Thippa Reddy Gadekallu
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 12 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 150 citations into it
- Radiology, Nuclear Medicine and Imaging — 59 citations into it
- Neurology — 8 citations into it
Whom Thippa Reddy Gadekallu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Thippa Reddy Gadekallu's perspective
Ordered by how strongly the researchers Thippa Reddy Gadekallu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Language Models are Unsupervised Multitask Learners
- Going deeper with convolutions
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
Their papers
- Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges (2020) — 448 citations
- An ensemble machine learning approach through effective feature extraction to classify fake news (2021) — 341 citations
- GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions (2023) — 391 citations
- Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review (2022) — 530 citations
- Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions (2022) — 300 citations
- Blockchain for the Metaverse: A Review (2022) — 680 citations
- Industry 5.0: A survey on enabling technologies and potential applications (2021) — 1,399 citations
- Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions (2021) — 417 citations
- An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture (2020) — 394 citations
- A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU (2020) — 303 citations
- A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions (2020) — 484 citations
- Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey (2020) — 396 citations