Nikhil Kumar Singh
Biographic Data
| ID | 10054565 |
|---|---|
| NAME | Nikhil Kumar Singh |
| GIVEN NAMES | Nikhil Kumar |
| FAMILY NAME | Singh |
| SIGNATURE | SINGH N K |
| AFFILIATIONS | Maulana Azad National Institute of Technology |
| ORCID | 0000-0001-9396-7285 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1999 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Deep Learning Model for Interpretability and Explainability of Aspect-Level Sentiment Analysis Based on Social Media
The interactive attention graph convolution network (IAGCN), a novel model proposed in this article, will revolutionize aspect-level sentiment analysis (SA). IAGCN effectively addresses these key features, in contrast to prior research that ignored the meaning of aspect terms and their relationship with context. The model combines a modified dynamic weighting layer with bidirectional long short-term memory (BiLSTM) to accurately acquire context. …
Impact of Technical Education Policy Amendment
An all-encompassing reform, the National Education Policy (NEP) 2020 seeks to revolutionize India's educational system. Development in all areas, including critical thinking and the acquisition of skills at a young age, are prioritized. NEP promotes flexibility in learning pathways, integration of arts and sciences, and technology-driven education. Its goals include encouraging research and innovation, raising awareness of the value of bilinguali…
IoT-Based Federated Learning Model for Hypertensive Retinopathy Lesions Classification
Traditional classification algorithms struggle to categorize hypertensive retinopathy (HR) lesions correctly because they lack obvious characteristics. A regional IoT-enabled federated learning-based HR categorization approach (IoT-FHR) incorporating global and local attributes is suggested as a solution to this issue. The local feature arterial and venous nicking (AVN) classification model is fused with the overall IoT-FHR classification model t…
Optimizing Deep Learning Model Parameters Using Socially Implemented IoMT Systems for Diabetic Retinopathy Classification Problem
Diabetic retinopathy (DR) is on the increase nowadays due to the high sugar level in the blood, and it is the reason for blindness that mainly occurs in middle-aged people. Furthermore, the Internet of Medical Things (IoMT) enabled computer-aided diagnostic (CAD) systems record DR-related data online and give patients with reassuring information. The internet allows for the interconnection of a variety of smart devices, enabling remote healthcare…
Racial Formation in an Age of Permanent War
This chapter examines how sovereign violence defines the meanings and effects attached to race by bringing W. E. B. DuBois into conversation with Michael Omi and Howard Winant. It deploys racial formation theory alongside DuBois to conceptualize race as less “precipitated out of social relations” than “remade as social relation,” in order to expose race as reconstituted in the practices of permanent war and as deeply embedded in “the uniquely vio…
Noteson anominal report
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Noteson anominal report
Racial Formation in an Age of Permanent War
This chapter examines how sovereign violence defines the meanings and effects attached to race by bringing W. E. B. DuBois into conversation with Michael Omi and Howard Winant. It deploys racial formation theory alongside DuBois to conceptualize race as less “precipitated out of social relations” than “remade as social relation,” in order to expose race as reconstituted in the practices of permanent war and as deeply embedded in “the uniquely vio…
IoT-Based Federated Learning Model for Hypertensive Retinopathy Lesions Classification
Traditional classification algorithms struggle to categorize hypertensive retinopathy (HR) lesions correctly because they lack obvious characteristics. A regional IoT-enabled federated learning-based HR categorization approach (IoT-FHR) incorporating global and local attributes is suggested as a solution to this issue. The local feature arterial and venous nicking (AVN) classification model is fused with the overall IoT-FHR classification model t…
Optimizing Deep Learning Model Parameters Using Socially Implemented IoMT Systems for Diabetic Retinopathy Classification Problem
Diabetic retinopathy (DR) is on the increase nowadays due to the high sugar level in the blood, and it is the reason for blindness that mainly occurs in middle-aged people. Furthermore, the Internet of Medical Things (IoMT) enabled computer-aided diagnostic (CAD) systems record DR-related data online and give patients with reassuring information. The internet allows for the interconnection of a variety of smart devices, enabling remote healthcare…
Impact of Technical Education Policy Amendment
An all-encompassing reform, the National Education Policy (NEP) 2020 seeks to revolutionize India's educational system. Development in all areas, including critical thinking and the acquisition of skills at a young age, are prioritized. NEP promotes flexibility in learning pathways, integration of arts and sciences, and technology-driven education. Its goals include encouraging research and innovation, raising awareness of the value of bilinguali…
Deep Learning Model for Interpretability and Explainability of Aspect-Level Sentiment Analysis Based on Social Media
The interactive attention graph convolution network (IAGCN), a novel model proposed in this article, will revolutionize aspect-level sentiment analysis (SA). IAGCN effectively addresses these key features, in contrast to prior research that ignored the meaning of aspect terms and their relationship with context. The model combines a modified dynamic weighting layer with bidirectional long short-term memory (BiLSTM) to accurately acquire context. …
Artificial Intelligence (3 works) · Computer Science (3 works) · Political science (3 works) · Deep learning (2 works) · Law (2 works) · Machine learning (2 works) · Retinal Imaging and Analysis (2 works) · Sociology (2 works) · World Wide Web (2 works) · Advanced Text Analysis Techniques (1 work)