Dinesh Kumar Vishwakarma
Biographic Data
| ID | 1993318 |
|---|---|
| NAME | Dinesh Kumar Vishwakarma |
| GIVEN NAMES | Dinesh Kumar |
| FAMILY NAME | Vishwakarma |
| SIGNATURE | VISHWAKARMA D K |
| AFFILIATIONS | Delhi Technological University |
| ORCID | 0000-0002-2421-6995 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
An Emotion-Aware Multitask Approach to Fake News and Rumor Detection Using Transfer Learning
Social networking sites, blogs, and online articles are instant sources of news for internet users globally. However, in the absence of strict regulations mandating the genuineness of every text on social media, it is probable that some of these texts are fake news or rumors. Their deceptive nature and ability to propagate instantly can have an adverse effect on society. This necessitates the need for more effective detection of fake news and rum…
Restoration of agroecosystems with conservation agriculture for food security to achieve sustainable development goals
Currently, agroecosystems sustainability is mainly challenged by unsustainable agricultural practices that lead to land degradation and amplified climate change. About 25% of the World's total land area has deteriorated due to improper agricultural land management, resulting in ~24 billion tonnes of annual soil loss. Globally, soil erosion, mainly caused by high‐frequency tilling, crop residue removal or burning, poor pasture management, and inef…
A framework of fake news detection on web platform using ConvNet
Covid-19 and its impact on education, social life and mental health of students: A survey
Covid-19 and its impact on education, social life and mental health of students: A survey
Restoration of agroecosystems with conservation agriculture for food security to achieve sustainable development goals
Currently, agroecosystems sustainability is mainly challenged by unsustainable agricultural practices that lead to land degradation and amplified climate change. About 25% of the World's total land area has deteriorated due to improper agricultural land management, resulting in ~24 billion tonnes of annual soil loss. Globally, soil erosion, mainly caused by high‐frequency tilling, crop residue removal or burning, poor pasture management, and inef…
A framework of fake news detection on web platform using ConvNet
An Emotion-Aware Multitask Approach to Fake News and Rumor Detection Using Transfer Learning
Social networking sites, blogs, and online articles are instant sources of news for internet users globally. However, in the absence of strict regulations mandating the genuineness of every text on social media, it is probable that some of these texts are fake news or rumors. Their deceptive nature and ability to propagate instantly can have an adverse effect on society. This necessitates the need for more effective detection of fake news and rum…
Artificial Intelligence (2 works) · Computer Science (2 works) · Deep learning (2 works) · Machine learning (2 works) · Misinformation and Its Impacts (2 works) · Social media (2 works) · Spam and Phishing Detection (2 works) · World Wide Web (2 works) · Advanced Malware Detection Techniques (1 works) · Advertising (1 works)