SRINIVAS K

Employment

• K L University Professor
  2020 - Present

Education

• Jawaharlal Nehru Technological University Hyderabad M.Tech(CS)
• Rayalaseema University Ph.D

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• Segmentation-Guided Hybrid Deep Learning for Pulmonary Nodule Detection and Risk Prediction from Multi-Cohort CT Images
  Diseases 2026 DOI: 10.3390/diseases14010021
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• EAROA-MiXNet: An Efficient Deep Learning-Based Intrusion Detection System for Edge-Based IIoT Environment
  International Journal of Computational Intelligence and Applications 2026 DOI: 10.1142/S1469026825500130
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• A fault tolerant distributed CH selection algorithm for WSNs
  International Journal of System Assurance Engineering and Management 2025 DOI: 10.1007/s13198-025-02882-6
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• A comprehensive verification of the header format and bandwidth utilization to detect distributed denial of service attack in vehicular ad hoc network
  International Journal of Electrical and Computer Engineering (IJECE) 2024 DOI: 10.11591/ijece.v14i6.pp6538-6550
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• An improved analogy-rule based software effort estimation using HTRR-RNN in software project management
  Expert Systems with Applications 2024 DOI: 10.1016/j.eswa.2024.124107
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• An Effective Intrusion Detection System for Edge Computing Using ConvNeXt and ResNet152V2
  International Journal of Computational Intelligence and Applications 2024 DOI: 10.1142/S1469026824500147
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• Data Privacy Protection in Cloud Computing Using Visual Cryptography
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-024-19963-6
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• Software Requirements Based Software Effort Estimation using RSLU-GNL-GRU in Software Project Management
  Algorithms in Advanced Artificial Intelligence 2024 DOI: 10.1201/9781003529231-60
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• A Novel PMFFC -Based Software Effort Estimation Using FMGKF-DENN Algorithm
  International Journal of Intelligent Systems and Applications in Engineering 2024
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• A hybrid deep learning strategy for image based automated prognosis of skin disease
  A hybrid deep learning strategy for image based automated prognosis of skin disease 2023
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