In this article, we present the statistical analysis of data from inexpensive sensors. We also present the performance of machine learning algorithms when used for automatic calibration of such ...

This algorithm can be used for any adaptive filtering application where RLS-DCD would be used by simply altering the data structure and related matrix and vector update functions. The benefits of ...

Both issues cause multiple local maxima on the power-voltage curve, often trapping conventional maximum power point tracking (MPPT) methods in local maxima and suboptimal energy harvesting. To address ...

This paper presents a novel algorithm for real-time data acquisition, processing, and visualization of 3D point cloud data generated by the VLP-32C LiDAR sensor. The proposed method efficiently ...

The large-scale, high-dimensionality of datasets poses major obstacles to effective and precise data clustering in the field of big data analytics. This work focuses on a well-known technique for ...

Accurate 3D modelling of grapevines is crucial for precision viticulture, particularly for informed pruning decisions and automated management techniques. However, the intricate structure of ...

This research study employed machine learning algorithm in This research study employed a machine learning algorithm in predicting student academic performance in the Data Structures and Algorithm ...

Extracting geometric edges from unstructured point clouds remains a significant challenge, particularly in thin-walled structures that are commonly found in everyday objects. Traditional geometric ...

With the widespread application of image recognition technology, the commercial application value of image denoising is gradually increasing. To optimize the performance of non local mean image ...