Anshita Gupta
Biographic Data
| ID | 8968672 |
|---|---|
| NAME | Anshita Gupta |
| GIVEN NAMES | Anshita |
| FAMILY NAME | Gupta |
| SIGNATURE | GUPTA A |
| AFFILIATIONS | Indian Institute of Technology Kharagpur |
| ORCID | 0000-0001-7997-9431 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Art, Media and Social Change
Communication programs by the government are significant in creating awareness regarding the welfare programs and empowerment programs especially in rural areas whereby the access to formal sources of information is not as high. Advertisements in the public are often based on visual media and artistic components that enable people to convey policy messages in a way that is interesting and easy to understand. These campaigns cannot be effective un…
FedCare
In social IoMT systems, resource-constrained devices face the challenges of limited computation, bandwidth, and privacy in the deployment of deep learning models. Federated learning (FL) is one of the solutions to user privacy and provides distributed training among several local devices. In addition, it reduces the computation and bandwidth of transferring videos to the central server in camera-based IoMT devices. In this work, we design an edge…
Skipper
The social IoMT-based activity-monitoring system comprises several devices with different datasets. It faces challenges like a collection of a global activity dataset which comprises a myriad of activities. In this article, we propose a federated Siamese network-based data-independent group activity segregator—Skipper—which aims to identify anomalies in an activity-monitoring social IoMT system. The novelty of this work is that Skipper does not r…
No prominent works on this page.
FedCare
In social IoMT systems, resource-constrained devices face the challenges of limited computation, bandwidth, and privacy in the deployment of deep learning models. Federated learning (FL) is one of the solutions to user privacy and provides distributed training among several local devices. In addition, it reduces the computation and bandwidth of transferring videos to the central server in camera-based IoMT devices. In this work, we design an edge…
Skipper
The social IoMT-based activity-monitoring system comprises several devices with different datasets. It faces challenges like a collection of a global activity dataset which comprises a myriad of activities. In this article, we propose a federated Siamese network-based data-independent group activity segregator—Skipper—which aims to identify anomalies in an activity-monitoring social IoMT system. The novelty of this work is that Skipper does not r…
Art, Media and Social Change
Communication programs by the government are significant in creating awareness regarding the welfare programs and empowerment programs especially in rural areas whereby the access to formal sources of information is not as high. Advertisements in the public are often based on visual media and artistic components that enable people to convey policy messages in a way that is interesting and easy to understand. These campaigns cannot be effective un…
Computer network (2 works) · Computer Science (2 works) · Advanced Data and IoT Technologies (1 work) · Artificial Intelligence (1 work) · Cloud computing (1 work) · Computer security (1 work) · Context-Aware Activity Recognition Systems (1 work) · Distributed computing (1 work) · Edge computing (1 work) · Edge device (1 work)