Validation of a data-driven motion-compensated PET brain image reconstruction algorithm in clinical patients using four radiotracers by Ole L. Munk, Anders B. Rodell, Patricia B. Danielsen, Josefine R. Madsen, Mie T. Sørensen, Niels Okkels, Jacob Horsager, Katrine B. Andersen, Per Borghammer, Joel Aanerud, Judson Jones, Inki Hong, Sven Zuehlsdorff

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Characteristics of R2019 Processing of MODIS Sea Surface Temperature at High Latitudes by Chong Jia, Peter J. Minnett, Malgorzata Szczodrak

“…However, as surface temperature retrieval algorithms in the infrared (IR) part of the electromagnetic spectrum are designed to compensate for atmospheric effects mainly due to water vapor, MODIS SST_skin retrievals have larger uncertainties at high latitudes where the atmosphere is very dry and cold, which is an extreme in the distribution of global conditions. …”
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Prediction of the Effect of Polymer Membrane Composition in a Dry Air Humidification Process via Neural Network Modeling by M. Fakhroleslam, A. Samimi, S.A. Mousavi, R. Rezaei

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Design Optimization of a Composite Using Genetic Algorithms for the Manufacturing of a Single-Seater Race Car by Ioannis Tsormpatzoudis, Dimitriοs A. Dragatogiannis, Aimilios Sideridis, Efstathios E. Theotokoglou

“…While conventional chassis structures predominantly utilize metals, achieving further mass reduction and enhanced rigidity necessitates the adoption of composite sandwich materials, typically comprising carbon fiber-reinforced polymer (C.F.R.P.) laminate skins bonded to an aluminum honeycomb core. …”
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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

“…The use of multimodal data and machine learning (ML) algorithms could overcome these challenges. 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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Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms by Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu

“…Herein, the LSBoost model based on the integrated learning algorithm presented the best prediction performance for friction coefficients and wear rates, with R 2 of 0.9219 and 0.9243, respectively. …”
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Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method by Arun Ramaveerapathiran, R. Muniraj, T. Jarin, S.R. Boselin Prabhu, M. Willjuice Iruthayarajan

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An optimized proportional resonant current controller based genetic algorithm for enhancing shunt active power filter performance by Behnam Amini, Hasan Rastegar, Mohammad Pichan

“…In general, the goal is to achieve better and more appropriate performance to reduce harmonic disturbances and create a robust, faster, more accurate, flexible, stable, and optimal performance of these systems in detecting and generating compensation signals. The simulations have been done in MATLAB/SIMULINK, and also the experimental tests of this device have been done and validated in a real DSP-based SAPF. …”
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Mixed Gas Detection and Temperature Compensation Based on Photoacoustic Spectroscopy by Sun Chao, Hu Runze, Liu Niansong, Ding Jianjun

“…In response to address issues such as difficulties in judging data for classification and recognizing gas components with low accuracy, a KNN-SVM algorithm has been proposed. The algorithm primarily reclassifies ambiguous data that are close to the hyperplane but do not have a clear affiliation, capturing data characteristics more comprehensively. …”
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Minimal Mass and Maximal Buckling Load of Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure by Mahsa Soheil Shamaee, Ahmad Reza Ghasemi

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Algorithmization of the problem of videoscopic evaluation of the steel ropes state by Panfilov A.V., Yusupov A.R., Gavrikov M.M., Sinetsky R.M.

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Bioregionalization analyses with the bioregion R package by Pierre Denelle, Boris Leroy, Maxime Lenormand

“…The recent emergence of global databases, improvements in computational power and the development of clustering algorithms coming from the network theory have led to several major updates of the bioregionalizations of many taxa. …”
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Changes in the granulometric composition of a product overgranulated by balling with the use of "fattening" technology by Yu. A. Taran, R. V. Morozov, A. V. Taran, A. L. Taran

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Optimal Allocation of DG and DSTATCOM in Radial Distribution System Using Cuckoo Search Optimization Algorithm by T. Yuvaraj, K. Ravi, K. R. Devabalaji

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Optimizing the core loading pattern and fuel composition in a hexagonal small modular nuclear reactor via ANN-PSO approach by G.R. Ansarifar, M.R. Karimi, H. Zayermohammadi Rishehri

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Fishery Web Service Composition Method Based on Ontology by Qing-mei YU, Lan WANG, Dong-mei HUANG

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lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression by Sean K. Maden, Louise A. Huuki-Myers, Sang Ho Kwon, Leonardo Collado-Torres, Kristen R. Maynard, Stephanie C. Hicks

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A Short-Term Solar Photovoltaic Power Optimized Prediction Interval Model Based on FOS-ELM Algorithm by G. Ramkumar, Satyajeet Sahoo, T. M. Amirthalakshmi, S. Ramesh, R. Thandaiah Prabu, Kasipandian Kasirajan, Antony V. Samrot, A. Ranjith

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Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms by R. Reena Roy, Leninisha Shanmugam, A. Vinothini, Nirmala Venkatachalam, G. Sumathy, Bhavadharini Murugeshan, P. Mercy Rajaselvi Beaulah, Gizachew Assefa Kerga

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The unresolved struggle of 16S rRNA amplicon sequencing: a benchmarking analysis of clustering and denoising methods by Mohamed Fares, Engy K. Tharwat, Ilse Cleenwerck, Pieter Monsieurs, Rob Van Houdt, Peter Vandamme, Mohamed El-Hadidi, Mohamed Mysara

“…Numerous algorithms have been developed to eliminate these errors and consolidate the output into distance-based Operational Taxonomic Units (OTUs) or denoising-based Amplicon Sequence Variants (ASVs). …”
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