Determinação da cobertura do solo por análise de imagens e redes neurais Soil cover determination using image analysis and neural networks by Carlos A. A. Varella, Francisco de A. de C. Pinto, Daniel M. de Queiroz, Darly G. de Sena Júnior

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Uncovering abnormal gray and white matter connectivity patterns in Alzheimer’s disease spectrum: a dynamic graph theory analysis for early detection by Juanjuan Jiang, Tao Kang, Ronghua Ling, Yingqian Liu, Jiuai Sun, Yiming Li, Xiaoou Li, Hui Yang, Bingcang Huang, the Alzheimer’s Disease Neuroimaging Initiative

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Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification by Zuojun Zheng, Jianghao Yuan, Wei Yao, Paul Kwan, Hongxun Yao, Qingzhi Liu, Leifeng Guo

“…Fusion of RGB images and multispectral data improved the accuracy by 1–4% compared to using a single data source. …”
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Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network by Krishna Kant Singh, Akansha Singh

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YOLOv8 vs RetinaNet vs EfficientDet: A Comparative Analysis for Modern Object Detection by Sana Fatima, Najmi Ghani Haider, Rizwan Riaz

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Speed and efficiency analysis of artificial intelligence recognition system of glomerular pathology based on Faster R-CNN algorithm by YANG Hui, ZHANG Xing-na, JIANG Qiu-zhu, YUAN Cheng-ying, QU Chong-xiao, LIU Yun-xiao, WANG Chen, LI Ming, LI Rong-shan, ZHOU Xiao-shuang

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Convolutional Neural Networks in the SSI Analysis for Mine-Induced Vibrations by Maciej Cyprian Zajac, Krystyna Kuzniar

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Federated Learning Approach for Breast Cancer Detection Based on DCNN by Hussain AlSalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan

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Particle Movement in DEM Models and Artificial Neural Network for Validation by Using Contrast Points by Barbora Černilová, Jiří Kuře, Rostislav Chotěborský, Miloslav Linda

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Graph-Based Radiomics Feature Extraction From 2D Retina Images by Ofelio Jorreia, Nuno Goncalves, Rui Cortesao

“…Medical image analysis offers valuable visual support for clinical decision-making, yet the incorporation of quantitative data is essential for deeper diagnostic insight. …”
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Characterization of the Pore Network of a Cohesive Oxisol Through Morphological and Pore Complexity Analyses by Jocenei A. T. de Oliveira, Thaís N. Pessoa, José V. Gaspareto, Adolfo N. D. Posadas, André L. F. Lourenço, Paulo L. Libardi, Luiz F. Pires

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A deep neural network for adaptive spatial smoothing of task fMRI data by Zhengshi Yang, Xiaowei Zhuang, Mark J. Lowe, Dietmar Cordes, Dietmar Cordes

“…This method can incorporate additional neighboring voxels for estimating optimal spatial smoothing without significantly increasing computational costs, making it suitable for ultrahigh-resolution (sub-millimeter) task fMRI data. Furthermore, the proposed neural network incorporates brain tissue properties, enabling more accurate characterization of brain activation at the individual level.…”
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Evaluation of drying behavior and characteristics of potato slices in multi–stage convective cabinet dryer: Application of artificial neural network by Susama Chokphoemphun, Somporn Hongkong, Suriya Chokphoemphun

“…The results showed a good confidence level with the coefficient of determination in the range of 0.962 7–0.993 3. The shrinkage analysis was based on the photographic data taken through image processing before usage as the output data for the predictive model. …”
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Exploring Applications of Convolutional Neural Networks in Analyzing Multispectral Satellite Imagery: A Systematic Review by Antonia Ivanda, Ljiljana Šerić, Maja Braović

“…Today is possible to extract features specific to various fields of application with the application of modern machine learning techniques, such as Convolutional Neural Networks (CNN) on MultiSpectral Images (MSI). This systematic review examines the application of 1D-, 2D-, 3D-, and 4D-CNNs to MSI, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. …”
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A Full-Scale Shadow Detection Network Based on Multiple Attention Mechanisms for Remote-Sensing Images by Lei Zhang, Qing Zhang, Yu Wu, Yanfeng Zhang, Shan Xiang, Donghai Xie, Zeyu Wang

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Research into the Application of ResNet in Soil: A Review by Wenjie Wu, Lijuan Huo, Gaiqiang Yang, Xin Liu, Hongxia Li

“…With the rapid advancement of deep learning technology, the residual networks technique (ResNet) has made significant strides in the field of image processing, and its application in soil science has been steadily increasing. …”
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Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

“…ABSTRACT Automating mineral delineation and rock type analysis using remote sensing imaging data is a critical application of machine learning. …”
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Fusion of Aerial and Satellite Images for Automatic Extraction of Building Footprint Information Using Deep Neural Networks by Ehsan Haghighi Gashti, Hanieh Bahiraei, Mohammad Javad Valadan Zoej, Ebrahim Ghaderpour

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Brain topology and cognitive outcomes after cardiac arrest: A graph theoretical analysis of fMRI data by Marlous M.L.H. Verhulst, Puck Lange, Anil Man Tuladhar, Prejaas Tewarie, Pauline C.W. van Gils, Caroline van Heugten, Judith Bonnes, Thijs Delnoij, Rick Helmich, Jeannette Hofmeijer

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Enhanced stroke risk prediction in hypertensive patients through deep learning integration of imaging and clinical data by Hui Li, Tianyu Zhang, Guochao Han, Zonghui Huang, Huiyu Xiao, Yunzhe Ni, Bo Liu, Wennan Lin, Yuan Lin

“…Objective This study aimed to develop a deep learning-based multimodal stroke risk prediction model by integrating carotid ultrasound imaging with multidimensional clinical data to enable precise identification of high-risk individuals among hypertensive patients. …”
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