms to perform direction-of-arrival (DOA) estimation. First, we introduce array ...
Abstract: This paper presents a thorough exploration of time series analysis within the broader landscape of machine learning and deep learning. From fundamental principles such as linear modeling to ...
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
This repository contains solution code files for the "Data Structure and Algorithm - I Lab" course as provided on the CodeTantra platform by Noida Institute of Engineering and Technology. The files ...
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