Urban Tree Canopy Mapping and Analysis Using Iterative Annotation Method and Deep Learning: A Case Study in Beijing by Yulong Ding, Ximin Cui, Zhengchao Chen, Zeqing Wang, Debao Yuan, Xiang Meng, Xuan Yang, Yue Xu, Xiangyu Tian

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Delays in diagnosis and treatment of ATTR cardiac amyloidosis: A real‐world data analysis by Julia Vogel, Sophia Jura, Stephan Settelmeier, Florian Buehning, Tobias Lerchner, Alexander Carpinteiro, Tienush Rassaf, Lars Michel

“…Clinical, laboratory, and imaging data were analysed. Diagnostic timelines were compared across two periods (2018–2020 and 2021–2023). …”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…In this paper, an in-depth study and analysis of attribute modelling and knowledge acquisition of massive images are conducted using image recognition. …”
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Comparison between coronal FLASH and sagittal double echo steady state MRI in detecting longitudinal cartilage thickness change by fully automated segmentation – Data from the FNIH... by Felix Eckstein, Akshay S. Chaudhari, David J. Hunter, Wolfgang Wirth

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Artificial neural networks and remote sensing in the analysis of the highly variable Pampean shallow lakes by Graciela Canziani, Rosana Ferrati, Claudia Marinelli, Federico Dukatz

“…Using bands 2 and 4 of LandSat 5 TM and LandSat 7 ETM+ images andconstructing adequate artificial neural network models (ANN), aclassification of shallow lakes according to their turbidity is obtained.ANN models are also used to determine chlorophyll-a and total suspendedsolids concentrations from satellite image data. …”
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Deep learning of structural morphology imaged by scanning X-ray diffraction microscopy by Aileen Luo, Tao Zhou, Martin V. Holt, Andrej Singer, Mathew J. Cherukara

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Recent Progress in Ocean Intelligent Perception and Image Processing and the Impacts of Nonlinear Noise by Huayu Liu, Ying Li, Tao Qian, Ye Tang

“…Deep learning network models are crucial in processing images acquired from optical, laser, and acoustic sensors in ocean intelligent perception and target detection. …”
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Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence by Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyu Cai, Yongfu You, Jianjun Zhou, Di Guo, Xiaobo Qu

“…Then, the data are uploaded to the cloud or edge nodes for fast image reconstruction, neural network training, and automatic analysis. …”
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Shifted Hexpo activation function: An improved vanishing gradient mitigation activation function for disease classification by Joseph Otoo, Suleman Nasiru, Irene Dekomwine Angbing

“…SHexpo introduces a shifting parameter, enhancing its adaptability and performance across diverse data distributions. Using ResNet 101, DenseNet 169, 5 and 10-layer lightweight Convolutional Neural Network (CNN) trained on the SIPaKMeD dataset for cervical cancer classification, we compared SHexpo against Hexpo, ReLU, Swish, Mish, GELU and PReLU under four pre-processing techniques: zero-mean centering, normalization, their combination and ImageNet weights. …”
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Transfer learning and single-polarized SAR image preprocessing for oil spill detection by Nataliia Kussul, Yevhenii Salii, Volodymyr Kuzin, Bohdan Yailymov, Andrii Shelestov

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MAHGA: Multi-Aspect Heterogeneous Graph Analysis for Harmful Speech Detection on Social Networks by Ryo Yoshida, Soh Yoshida, Mitsuji Muneyasu

“…Deep neural networks demonstrate high accuracy in detecting harmful social media posts; however, conventional text-based methods often overlook critical contextual relationships among posts, users, and shared information. …”
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An Efficient Image Encryption Using a Dynamic, Nonlinear and Secret Diffusion Scheme by Rachid RIMANI, Naima HADJ SAID, Adda ALI PACHA, Juan Antonio López RAMOS

“…The growing use of tele This paper presents a new secret diffusion scheme called Round Key Permutation (RKP) based on the nonlinear, dynamic and pseudorandom permutation for encrypting images by block, since images are considered particular data because of their size and their information, which are two-dimensional nature and characterized by high redundancy and strong correlation. …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…Complex patterns and associations between archaeological, historical, and geological data from different years were identified. The software tools included convolutional neural networks for image analysis, recurrent neural networks for time sequence analysis, and deep neural networks for complex classification, modeling, and verification tasks. …”
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Approximation of Time-Frequency Shift Equivariant Maps by Neural Networks by Dae Gwan Lee

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Educational Behaviour Analysis Using Convolutional Neural Network and Particle Swarm Optimization Algorithm by Zhenjiang Dong

“…To improve the quality of online education, a comprehensive and effective analysis of educational behaviour is necessary. In this paper, we proposed a network model based on the ResNet50 network fused with a bilinear hybrid attention mechanism and proposed an adaptive pooling weight algorithm based on the average pooling algorithm for the problems of image feature extraction caused by traditional pooling algorithm such as mutilation and blurring. …”
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Advanced imaging techniques and artificial intelligence in pleural diseases: a narrative review by Guido Marchi, Mattia Mercier, Jacopo Cefalo, Carmine Salerni, Martina Ferioli, Piero Candoli, Leonardo Gori, Federico Cucchiara, Giovanni Cenerini, Giacomo Guglielmi, Michele Mondoni

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Sentiment Analysis of Tweets on Prakerja Card using Convolutional Neural Network and Naive Bayes by Pahlevi Wahyu Hardjita, Nurochman, Rahmat Hidayat

“…People’s comments on it can be useful information, and this research tries to analyze the sentiment regarding the Prakerja Card program using the Convolutional Neural Network and Naive Bayes methods. The main task in this sentiment analysis is analyzing the data and then classifying them into one of the following classes: positive, negative or neutral. …”
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Video Tactical Intelligence Analysis Method of Karate Competition Based on Convolutional Neural Network by Jun Zhong, Jian Xu

“…The performance of image classification technology based on deep network has been greatly improved, making computer vision enter the stage of industrialization and be gradually applied to many aspects of human work and life. …”
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HistoDX: Revolutionizing Breast Cancer Diagnosis Through Advanced Imaging Techniques by Wishal Arshad, Tehreem Masood, H. M. Shahzad, Hassan A. Ahmed, Syed Hamza Ahmed, Hafiz Muhammad Tayyab Khushi

“…Future research into advanced augmentation techniques, ensemble models, and whole-slide image analysis could further optimize accuracy, sensitivity, and scalability, paving the way for broader adoption in precision oncology.…”
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A comparative analysis on the use of a cellular automata Markov chain versus a convolutional LSTM model in forecasting urban growth using sentinel 2A images by Reda Yaagoubi, Charaf-Eddine Lakber, Yehia Miky

“…In this paper, a comparative analysis between three forecasting methods is presented based on a temporal sequence of Sentinel 2A images. …”
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