| Novel Deep Learning Techniques to Design the Model and Predict Facial Expression, Gender, and Age Recognition NS Gupta, SK Rout, VL Vinya, K Tejasvi, B Rani International Conference on Intelligent Systems and Machine Learning, 345-354, 2022 | 4 | 2022 |
| Sarcasm Detection for Hindi English Code Mixed Twitter Data K Tejasvi, B Reddy, S Reddy, S Rishikesh International Journal for Research in Applied Science and Engineering …, 2023 | 1 | 2023 |
| 11 An Cloud-Based Analysis-Efficient Scheduling S Potluri, S Anoosha, K Tejasvi AI in Agriculture for Sustainable and Economic Management, 141, 2024 | | 2024 |
| Explainable AI Methods and Applications S Mohanthy, VL Vinya, K Tejasvi, JN Padmaja, S Yadla, S Godavarthi Explainable AI in Health Informatics, 33-48, 2024 | | 2024 |
| Security in Iot: Systematic Review K Tejasvi, R Begum, MA Jabbar The Fusion of Artificial Intelligence and Soft Computing Techniques for …, 2024 | | 2024 |
| Explainable Artificial Intelligence (XAI) for Managing Customer Needs in E-Commerce: A Systematic Review K Tejasvi, VL Vinya, JN Padmaja, R Begum, MA Jabbar Role of Explainable Artificial Intelligence in E-Commerce, 17-31, 2024 | | 2024 |
| Demystifying the Applications of Artificial Intelligence in Disaster Management: A Review MA Jabbar, R Begum, K Tejasvi AI and IoT for Proactive Disaster Management, 17-25, 2024 | | 2024 |
| Role of Digital Technologies During COVID-19: A Rapid Review KTPS Ruqqaiya Begum jnanoworld.com, 2023 | | 2023 |
| Diagnosis of Chronic Brain Syndrome Using Deep Learning SRP Pentyala Srija1, Manchala Rahul2, Mamidi Manish Reddy3, Koti Tejasvi4 IJRASET 11 (II Feb 2023), 660-667, 2023 | | 2023 |
| An Insight Into Applications of IoT in the Agricultural Sector K Tejaswi, BN Jyothi, MA Jabbar, B Vasavi, R Begum Emerging Trends, Techniques, and Applications in Geospatial Data Science, 96-112, 2023 | | 2023 |
| An Insight into Applications of Deep Learning in Cancer Classification BN Jyothi, K Tejasvi, R Begum, MA Jabbar 2022 3rd International Conference on Computation, Automation and Knowledge …, 2022 | | 2022 |
| Analytical models for planning and control of autonomous mobile robots for logistic management K Tejasvi, R Begum Cloud Analytics for Industry 4.0 6, 121, 2022 | | 2022 |
| Industry 4.0: efficient supply chain management using energy-aware cloud infrastructure model R Begum, K Tejasvi Cloud Analytics for Industry 4.0 6, 103, 2022 | | 2022 |
| QoS( Quality Of Service) Analysis of On-Demand Routing Protocol under Multiple Black Hole Nodes KT N Venkatadri, P Ashwini Reddy, B Triveni, G Rani, CH Ravinder Reddy, CH ... International Conference on Systems, Science, Control, Communication …, 2017 | | 2017 |
| An Analysis-Efficient Cloud-Based Scheduling Infrastructure: Driving the Shift to Artificial Intelligence in Farming S Potluri, S Anoosha, K Tejasvi AI in Agriculture for Sustainable and Economic Management, 141-153, 0 | | |
| A Distributed Three-hop Routing Protocol to Increase throughput and makes full use of widespread base station in Hybrid Wireless Networks V Goutham, MP Jyothi, K Tejasvi | | |
M.A.JABBARPh.D ,Professor , Vardhaman College of Engineering, IEEE CS Distinguished Contributor在 vardhaman.org 的电子邮件经过验证
M.A.JABBARPh.D ,Professor , Vardhaman College of Engineering, IEEE CS Distinguished Contributor在 vardhaman.org 的电子邮件经过验证
B N JyothiResearch Scholar JNTU Hyderabad在 vardhaman.org 的电子邮件经过验证