Convolutional neural network: an overview and application in image classification

S Tripathy, R Singh - Proceedings of Third International Conference on …, 2022 - Springer
As the field of artificial intelligence keeps progressing each year, it is noticeable how deep
learning is becoming a significant approach for information processing like image …

Unified preprocessing and enhancement technique for mammogram images

S Tripathy, T Swarnkar - Procedia Computer Science, 2020 - Elsevier
In developed countries, breast cancer is one of the foremost reasons for the increase in
mortality among women. Microcalcifications in breast tissue are one of the key indications …

Deep learning enhancement on mammogram images for breast cancer detection

C Singla, PK Sarangi, AK Sahoo, PK Singh - Materials Today: Proceedings, 2022 - Elsevier
The mortality rate due to breast cancer can be controlled if the process of classification of
breast lesions is done correctly which could be either malignant or benign. With the help of …

Performance observation of mammograms using an improved dynamic window based adaptive median filter

S Tripathy, T Swarnkar - Journal of Discrete Mathematical …, 2020 - Taylor & Francis
Breast cancer is one of the vital causes of an increase in the rate of mortality of women in
developing countries. Detection of masses in the breast tissue by the radiologists is a …

Automated home using firebase and Google assistant

S Tripathy, SS Das - Journal of Information and Optimization …, 2022 - Taylor & Francis
This manuscript is all about the internet of things in which we are making a house automated
using various Internet of Things (IoT) devices and sensors and controlling it over using …

Autoencoder: An unsupervised deep learning approach

S Tripathy, M Tabasum - Emerging Technologies in Data Mining and …, 2022 - Springer
With the advent of science and technology, it has been observed that autoencoder plays a
vital role in unsupervised learning and in deep architectures for many tasks like transfer …

Application of watershed algorithm in digital image processing

S Sekhar Mohanty, S Tripathy - … of the 6th International Conference on …, 2022 - Springer
Segmentation of image is the method of separating objects from its background. It is helpful
finding and deciding about which pixel belong to which objects. It is the process of making …

IoT for smart healthcare: opportunities, challenges and technology

S Tripathy, UM Mohapatra… - … conference on machine …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) has drawn a lot of attention in recent years because of its potential to
solve real world challenges observed in several application domains. Its expanding trans …

[PDF][PDF] Intelligent system development to monitor the neonatal behaviour: A review.

SAH Shah, A di Terlizzi, MA Deriu - DETERMINED, 2022 - ceur-ws.org
The early birth of children can be associated with neurodevelopmental disease onset. In
such cases, the lack of early diagnosis and early medical treatment negatively affects the …

MSDD: A Multimodal Language Dateset for Stance Detection

M Hu, P Liu, W Wang, H Zhang, C Lin - Workshop on Chinese Lexical …, 2022 - Springer
Stance Detection is the task of automatically determining whether the author of a text is
positive, negative, or neutral towards a given target. Correct detecting stance is conducive to …