An efficient cost calculation method for disparity estimation of stereo matching considering shadow occlusion by Hongjun Sha, Wei Yuan, Xunping Wang, Xiuliu Yuan, Shunichi Koshimura

“…This makes the model robust and overcomes the singleness of the threshold segmentation method. Then, an edge feature term considering both the shadow and non-shadow areas is constructed and introduced into the matching cost calculation to form MCSP that can make the edges of the disparity estimation results as complete and smooth as possible. …”
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Environmental regulation, green innovation, and international competitiveness of manufacturing enterprises in China: From the perspective of heterogeneous regulatory tools. by Yuanhong Hu, Sheng Sun, Yixin Dai

“…Considering the environmental governance issues, the policy implications for enhancing the entire industrial chain and enterprises' export competitiveness are clear. …”
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MDFusion: Multi-Dimension Semantic–Spatial Feature Fusion for LiDAR–Camera 3D Object Detection by Renzhong Qiao, Hao Yuan, Zhenbo Guan, Wenbo Zhang

“…Specifically, image semantic features are extracted using the DeepLabV3 segmentation network, which captures rich contextual information and is aligned with LiDAR point cloud voxel features through a summation operation to achieve precise semantic fusion. …”
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Automated Implementation of the Edinburgh Visual Gait Score (EVGS) by Ishaasamyuktha Somasundaram, Albert Tu, Ramiro Olleac, Natalie Baddour, Edward D. Lemaire

“…However, its manual implementation is resource-intensive and requires time, expertise, and a controlled environment for video recording and analysis. To address these issues, an automated approach for scoring the EVGS was developed. …”
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Accurate Detection and Tracking of Small-Scale Vehicles in High-Altitude Unmanned Aerial Vehicle Bird-View Imagery by Heshan Zhang, Xin Tan, Mengwei Fan, Cunshu Pan, Zhanji Zheng, Shuang Luo, Jin Xu

“…Furthermore, an image segmentation method is proposed to effectively reduce missed and false detection events. …”
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Transmission in interprofessional humanitarian teamwork: a scoping review by Galaad Lefay, Pierre-Yves Therriault, Catherine Delgoulet

“…These changes, which aim to standardize and harmonize practices, have also added issues of worker retention, creation of intercultural and interprofessional teamwork, skills development, health, and maintaining expertise in the fields. …”
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Effective Marine Monitoring with Multimodal Sensing and Improved Underwater Robotic Perception towards Environmental Protection and Smart Energy Transition by Hamidreza FARHADI TOLIE, REN Jinchang, Md Junayed HASAN, MA Ping, Somasundar KANNAN, LI Yinhe

“…Depth images from the stereo camera are enhanced using a Depth-Anything model, addressing underwater-specific issues like noise, missing regions, and light attenuation, achieving accurate depth maps for distances up to 1.2 meters underwater. …”
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The Research on Precise Monitoring Methods for Grain Planting Areas Based on High-precision UAV Remote Sensing Images by XU Chang, WANG Chunxiao, LIU Lu, YAN Xiaobin, LIU Xiaojuan, Chen Hui, CHENG Mingxing, FAN Yewen

“…This study aims to address the issues of low efficiency, high cost, and insufficient accuracy in traditional rice cultivation range monitoring methods. …”
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A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement by Zhongmin Huangfu, Yibo Jiao, Fupeng Wei, Ge Shi, Hangcheng Dong

“…Current deep neural network visual interpretation approaches have issues including erroneous target localization. This study proposes an Affine Transformation and Pseudo Label Refinement (AT-CAM) method. …”
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Predicting fertilizer treating of maize using digital image processing and deep learning approaches by Eshete Derb Emiru, Kassie Bishaw

“…Abstract The quality and quantity of maize yields are declining as a result of several structural issues with Ethiopia’s traditional maize producing system. …”
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Framing ecosystem services to change behavior: economic vs. cultural benefits debate overshadowed by political orientation, place attachment, and lakefront residence by Diana Hackenburg, Brendan Fisher, Rachelle K. Gould

“…Ecosystem services may serve as a powerful communications concept in that they frame environmental issues through their effects on human well-being. …”
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Design of improved JAYA algorithm for cigarette finished product logistics delivery by Jun Wen, Yewei Hu, Le Li, Zongrui Wu, Guangwei Xiao, Kai Guo, Lei Li

“…This has given rise to salient issues, including elevated distribution costs and diminished delivery efficiency. …”
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Boosting Urban Openspace Mapping with the Enhancement Feature Fusion of Object Geometry Prior Information from Vision Foundation Model by Zijian Xu, Jiajun Chen, Hongyang Niu, Runyu Fan, Dingkun Lu, Ruyi Feng

“…However, the challenges of high inter-class similarity, complex environmental surroundings, and scale variations often result in suboptimal performance in UO mapping. To address these issues, this paper proposes UOSAM, a novel approach that leverages the Segment Anything Model (SAM) for efficient UO mapping using high-resolution remote sensing images. …”
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Lightweight Spatial–Spectral Shift Module With Multihead MambaOut for Hyperspectral Image Classification by Yi Liu, Yanjun Zhang, Yu Guo, Yunchao Li

“…Additionally, it addresses the issues of redundancy in shallow information. To enable deployment on microprocessors and effectively classify hyperspectral images, we optimized the MambaOut network by integrating the S²SM with a multihead MambaOut (LS²SM-MHMambaOut). …”
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Unraveling Cyberbullying Dynamis: A Computational Framework Empowered by Artificial Intelligence by Liliana Ibeth Barbosa-Santillán, Bertha Patricia Guzman-Velazquez, Ma. Teresa Orozco-Aguilera, Leticia Flores-Pulido

“…Weapon detection is a complex task due to the variability in object exposures and differences in weapon shapes, sizes, orientations, colors, and image capture methods. Segmentation issues and the presence of background objects or people further compound this complexity. …”
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Preliminary Study on Real-Time Phonocardiogram Signal Acquisition and Analysis Using Machine Learning and IoMT for Digital Stethoscope by M. Kalimuthu, C. Hemanth

“…These sounds are filtered, amplified, and transmitted to healthcare providers through the Internet of Medical Things (IoMT), enabling remote visualization and auscultation. Advanced signal segmentation and classification were performed using machine learning algorithms, including K-Nearest Neighbor (KNN) and Support Vector Machine (SVM). …”
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Waveshift Augmentation: A Physics-Driven Strategy in Fine-Grained Plant Disease Classification by Gent Imeraj, Hitoshi Iyatomi

“…These issues arise because symptom-identifying features are often weak and diverse, and domain differences can overshadow these distinctions. …”
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Enhancing communication with elderly and stroke patients based on sign-gesture translation via audio-visual avatars by Saleh Kawther Thabt, Karim Abdulamir Abdullah

“…For gesture detection and classification, YOLOv8n was used; for segmentation, traditional U-Net, U-Net with VGG16, and U-Net with MobileNetV2 based on multi-stage image segmentation were used; for classification, MobileNetV1 and MobileNetV2 were used. …”
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Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance by Valerie Zermatten, Xiaolong Lu, Javiera Castillo-Navarro, Tobias Kellenberger, Devis Tuia

“…While existing approaches to fight class imbalance mainly focus on image classification, here we propose to address this issue for semantic segmentation with a multiple complementary experts (MCE) structure. …”
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TIMA-Net: A Lightweight Remote Sensing Image Change Detection Network Based on Temporal Interaction Enhancement and Multi-Scale Aggregation by Zhijun Zhou, Xuejie Zhang, Xiaoliang Luo, Lvchun Wang, Wei Yu, Shufang Xu, Longbao Wang

“…Specifically, TIMA-Net designs a temporal interaction enhancement module based on dual-branch and coordinate attention and combines channel segmentation and multi-scale features to enhance the representation ability of the changed region. …”
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