Excel Data

To generate the training and validation datasets, the fullwave electromagnetic solver FEKO is utilized. The phase of the reference antenna (Antenna 1) is fixed at 0°, while the phases of the other three antennas are varied in 30° steps within the range [0◦ , 360◦ ]. This results in 13×13×13 = 2197 distinct phase combinations. For each combination, the farfield radiation intensities are extracted on the XOY, YOZ, and XOZ planes, yielding a total of 2197 × 3 data samples. For testing, 343 new phase combinations are generated within the interval [15◦ , 195◦ ] using 30° steps (i.e., 7×7×7).

To generate the training and validation datasets, the fullwave electromagnetic solver FEKO is utilized. The phase of the reference antenna (Antenna 1) is fixed at 0°, while the phases of the other three antennas are varied in 30° steps within the range [0◦ , 360◦ ]. This results in 13×13×13 = 2197 distinct phase combinations. For each combination, the farfield radiation intensities are extracted on the XOY, YOZ, and XOZ planes, yielding a total of 2197 × 3 data samples. For testing, 343 new phase combinations are generated within the interval [15◦ , 195◦ ] using 30° steps (i.e., 7×7×7).

Spray-cooled shells of electric arc furnaces (EAF) experience dynamic and intense thermal fluctuations that, if undetected, can lead to significant operational challenges, including structural damage and compromised safety. In this study, we demonstrate the use of fiber optic sensors (FOS) for real-time, distributed thermal monitoring of an EAF shell wall.

This dataset proposes a new energy vehicle procurement decision-making framework that integrates data mining and social network group decision-making in an intuitive fuzzy environment. We use web crawler technology and social media public opinion analysis to capture and analyze text information about the performance of NEVs. 87,673 online blog posts about NEVs from December 1 to 31, 2024, were crawled from the API provided by the Sina Weibo Open Platform (https://weibo.com).

The data in this dataset is the experimental data related to the article named Privacy-preserving approach to edge federated learning based on blockchain and fully homomorphic encryption , which contains data such as running time comparison, communication spend comparison, encryption and decryption time comparison, accuracy comparison, etc.

Evaluation of human gait through smartphone-based pose estimation algorithms provides an attractive alternative to costly lab-bound instrumented assessment and offers a paradigm shift with real time gait capture for clinical assessment. Systems based on smart phones, such as OpenPose and BlazePose have demonstrated potential for virtual motion assessment but still lack the accuracy and repeatability standards required for clinical viability. Seq2seq architecture offers an alternative solution to conventional deep learning techniques for predicting joint kinematics during gait.

The data is uploaded according to the requirements of IEEE DataPort. The file is named 'data of robot control experiments.zip', and it contains two folders. The folder named 'Data of Section IV-B' is the experimental data in Section IV-B, and the folder named 'Data of Appendix A' is the experimental data in Appendix A.

A spectral signatures database of major crops in the East Mediterranean basin was created to support remote sensing applications specifically satellite hyperspectral and multispectral image classification. Moreover, it can be used to compute many important hyperspectral vegetation indices such as:

Atmospherically Resistant Vegetation Index (ARVI)

Modified Chlorophyll Absorption Ratio Index (MCARI)

Modified Chlorophyll Absorption Ratio Index - Improved (MCARI2)

Modified Red Edge Normalized Difference Vegetation Index (MRENDVI)

We submitted the paper Automatic Control System for Precise Intravenous Therapy using Computer Vision-Based on Deep Learning and provide experimental data related to this.

The purpose of this paper is to improve the accuracy of intravenous (IV) infusion using artificial intelligence and feedback loops to prevent errors in the process of administering IV Therapy, and we applied the system we developed to achieve the goal.

Therefore, we applied the system sequentially while creating a prototype and provide the data obtained through experiments.

1.The spectrum of the dataset is obtained by applying force to the tactile sensor based on Chirped Bragg gratings.

2.The applied force ranges from 0N to 10N on the sensing pad of 4cm×4cm.

3.The folder name (x, y) represents the specific coordinates of the point at which the force is applied, and the xN name of the subfolder represents the xN force applied at that point.

4.A total of 120 spectral data were collected in each applied force state.

5.The first column of each spectrum is wavelength and the second column is intensity.