Optimized machine learning mechanism for big data healthcare system to predict disease risk factor by Venkata Nagaraju Thatha, Silpa Chalichalamala, Udayaraju Pamula, D. Pramodh Krishna, Manjunath Chinthakunta, Srihari Varma Mantena, Shariff Vahiduddin, Ramesh Vatambeti

“…To overcome this, a novel Deep Red Fox belief prediction system (DRFBPS) has been introduced and implemented in Python software. Initially, the data was collected and preprocessed to enhance its quality, and the relevant features were selected using red fox optimization. …”
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A Study on the Filtering Method of Natural Gamma Energy Spectrum Logging Data for Low-Count Features by ZHU Qian, YU Huawei, GE Yunlong, YUE Aizhong, TONG Maosong, CHEN Jinhong, YANG Shu

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Formalization for Subsequent Computer Processing of Kara Sea Coastline Data by Daria Bogatova, Stanislav Ogorodov

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PvaPy streaming framework for real-time data processing by Siniša Veseli, John Hammonds, Steven Henke, Hannah Parraga, Barbara Frosik, Nicholas Schwarz

“…We also illustrate the framework's performance in terms of achievable data-processing rates for various detector image sizes.…”
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Research on distributed data acquisition software for high frame rate area detectors by SHANG Kunlin, LI Zhengheng, JU Xudong, ZHOU Yue, HUAI Ping, LIU Zhi

“…For the real-time receiving and processing of tens of GB·s-1 raw data, traditional single-machine systems are difficult to cope with.PurposeThis study aims to propose a multi-node distributed data acquisition and processing software architecture for high frame rate area detector at imaging-based experimental stations of SHINE.MethodsFirstly, the performance of different network libraries was investigated, and the synchronous transmission method combined with CPU thread binding was found to have the best single-thread data receiving performance. …”
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A Resource-Efficient Time-Domain-Based Algorithm to Estimate Respiration Rate From Single-Lead ECG Signal by G. B. Krishnapriya, R. N. Ponnalagu, Sanket Goel

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Research on Pre-stored Data Processing Technology for Locomotive ATO System by Kai LI, Tiebing LI, Jiabo XIAO, Yong LIU, Fan JIANG, Qiao NING, Jiahuan ZHANG

“…The accuracy rate of pre-stored data output was 100%, which had been verified in the locomotive ATO system application of multiple railway companies. …”
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Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies by Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha

“…Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep learning approaches to improve predictive performance using clinical and biomarker-based data which was scaled through two popular techniques: Min-Max scaling and Z-Score normalization. …”
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Iranian EFL Raters’ Cognitive Processes in Rating IELTS Speaking Tasks: The Effect of Expertise by Rajab Esfandiari, Payam Noor

“…Variations in rating the EFL learners’ oral performance are often attributed to the variations in the raters’ cognitive processes. …”
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An Explainable Framework Integrating Local Biplots and Gaussian Processes for Unemployment Rate Prediction in Colombia by Diego Armando Pérez-Rosero, Diego Alejandro Manrique-Cabezas, Jennifer Carolina Triana-Martinez, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez

“…However, effective unemployment rate prediction requires addressing the non-stationary and non-linear characteristics of labor data. …”
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Transmit Antenna Selection for Sum-Rate Maximization with Multiclass Scalable Gaussian Process Classification by Xiaofeng Yang

“…This paper proposed a low-cost antenna selection method for system sum-rate maximization based on multiclass scalable Gaussian process classification (SGPC) which is capable to perform analytical inference and is scalable for massive data. …”
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Overcoming the pitfalls in employee performance evaluation: An application of ratings mode of the Analytic Hierarchy Process by Rafikul Islam, Nagendran Periaiah

“…The purpose of the present paper is to show how the Ratings mode of the Analytic Hierarchy Process (AHP) can be applied to evaluate employee performance using objective as well as subjective criteria. …”
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Epidemical process and aetiological structure of salmonelloses in the Zaporizhzhia region by N. M. Polishchuck, N. L. Kolycheva, A. S. Dehen, O. V. Melnikova, N. P. Kryazheva

“…Notably, the incidence rates for 2020 and 2021 significantly exceeded the national averages in Ukraine, while in 2022, there was a notable decrease of almost 2 times in the region’s salmonellosis incidence rates. …”
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Evaluation of data processing pipelines on real-world electronic health records data for the purpose of measuring patient similarity. by Maria Pikoula, Constantinos Kallis, Sephora Madjiheurem, Jennifer K Quint, Mona Bafadhel, Spiros Denaxas

“…We used four different data processing pipelines to construct lower dimensional patient representations from which we calculated patient similarity scores. …”
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Real-Time System Prediction for Heart Rate Using Deep Learning and Stream Processing Platforms by Abdullah Alharbi, Wael Alosaimi, Radhya Sahal, Hager Saleh

“…Rapid technological advancement (e.g., artificial intelligence and stream processing technologies) allows healthcare sectors to consolidate and analyze massive health-based data to discover risks by making more accurate predictions. …”
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Interactive Algorithms in Complex Image Processing Systems Based on Big Data by Yuanjin Xu, Xiaojun Liu

“…The experimental results show that the interactive algorithm in the complex image processing system in this paper optimizes the image extraction rate and improves the antinoise performance of the segmentation and the segmentation effect of the deep depression region.…”
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Data Fusion and Processing Technology of Wireless Sensor Network for Privacy Protection by Lusheng Shi, Kai Li, Huibo Zhu

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Disassembly of Distribution Transformers Based on Multimodal Data Recognition and Collaborative Processing by Li Wang, Feng Chen, Yujia Hu, Zhiyao Zheng, Kexin Zhang

“…This paper presents a transformer disassembly system designed for power systems, leveraging multimodal perception and collaborative processing. By integrating 2D images and 3D point cloud data captured by RGB-D cameras, the system enables the precise recognition and efficient disassembly of transformer covers and internal components through multimodal data fusion, deep learning models, and control technologies. …”
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TECHNIQUE OF PROCESSING OF VIBRATION MONITORING DATA, RECEIVED BY THE USE OF MICROELECTROMECHANICAL SYSTEMS by B. A. Chichkov

“…Will the array dimension received during data verification be an obstacle to the operational processing? …”
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The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by Bo Yu, Zheng Wang, Shangke Liu, Xiaomin Liu, Ruixin Gou

“…To detect false data injection attacks (FDIAs) in power grid reconstruction and solve the problem of high data dimension and bad abnormal data processing in the power system, thereby achieving safe and stable operation of the power grid system, this study introduces machine learning methods to explore the detection of FDIAs. …”
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