A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network by Adelaïde Nicole Kengnou Telem, Colince Meli Segning, Godpromesse Kenne, Hilaire Bertrand Fotsin

“…Computing validation using experimental data with several gray images has been carried out with detailed numerical analysis, in order to validate the high security of the proposed encryption scheme.…”
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Petrographic image classification of complex carbonate rocks from the Brazilian pre-salt using convolutional neural networks by Mateus Basso, João Paulo da Ponte Souza, Guilherme Furlan Chinelatto, Luis Augusto Antoniossi Mansini, Alexandre Campane Vidal

“…Abstract Machine learning (ML) algorithms have been widely applied across geosciences for tasks such as data conditioning, resolution enhancement, and image classification. …”
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Spatial–Frequency Fusion Network With Learnable Fractional Fourier Transform for Remote Sensing Imaging Enhancement by Wenyu Xu, Maohan Liang, Yuxu Lu, Ruobin Gao, Dong Yang

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CWCM-Net: A Novel Feature Fusion Method for Oil Spill Detection Using Single- and Quad-Polarization SAR Data by Sohail Jamal, Guangmin Sun, Yu Li, Abdul Qadir Khan, Yuanzhi Zhang, Anna Verlanti, Ferdinando Nunziata

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Automated Evaluation of Continuous and Segmented Chip Geometries Based on Image Processing Methods and a Convolutional Neural Network by Hagen Klippel, Samuel Pflaum, Michal Kuffa, Konrad Wegener

“…To automatically decide whether a chip at hand should be evaluated using the proposed methods for continuous or segmented chips, a convolutional neural network is proposed, which is trained using supervised learning with available images from embedded chip cross-sections. …”
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Evaluating the role of training data origin for country-scale cropland mapping in data-scarce regions: A case study of Nigeria by Joaquin Gajardo, Michele Volpi, Daniel Onwude, Thijs Defraeye

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AERU-Net: Adaptive Edge Recovery and Attention U-Shaped Network for Remote Sensing Image Super-Resolution by Amir Hajian, Supavadee Aramvith

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S2NN: Spectra-spiking neural network for energy-efficient wheat protein estimation using hyperspectral imaging by Apurva Sharma, Tarandeep Singh, Neerja Mittal Garg, Quoc Cuong Ngo, Nemuel D Pah, Dinesh Kumar

“…We explore SNN in the field of HSI for the regression analysis to estimate the wheat protein content. We proposed a spectra-spiking neural network (S2NN) over a single timestep that uses direct input encoding to analyze spectral data more efficiently. …”
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Efficient Generative-Adversarial U-Net for Multi-Organ Medical Image Segmentation by Haoran Wang, Gengshen Wu, Yi Liu

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Generative Adversarial Networks In Object Detection: A Systematic Literature Review by Anis Farihan Mat Raffei, Sinung Suakanto, Faqih Hamami, Mohd Arfian Ismail, Ferda Ernawan

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A Data-Driven Approach for Automatic Aircraft Engine Borescope Inspection Defect Detection Using Computer Vision and Deep Learning by Thibaud Schaller, Jun Li, Karl W. Jenkins

“…In addition, synthetic images are generated using Deep Convolutional Generative Adversarial Networks and a manual data augmentation approach by randomly pasting defects onto reactor blade images. …”
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INFORMATION TECHNOLOGY FOR RECOGNITION OF ROAD SIGNS USING A NEURAL NETWORK by Elena Yashina, Roman Artiukh, Nikolai Рan, Andrei Zelensky

“…The following tasks are solved: analysis of methods and software for image recognition; development of the search algorithm for characters in the video frame; implementation of the definition of the contour of the sign; realization of a convolutional neural network for recognition of a sign; testing of applied information technology work. …”
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Image-Text Joint Learning for Social Images with Spatial Relation Model by Jiangfan Feng, Xuejun Fu, Yao Zhou, Yuling Zhu, Xiaobo Luo

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Application of Convolutional Neural Networks in an Automatic Judgment System for Tooth Impaction Based on Dental Panoramic Radiography by Ya-Yun Huang, Yi-Cheng Mao, Tsung-Yi Chen, Chiung-An Chen, Shih-Lun Chen, Yu-Jui Huang, Chun-Han Chen, Jun-Kai Chen, Wei-Chen Tu, Patricia Angela R. Abu

“…With the advancement of artificial intelligence (AI), the integration of clinical data and AI-driven analysis presents significant potential for supporting medical applications. …”
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Analysis of the Influence of Image Resolution in Traffic Lane Detection Using the CARLA Simulation Environment by Aron Csato, Florin Mariasiu, Gergely Csiki

“…A key contribution of this work is the demonstration that combining synthetic and real datasets enhances model performance, especially when real data is limited. The novelty of this study lies in its dual analysis of simulation-based data and image resolution as key factors in training effective lane detection systems. …”
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Typical Crop Classification of Agricultural Multispectral Remote Sensing Images by Fusing Multi-Attention Mechanism ResNet Networks by Zongpu Li, Zhiyun Xiao, Yulong Zhou, Tengfei Bao

“…This research introduces an enhanced crop classification and identification model based on a residual ResNet network. This model leverages multispectral remote sensing images from unmanned aerial vehicles (UAVs) to accurately classify complex crop planting structures. …”
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Data-driven bottleneck detection on Tehran highways by Hamid Mirzahossein, Pedram Nobakht, Iman Gholampour

“…The image processing approach involves color-based segmentation, pixel-level analysis, and machine learning algorithms to determine congestion levels across the highway network. …”
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Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis by Katharina Wenderott, Jim Krups, Matthias Weigl, Abigail R Wooldridge

“…Two reviewers analyzed and categorized the data separately. We then used epistemic network analysis to explore their relationships across different stages of AI implementation. …”
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Papillary thyroid carcinoma whole-slide images as a basis for deep learning by M. V. Fridman, A. A. Kosareva, E. V. Snezhko, P. V. Kamlach, V. A. Kovalev

“…Traditional and neural network methods of extracting parts of images are used to automate the analysis. …”
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Advancing Skin Disease Diagnosis: A Multimodal Approach Utilizing Telegram Api Token Chatbot for Text and Image Analysis in Skin Disease Classification by Modigari Narendra, T. S. Harshini, L. Jani Anbarasi

“…Additionally, the accuracy and generalization capability of the classification system is improved by analysing the data from both the chatbot and image analysis. The chatbot’s self-learning capabilities allow it to improve its comprehension over time in response to user input, which makes it more adept at personalising queries. …”
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