ATHIYA MARIUM - Profile on Academia.edu (original) (raw)
Related Authors
Uploads
Papers by ATHIYA MARIUM
BERT Model for Classification of Fake News using the Cloud Processing Capacity
2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)
1,3Professor, Dept. of Information Science and Engineering, R V College, Karnataka, INDIA 2,4Dept... more 1,3Professor, Dept. of Information Science and Engineering, R V College, Karnataka, INDIA 2,4Dept. of Information Science and Engineering, R V College, Karnataka, INDIA ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Object detection is important for computer vision. The problems such as noise, blurring and rotating jitter, etc. with images in real-world have an important impact on object detection. The objects can be detected in real time using YOLO (You only look once), an algorithm based on convolutional neural networks. This paper addresses the various modifications done to YOLO network which improves the efficiency of object detection.
Hand Gesture Recognition using Webcam
American Journal of Intelligent Systems, 2017
The communication between the user and the computer can be done through various input devices suc... more The communication between the user and the computer can be done through various input devices such as thekeyboard, mouse etc. However, this paper presents a more natural and intuitive form of communication i.e. via hand gestures. The gesture performed by the user is recognised and the action specific to it is performed, thus eliminating the use of any of the hardware input devices completely. This method makes use of image processing to recognise the gestures and has built in functions for every gesture provided by the PyAutoGUI module. It is coded in Python and uses the OpenCV library. Experiments show that the implementation is reliable enough for practical use.
BERT Model for Classification of Fake News using the Cloud Processing Capacity
2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)
1,3Professor, Dept. of Information Science and Engineering, R V College, Karnataka, INDIA 2,4Dept... more 1,3Professor, Dept. of Information Science and Engineering, R V College, Karnataka, INDIA 2,4Dept. of Information Science and Engineering, R V College, Karnataka, INDIA ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Object detection is important for computer vision. The problems such as noise, blurring and rotating jitter, etc. with images in real-world have an important impact on object detection. The objects can be detected in real time using YOLO (You only look once), an algorithm based on convolutional neural networks. This paper addresses the various modifications done to YOLO network which improves the efficiency of object detection.
Hand Gesture Recognition using Webcam
American Journal of Intelligent Systems, 2017
The communication between the user and the computer can be done through various input devices suc... more The communication between the user and the computer can be done through various input devices such as thekeyboard, mouse etc. However, this paper presents a more natural and intuitive form of communication i.e. via hand gestures. The gesture performed by the user is recognised and the action specific to it is performed, thus eliminating the use of any of the hardware input devices completely. This method makes use of image processing to recognise the gestures and has built in functions for every gesture provided by the PyAutoGUI module. It is coded in Python and uses the OpenCV library. Experiments show that the implementation is reliable enough for practical use.