Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images by Dylan Russon, Antoine Guennec, Juan Naredo-Turrado, Binbin Xu, Cédric Boussuge, Valérie Battaglia, Benoit Hiron, Emmanuel Lagarde

“…The analysis reveals that the ConvNextV2 model, in particular, demonstrates superior performance across most tasks, despite challenges such as data imbalance and the complex nature of variables like visibility and parking proximity.The findings highlight the potential of convolutional neural networks in improving pedestrian safety by enabling scalable and objective evaluations of crossings. …”
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Comparison of marker-less 2D image-based methods for infant pose estimation by Lennart Jahn, Sarah Flügge, Dajie Zhang, Luise Poustka, Sven Bölte, Florentin Wörgötter, Peter B. Marschik, Tomas Kulvicius

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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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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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De la base au réseau. L'apport des bases de données à l'étude des réseaux by Jean-Pierre Dedieu, Álvaro Chaparro

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Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis by Wai Ying Kot, Sum Yin Au Yeung, Yin Yan Leung, Pui Hang Leung, Wei-fa Yang

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Application of the extended two-stage network DEA model for the biomass-biofuel logistics network design by Jae Dong Hong

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Automatic plant disease detection using computationally efficient convolutional neural network by Muhammad Rizwan, Samina Bibi, Sana Ul Haq, Muhammad Asif, Tariqullah Jan, Mohammad Haseeb Zafar

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Longitudinal evaluation of common and unique brain-networks in variants of primary progressive aphasia by Rajan Kashyap, Rose Dawn Bharath, Changsong Zhou, Kyrana Tsapkini, John E. Desmond, SH Annabel Chen, Kaviraja Udupa, PT Sivakumar, Sagarika Bhattacharjee

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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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A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image by R. Sabitha, D. Sundar

“…The model integrates deep visual feature extraction using a pre-trained VGG16 Convolutional Neural Network (CNN), dimensionality reduction through Principal Component Analysis (PCA), and a modified K-Nearest Neighbors (KNN) algorithm that combines Euclidean and cosine similarity metrics to enhance visual similarity assessment.ResultsExperiments were conducted using the “Fashion Product Images (Small)” dataset from Kaggle. …”
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Huffman coding-based data reduction and quadristego logic for secure image steganography by Irsyad Fikriansyah Ramadhan, Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Andre Uzamurengera

“…Steganography, which embeds secret information within digital images, has been widely explored to safeguard sensitive data from unauthorized access over public networks. …”
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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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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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Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces by Haider Khalid, Marcus J. Collier

“…Abstract In recent years, machine learning models have exhibited excellent performance and far-reaching impact across domains such as fraud detection in finance, recommendation systems in e-commerce, medical imaging in healthcare, agricultural forecasting, social engagement, image classification, sentiment analysis in social media network analysis. …”
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A Novel Approach to Retinal Blood Vessel Segmentation Using Bi-LSTM-Based Networks by Pere Marti-Puig, Kevin Mamaqi Kapllani, Bartomeu Ayala-Márquez

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Neural network approaches, including use of topological data analysis, enhance classification of human induced pluripotent stem cell colonies by treatment condition. by Alexander Ruys de Perez, Paul E Anderson, Elena S Dimitrova, Melissa L Kemp

“…We use topological data analysis to derive input information about the cells' positions to a four-layer feedforward neural network. …”
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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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Enhancing Dermatological Diagnosis Through Medical Image Analysis: How Effective Is YOLO11 Compared to Leading CNN Models? by Rakib Ahammed Diptho, Sarnali Basak

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Quality assurance of hyperspectral imaging systems for neural network supported plant phenotyping by Justus Detring, Abel Barreto, Anne-Katrin Mahlein, Stefan Paulus

“…As a use case, time series HSI measurements of sugar beet plants infested with Cercospora leaf spot (CLS) were performed to estimate the disease severity using convolutional neural network (CNN) supported data analysis. Results The measurements of the calibration material were highly correlated with those of the non-imaging spectrometer (r>0.99). …”
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