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 ...

The 6th generation mobile communication system (6G) is expected to realize ultrafast and high-capacity communications with a peak data rate of more than 100 Gbps and to contribute to the advancement ...

Influence of Radiative Transfer Model-Based Atmospheric Correction and Dynamic Tie Points on Sea Ice Concentration Retrieval From Near-90 GHz Algorithm With FY-3D MWRI Data ...

The early detection and precise diagnosis of gastrointestinal diseases, particularly gastric cancer, play a vital role in improving patient survival rates and treatment outcomes. However, diagnosing ...

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 ...

Powerful machine-learning algorithms, including AlphaFold and RoseTTAFold, cannot provide realistic representations of these 'disordered' and 'chaotic' protein regions as a whole. This is because ...

The mechanism of filtering abnormal data and determining thresholds through algorithms has been investigated in principle. The comparative analysis of the measured data employing the extended Kalman ...

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 ...

New Orleans Saints quarterbacks Spencer Rattler and Tyler Shough faced plenty of pressure during their time in Southern California ...

The obtained point cloud data is processed using 3D reconstruction techniques to create virtual vehicle models. We apply the Iterative Closest Point (ICP) algorithm and Singular Value Decomposition ...