Robust and Swift Iris Recognition at distance based on novel pupil segmentation by Ahmed Khudhur Nsaif, Sawal Hamid Md. Ali, Asama Kuder Nseaf, Khider Nassif Jassim, Ammar Al-Qaraghuli, Riza Sulaiman

“…The quality of eye pictures often changes due to noise effects and the individual variance between human eyes, making segmentation of the pupil a tricky problem. To address this issue, we propose an efficacious, swift, and robust iris recognition method that is convenient for eye pictures under non-ideal conditions. …”
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Visual nutrition analysis: leveraging segmentation and regression for food nutrient estimation by Yaping Zhao, Yaping Zhao, Ping Zhu, Ping Zhu, Yizhang Jiang, Kaijian Xia, Kaijian Xia

“…However, this method often lacks real nutritional content labels as a reference, making it difficult to ensure the accuracy of the predictions.MethodsTo address this issue, we combined segmentation and regression tasks and used the Nutrition5k dataset, which contains detailed nutritional content labels but no segmentation labels, for manual segmentation annotation. …”
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Hybrid transformer-CNN and LSTM model for lung disease segmentation and classification by Syed Mohammed Shafi, Sathiya Kumar Chinnappan

“…Consequently, an improved Transformer-based convolutional neural network (CNN) model (ITCNN) is proposed to segment the affected region in the segmentation process. …”
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Instance segmentation and automated pig posture recognition for smart health management by Md Nasim Reza, Md Sazzadul Kabir, Md Asrakul Haque, Hongbin Jin, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…The objective of this study was to recognize and detect pig posture using a masked-based instance segmentation for automated pig monitoring in a closed pig farm environment. …”
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Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer by Hengrui Zhao, Biling Wang, Michael Dohopolski, Ti Bai, Steve Jiang, Dan Nguyen

“…Methods. To address this issue, we propose to identify underlying clusters within the dataset and use the cluster labels for segmentation. …”
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ON THE ISSUE OF INFORMATION AND ANALYTICAL SUPPORT OF THE LEGAL WORK OF THE STATE TAX SERVICE by Vadym O. Anokhin

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Geomorphometric analysis of Zimbabwe’ digital elevation model and issues of exogenic metallogeny by P. A. Ignatov, E. V. Polyakova, A. L. Mineev, S. A. Malyutin

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Developing a Medical Garment for Upper-Body Posture-Related Issues by R.A.H.S. Ranawaka, S.D.M.W. Kularatne, E.A.S.K. Fernando, S.N. Niles, T.S.S. Jayawardane, R.K.P.S. Ranaweera

“… The increase in incorrect posture in the daily lifestyle of many individuals has led to numerous issues. Of these, lower back pain is recognized as the most common posture-related medical condition. …”
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DIGITAL PROPERTY – SPECIFIC ISSUES IN THE APPLICATION OF PRIVATE INTERNATIONAL LAW RULES by Jelena Stojšić Dabetić, Predrag Mirković

“…  Digital property emerges as a new segment of property law, while simultaneously being a consequence of the digitalization of financial intermediation and representing a form of technological innovation that substitutes payment services and investments in the banking and stock markets. …”
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ON THE ISSUE OF THE AVAILABILITY OF SOCIAL MORTGAGES FOR CITIZENS IN NEED OF BETTER HOUSING CONDITIONS by VASILYEVA O.N., YANINA M.S.

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Revascularization in Lesion of Arteries of the Aortoiliac Arterial Segment. Literature Review and Clinical Examples by M. A. Chernyavsky, V. A. Neverov, N. V. Susanin, V. A. Soloviev, Yu. K. Belova, A. N. Kazantsev

“…This article reports the main issues concerning the tactics of choosing the treatment of patients with occlusive-stenotic lesions of the aortoiliac segment. …”
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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

“…However, the uneven grayscale of images and the symbolic distance function in the gradient descent method lead to issues such as computational complexity and high computational cost during segmentation. …”
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A Hierarchical Neural Network for Point Cloud Segmentation and Geometric Primitive Fitting by Honghui Wan, Feiyu Zhao

“…However, prevalent methods exhibit accuracy issues. In this study, we introduce a novel hierarchical neural network that utilizes recursive PointConv operations on nested subdivisions of point sets. …”
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Cognate Production Using Character-Based Neural Machine Translation Without Segmentation by Tsolmon Zundui, Khuyagbaatar Batsuren, Tsendsuren Munkhdalai, Amarsanaa Ganbold

“…In this work, we introduce a fully character-level neural sequence-to-sequence model for cognate production that does not require any segmentation. Our model operates at the character-level to transform a source word into its corresponding cognate in the target language, thereby obviating out-of-vocabulary issues and alleviating the need for subword segmentation. …”
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CNN-Based Image Segmentation Approach in Brain Tumor Classification: A Review by Nurul Huda, Ku Ruhana Ku-Mahamud

“…This study explores the application of Convolutional Neural Networks (CNNs) for brain tumor segmentation, leveraging their ability to automatically extract hierarchical features from medical images. …”
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Deep nested U-structure network with frequency attention for building semantic segmentation by Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu, Mugahed A. Al-antari

“…Abstract The automated segmentation of buildings from remotely sensed imagery has undergone extensive research and application across various industrial domains. …”
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Liver segmentation network based on detail enhancement and multi-scale feature fusion by Lu Tinglan, Qin Jun, Qin Guihe, Shi Weili, Zhang Wentao

“…To address these issues, this paper proposes a Detail Enhanced Convolution (DE Conv) to improve liver feature learning and thereby enhance liver segmentation performance. …”
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Image Segmentation Method With Improved GA Optimization of Two-Dimensional Maximum Entropy by Jin Wang, Yanli Tan, Xiaoning Bo, Guoqin Li

“…Image segmentation is the cornerstone that determines the effectiveness of image processing, but traditional image segmentation methods have issues such as long computation time, low recognition accuracy, and poor anti-interference ability. …”
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Semi-Supervised Burn Depth Segmentation Network with Contrast Learning and Uncertainty Correction by Dongxue Zhang, Jingmeng Xie

“…To address these issues, we propose SBCU-Net, a semi-supervised burn depth segmentation network with contrastive learning and uncertainty correction. …”
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Adaptive Window Multi-Feature Fusion Point Cloud Semantic Segmentation Network by Lie Zhu

“…This challenge is particularly evident when dealing with point clouds that have different scales, densities, and structural characteristics. To address these issues, this research proposes Adaptive Window Multi-Feature Fusion Point Cloud Semantic Segmentation (AWFusionNet), aimed at simultaneously considering both global and local features of point clouds, optimizing their representation capability and segmentation accuracy. …”
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