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  1. 2181

    A Multimodal Deep Learning Approach for Legal English Learning in Intelligent Educational Systems by Yanlin Chen, Chenjia Huang, Shumiao Gao, Yifan Lyu, Xinyuan Chen, Shen Liu, Dat Bao, Chunli Lv

    Published 2025-05-01
    “…With the development of artificial intelligence and intelligent sensor technologies, traditional legal English teaching approaches have faced numerous challenges in handling multimodal inputs and complex reasoning tasks. In response to these challenges, a cross-modal legal English question-answering system based on visual and acoustic sensor inputs was proposed, integrating image, text, and speech information and adopting a unified vision–language–speech encoding mechanism coupled with dynamic attention modeling to effectively enhance learners’ understanding and expressive abilities in legal contexts. …”
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  2. 2182

    ELNet: An Efficient and Lightweight Network for Small Object Detection in UAV Imagery by Hui Li, Jianbo Ma, Jianlin Zhang

    Published 2025-06-01
    “…To address this issue, we propose ELNet, an efficient and lightweight object detection model based on YOLOv12n. First, based on an analysis of UAV image characteristics, we strategically remove two A2C2f modules from YOLOv12n and adjust the size and number of detection heads. …”
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  3. 2183

    A Novel Geometric-Descriptor Based Algorithm for Individual-Level Crop Monitoring using UAVs by Y. Goswami, Y. Goswami, N. Ramprasad, S. N. Omkar

    Published 2025-07-01
    “…UAVs equipped with cameras are popular for farm monitoring and can capture images over time for further analysis. However, processing these images proves challenging due to varying lighting conditions, changes in scale due to height differences, orientation shifts based on the drone operator's skill, and fluctuating image quality depending on the camera. …”
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  4. 2184

    Liver Semantic Segmentation Method Based on Multi-Channel Feature Extraction and Cross Fusion by Chenghao Zhang, Lingfei Wang, Chunyu Zhang, Yu Zhang, Peng Wang, Jin Li

    Published 2025-06-01
    “…Semantic segmentation plays a critical role in medical image analysis, offering indispensable information for the diagnosis and treatment planning of liver diseases. …”
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    Article
  5. 2185

    Cómo construirse un hombre. Un caso clínico de arteterapia con un joven con síndrome de Down y conflicto en la identidad de género by Eva Cristina Mesas Escobar

    Published 2018-12-01
    “…</p><p>In the clinical case analysis, we can observe how the patient can give shape to everything that remains undefined inside, building an image of himself. …”
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  6. 2186

    Sustainable 3D-printing filaments and their applications by Szabolcs Szalai, Brigitta Fruzsina Szívós, Vivien Nemes, Szabolcs Fischer

    Published 2024-12-01
    “…Through a combination of tensile testing and Digital Image Correlation (DIC) analysis, the research highlights the displacement behavior and internal structural evolution of these materials under load-bearing conditions. …”
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  7. 2187

    Predicting cell morphological responses to perturbations using generative modeling by Alessandro Palma, Fabian J. Theis, Mohammad Lotfollahi

    Published 2025-01-01
    “…However, analyzing large and complex high-content imaging screenings remains challenging due to incomplete sampling of perturbations and the presence of technical variations between experiments. …”
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  8. 2188

    Ideal geometries in the military architecture of F. di Giorgio Martini. The defence system fortress-tower of Cagli by Paolo Clini, Ramona Quattrini, Daniela Amadei, Romina Nespeca

    Published 2015-09-01
    “…Two are subjects: the first one is the in-depth knowledge of the tower through the digital data obtained from the point cloud, the other one is the reconstruction of a global image of the complex tower-fortress.</p>…”
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  9. 2189

    Linking Job Design and Training in the Romanian Organizations by Cristian MARINAŞ

    Published 2009-10-01
    “…The value of the information regarding the particularities of human resources management in Romania is extremely important, because we undertook a complex analysis of the main human resources management activities in 150 Romanian companies. …”
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  10. 2190

    Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles by Samah Alzanin

    Published 2025-06-01
    “…Therefore, this paper proposes a Complex Data Analysis for Adverse Weather Detection in Autonomous Vehicles Using Explainable Artificial Intelligence (CDAAWD-AVXAI) approach. …”
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  11. 2191

    Seeing and Reasoning: A Simple Deep Learning Approach to Visual Question Answering by Rufai Yusuf Zakari, Jim Wilson Owusu, Ke Qin, Tao He, Guangchun Luo

    Published 2025-04-01
    “…Ablation studies confirm the critical contribution of key components, such as the reasoning module and co-attention mechanism, to the model’s effectiveness. Qualitative analysis of the learned attention distributions further illustrates the model’s dynamic reasoning process, adapting to task complexity. …”
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  12. 2192

    Automatic identification of slip pathways in ductile inorganic materials by combining the active learning strategy and NEB method by Jun Luo, Tao Fan, Jiawei Zhang, Pengfei Qiu, Xun Shi, Lidong Chen

    Published 2025-02-01
    “…Our computational approach consists of two key stages: first, an active learning strategy is utilized to efficiently and accurately model the interlayer slip potential energy surfaces; second, the climbing image nudged elastic band method is employed to identify minimum energy pathways, followed by comparative analysis to determine the final slip pathway. …”
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  13. 2193

    MemesViTa: A Novel Multimodal Fusion Technique for Troll Memes Identification by Tipu Sultan, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Saad Aldosary, Walid El-Shafai

    Published 2024-01-01
    “…In this research, we propose MemesViTa, a novel multimodal fusion model that combines Vision Transformer (ViT) for image processing and DeBERTa for textual analysis, specifically designed to detect troll memes with high accuracy. …”
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  14. 2194

    Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine by Hanna M. Hieromnimon, James Dolezal, Kristina Doytcheva, Frederick M. Howard, Sara Kochanny, Zhenyu Zhang, Robert L. Grossman, Kevin Tanager, Cindy Wang, Jakob Nikolas Kather, Evgeny Izumchenko, Nicole A. Cipriani, Elana J. Fertig, Alexander T. Pearson, Samantha J. Riesenfeld

    Published 2025-08-01
    “…Results Applying our histologically integrated latent space analysis to SCCs revealed sets of genes associated with both pathologist-interpretable image features and clinically relevant processes, including immune response, collagen remodeling, and fibrosis, going beyond predictions of individual molecular features. …”
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  15. 2195

    AI-driven multimodal colorimetric analytics for biomedical and behavioral health diagnostics by Desta Haileselassie Hagos, Saurav Keshari Aryal, Patrick Ymele-Leki, Legand L. Burge

    Published 2025-01-01
    “…We review recent advancements in Image 5-enabled colorimetric analysis and multimodal data fusion for healthcare applications, emphasizing innovations in Image 6-assisted biosensors, Image 7-driven biomedical imaging, and multimodal fusion techniques. …”
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  16. 2196

    MULTIMODALITY AND NEUROCOPYWRITING AS DIGITAL COMMERCIAL NARRATIVE STRATEGIES by Iryna P. Voloshchuk, Nataliia V. Glinka

    Published 2023-12-01
    “…Zhabotynska) should cause a certain emotional reaction (surprise, expectation, trust) in the consumer, constructing a certain image. The purpose of creating such an image is to set the consumer in a positive mood and create motivational incentives. …”
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  17. 2197

    Clinical internship experience of African undergraduate nursing students in China: a descriptive qualitative study by Lingxi Chen, Chao Xu, Yunxian Zhou

    Published 2025-02-01
    “…Conventional content analysis was used for data analysis. Results Five categories and twelve subcategories were identified through the analysis: multiple challenges (language is an issue, identity embarrassment, peer pressure); accepting challenges (having to accept, being able to accept); making personal efforts (self-image managing, self-reflecting and improving); being not alone (preceptors are strong backings, mutual assistance among fellow students, patients provide trust and warmth); and growing up as a real nurse (increasing nursing knowledge and skills, enhancing nursing professional quality). …”
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  18. 2198

    Urban modelling experiences for the representation of the historical city in Holy Land by Sandro Parrinello, Francesca Picchio, Raffaella De Marco

    Published 2018-12-01
    “…The translation of the urban image into complex drawings is accomplished to replicate the characteristics of the real space, in order to entrust the virtual quality useful for configuring management tools and manipulating information. …”
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  19. 2199

    Study of spectral overlap and heterogeneity in agriculture based on soft classification techniques by Shubham Rana, Salvatore Gerbino, Petronia Carillo

    Published 2025-06-01
    “…Methodological approach: • Integrating advanced image processing techniques and vegetative band ratios with the fuzzy classification method MPCM to handle the inherent complexities in agricultural image analysis, such as spectral overlap and mixed boundaries. • Quantitative assessment of classification accuracy using Fuzzy Error Matrices (FERM).This approach provides a robust framework for analyzing spectral overlaps among the crops and weeds and improving the accuracy of crop classification, particularly in heterogeneous environments.…”
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  20. 2200

    WHU-PA3D: Qaidam Basin Planetary Analogous-3D Dataset by A. Jin, A. Jin, A. Jin, C. Chen, C. Chen, C. Chen, Y. Xu, Y. Xu, Y. Xu, Y. Cong, W. Wu, L. Li, Y. Li, Y. Li, Y. Li, B. Yang, B. Yang, B. Yang

    Published 2025-07-01
    “…It integrates multimodal data, including RGB imagery, LiDAR, and IMU measurements, offering a realistic testing platform for SLAM and image classification algorithms. Benchmarking experiments reveal the strengths and limitations of existing algorithms in handling complex and unstructured environments. …”
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