A comparative analysis of urban development and the tram line network in Lviv in 1932−2016 by Cegiełko Szczepan, Karsznia Izabela

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Improving GOCI ocean color data under high solar-zenith angle over open oceans using neural networks by Xiaoming Liu, Menghua Wang

“…With hourly measurements available during daytime between local times of 09:00–16:00, ocean color data derived from the Geostationary Ocean Color Imager (GOCI) onboard the Korean Communication, Ocean, and Meteorological (COMS) satellite have been useful for research and surveillance of diurnal processes in the western Pacific Ocean region. …”
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Changes of functional brain network topology associated with nutritional indicator of patients with recurrent major depressive disorder by Guanghui Liu, Yanli Jiang, Chunpeng Zhou, Xiangxiang Wang, Min Dai, Jinping Zhang, Jing Yu, Gangzhong Zhang

“…This study aimed to investigate the changes of brain network, as well as the relationships between relapses, brain regions, nutritional and metabolic indicators by resting-state functional magnetic resonance imaging (rs-fMRI) and graph theoretical analysis.MethodsThirty-two fMDD patients, 32 rMDD patients, and 32 healthy controls (HCs) underwent rs-fMRI scanning. …”
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Multiple image encryption algorithm using channel randomization and multiple chaotic maps by Khalid M. Hosny, Yasmin M. Elnabawy, Rania A. Salama, Ahmed M. Elshewey

“…Abstract Developing robust and secure image encryption methods for transmitting multiple images in batches over unprotected networks has become imperative. …”
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A comparative study of convolutional neural networks and traditional feature extraction techniques for adulteration detection in ground beef by Leila Bahmani, Saied Minaei, Alireza Mahdavian, Ahmad Banakar, Mahmoud Soltani Firouz

“…Convolutional Neural Network (CNN) was also used to extract features and classify images. …”
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Time series image coding classification theory based on Lagrange multiplier method by Wentao Jiang, Ming Zhao, Hongbo Li

“…Abstract Time series classification is a crucial area of research within data analysis. Recent advancements in convolutional neural networks (CNNs) for image recognition and classification have inspired innovative approaches in this field. …”
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Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review by Platon S. Papageorgiou, Rafail Christodoulou, Panagiotis Korfiatis, Dimitra P. Papagelopoulos, Olympia Papakonstantinou, Nancy Pham, Amanda Woodward, Panayiotis J. Papagelopoulos

“…This narrative review synthesizes the evolving applications of AI in PBTs, focusing on early tumor detection, imaging analysis, therapy response prediction, and histological classification. …”
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BiLSTM-based Approach to the Natural Language Text Dependencies Analysis by A. Chernyshov

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Aortic Aneurysm Inflammatory Cell Detection with Deep Learning methods by Kristóf-Gergö Nagy, Csaba Szferle, Attila Fintha

“…INTRODUCTION: In digital pathology, neural networks such as the Multilayer Perceptron (MLP) and Residual Neural Network (ResNet) are becoming increasingly prevalent for the analysis of tissue structure. …”
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SRFNet: Multimodal Based Selective Receptive Field Neural Network for Time Series Forecast of Flood Range by Zhiqing Li, Zeqiang Chen, Lai Chen, Xu Tang, Nengcheng Chen

“…Nonetheless, many existing methods are developed for natural images and do not take into account the unique characteristics of remote-sensing images and other modal data. …”
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Diagnosis of pneumonia from chest X-ray images using YOLO deep learning by Yanchun Xie, Binbin Zhu, Yang Jiang, Bin Zhao, Hailong Yu

“…To address this, we propose a novel pneumonia diagnosis method using the Fast-YOLO deep learning network that we introduced. First, we constructed a pneumonia dataset containing five categories and applied image enhancement techniques to increase data diversity and improve the model’s generalization ability. …”
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Semantic segmentation of optical satellite images for the illegal construction detection using transfer learning by Yashasvi Mehta, Abdullah Baz, Shobhit K. Patel

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Prediction of soil chemical properties using multispectral satellite images and wavelet transforms methods by Chaitanya B. Pande, Sunil A. Kadam, Rajesh Jayaraman, Sunil Gorantiwar, Mukund Shinde

“…More detailed information of soil chemical characteristics was provided by four selected wavelet models developed based on the observed data and satellite data. Prediction of soil chemical values has been identified through low and high-frequency satellite images and artificial neural network model. …”
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Explainable AI for lung cancer detection via a custom CNN on CT images by Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El-Latif, Abdelhamied A. Ateya, Gauhar Ali, Pawel Plawiak

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Harnessing multi-source data for AI-driven oncology insights: Productivity, trend, and sentiment analysis by Wissal EL HABTI, Abdellah AZMANI

“…Among 8339 authors, Kather JN was the third most prolific author and held a central position in the co-authorship network. The most prominent article emphasized the Explainability of AI methods (XAI) with a profound discussion of their potential implications and privacy in data fusion contexts. …”
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Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease by Isobel Timothea French, Kuo-Hsuan Chang, Wei-Kuang Liang, Wen-Sheng Chang, Yen-Shi Lo, Yi-Ru Wang, Mei-Ling Cheng, Norden E. Huang, Hsiu-Chuan Wu, Siew-Na Lim, Chiung-Mei Chen, Chi-Hung Juan

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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models. by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang

“…The majority of deep learning techniques developed for medical image analysis rely on convolutional modules to extract the inherent structure of images within a certain local receptive field. …”
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Multi-scale eddy identification and analysis based on deep learning method and ocean color data by Meng Hou, Lixing Fang, Kai Wu, Jie Yang, Ge Chen

“…The algorithm integrates high resolution ocean color data, digital image processing, artificial intelligence, and multi-scale object detection technologies. …”
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Protein Adsorption by Basal Plane Graphite Surfaces: Molecular Images and Nano-Structured Films by A. Orasanu-Gourlay, R.H. Bradley

“…AFM analysis of films obtained by adsorption from solutions of higher protein concentrations, which were dried slowly over a, period of 24 h, indicated the formation of network structures with the surface coverage increasing with solution concentration. …”
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Overlapping structural and functional connectivity disruptions in clinical high-risk for psychosis participants: A network analysis study by Angus Paton, Tineke Grent- ’t-Jong, Ruchika Gajwani, Joachim Gross, Andrew I. Gumley, Stephen M. Lawrie, Matthias Schwannauer, Frauke Schultze-Lutter, Peter J. Uhlhaas

“…Schizophrenia involves aberrant connectivity of anatomical and functional networks. However, it is currently unclear whether such disruptions are present in clinical high-risk for psychosis (CHR-P) participants and whether there may be an overlap between structural and functional connectivity alterations.We obtained diffusion magnetic resonance imaging (dMRI) and resting-state, magnetic resonance imaging (rsfMRI) data from N = 110 CHR-P participants and N = 49 healthy controls (HC). …”
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