A detection algorithm for small surface floating objects based on improved YOLOv5s by Xusheng YUE, Jun LI, Yaohong WANG, Penghao ZHU, Zhexing WANG, Xuanhao XU

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Multiscale Evaluation System for Cold Patch Asphalt Mixtures: Integrating Macro-Performance Tests and Meso-Structural CT Analysis by Wenbin Xie, Li Li, Runzhi Yang

“…This study develops a comprehensive evaluation framework combining macro-performance tests with X-ray computed tomography (CT)-based meso-structural analysis. …”
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Systematic Review of Image Segmentation Programs in Craniomaxillofacial Surgery by Khawla Rasheed, Auns Al-Neami, Haider Abbas

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Characterization of Pulmonary Sclerosing Pneumocytoma Assessed by 18F‐FDG PET/CT by Jie Xu, Xing Wan, Shudan Zhai, Shuai Yuan, Songyi Li, Wengui Xu, Mengran Fan, Lei Zhu

“…We found that the maximum diameter of the tumor is associated with an increase in FDG uptake in PSP, reflecting a potential correlation between lesion diameter and PET metabolic parameters, indicating a link between structural features and metabolic activity.…”
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Theoretical studies of increasing the efficiency of mass transfer of magnetite suspension based on changes in the hydrodynamic parameters of the decontamination process by A.Y. Kryvenko, O.V. Bulakh, T.A. Oliinyk, S.A. Ruban

“…The presented mathematical models can vary the necessary parameters of the magnetic desolation process, taking into account the design features of the device itself and the power supply device, in order to obtain the final product of a given quality.…”
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Decoding growth parameters of small pelagics: a critical examination of model effectiveness with a focus on the European anchovy by Margarita Rincón Hidalgo, Margarita Rincón Hidalgo, MariAngeles Gamaza, MaJosé Zúñiga, Fernando Ramos, Jorge Tornero

“…The results address a significant gap in existing integrated models used for scientific advice, which often do not have the “random effects on parameters” feature. Notably, this framework is widely applicable to other short-lived small pelagic species that typically exhibit a high data variability, offering a valuable solution for improving efficiency and robustness in fisheries management decision-making.…”
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Elucidating thermal phenomena of non-Newtonian experimental data based copper-alumina-ethylene glycol hybrid nanofluid in a cubic enclosure with central heated plate by machine lea... by Md. Mamun Molla, Md Farhad Hasan, Md. Mahadul Islam

“…The simulation was conducted through parallel computing techniques based on the Compute Unified Device Architecture (CUDA) C++ programming facilitated by NVIDIA GPU. …”
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Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak

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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Artificial intelligence-based software has been developed to reduce the number of missed or misdiagnosed lung nodules on computed tomography images. Objective  To assess the accuracy, clinical effectiveness and cost-effectiveness of using  software with artificial intelligence-derived algorithms to assist in the detection and analysis of lung nodules in computed tomography scans of the chest compared with unassisted reading. …”
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Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data by Hoon Jeong Lee, Arlene Chiu, Yida Lin, Sreyas Chintapalli, Serene Kamal, Eric Ji, Susanna M. Thon

“…The measurement system considers the spatial distribution of the materials parameters to gather and predict large amounts of data by treating an inhomogeneous device as a series of thousands of micro‐devices, a novel feature compared to existing solutions. …”
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The added value of quantitative contrast-enhanced CT parameters in distinguishing malignant from benign solid pulmonary nodules by Peng Yun, Zhencheng Zhan, Zijing Wu, Yutong Rao, Ke Sun, Lianggeng Gong

“…Abstract Purpose To explore the added value of quantitative parameters derived from routine chest contrast-enhanced computed tomography (CECT) in distinguishing malignant from benign solid pulmonary nodules (SPNs). …”
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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

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Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

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A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters by Hui Yu, Qiyue Mu, Zhi Wang, Yu Guo, Jing Zhao, Guangpu Wang, Qingsong Wang, Xianghong Meng, Xiaoman Dong, Shuo Wang, Jinglai Sun

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A Process Decision-Making Method for Planar Machining of Box-Type Components by Zhongkun Shi, Meifa Huang, Zhemin Tang, Zecheng Hu, Weihao Hu

“…Moreover, different designers utilize independent and heterogeneous Computer-Aided Process Planning (CAPP) systems, leading to uncertainties in process design and difficulties in sharing and transmitting process knowledge. …”
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Dynamical Analysis of Nonlocalized Wave Solutions of 2+1-Dimensional CBS and RLW Equation with the Impact of Fractionality and Free Parameters by Nur Hasan Mahmud Shahen, null Foyjonnesa, Md. Rafiqul Islam, Ahmet Bekir, M.M. Rahman

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Correlation Analysis Between 3D and Plane DAT Binding Parameters of 11C-CFT PET/CT and the Clinical Characteristics of Patients with Parkinson’s Disease by Xiaodong Wu, Ziyuan Li, Jing Gan, Feng Wei, Ping Wu, Sheng Liang, Yufei Ma, Lin Ding, Chuantao Zuo, Zhenguo Liu, Hui Wang, Yafu Yin

“…Clinical characteristics, including age, sex, and disease duration, as well as the modified Hoehn-Yahr (H-Y) scale, Unified Parkinson’s Disease Rating Scale (UPDRS) parts II and III (II-III), and Mini-Mental State Examination (MMSE) scores of PD patients during the corresponding time periods were collected. DAT binding parameters and their derived parameters based on plane and 3D images in the neostriatum were analyzed for consistency with plane and 3D parameters, and the correlation between DAT parameters and the clinical features of patients were assessed using SPSS software. …”
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Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

“…The inclusion of DEM-based auxiliary features and additional meteorological information improved the results. …”
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Experimental and theoretical investigation of the influence of tool paths and burnishing parameters on the quality of the burnished surface by magnetic assisted ball burnishing by Zsolt Kovács, Gábor Kónya, Balázs Markó, György Póka

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Pattern of changes in morpho-densitometric parameters of magnocellular neurons of the hypothalamic paraventricular nucleus under restraint stress of different duration by K. B. Romanova, O. V. Hancheva, Yu. M. Kolesnyk

“…Changes in the morphometric parameters of magnocellular neurons of the hypothalamic PVN in rats with long-term limitation of living space are characterized by time dependence and multidirectionality, which is related to the functional features of the neuron structural components (cytoplasm, nucleus and nucleoli). …”
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