How vividness and review quality influence purchase intention in mobile shopping by Anh Thi Van Pham, Trung Minh Ngo

“…Creating the experience involves utilizing vivid features and high-quality online reviews from previous consumers. …”
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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

“…Fusion of low- and high-level features facilitates final class distinction, with soft thresholding mitigating misclassification issues. …”
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Single-Frame Infrared Target Detection Based on Fast Content-Related Modeling by Zipeng Zhang, Xidong Zhao, Wenzheng Wang, Yuqi Han, Chenwei Deng, Zhuokai Li, Linbo Tang

“…Most of methods mainly concentrate on modeling global features, overlooking the variations in local features due to complex scenes. …”
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DEANE: Context-Aware Dual-Craft Graph Contrastive Learning for Enhanced Extractive Question Answering by Dongfen Ye, Jianqiang Zhou, Gang Huang

“…Ablation studies further demonstrate the effectiveness of the proposed approach in mitigating structural ambiguity, enhancing encoder flexibility, and improving model performance through multi-view data integration.…”
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ENDNet: Extra-Node Decision Network for Subgraph Matching by Masaki Shirotani, Motoki Amagasaki, Masato Kiyama

“…To address this, we propose ENDNet, a model that improves subgraph matching by detecting and mitigating the influence of extraneous nodes. ENDNet uses a denormalized matching matrix to identify extra nodes and neutralizes their impact by setting their feature values to zero before aggregation and convolution. …”
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UX-MAPPER: An automated approach to analyze app store reviews with a focus on UX by Walter T. Nakamura, Edson C. C. de Oliveira, Elaine H. T. de Oliveira, Tayana Conte

“…From the participants’ feedback, we defined a set of suggestions to extract more useful features, which can contribute to future studies involving user review analysis. …”
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DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation by Haiyan Liu, Yu Zeng, Hao Li, Fuxin Wang, Jianjun Chang, Huaping Guo, Jian Zhang

“…Additionally, the authors incorporate a self‐attention mechanism to capture global semantic information of high‐level features to guide the extraction and processing of low‐level features, thereby enhancing the model's understanding of the overall structure while maintaining details. …”
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Brain-Inspired Synergistic Adversarial Framework for Style Transfer-Guided Semantic Segmentation in Cross-Domain Remote Sensing Imagery by Xinyao Wang, Haitao Wang, Yuqian Jing, Xiaodong Li, Xianming Yang

“…Inspired by the cognitive mechanisms of the human brain, we propose a Brain-Inspired Style Transfer and Semantic Segmentation Collaborative Adversarial Framework (SAF), which mimics neural processes such as hierarchical perception, memory retrieval, and multimodal integration to enhance cross-domain feature alignment and segmentation performance. To achieve the joint optimization of style transfer and semantic segmentation networks, we introduce three key components: a Semantic-Aware Transformer Module (SATM) that dynamically captures and preserves essential semantic features during style transfer; a Semantic-Driven Multi-feature Memory Module (SMM) that stores and retrieves historical style and semantic information to improve domain adaptability; a Domain-Invariant Style-Semantic Center Space (DSCS) that aligns style and semantic features within a shared representation space, mitigating discrepancies between style and semantic domains. …”
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A dual-stream ordered topology-aware network for accurate fish counting in aquaculture environments by Jiaming Xin, Zhengmeng Wu, Tongtong Gu, Yiying Wang, Dashe Li, Bin Wang

“…These features are then aggregated via a dynamic restoration unit, effectively mitigating the long-tail problem caused by uneven fish distribution. …”
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Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor by Ananias Pereira Neto, Ananias Pereira Neto, Fabrício J. B. Barros

“…IntroductionWavelet thresholding techniques are crucial in mitigating noise in data communication and storage systems. …”
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MCRFS-Net: single image dehazing based on multi-scale contrastive regularization and frequency selection by Qin Qin, Lin Shui, Yanyan Zhang, Shaojing Song, Jinhua Jiang

“…The AMSM dynamically integrates multi-scale features through weighted fusion, effectively mitigating issues caused by non-uniform dehazing. …”
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A novel multimodel medical image fusion framework with edge enhancement and cross-scale transformer by Fei Luo, Daoqi Wu, Luis Rojas Pino, Weichao Ding

“…Additionally, a multi-path fusion strategy is introduced to disentangle deep and shallow features, mitigating feature loss during fusion. We conduct extensive experiments on the AANLIB dataset, evaluating CT-MRI, PET-MRI, and SPECT-MRI fusion tasks. …”
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Accurately Identifying Different Ripening Stages of Strawberry Fruits in Complex Agricultural Scenarios by Xuefeng Ren, Yang Gan, Huan Liu, Yongming Chen, Ping Lin

“…Simultaneously, self-calibrated convolutions are integrated to leverage spatial and channel reconstruction units, effectively mitigating feature redundancy across spatial and channel dimensions. …”
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Method for reconstructing safety and arming motion process by integrating Kalman filter and KCF by Yinhuan Zhang, Qinkun Xiao, Xing Liu, Yongquan Wei, Jingyun Xue

“…The methodology introduces key innovations: (1) Extraction of grayscale images and directional gradient histogram (HOG) features of the target, followed by the use of an Adaptive Wave PCA-Autoencoder (AWPA) method to accurately capture multi-modal and multi-scale features of the target; (2) Application of bilinear interpolation and hybrid filtering techniques to generate a spatial and temporal scale-adaptive bounding box for the filtered target, enabling dynamic adjustment of the tracking box size; (3) Integration of an occlusion-aware mechanism using average peak correlation energy (APCE) to trigger Kalman-based position prediction when the target is occluded, thus mitigating tracking drift. …”
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Transferring CLIP for visual grounding in remote sensing images by Linlin Liang, Yizhuo Quan, Chengbo Wang, Yuanfei Chang, Yanyou Qiao

“…This effectively enhances the feature representation of target objects, thereby mitigating issues such as scale variations and cluttered backgrounds in remote sensing imagery. …”
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Assessing ensemble models for carbon sequestration and storage estimation in forests using remote sensing data by Mehdi Fasihi, Beatrice Portelli, Luca Cadez, Antonio Tomao, Alex Falcon, Giorgio Alberti, Giuseppe Serra

“…However, adding CHM features significantly improves the models' performance for both targets. …”
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WormNet: A Multi-View Network for Silkworm Re-Identification by Hongkang Shi, Minghui Zhu, Linbo Li, Yong Ma, Jianmei Wu, Jianfei Zhang, Junfeng Gao

“…Specifically, we introduce a multi-order feature extraction module that captures a wide range of fine-grained features by utilizing convolutional kernels of varying sizes and parallel cardinality, effectively mitigating issues of high individual similarity and diverse poses. …”
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Smart contract vulnerability detection method based on Bi-modal cross-attention mechanism by CHEN Jinfu, HU Xinyi, CAI Saihua, MIN Xirun

“…Residual connections were introduced to effectively preserve and transmit original feature information, mitigating the vanishing gradient problem in deep network training. …”
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Study on the Effects of Internal Building Layouts on Tsunami-Driven Single-Container Motion by Yudou Hou, Tomoaki Nakamura, Yong-Hwan Cho, Norimi Mizutani

“…The results revealed that debris significantly altered the wave impact dynamics, increasing the force exerted on buildings regardless of their structural features. This study provides relevant insights into the effectiveness of different building layouts in mitigating damage, highlighting the critical role of buildings with internal walls perpendicular to the wave direction, which significantly mitigated the tsunami’s impact at specific regions.…”
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A Novel Variable Volume Capillary Microgripper for Micromanipulation in Aqueous Media by Enrique Mancha-Sánchez, Andrés J. Serrano-Balbontín, Inés Tejado, Blas M. Vinagre

“…This approach ensures extended working time and stable operation in water, mitigating the issues associated with evaporation common in other systems. …”
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