Search Results - "Muhammad Munsif"

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  1. 1

    An Adaptive Game-Based Learning Strategy for Children Road Safety Education and Practice in Virtual Space by Khan, Noman, Muhammad, Khan, Hussain, Tanveer, Nasir, Mansoor, Munsif, Muhammad, Imran, Ali Shariq, Sajjad, Muhammad

    Published in Sensors (Basel, Switzerland) (25-05-2021)
    “…Virtual reality (VR) has been widely used as a tool to assist people by letting them learn and simulate situations that are too dangerous and risky to practice…”
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    Journal Article
  2. 2

    Deepdive: A Learning-Based Approach for Virtual Camera in Immersive Contents by Muhammad Irfan, Muhammad Munsif

    Published in Virtual Reality & Intelligent Hardware (01-06-2022)
    “…A 360° video stream provide users a choice of viewing one’s own point of interest inside the immersive contents. Performing head or hand manipulations to view…”
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    Journal Article
  3. 3

    Serious Games in Science Education. A Systematic Literature Review by Mohib Ullah, Sareer Ul Amin, Muhammad Munsif, Utkurbek Safaev, Habib Khan, Salman Khan, Habib Ullah

    Published in Virtual Reality & Intelligent Hardware (01-06-2022)
    “…Teaching science through computer games, simulations, and artificial intelligence (AI) is an increasingly active research field. To this end, we conducted a…”
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    Journal Article
  4. 4

    Automated Wheat Diseases Classification Framework Using Advanced Machine Learning Technique by Khan, Habib, Haq, Ijaz Ul, Munsif, Muhammad, Mustaqeem, Khan, Shafi Ullah, Lee, Mi Young

    Published in Agriculture (Basel) (01-08-2022)
    “…Around the world, agriculture is one of the important sectors of human life in terms of food, business, and employment opportunities. In the farming field,…”
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    Journal Article
  5. 5

    Optimized deep learning-based cricket activity focused network and medium scale benchmark by Ahmad, Waqas, Munsif, Muhammad, Ullah, Habib, Ullah, Mohib, Alsuwailem, Alhanouf Abdulrahman, Jilani Saudagar, Abdul Khader, Muhammad, Khan, Sajjad, Muhammad

    Published in Alexandria engineering journal (15-07-2023)
    “…The recognition of different activities in sports has gained attention in recent years for its applications in various athletic events, including soccer and…”
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    Journal Article
  6. 6

    Industrial defective chips detection using deep convolutional neural network with inverse feature matching mechanism by Ullah, Waseem, Khan, Samee Ullah, Kim, Min Je, Hussain, Altaf, Munsif, Muhammad, Lee, Mi Young, Seo, Daeho, Baik, Sung Wook

    “…Abstract The growing demand for high-quality industrial products has led to a significant emphasis on image anomaly detection (AD). Anomaly detection in…”
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    Journal Article
  7. 7

    Assessment of soil compaction properties based on surface wave techniques by Jafri, Nur Jihan Syamimi, Ab Rahim, Mohd Asri, Mohd Zahid, Mohd Zulham Affandi, Bawadi, Nor Faizah, Ahmad, Muhammad Munsif, Mansor, Ahmad Faizal, Wan Omar, Wan Mohd Sabki

    Published in E3S Web of Conferences (01-01-2018)
    “…Soil compaction plays an important role in every construction activities to reduce risks of any damage. Traditionally, methods of assessing compaction include…”
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    Journal Article Conference Proceeding
  8. 8

    First principles study of the structural, mechanical and optical properties of argyrodite-structured Ag6PS5X (X= Br, I) compounds by Munsif, Muhammad, Neffati, R., Shah, Matiullah, Khan, Suliman, Waqar Ashraf, Muhammad, Murtaza, G.

    Published in Solid state communications (01-10-2023)
    “…Argyrodite-structured sulphides solid electrolytes, which are currently the most widely utilized solid electrolytes for all-solid-state battery manufacturing…”
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    Journal Article
  9. 9

    Contextual visual and motion salient fusion framework for action recognition in dark environments by Munsif, Muhammad, Khan, Samee Ullah, Khan, Noman, Hussain, Altaf, Kim, Min Je, Baik, Sung Wook

    Published in Knowledge-based systems (25-11-2024)
    “…Infrared (IR) human action recognition (AR) exhibits resilience against shifting illumination conditions, changes in appearance, and shadows. It has valuable…”
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    Journal Article
  10. 10

    Darkness-Adaptive Action Recognition: Leveraging Efficient Tubelet Slow-Fast Network for Industrial Applications by Munsif, Muhammad, Khan, Noman, Hussain, Altaf, Kim, Min Je, Baik, Sung Wook

    “…Infrared (IR) technology has emerged as a solution for monitoring dark environments. It offers resilience to shifting illumination, appearance changes, and…”
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    Journal Article
  11. 11

    First principles study of the structural, mechanical and optical properties of Li6PS5X (X= Cl, I) argyrodite compounds by Munsif, Muhammad, Shah, Matiullah, Ullah, Zakir, Ashraf, Muhammad Waqar, Fayaz, Muhammad, Alsalmah, Hessa A., Murtaza, G.

    Published in Physica. B, Condensed matter (15-07-2023)
    “…Phosphorus-containing argyrodite are now gaining high attention for energy storage devices. Here, the electronic, structural, optical and elastic properties of…”
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    Journal Article
  12. 12

    Optimized efficient attention-based network for facial expressions analysis in neurological health care by Munsif, Muhammad, Sajjad, Muhammad, Ullah, Mohib, Tarekegn, Adane Nega, Cheikh, Faouzi Alaya, Tsakanikas, Panagiotis, Muhammad, Khan

    Published in Computers in biology and medicine (01-09-2024)
    “…Facial Expression Analysis (FEA) plays a vital role in diagnosing and treating early-stage neurological disorders (NDs) like Alzheimer’s and Parkinson’s…”
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    Journal Article
  13. 13

    Medium Scale Benchmark for Cricket Excited Actions Understanding by Hussain, Altaf, Khan, Noman, Munsif, Muhammad, Kim, Min Je, Baik, Sung Wook

    “…The Sports Action Recognition (SAR) domain is of significant importance in research, with diverse applications, ranging from aiding coaches in strategic…”
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    Conference Proceeding
  14. 14

    A Lightweight Convolution Neural Network for Automatic Disasters Recognition by Munsif, Muhammad, Afridi, Hina, Ullah, Mohib, Khan, Sultan Daud, Alaya Cheikh, Faouzi, Sajjad, Muhammad

    “…This paper proposed a lightweight, efficient Convolution Neural Network model for automatic disaster recognition from aerial images. The model consists of a…”
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    Conference Proceeding