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  1. 10341

    Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

    Published 2024-06-01
    “…Detecting epileptic seizures automatically through intelligent methods has been a main challenge in recent years. …”
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  2. 10342

    Guest Editorial: Anomaly detection and open‐set recognition applications for computer vision by Hakan Cevikalp, Robi Polikar, Ömer Nezih Gerek, Songcan Chen, Chuanxing Geng

    Published 2024-12-01
    “…This special issue calls for original contributions introducing novel datasets, innovative architectures, and advanced training methods for tasks related to visual anomaly detection and open‐set recognition.…”
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    Article
  3. 10343

    Contextual Attribution Maps-Guided Transferable Adversarial Attack for 3D Object Detection by Mumuxin Cai, Xupeng Wang, Ferdous Sohel, Hang Lei

    Published 2024-11-01
    “…Subsequently, perturbations are generated under the guidance of a dual loss, which is proposed to suppress the detection results and maintain visual imperception simultaneously. The experimental results proved that the CAMGA method achieved an attack success rate of over 68% on three large-scale datasets and 83% on the KITTI dataset. …”
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  4. 10344

    Use of End-to-End Tool for the Analysis of the Digital Governance of Ports by Nicoletta González-Cancelas, Alberto Camarero Orive, Alberto Rivas Vilarchao, Javier Vaca-Cabrero

    Published 2024-06-01
    “…In addition, it provides an intuitive and easy-to-use interface to visualize results and make evidence-based decisions. …”
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    Article
  5. 10345

    Intelligent BIM Searching via Deep Embedding of Geometric, Semantic, and Topological Features by Pin-Hao Huang, Sheng-Yu Song, Zhen Xu, Zhen-Zhong Hu, Jia-Rui Lin

    Published 2025-03-01
    “…Experiments show that the proposed approach demonstrates an efficiency of 780 times greater than manual retrieval methods and 4–6% more efficient than traditional methods. …”
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    Article
  6. 10346

    Non-local spatiotemporal fusion incorporating optical flow estimation and spatial-spectral mitigation-based residual by Yaxu Wang, Xiaobo Luo, Hongwei Ye

    Published 2025-12-01
    “…Extensive experiments demonstrate that our method outperforms other weighted-based methods visually and quantitatively.…”
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    Article
  7. 10347

    A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX) by Jong-Hwan Jang, Yong-Yeon Jo, Sora Kang, Jeong Min Son, Hak Seung Lee, Joon-myoung Kwon, Min Sung Lee

    Published 2025-07-01
    “…Through a series of validation experiments, the framework demonstrates its ability to produce counterfactual ECGs that closely align with established clinical knowledge, including characteristic alterations associated with potassium imbalances and atrial fibrillation. By clearly visualizing how incremental modifications in ECG morphology and rhythm affect artificial intelligence-applied ECG (AI-ECG) predictions, this generative counterfactual method moves beyond static attribution maps and has the potential to increase clinicians’ trust in AI-ECG systems. …”
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    Article
  8. 10348

    The paradigm of the digital society: synthesis of technocratic and socio-humanitarian approaches by Sholpan Jamanbalayeva, Elena Burova, Ayazhan Sagikyzy, Dinara Zhanabayeva, Alyona Adamidi

    Published 2025-12-01
    “…The article employs a triangulation method: it analyzes data from an international digital readiness index study, examines and visualizes national statistical data and digitalization program indicators and presents the results of a sociological study on societal digitalization conducted by the authors. …”
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    Article
  9. 10349

    Data Augmentation-Driven Improvements in Malignant Lymphoma Image Classification by Sandi Baressi Šegota, Vedran Mrzljak, Ivan Lorencin, Nikola Anđelić

    Published 2025-06-01
    “…However, the effectiveness of such methods is often constrained by the limited availability of annotated medical data. …”
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    Article
  10. 10350

    Simulations and Experiments on Vibration Control of Aerospace Thin-Walled Parts via Preload by Qiong Wu, Lei Li, Yi-Du Zhang

    Published 2017-01-01
    “…Thus, this research introduces the method where vibration of aerospace thin-walled parts is reduced by preload. …”
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    Article
  11. 10351

    RIS-UNet: A Multi-Level Hierarchical Framework for Liver Tumor Segmentation in CT Images by Yuchai Wan, Lili Zhang, Murong Wang

    Published 2025-07-01
    “…Extensive experiments on the LiTS17 dataset demonstrate the effectiveness of our method on accuracy, efficiency, and visual results for liver tumor segmentation.…”
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    Article
  12. 10352
  13. 10353

    Human lymph node microvascular imaging using a fast contrast-free super-resolution ultrasound technique by Mostafa Amin Naji, Nathalie Sarup Panduro, Seyed Mohammad Mahdi Tabatabaei Majd, Lauge Naur Hansen, Iman Taghavi, Amy McDermott, Carsten Gundlach, Borislav Gueorguiev Tomov, Michael Bachmann Nielsen, Charlotte Mehlin Sørensen, Jørgen Arendt Jensen

    Published 2025-07-01
    “…The SURE approach offers a fast contrast-free method for assessing human lymph node microvascular characteristics, providing a promising tool for lymph node evaluation in clinical settings.…”
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  14. 10354

    Furrow Irrigation system in Ethiopia, a limitation in the rational use of water in agriculture and its performance by Addisu Asefa Mangesha

    Published 2024-11-01
    “…The furrow irrigation method can be highly effective when used correctly, but it can also be quite ineffective when used incorrectly. …”
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  15. 10355

    Identifying and Analyzing the Effects of Urban Creep on the Situation Development of Rural Areas around (Case Study: Villages around of Marivan City) by saadi mohammadi, askandar moradi, Sharmin hosaini

    Published 2020-03-01
    “…Data gathering in the theoretical part of the documentary and in the field was conducted by a survey method based on an interview with the local people and the locals to identify the outcomes, and then the classical distribution of the questionnaire among the studied villages and simple random among 203 households supervised by The Cochran formula was determined by volume, 30 from local development experts and observers of the status quo, in order to generalize the findings from the interviews. …”
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  16. 10356

    The Violent Hero and the Heroism of Violence: Narratological Investigation of Aggressive Lyrical Content of Contemporary Punjabi Pop Songs by Kaptan Singh

    Published 2025-06-01
    “…The titles, lyrics, beat, narratives, and video visuals are taken into cognizance to ascertain the elements of violence in the lyrics of contemporary Punjabi pop songs. …”
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  17. 10357

    Hourglass attention for image super-resolution by Ling Xu, Yian Huang, Xiaoping Lin

    Published 2025-08-01
    “…Extensive experiments on public datasets show that HGFormer outperforms existing methods in both objective metrics and visual quality.…”
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  18. 10358

    Towards Effective Participation: A Stakeholder-Centered Evaluation for Aggregating Spatially Explicit Data by Sebastian Leahy, Eduardo Dias

    Published 2024-11-01
    “…Subsequently, a follow-up study was employed to validate the perceived feeling of ownership among both of the methods in terms of the stakeholders’ sense of community representation within the visual outputs. …”
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  19. 10359

    Perancangan Sistem Penunjang Keputusan Investasi Daerah Berbasis Webgis di Provinsi Sumatera Barat (Studi Kasus Badan Koordinasi Penanaman Modal Provinsi Sumatera Barat) by Difana Meilani, Ryan Amirulfiras

    Published 2016-04-01
    “…Next step is using Unified Modeling Language (UML) method to provide, represent and visualize the system. …”
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  20. 10360

    SiNC: Saliency-injected neural codes for representation and efficient retrieval of medical radiographs. by Jamil Ahmad, Muhammad Sajjad, Irfan Mehmood, Sung Wook Baik

    Published 2017-01-01
    “…In this paper, we present an efficient method for representing medical images by incorporating visual saliency and deep features obtained from a fine-tuned convolutional neural network (CNN) pre-trained on natural images. …”
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