Les plages de la côte d'Ejjehmi-Soliman (golfe de Tunis, Tunisie) : exemple d'accélération de l'érosion marine dans une cellule sédimentaire artificiellement tronçonnée by Wissem Marzougui, Ameur Oueslati

“…The issue of beach erosion in the coast of Ejjehmi-Soliman, located in the bottom of the Bay of Tunis between the Seltene wadi and the channel that connects the sebkha Soliman to the sea, has been the subject of some studies. …”
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Method for assessing rodent infestation in plateau based on SegFormer. by Xiangjie Huang, Guoying Zhang, Chunmei Li, Yaosheng Han, Qing Dong, Hao Wang

“…Second, to address the issue of SegFormer's suboptimal performance in segmenting small targets within complex backgrounds and among similar objects, we implemented targeted modifications to enhance its effectiveness for this task. …”
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In-hospital changes of echocardiographic parameters and their relationship with the procollagen I C-terminal propeptide in patients with myocardial infarction and preserved left ve... by A. V. Osokina, V. N. Karetnikova, O. V. Polikutina, A. V. Ivanova, O. V. Gruzdeva, S. A. Ryzhenkova, T. P. Artemova, O. L. Barbarash

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Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11 by Xiao Wang, Yue Wu, Longfei Cui, Haizhong Qian, Bohao Li, Xu Wang

“…Due to the fuzziness and uncertainty of building patterns, it is difficult to describe them with unified rules, making this issue a key and challenging research focus in the field of cartographic generalization, which limits the level of automation in building generalization. …”
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SCite‐HRNet: A self‐calibrating efficient network for pose estimation by Nan Xiang, Xingdi Rao, Wenjing Yang, Jin Chen, Lifang Zhu

“…A self‐calibrated segmentation convolution is first designed to extract and amalgamate contextual information across various scales, thereby addressing the issue of excessive computation engendered by stacked convolution kernels in conventional convolution methods. …”
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LIO-GC: LiDAR Inertial Odometry with Adaptive Ground Constraints by Wenwen Tian, Juefei Wang, Puwei Yang, Wen Xiao, Sisi Zlatanova

“…Unlike conventional methods relying on geometric features for ground plane segmentation, our approach leverages a self-adaptive strategy that considers the uneven point cloud distribution and inconsistency due to ground fluctuations. …”
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Adaptive feature interaction enhancement network for text classification by Rui Su, Shangbing Gao, Kefan Zhao, Junqiang Zhang

“…Abstract Text classification aims to establish text distinctions, which face difficulty in capturing global text semantics and local details. To address this issue, we propose an Adaptive Feature Interactive Enhancement Network (AFIENet). …”
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Adaptive blind deconvolution decomposition and its application in composite fault diagnosis of rolling bearings by Wei Dong, Bin Feng, Yulun Liu, Shuqing Zhang

“…However, blind deconvolution methods such as CYCBD often fail when composite bearing faults occur in the presence of strong background noise. To overcome this issue, an adaptive blind deconvolution (ABDD) method based on improved CYCBD is proposed. …”
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The impact of consumer knowledge on socially responsible spending on products from underdeveloped countries by Joosung Lee, Loun Lee

“…The practical contributions of this research include examining consumers' intentions regarding socially responsible purchases and targeting market segments that prioritize social issues.…”
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Hybrid bio-inspired optimization based routing protocol for enhancing data transmission in clustered network by Kirandeep Kaur, Satinder Kaur

“…Early node failures, network segmentation, and reduced quality of service (QoS) are driven by constant and uneven energy consumption among sensor nodes, particularly during data transmission and cluster head (CH) processes. …”
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Unsupervised Fabric Defect Detection Based on Under-Complete Dictionary Reconstruction by LIU Jianxin, PAN Ruru, ZHOU Jian

“…To address the issue that most current automatic fabric defect detection methods still require manual selection of training sets and cannot achieve unsupervised learning, an automatic unsupervised defect detection method using the median robust extended local binary pattern (MRELBP) feature for flawless image screening and an under-complete dictionary reconstruction method for defect point detection are proposed. …”
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SnowMamba: Achieving More Precise Snow Removal with Mamba by Guoqiang Wang, Yanyun Zhou, Fei Shi, Zhenhong Jia

“…This enables the precise localization and removal of snow particles, addressing the issue of residual snowflakes and shadows in images. …”
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Le droit d’accès à la nature en Europe du Nord : partage d’un capital environnemental et construction d’un espace contractuel by Camille Girault

“…Rather, frequent challenges, different interpretations of this right by the stakeholders and spatial cohabitation of many practices highlight the issue of the sharing of environmental capital. Hence, such sharing is expressed through spatial forms of contracts which often refer less to a segmentation of space than in forms of copresence. …”
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Consumer Behaviour and Food Waste in Greece: Insights from 2012 to 2024 by Theofanis Zacharatos, Prokopis Theodoridis

“…In developed countries, including Greece, food waste primarily occurs the final stage of consumption, making consumer behaviour a key factor in addressing this issue. This entry aims to highlight consumer behaviour regarding to food waste in Greece from 2012 to 2024 by synthesizing and evaluating published and unpublished research. …”
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Littoralisation et ségrégation socio-spatiale : le cas du quartier Balmer de San-Pédro (Côte d’Ivoire) by Florent Gohourou, Cédric Audebert, Émile Aurélien Ahua

“…This situation results in a segmentation of the coastline and the rise of xenophobic and even racist perceptions and behavior.…”
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Automated Rooftop Solar Panel Detection Through Convolutional Neural Networks by Simon Pena Pereira, Azarakhsh Rafiee, Stef Lhermitte

“…However, inconsistent data on installed photovoltaic (PV) systems complicate planning for an efficient grid expansion. To address this issue, deep-learning techniques, can support collecting data about PV systems from aerial and satellite imagery. …”
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Retracted: Image Analysis System of Intelligent Smart Home Based on VR by Chengmin Zhou, Ting Huang, Liang Shuang

“…The system uses 2D image processing, segmentation, and recognition to filter out information that is of interest to the image, which is helpful for a reasonable plan for smart homes. …”
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English Vocabulary Learning Aid System Using Digital Twin Wasserstein Generative Adversarial Network Optimized With Jelly Fish Optimization Algorithm by Fei Wu

“…The main goal of NLP is typically word segmentation. Since the machine learning techniques cannot be directly applied to the practical issue of significant structural disparities between various data modalities in a multi-modal context. …”
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A dynamic and adaptive class-balanced data augmentation approach for 3D LiDAR point clouds. by Bo Liu, Xiao Qi

“…However, the original collected 3D LiDAR point clouds often exhibit significant disparities in instance counts, which can hinder the effectiveness of point cloud segmentation. PolarMix, a data augmentation algorithm for 3D LiDAR point cloud datasets, addresses this issue by rotating and pasting selected class instances around the Z axis multiple times to enrich the distribution of the point cloud. …”
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Classification of melanoma skin Cancer based on Image Data Set using different neural networks by Rukhsar Sabir, Tahir Mehmood

“…Abstract This paper aims to address the pressing issue of melanoma classification by leveraging advanced neural network models, specifically basic Convolutional Neural Networks (CNN), ResNet-18, and EfficientNet-B0. …”
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