Fractional Impervious Surface Mapping on Multispectral Images With Visible Shadows via a Bundle-Based Sparse Unmixing Model by Yanze Liu, Dacheng Li, Wei Xiong, Qijin Han, Lingling Ma

“…To solve this problem, we propose a combination of endmember bundle extraction based on superpixel segmentation and sparse unmixing for the ISA estimation of multispectral images containing visible shadows (EESS), considering the city district of Taiyuan as an example. …”
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Absolute calibration methodology for non-uniform uranium and matrix distributions in large barrels of uranium-bearing solid waste by K. M. El-Kourghly

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EMFF-Net: Edge-Enhancement Multi-Scale Feature Fusion Network by Xuhui Guan, Jiwang Zhou, Jian Chen, Xiaodan Xu, Yizhang Jiang, Kaijian Xia

“…According to medical research, colorectal polyps are considered typical precancerous lesions, making colonoscopic polyp images crucial for the early diagnosis of rectal cancer. …”
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Convolutional Neural Network-Based Approach for Cobb Angle Measurement Using Mask R-CNN by Marcos Villar García, José-Benito Bouza-Rodríguez, Alberto Comesaña-Campos

“…The Cobb angle measurement method has been widely considered as the gold standard for a scoliosis assessment. …”
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Entering the Emperor’s Villa: an integrated methodology to enrich cognitive accessibility of an archaeological site by Silvia Bertacchi, Benedetta Adembri

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UAV Detection Using Template Matching and Centroid Tracking by Muhammad Hanzla, Muhammad Ovais Yusuf, Touseef Sadiq, Naif Al Mudawi, Hameedur Rahman, Abdulwahab Alazeb, Aisha Ahmed AlArfaj, Asaad Algarni

“…Our approach offers robust vehicle detection and tracking over a range of sizes and positions in complicated backgrounds, while also efficiently segmenting the region of interest. Our suggested method, which makes use of machine learning and feature extraction techniques, shows excellent precision and effectiveness when it comes to detecting and tracking vehicles in complex aerial images. …”
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Prior knowledge of anatomical relationships supports automatic delineation of clinical target volume for cervical cancer by Jialin Shi, Xiaoqian Mao, Youquan Yang, Shanfu Lu, Wei Zhang, Shuguang Zhao, Zhiyang He, Ziye Yan, Wei Liang

“…First, our model proposes a novel feature attention module to integrate the relationship between nearby OARs and CTV to improve segmentation accuracy. Second, we propose a width-driven attention network to incorporate the relative positions of psoas muscle and CTV. …”
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Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction by Xinyue Lv, Youli Li, Lili Zhangzhong, Chaoyang Tong, Yibo Wei, Guangwei Li, Yingru Yang

“…This research comprehensively considered various factors, including environmental, soil, and crop growth conditions, that influence crop water requirements. …”
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COMPARISON OF SPACE IMAGES OF A SURFACE OF EARTH TO A STANDARD OF A DIGITAL DISTRICT MAP by A. A. Zalatoi, D. I. Novikau

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Fractal functions of exponential type that is generated by the $\mathbf{Q_2^*}$-representation of argument by M.V. Pratsovytyi, Ya. V. Goncharenko, I. M. Lysenko, S.P. Ratushniak

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What Drives Consumers in Poland and the Czech Republic When Choosing Engine Oil Brand? by Artur Wolak, Kamil Fijorek, Grzegorz Zając, Vojtěch Kumbár

“…They cluster into four segments with differing importance profiles. The study found that the largest consumer segment, over one-third of consumers, consider the quality classification, viscosity classification, and OEM specification as the most important criteria during the decision-making process. …”
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Two-Step CNN Framework for Text Line Recognition in Camera-Captured Images by Yulia S. Chernyshova, Alexander V. Sheshkus, Vladimir V. Arlazarov

“…In this paper, we introduce an “on the device” text line recognition framework that is designed for mobile or embedded systems. We consider per-character segmentation as a language-independent problem and individual character recognition as a language-dependent one. …”
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DEVELOPMENT OF A METHOD FOR ANALYZING TOMOGRAPHIC IMAGES OF BONE STRUCTURES by Hanna Abramova, Oleh Avrunin

“…The research uses methods of improving the quality of images, filtering using adaptive local filters, segmentation and stereology methods, cluster analysis method. …”
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Parallel region growing of half-tone images based on selected average brightness of the area along the growth route by V. Yu. Tsviatkou

“…The problem of parallel segmentation of halftone images by brightness for implementation on the basis of programmable logic integrated circuits is considered. …”
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THE ALGORITHM OF DETERMINATION OF EYE FUNDUS VESSELS BLOOD FLOW CHARACTERISTICS ON VIDEOSEQUENCE by O. V. Nedzvedz, S. V. Ablameyko, A. M. Nedzved, A. V. Glinsky, G. M. Karapetyan, A. A. Anisimov, I. B. Gurevich, V. V. Yashina

“…Developed algorithm includes four stages: the video sequence stabilization, the vessels segmentation with the help of a neural network, the determination of the instantaneous velocity in the vessels based on the optical flow and the analysis of the results.…”
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Attention modules in convolutional neural networks for small object recognition by D.I. Krasnov

“…Results of using various attention mechanisms to improve accuracy in small objects segmentation with convolutional neural networks are presented in this paper. …”
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Metachronous rupture of a residual pancreaticoduodenal aneurysm after release of the median arcuate ligament: a case report by Nana Kimura, Koshi Matsui, Kazuto Shibuya, Isaku Yoshioka, Norihito Naruto, Yui Hoshino, Kosuke Mori, Katsuhisa Hirano, Toru Watanabe, Shozo Hojo, Shigeaki Sawada, Tomoyuki Okumura, Takuya Nagata, Kyo Noguchi, Tsutomu Fujii

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Melody Feature Clustering and Optimization for Query-by-humming by WANG Ning, CHEN Chen, CHEN De-yun, HE Yong-jun

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Detection of Violent Scenes in Cartoon Movies Using a Deep Learning Approach by Noreen Fayyaz Khan, Sareer Ul Amin, Zahoor Jan, Changhui Yan

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PatchOut: A novel patch-free approach based on a transformer-CNN hybrid framework for fine-grained land-cover classification on large-scale airborne hyperspectral images by Renjie Ji, Kun Tan, Xue Wang, Shuwei Tang, Jin Sun, Chao Niu, Chen Pan

“…Therefore, in this paper, considering the efficiency requirements for large-scale land-cover classification, a novel patch-free approach based on a Transformer-CNN hybrid (PatchOut) framework is proposed. …”
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