Prashant Agrawal
Biographic Data
| ID | 10131347 |
|---|---|
| NAME | Prashant Agrawal |
| GIVEN NAMES | Prashant |
| FAMILY NAME | Agrawal |
| SIGNATURE | AGRAWAL P |
| AFFILIATIONS | Indira Gandhi National Tribal University |
| ORCID | 0000-0002-2965-330X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Enhancing Cyberbullying Detection Using Ensemble Learning and Embeddings
Cyberbullying represents a significant challenge in online environments, requiring advanced techniques for its accurate detection and mitigation. This paper introduces a novel approach that leverages ensemble learning and embedding methods to enhance cyberbullying detection. The proposed framework integrates various classifiers, including deep learning models, decision trees, random forests, and logistic regression, in combination with Universal …
Enhancing Human-Machine Interaction in Industrial Automation
The modern industrial automation relies heavily on Human-Machine Interfaces (HMIs) to create a vital connection between operators and their machines. This paper evaluates GP-Pro EX HMI design software capabilities by analyzing the ThreeLampBitInvert.prx specific example. This paper illustrates how GP-Pro EX software enables efficient HMI development and simulation and deployment through its features which lead to operational improvements and huma…
No prominent works on this page.
Enhancing Cyberbullying Detection Using Ensemble Learning and Embeddings
Cyberbullying represents a significant challenge in online environments, requiring advanced techniques for its accurate detection and mitigation. This paper introduces a novel approach that leverages ensemble learning and embedding methods to enhance cyberbullying detection. The proposed framework integrates various classifiers, including deep learning models, decision trees, random forests, and logistic regression, in combination with Universal …
Enhancing Human-Machine Interaction in Industrial Automation
The modern industrial automation relies heavily on Human-Machine Interfaces (HMIs) to create a vital connection between operators and their machines. This paper evaluates GP-Pro EX HMI design software capabilities by analyzing the ThreeLampBitInvert.prx specific example. This paper illustrates how GP-Pro EX software enables efficient HMI development and simulation and deployment through its features which lead to operational improvements and huma…
Computer Science (2 works) · Advanced Malware Detection Techniques (1 works) · Artificial Intelligence (1 works) · Automation (1 works) · Bullying, Victimization, and Aggression (1 works) · Engineering (1 works) · Ensemble learning (1 works) · Flexible and Reconfigurable Manufacturing Systems (1 works) · Hate Speech and Cyberbullying Detection (1 works) · Human-Automation Interaction and Safety (1 works)