Showing 301 - 320 results of 408 for search 'For You and You Only', query time: 0.06s Refine Results
  1. 301

    Ship Target Detection Algorithm Based on Improved YOLOv3 for Maritime Image by Dehai Chen, Shiru Sun, Zhijun Lei, Heng Shao, Yuzhao Wang

    Published 2021-01-01
    “…This paper proposed a detection method of ships in water based on improved You Only Look Once version 3 (YOLOv3), which is called Feature Attention, Feature Enhancement YOLOv3 (AE-YOLOv3). …”
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    Article
  2. 302

    Automated recognition and segmentation of lung cancer cytological images based on deep learning. by Qingyang Wang, Yazhi Luo, Ying Zhao, Shuhao Wang, Yiru Niu, Jinxi Di, Jia Guo, Guorong Lan, Lei Yang, Yu Shan Mao, Yuan Tu, Dingrong Zhong, Pei Zhang

    Published 2025-01-01
    “…With the development of deep neural networks, the You Only Look Once (YOLO) object-detection model has been recognized for its impressive speed and accuracy. …”
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    Article
  3. 303

    Improved CLIP-ILP Model for Detecting Illegal Passenger Transport in Freight Trucks by Xuan Wu, Wenlin Pan

    Published 2025-01-01
    “…You can access the code for our proposed method at <uri>https://github.com/wu-xuan-git/CLIP-ILP</uri>.…”
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    Article
  4. 304

    Mobile ad-hoc networks: MANET by Mikarić Bratislav, Spalević Petar, Jakšić Branimir

    Published 2018-01-01
    “…As mobile phones have completely changed the meaning of the term to be available, a similar change in the wait and laptops users is, so it is only a matter of time before the new way to use your notebooks will change your habits and make life easier. …”
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    Article
  5. 305

    Biomedicine or Holistic Medicine for Treating Mentally Ill Patients? A Philosophical and Economical Analysis by Søren Ventegodt, Isack Kandel, Joav Merrick

    Published 2007-01-01
    “…The philosopher Buber taught us that you can say I-Thou or I-It, holding the other person as a subject or an object. …”
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    Article
  6. 306

    Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

    Published 2025-02-01
    “…However, implementing accurate and automated object detection algorithms mitigates these challenges, allowing errors or defects to be detected before processing. Version 5 of You Only Look Once (YOLO), a precisely optimized learning model, has undergone extensive testing on steel strip datasets, providing effective solutions for recognition and detection in industry environments. …”
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    Article
  7. 307

    Optimizing Convolution Operations for YOLOv4-based Object Detection on GPU by Guerrouj Fatima Zahra, Rodríguez Flórez Sergio, El Ouardi Abdelhafid, Abouzahir Mohamed, Ramzi Mustapha

    Published 2024-01-01
    “…Real-time object detection is crucial for autonomous vehicles, and YOLO (You Only Look Once) algorithms have demonstrated their effectiveness for this purpose. …”
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    Article
  8. 308

    State of the digital age: modeling of institutional transformations by D. V. Shelokov

    Published 2021-01-01
    “…Within the framework of social modeling, there are objective ways to form a behavioral image that allow you to predict the direction and content specifics of the development of many social processes. …”
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    Article
  9. 309

    Improving the selection of object-analogues of oil and gas fields in designing reservoir engineering by Alexander V. Karsakov, Pavel N. Zyatikov, Kirill V. Sinebriukhov, Irina V. Sharf

    Published 2025-01-01
    “…But according to the established practice, the choice of analogues is carried out only by the expert method, based on the search for the geographically closest objects being developed. …”
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    Article
  10. 310

    Changes in University Teacher’s Pedagogical Activity in the Context of Digitalization of Education by I. S. Batrakova, E. N. Glubokova, S. A. Pisareva, A. P. Tryapitsyna

    Published 2021-09-01
    “…The purpose of this article is to consider the changes in university teacher’s pedagogical activity in the conditions of a rapid transformation of higher education and propose a theoretical and empirical substantiation of the importance of teacher’s understanding of the value-semantic attitude to pedagogical activity, which is not limited only to mastering digital competencies, but consists in mastering pedagogical knowledge that allows you to critically analyze the productivity of modern educational strategies and methods.The conducted research was based on the methodology of post-non-classical science, which implies the widespread use of qualitative research methods that reflect the convergence of explanatory and interpretative research approaches, the use of representations, opinions, attitudes, and values of the research participants as full data.The article describes the results of studying the university teachers’ attitude to changes, the value orientations of the ongoing changes, as well as the main difficulties faced by university teachers in the context of digitalization of education – the design of educational and training programs, modern educational and methodological complex, the organization of productive self-directed work and communication with students in the educational process.The main directions of overcoming the identified difficulties are given – the construction of flexible curricula within the framework of the Federal State Educational Standard of Higher Education, the development of the digital educational environment of the university and updating the content of the professional development programs for teaching staff. …”
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    Article
  11. 311

    FD-YOLO: A YOLO Network Optimized for Fall Detection by Hoseong Hwang, Donghyun Kim, Hochul Kim

    Published 2025-01-01
    “…Because falls must be detected promptly, the YOLO (You Only Look Once) network, known for its effectiveness in real-time detection, was applied. …”
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    Article
  12. 312

    Multimodal Zero-Shot Shelf Deformation Detection Based on MEMS Sensors and Images by Hong Yan, Jingjing Fan, Yajun Liu

    Published 2025-01-01
    “…Simultaneously, cameras capture shelf images, and multiple You Only Look Once (YOLO) models are used to detect and classify critical components of the shelf, such as beams and columns. …”
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    Article
  13. 313

    Lessons from Deborah’ Inspiration and Implications on the Plight of Women Leadership in A Male Dominated Society: Significances for Today’s World by Rugyendo, Medard

    Published 2024
    “…The male Jews used to have the morning prayers that included “Blessed are you, LORD our God, Ruler of the Universe, who has not made me a woman.” …”
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    Article
  14. 314

    Medical Jousting: Going for the kill! by Dr.Fuad Ahmed Khan Niazi

    Published 2023-01-01
    “…For example: “It’s good that you have come to me; all your problems will now be cured, at last.” …”
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    Article
  15. 315

    Le continent noir du désir masculin : Colet et Flaubert, encore by Barbara Vinken

    Published 2010-09-01
    “…The investing of this fetish object is only the more evident, you might even say clinical, symptom of this fetishist disposition. …”
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    Article
  16. 316

    A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection by Eman H. Alkhammash

    Published 2025-01-01
    “…This study explores recent YOLO (You Only Look Once) deep-learning object detection models YOLOv9, YOLOv10, and YOLOv11 for detecting smoke and fire in forest environments. …”
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    Article
  17. 317

    Pondering Parotid Masses by Mark A Miller

    Published 2001-01-01
    “…What is your diagnosis, and how would you treat this patient?…”
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    Article
  18. 318

    Acquiring practical competencies through an open online course by N. V. Kaygorodtseva, V. B. Luzgina

    Published 2018-10-01
    “…For example, on the Internet you can study in the best universities, at the best courses, from the best teachers. …”
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    Article
  19. 319

    ONE OF THE WAYS OF PROCESSING AND ANALYSIS OF RESULTS OF THE PEDAGOGICAL EXPERIMENT by Elena N. Ryabinova, Yulia V. Gumennikova, Ruzilya N. Chernitsina

    Published 2015-10-01
    “…Determined the observed value of goodness-of-fit Pearson that allows you to install, after comparing them with critical values that all of the investigated random variable subject to normal distribution law. …”
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  20. 320

    Perception among Healthcare Professionals of the Use of Social Media in Translating Research Evidence into Clinical Practice in Mangalore by Bhaskaran Unnikrishnan, Priya Rathi, Daivik Shah, Abhay Tyagi, Anish V. Rao, Koyel Paul, Joe Tomy

    Published 2018-01-01
    “…Result. 97.3% used social media; however, only 63.4% used it for research. YouTube was the most preferred media. …”
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    Article