Scheme Analysis for Enhancing Autonomous Driving Based on Computer Vision by Chen Xinyi, Luo Binbin, Xu Ziyue

“…Thesis adopted both literature review and technical analysis, focusing on recent developments in key technologies such as image processing, hybrid convolutional neural network (CNN)-transformer models, object detection, and multi-sensor fusion. …”
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Discrimination of the Skin Cells from Cellular-Resolution Optical Coherence Tomography by Deep Learning by Jui-Yun Yi, Sheng-Lung Huang, Shiun Li, Yu-You Yen, Chun-Yeh Chen

“…Deep learning algorithms (particularly convolutional neural networks, CNN) that extract features from images efficiently process the OCT’s complex images. …”
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MRI Screening of Lungs in the COVID-19 Pandemic at the Stages of Medical Care as a Tool to Reduce the Total Collective Dose of Radiation to the Population by A. V. Korobov, N. V. Nudnov, A. Yu. Popov, T. V. Kul’neva, V. V. Babenko, E. V. Pron’kina

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Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms by Nizom Farmonov, Khilola Amankulova, Jozsef Szatmari, Alireza Sharifi, Dariush Abbasi-Moghadam, Seyed Mahdi Mirhoseini Nejad, Laszlo Mucsi

“…To obtain this, first, factor analysis was introduced to decrease the size of the hyperspectral image data cube. …”
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Panoramic Assessment Method of Substation Equipment Health Status Based on Multisource Monitoring and Deep Convolution Neural Network under Edge Computing Architecture by Zhu-xing Ma, Li-shuo Zhang, Hao Gu, Zi-zhong Xin, Zhe Kang, Zhao-lei Wang

“…Finally, based on the status image of substation equipment, the health status of equipment is evaluated on the panoramic platform of substation combined with the characteristics of multisource data, and four states are divided according to the evaluation criteria. …”
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Mapping, typological characterization, and geomorphometric analysis of the gullies of the Tupanciretã Formation by Henrique Roberto Schmitt, Clódis de Oliveira Andrades Filho

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Improved crop row detection by employing attention-based vision transformers and convolutional neural networks with integrated depth modeling for precise spatial accuracy by Hassan Afzaal, Derek Rude, Aitazaz A. Farooque, Gurjit S. Randhawa, Arnold W. Schumann, Nicholas Krouglicof

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A user-friendly software to accurately count and measure cysts from the parasitic nematode Heterodera glycines by Joffrey Mejias, Djampa K. L. Kozlowski, Jackson Goshon, Thomas R. Maier, Thomas J. Baum

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A multimodal Neuroimaging-Based risk score for mild cognitive impairment by Elaheh Zendehrouh, Mohammad S.E. Sendi, Anees Abrol, Ishaan Batta, Reihaneh Hassanzadeh, Vince D. Calhoun

“…Structural MRI (sMRI) data provided gray matter (GM) segmentation maps, while resting-state functional MRI (fMRI) data yielded functional network connectivity (FNC) matrices via spatially constrained independent component analysis. …”
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Deep learning based quantitative cervical vertebral maturation analysis by Fulin Jiang, Abbas Ahmed Abdulqader, Yan Yan, Fangyuan Cheng, Tao Xiang, Jinghong Yu, Juan Li, Yong Qiu, Xin Chen

“…Methods This study analyzed 2100 cephalometric images. The data distribution to an 8:1:1 for training, validation, and testing. …”
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Classification of Alzheimer's disease using unsupervised diffusion component analysis by Dominique Duncan, Thomas Strohmer

“…The goal of this study is automated discrimination between early stage Alzheimer$'$s disease (AD) magnetic resonance imaging (MRI) and healthy MRI data. Unsupervised Diffusion Component Analysis, a novel approach based on the diffusion mapping framework, reduces data dimensionality and provides pattern recognition that can be used to distinguish AD brains from healthy brains. …”
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Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays by Tarek Kandil, Adam Harris, Remon Das

“…These images were fed to a neural network. To validate the model, a detailed analysis was performed, comparing different combinations of classifiers and optimizers. …”
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Individualized lesion-symptom mapping using explainable artificial intelligence for the cognitive impact of white matter hyperintensities by Ryanne Offenberg, Alberto De Luca, Geert Jan Biessels, Frederik Barkhof, Wiesje M. van der Flier, Argonde C. van Harten, Ewoud van der Lelij, Josien Pluim, Hugo Kuijf

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Investigating the effects of destructive factors on pulse repetition interval modulation type recognition using deep convolutional neural networks based on transfer learning by Mahshid Khodabandeh, Azar Mahmoodzadeh, Hamed Agahi

“…The current article examines the effects of destructive factors on recognising PRI modulation in radar signals using deep convolutional neural networks (DCNNs). The article uses simulations based on the actual environment to generate data and consider destructive factors with different percentages. …”
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FGMFN: Fine-Grained Multiscale Cross-Modal Sentiment Analysis in Advertisements by Han Wang, Peng Chen, Xiangyu Du

“…The model is designed to process multi-scale feature inputs, facilitate efficient sentiment fusion between images and text. FGMFN employs a multi-scale network to extract key features from advertising images, and uses visual features to guide the textual data representation. …”
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Neuroimaging studies of acupuncture for depressive disorder: a systematic review of published papers from 2014 to 2024 by Dezhi Lin, Qiang Ren, Yangxu Ou, Longlong Li, Dezhong Peng, Sha Yang

“…Following a qualitative analysis of the studies, relevant information regarding acupuncture interventions and brain imaging data was extracted.ResultsA total of 26 studies met the inclusion criteria. …”
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Bibliometric analysis of nanoparticle research for diagnostics and therapeutics in hepatocellular carcinoma by Xiaoqing Li, Yue Li, Jingyan Zhu, Yang Yang, Shipeng Yang

“…Materials and methods Literature on hepatocellular carcinoma and nanomedicine interactions was searched from the core database of the Web of Science and bibliometric and visualisation analyses were performed using VOSviewer, CiteSpace and GraphPad Prism data analysis software. We focused on important keywords, countries, authors, affiliations, journals, and literature in the field of nanomaterials for HCC. …”
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Assessment of using transfer learning with different classifiers in hypodontia diagnosis by Tansel Uyar, Didem Sakaryalı Uyar

“…Performance was evaluated via accuracy, recall, precision, F1-score, specificity and area under the curve (AUC) parameters. Results All of the data were classified via a VGG-19 model with a bilayered neural network classifier, which achieved 95.63% accuracy, 93.26% precision, 93.34% recall, 96.73% specificity, 93.25% F1-score and 95.03% AUC and was identified as the most successful model. …”
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Visual analysis of fruit harvesting machine based on CiteSpace by YANG Daorina, ZHANG Fengkui, WANG Yulong, HE Ruohong, ZHU Jikui, LI Ping

“…[Methods] We selected the research literatures published in the Web of Science core database from 1994 to 2024, which were closely related to the field of fruit harvesting machinery, as the data source. With the help of visual analysis software Citespace v6.1.6R, the data of 838 English literatures were analyzed in terms of the number of published papers, authors, institutions, countries, journals, etc., and the visual images of co-occurrence network and density map were completed. …”
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Unveiling Aducanumab's safety profile: A comprehensive pharmacovigilance analysis. by Huanhuan Ji, Zongren Zhao, Chuanwei Zhao

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