Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms by M. S. Aswathanrayan, N. Santhosh, Srikanth Holalu Venkataramana, Kurugundla Sunil Kumar, Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Sameer Algburi, Osamah J. Al-sareji, A. Bhowmik

“…To further validate the effectiveness of RSM, the results are compared with the performance of several advance machine learning algorithms, including linear regression, decision tree, and random forest. …”
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Domain adaptation of deep neural networks for tree part segmentation using synthetic forest trees by Mitch Bryson, Ahalya Ravendran, Celine Mercier, Tancred Frickey, Sadeepa Jayathunga, Grant Pearse, Robin J.L. Hartley

“…Supervised deep learning algorithms have recently achieved state-of-the-art performance in the classification, segmentation and analysis of 3D LiDAR point cloud data in a wide-range of applications and environments. …”
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The Field Attributes May not Accurately Predict the Need for Early Tracheostomy Tube Insertion in Severe TBI Patients: A New Insight With the Help of AI Algorithms by Adrina Habibzadeh, Sepehr Khademolhosseini, Reza Taheri, Amin Niakan, Saeed Tayebi Khorami, Hadis Ghasemi, HosseinAli Khalili

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3D Measurement of Particle Movement in a Silo Using Magnetic Positioning and Inertial Navigation Technologies by Hongyang Dai, Yiming Li, Shijie Wang, Ran Li, Hui Yang

“…However, owing to the need to manually set the initial value and other boundary conditions in the process of algorithm solution, the deviation between the measured results and actual values cannot be ignored. …”
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Precision in 3D: A Fast and Accurate Algorithm for Reproducible Motoneuron Structure and Protein Expression Analysis by Morgan Highlander, Shelby Ward, Bradley LeHoty, Teresa Garrett, Sherif Elbasiouny

“…Yet, neurodegenerative disease and aging research demands precise structural comparisons to elucidate mechanisms driving neuronal degeneration. To address this need, we developed a novel algorithm that automates repetitive and subjective IHC analysis tasks, enabling thorough, objective, blinded, order-agnostic, and reproducible 3D batch analysis. …”
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GIRH-Unet: Improved Residual Tobacco Segmentation Algorithm Based on GhostNetV3-Unet by Jianhua Ye, Yunda Zhang, Pan Li, Ze Guo

“…These factors contribute to the reduced accuracy and robustness of visual detection technologies based on segmentation algorithms within tobacco intelligent production systems, highlighting the need for a targeted segmentation model. …”
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3D spatial evolutionary particle swarm algorithm based emergency communication spatial deployment optimization by Yumin Chen, Xicheng Tan, Jinguang Jiang, Xiaoliang Meng, Zeenat Khadim Hussain, Jianguang Tu, Huaming Wang, You Wan, Zongyao Sha

“…This paper proposes an ANET nodes spatial optimization deployment algorithm based on 3D Spatial Evolutionary Particle Swarm Optimization (3DSEPSO). …”
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Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments by Alberto del Rio, David Jimenez, Javier Serrano

“…An evaluation of the environment is needed in terms of algorithm selection, based on specific application needs, balancing between training time and stability. …”
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Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease by Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Ervin Gubin Moung

“…Traditional diagnostic approaches can be invasive, costly, and time-consuming, necessitating the need for more efficient alternatives. This aimed to optimize the Light Gradient-Boosting Machine (LightGBM) algorithm to enhance its performance and accuracy in the early detection of CHD, providing a reliable, cost-effective, and non-invasive diagnostic tool. …”
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Three-step surgical management algorithm for annular rupture in transcatheter aortic valve replacementCentral MessagePerspective by Kizuku Yamashita, MD, PhD, Kazuo Shimamura, MD, PhD, Koichi Maeda, MD, PhD, Ai Kawamura, MD, PhD, Masaki Taira, MD, PhD, Daisuke Yoshioka, MD, PhD, Shigeru Miyagawa, MD, PhD

“…However, owing to its rare incidence, the optimal treatment algorithm has not been established. Thus, we evaluated the feasibility and effectiveness of a 3-step algorithm to treat annulus rupture. …”
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Urgent Conservation Actions Are Needed for Qinling Lenok Brachymystax lenok tsinlingensis Li, 1966: Enlightenment From Model Simulations by Yuebing Zhou, Xianghong Dong, Tao Ju, Lei Gan, Zhenlu Wang, Yuxi Lian, Peng Zhang, Xiongfeng Bai, Qing Liu, Shuhai Zhang, Jiyuan Liu, Tao Xiang, Lei Shi, Haibo Jiang, Jian Shao, Miao An

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Optimization and Verification of One-dimensional Three-field Model for Transient Analysis of Pressurized Water Reactor by YUAN Leqi1, LI Zanwang1, 2, FAN Jie1, 3, GOU Junli1, SHAN Jianqiang1

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Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets by Madhavan K R, Hasan Kurban, Oguzhan M. Kulekci, Mehmet M. Dalkilic

“…Although space partitioning data structures, especially k-d trees and ball-trees, have improved performance in larger data, they remain inadequate when data is also high-dimensional. …”
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An Unambiguous Super-Resolution Algorithm for TDM-MIMO-SAR 3D Imaging Applications on Fast-Moving Platforms by Sheng Guan, Mingming Wang, Xingdong Liang, Yunlong Liu, Yanlei Li

“…Therefore, it is of vital importance to develop an algorithm which can achieve unambiguous TDM-MIMO-SAR 3D imaging even when the PRI is low. …”
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A Study on Deep Learning Performances of Identifying Images’ Emotion: Comparing Performances of Three Algorithms to Analyze Fashion Items by Gaeun Lee, Seoyun Yi, Jongtae Lee

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RETRACTED: Comparative analysis of compression algorithms for four-dimensional light fields by R. G. Bolbakov, V. A. Mordvinov, A. D. Makarevich

“…A comparison of the results obtained shows the need to use algorithms from the video compression family (XVC, AV1) on installations with a long baseline (mounted on camera stands). …”
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Assessing the performance of a point-of-need diagnostic algorithm in rapid detection of peripheral lymph node tuberculosis (Mobile-TB-Lab): a diagnostic evaluation study protocol by Dinesh Mondal, Lydia Nakiyingi, Elizabeth Ekirapa Kiracho, Kevin Cassar, Arianna Ceruti, Julius Boniface Okuni, Manfred Weidmann, Bishwajit Bhowmik, Prakash Ghosh, Shaheda Anwar, Martin Siegel, Nishad Tasnim Mithila, Sophie Elisabeth Müller, Farhana Rahman Luba, Rea Maja Kobialka, Bishnu Pada Dey, Syed Nazin Morshed, Cemre Arpa, Md Arko Ayon Chowdhury, Ahmed Abu Saleh, Ahmed Abd El Wahed, Sophie Schneitler

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Approach to Macrodactyly: A Case Report and Diagnostic Algorithm for Syndromic and Isolated Forms by Ioannis Kyriakidis, Iordanis Pelagiadis, Nikolaos Katzilakis, Eftichia Stiakaki

“…Phenotypes associated with PI3K/AKT/mTOR pathway mutations (including PIK3CA-related overgrowth spectrum PROS) are described. …”
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Accurate 3D LiDAR SLAM System Based on Hash Multi-Scale Map and Bidirectional Matching Algorithm by Tingchen Ma, Lingxin Kong, Yongsheng Ou, Sheng Xu

“…Secondly, considering the one-to-many (1 <inline-formula><math display="inline"><semantics><mrow><mo>×</mo><mspace width="3.33333pt"></mspace><msup><mn>10</mn><mn>3</mn></msup></mrow></semantics></math></inline-formula> order of magnitude) high computational data association problem caused by maintaining multi-scale voxel landmarks simultaneously in the H-MS map, we further propose a bidirectional matching algorithm (MSBM). …”
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An exploration-enhanced hybrid algorithm based on regularity evolution for multi-objective multi-UAV 3-D path planning by Zhenzu Bai, Haiyin Zhou, Juhui Wei, Xuanying Zhou, Yida Ning, Jiongqi Wang

“…Therefore, this study introduces a bi-objective, three-dimensional path planning model specifically designed for UAVs. …”
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