Photonic Bayesian Neural Networks: Leveraging Programmable Noise for Robust and Uncertainty‐Aware Computing by Yangyang Zhuge, Zhihao Ren, Zian Xiao, Zixuan Zhang, Xinmiao Liu, Weixin Liu, Siyu Xu, Chong Pei Ho, Nanxi Li, Chengkuo Lee

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TransXLT: A novel ZTD prediction method with SASR-based data reconstruction by Shicheng Xie, Xuexiang Yu, Jiajia Yuan, Xu Yang, Mingfei Zhu, Yuchen Han, Min Wei, Zhongchen Guo

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Experimental and theoretical study of used GFRP I-profile composite columns by Ata El-Kariem Shoeib, Mohammed Salem, Alaa Sheriff, Mohammed Abdel-Rahman M. Khalil

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Developing Laterality-Specific Computable Phenotypes from Electronic Health Record Data, Employing Treatment-Warranted Diabetic Macular Edema as a Use Case by Kaili Ding, MBBS, MS, Tracy Z. Lang, BS, Roberta McKean-Cowdin, PhD, Hossein Ameri, MD, PhD, Narsing A. Rao, MD, Brian C. Toy, MD

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Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles by Zijia MO, Zhipeng GAO, Yang YANG, Yijing LIN, Shan SUN, Chen ZHAO

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PyBrook—A Python framework for processing and visualising real-time data by Michał Rokita, Mateusz Modrzejewski, Przemysław Rokita

“…In this paper, we present PyBrook - an original real-time cloud computing framework for the Internet of Things. PyBrook enables users to define complex data processing models declaratively, using the Python programming language. …”
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COMPUTATIONAL AND ANALYTICAL MODELS FOR EQUATIONS OF PARABOLIC TYPE WITH APPROXIMATE DATA ON THE BASIS OF METHODS OF APPLIED HARMONIC ANALYSIS AND VARIATIONAL METHOD OF WEIGHTED RESIDUALS by Igor Eduardovich Naats, Victoria Igorevna Naats, Roman Andreyevich Ryskalenko

“…It is assumed that the mathematical model requires attracting approximately given initial data or semiempirical functions for their determination. …”
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Data on the effect of wood-based panel-emitted volatile organic compounds on miceMendeley Data by Inho Hwang, Kangmin Kim, Sun-Hwa Ryu, Changhwan Ahn, Xiang-Shun Cui, Eui-Bae Jeung

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Leanness Computation: Small Values and Special Graph Classes by David Coudert, Samuel Coulomb, Guillaume Ducoffe

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Role of Coronary Computed Tomography-angiography-based Coronary Artery Disease-reporting and Data System in Evaluation of Patients Presenting with Chest Pain by Mayukhi Upadhyay, Harpreet Singh, Gagandeep Singh Sethi, Gurkamal Kaur Toor

Subjects: “…coronary artery disease reporting and data system…”
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CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices by Kumar P. Mainali, Eric Slud

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Integrating Sensor Data, Laboratory Analysis, and Computer Vision in Machine Learning-Driven E-Nose Systems for Predicting Tomato Shelf Life by Julia Marie Senge, Florian Kaltenecker, Christian Krupitzer

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Effectiveness evaluation of combining SAR and multiple optical data on land cover mapping of a fragmented landscape in a cloud computing platform by Giovanni Romano, Giovanni Francesco Ricci, Francesco Gentile

“…This study aims to evaluate the effectiveness of Synthetic Aperture Radar (SAR) and multispectral optical data in land cover mapping using Google Earth Engine (GEE), a cloud computing platform allowing big geospatial data analysis. …”
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CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices. by Kumar P Mainali, Eric Slud

“…CooccurrenceAffinity is a practical and efficient R package with user-friendly functions for end-to-end analysis and plotting of co-occurrence data in various formats, making it possible to compute the recently developed metric of alpha MLE as well as its median and confidence intervals introduced in this paper. …”
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AI based data-driven point cloud optimization strategy in cloud computing framework for improving rendering performance of virtual city scenes by Cao Zhongda

“…Abstract With the development of cloud computing framework, the visualization of city scenes is shifting to the 3D domain. …”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…In this paper, we propose a framework that uses data-level approximate computing techniques, including by diverse sampling strategies, precision scaling, quantization, and feature selection methods, to evaluate the impact of these techniques on the computational efficiency and accuracy of KNN and SVM models. …”
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ASSESSMENT METHOD FOR INTRA-JOINT DISORDERS IN PATIENTS WITH ARTICULATION-OCCLUSIVE DISORDERS AND TMJ DYSFUNCTION BASED ON CONE-BEAM COMPUTED TOMOGRAPHY DATA by A.M. Proschenko

“… This article presents a comparison of cone-beam computed tomography (CBCT) results and joint space measurements in patients with and without occlusal-articulation disorders and TMJ dysfunction. …”
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Dataset of subjective human responses and objective metrics related to motion sickness collected and computed on a winter research voyageSUNScholarData by Nicole Catherine Taylor, Anriëtte Bekker, Karel Kruger

“…The dataset contains the anonymised human responses to motion sickness and location, the computed motion sickness dose values and down-sampled acceleration measurements for Winter Cruise, which is the first dataset available for data acquired and processed through a shipboard human cyber-physical system. …”
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High-resolution surface wave dispersion spectrum computation based on iterative threshold shrinkage algorithm and its application to irregularly sampled data by Luo Li, Luo Li, Xuri Huang, Xuri Huang, Weiping Cao, Hai Yao, Hai Yao, Yungui Xu, Yungui Xu, Huatao Zhao, Huatao Zhao, Bin Wu

“…This method can also be applied to compute surface wave dispersion spectrum for irregularly sampled data. …”
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ASSESSMENT OF LEFT VENTRICULAR DYSFUNCTION IN PATIENTS WITH CORONARY HEART DISEASE DURING MINIMALLY INVASIVE SURGERY ACCORDING TO LUNG COMPUTED TOMOGRAPHY DATA by B. A. Min’ko, I. V. Vologdina, P. L. Borodich, M. P. Krylova

“…Objective: to assess whether multislice computed tomography (MSCT) of the lung can be used to diagnose the early manifestations of heart failure in patients with coronary heart disease (CHD) during minimally invasive surgical interventions.Material and methods. …”
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