Browsing by Author "Saba, Sabrina"

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    Contribution of Robotics in Medical Applications A Literary Survey
    (Daffodil International University, 2022-05-13) Himel, Abdul Hadi; Boby, Farjana Abedin; Saba, Sabrina; Akhund, Tajim Md. Niamat Ullah; Ali, K. M. Akkas
    This paper provides an overview of robotics in medical science. After discussing the basic medical robot’s idea, the future of medical robotics and the types of medical application are also discussed. One of the ambitions of this work is to deeply discuss the challenges and difficulties of medical robots. This paper presents year-wise discussion of medical robots which provides a throughout idea about what is happening in medical robots from the last 30 years to the next 30 years.
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    Image Analysis for Classifying Forest Fire Using Deep Learning
    (Daffodil International University, 23-02-12) Saba, Sabrina; Hossain, Sazzad
    80% of all living things on earth depend on forests as part of their ecosystem for food and shelter. For most of their existence, Homo humans lived in forests. Forests are at risk from forest fires. Because woods exist, there will always be forest fires. Uncontrolled forest fires occur in foliage that is taller than 1.8 meters (6 feet). Researchers’ interest in the topic of fire detection in pictures using computer vision and image processing techniques has significantly increased during the last few years. This study compares various deep learning-based algorithms for detecting forest fires. The dataset is classified using five different DL methods: VGG 16, Inception V3, VGG19, MobileNetV2, and DenseNet201. The dataset, which includes 18,344 images divided into four groups (fire, nonfire, smoke, and fog). Forest fire forecasts are more accurate, according to the experimental investigation, with DenseNet201 having the highest accuracy (96.40%).