Dr. Vahini Siruvoru

Employment

Employment history is unavailable.

Education

• Vidya Bharathi Institute of Technology B.Tech
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Red Blood Cell Deformability Using PyramidNet with Gannet Puffer Fish Optimization Using Microscopy Image
  International Journal of Computational Methods 2026 DOI: 10.1142/S0219876225500550
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• XSp-NET: XCEPTION SPINAL NETWORK FOR LEFT VENTRICULAR FAILURE CLASSIFICATION USING CARDIAC MRI IMAGE
  Journal of Mechanics in Medicine and Biology 2026 DOI: 10.1142/S021951942550037X
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• A New Way to Communicate: Deep Learning for Deaf and Dumb People
  Recent Trends in Intelligence Enabled Research: Proceedings of the International Symposium on Signal and Image Processing, ISSIP. Lecture Notes in Electrical Engineering (1269) 2025 DOI: 10.1007/978-981-97-9515-4_22
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• Heart Disease Identification Using Ensemble Learning and Deep Learning
  Intelligent Systems and Sustainable Computing: Proceedings of ICISSC. Smart Innovation, Systems and Technologies (417) 2025 DOI: 10.1007/978-981-97-8355-7_4
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• Harmonic Migration Algorithm for Virtual Machine Migration and Switching Strategy in Cloud Computing
  Concurrency and Computation: Practice and Experience 2024 DOI: 10.1002/CPE.8320
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• Hybrid deep learning and optimized clustering mechanism for load balancing and fault tolerance in cloud computing
  Network: Computation in Neural Systems 2024 DOI: 10.1080/0954898X.2024.2369137
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• A Review towards Fault-Tolerable Load Balancing in Cloud Computing
  Proceedings of the 2023 International Conference on Intelligent Systems for Communication, IoT and Security, ICISCoIS 2023 2023 DOI: 10.1109/ICISCoIS56541.2023.10100345
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• Issues in cloud load balancing fault-tolerance: review and challenges
  2023 DOI: 10.1109/ICAIS56108.2023.10073738
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• Cloud Robotics in Agriculture Automation
  New Trends in Computational Vision and Bio-inspired Computing 2020 DOI: 10.1007/978-3-030-41862-5_109
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• Video anomaly detection using pre-trained deep convolutional neural nets and context mining
  ACS/IEEE International Conference on Computer Systems and Applications 2020 DOI: 10.1109/AICCSA50499.2020.9316538
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