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Nallamotu Parimala

Observed names: N. Parimala, NALLAMOTU, PARIMALA, Parimala N, Parimala Nallamotu, Parimala, Nallamotu
Institution: VIT-AP University
Observed institution: VIT-AP University
ORCID: 0009-0007-9047-366X
Observed ORCID: 0009-0007-9047-366X
OpenAlex ID: A5077047994
Modified ResNet152v2: Binary Classification and Hybrid Segmentation of Brain Stroke Using Transfer Learning-Based Approach
2024 · Nallamotu Parimala, G Muneeswari · Polish Journal of Medical Physics And Engineering · 9
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Crop Selection and Yield Prediction using Machine Learning Algorithms
2023 · J. Ashok Kumar, N. Parimala, et al. · International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) · 8
A Review: Binary Classification and Hybrid Segmentation of Brain Stroke using Transfer Learning-Based Approach
2023 · Parimala N, Muneeswari G · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · 3
Brain Stroke Tri-Level Classification Via Osprey Optimized Deep Spiking Neural Network
2026 · Parimala Nallamotu, Muneeswari G · Procedia Computer Science · 1
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An automatic segmentation and classification of multi-class brain hemorrhages in CT scans using integrated deep learning approach
2026 · Nallamotu Parimala, G. Muneeswari · Biomedical Signal Processing and Control
Integrated Deep Learning Approach
2026 · Nallamotu Parimala · Figshare
EShuffleNetV2-IUNet: ensemble deep learning-based model for brain stroke classification and segmentation on computed tomography images
2026 · Parimala Nallamotu, G. Muneeswari · PeerJ Computer Science
Monitoring of Temperature and Toxic Gases in Autonomous Vehicles: Simulation Using Tinker-cad
2022 · N. Parimala, J.Ashok kumar, et al. · International Conference on Industrial Engineering and Operations Management (IEOM)
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Real-time Object Prediction by Collaboration of IOT and Deep Learning
2022 · N. Parimala, Dr.N. Bhoopal, et al. · International Conference on Industrial Engineering and Operations Management (IEOM)
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Works count: 11
Citation count: 21
H-index: 3
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