Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition by Shaikh Yassir Yousouf Jewan, Deepak Gautam, Debbie Sparkes, Ajit Singh, Lawal Billa, Alessia Cogato, Erik Murchie, Vinay Pagay

“…Our study aimed to assess the potential of multimodal data (hyperspectral vegetation indices (VIs), thermal indices, and canopy state variables) and ML algorithms to predict grapevine yield components and berry composition parameters. …”
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Big data-based reference centiles for body composition in Korean children and adolescents: a cross-sectional study by Dohyun Chun, Seo Jung Kim, Junghwan Suh, Jihun Kim

“…Conclusions This study produced age- and sex-specific reference percentiles for body composition indices in Korean children and adolescents using extensive biometric data.…”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…The system supports the use of two NDE methods, Acoustic Emission (AE) and Digital Image Correlation (DIC), providing interactive and intuitive views for observing composite material damage features. In addition, the system features a fusion analysis approach and a view that combines AE and DIC methods, enabling users to explore the correlations and trends in multimodal data generated during the material damage process. …”
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A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting by Leeko Lee, Andrew Reynolds, Briann Dorin, Adam Shemrock

“…For yield and berry composition data collection, representative vines from the vineyard block were selected and geolocated, and the same vines were surveyed for remote sensing data collection by the multispectral and thermal sensors in the RPAS in 2015 and 2016. …”
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Predictive machine learning and multimodal data to develop highly sensitive, composite biomarkers of disease progression in Friedreich ataxia by Susmita Saha, Louise A. Corben, Louisa P. Selvadurai, Ian H. Harding, Nellie Georgiou-Karistianis

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Computing the Commonalities of Clusters in Resource Description Framework: Computational Aspects by Simona Colucci, Francesco Maria Donini, Eugenio Di Sciascio

“…For clusters of data expressed in a Resource Description Framework (<span style="font-variant: small-caps;">RDF</span>), we extend and implement an optimized, previously proposed, logic-based methodology that computes an <span style="font-variant: small-caps;">RDF</span> structure—called a Common Subsumer—describing the commonalities among all resources. …”
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Enhancing Manufacturing Precision: Leveraging Motor Currents Data of Computer Numerical Control Machines for Geometrical Accuracy Prediction Through Machine Learning by Lucijano Berus, Jernej Hernavs, David Potocnik, Kristijan Sket, Mirko Ficko

“…In this study, we propose a novel indirect measurement method that utilizes motor current data from the controller of a Computer Numerical Control (CNC) machine in combination with machine learning algorithms to predict the geometric accuracy of machined parts in real-time. …”
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Research on performance optimization for large-scale sparse computation over many-core heterogenous supercomputer by Zhengding HU, Wei XUE

Subjects: “…big data application;sparse problem;high performance computation;performance optimization…”
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Advancing cloud security: Unveiling the protective potential of homomorphic secret sharing in secure cloud computing by Sijjad Ali, Shuaib Ahmed Wadho, Aun Yichiet, Ming Lee Gan, Chen Kang Lee

Subjects: “…Cloud computing…”
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Cloud Data Center Based on SDN by Shaoyang Rao, Yunqing Chen, Ming Feng

“…Along with rapid growth of mobile internet, cloud computing and other new services, on the one hand, the traditional IDC is being transformed to cloud computing data center, on the other hand, more and more applications and data are coming to be carried on the cloud, which makes the scale of cloud data centers substantially increase, while the traditional network architecture and the technologies has been difficult to adapt to the development of the cloud data center. …”
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High resolution building facade dataset for facade elements parsingMendeley Data by Shuchang Xu, Fan Wu, Junjie Cheng, Wenzhen Yang

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Impact of Ants on the Order Composition of Canopy Arthropod Communities in Temperate and Tropical Forests by Andreas Floren, Tobias Müller

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AI-Based Data Analysis of Contaminant Transportation with Regression of Oxygen and Nutrients Measurement by Hasib Khan, Jehad Alzabut, Mohamed Tounsi, Dalal Khalid Almutairi

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Galaxy Morphology Classification via Deep Semisupervised Learning with Limited Labeled Data by Zhijian Luo, Jianzhen Chen, Zhu Chen, Shaohua Zhang, Liping Fu, Hubing Xiao, Chenggang Shu

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Data Augmentation for Improving Convergence Speed in Federated Sequential Recommendation System by Donghoon Lee, Hyunsouk Cho

Subjects: “…Data mining…”
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Copula Functions for Spatial Survival Data Analysis by Mohsen Mohammadzadeh, Nasrin Ebrahimi, Giuliana Cortese

Subjects: “…spatial survival data…”
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Using Grayscale Photos to Introduce High School Statistics Teachers to Reasoning with Digital Image Data by Anna Fergusson, Maxine Pfannkuch

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An Integrated Method for High-Dimensional Imbalanced Assembly Quality Prediction Supported by Edge Computing by Yixiong Feng, Tianyue Wang, Bingtao Hu, Chen Yang, Jianrong Tan

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Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing Dataset... by Salvatore Romano, Lekë Pepkolaj, Mattia Fragola, Dalila Peccarrisi, Jostina Dhimitri, Alessandro Buccolieri, Adelfia Talà, Pietro Alifano, Gianluca Quarta, Lucio Calcagnile

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Enhancing offloading with cybersecurity in edge computing for digital twin‐driven patient monitoring by Ahmed K. Jameil, Hamed Al‐Raweshidy

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