Year : 2026
Exploring Agentic AI in Healthcare: A Study on Its Working Mechanism
Cite this Research Publication : Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, Shakeel Ahmed, Abdulaziz Alhumam, Exploring Agentic AI in Healthcare: A Study on Its Working Mechanism, Frontiers in Medicine, Frontiers Media SA, 2026, https://doi.org/10.3389/fmed.2025.1753443
Publisher : Frontiers Media SA
Year : 2026
Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity
Cite this Research Publication : Anto Lourdu Xavier Raj Arockia Selvarathinam, Naveenkumar Anbalagan, Parvathaneni Naga Srinivasu, Jaeyoung Choi, Muhammad Fazal Ijaz, Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity, Frontiers in Medicine, Frontiers Media SA, 2026, https://doi.org/10.3389/fmed.2025.1731370
Publisher : Frontiers Media SA
Year : 2026
Agentic AI for smart and sustainable precision agriculture
Cite this Research Publication : Parvathaneni Naga Srinivasu, Aruna Pavate, G. JayaLakshmi, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz, Agentic AI for smart and sustainable precision agriculture, Frontiers in Plant Science, Frontiers Media SA, 2026, https://doi.org/10.3389/fpls.2025.1706428
Publisher : Frontiers Media SA
Year : 2025
An Iterative PRISMA Review of GAN Models for Image Processing, Medical Diagnosis, and Network Security
Cite this Research Publication : Uddagiri Sirisha, Chanumolu Kiran Kumar, Sujatha Canavoy Narahari, Parvathaneni Naga Srinivasu, An Iterative PRISMA Review of GAN Models for Image Processing, Medical Diagnosis, and Network Security, Computers, Materials & Continua, Tech Science Press, 2025, https://doi.org/10.32604/cmc.2024.059715
Publisher : Tech Science Press
Year : 2025
A multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images
Cite this Research Publication : Anitha Ponraj, Palanigurupackiam Nagaraj, Duraisamy Balakrishnan, Parvathaneni Naga Srinivasu, Jana Shafi, Wonjoon Kim, Muhammad Fazal Ijaz, A multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images, DIGITAL HEALTH, SAGE Publications, 2025, https://doi.org/10.1177/20552076241313161
Publisher : SAGE Publications
Year : 2025
Benchmarking YOLO Variants for Enhanced Blood Cell Detection
Cite this Research Publication : Pooja Mehta, Rohan Vaghela, Nensi Pansuriya, Jigar Sarda, Nirav Bhatt, Akash Kumar Bhoi, Parvathaneni Naga Srinivasu, Benchmarking
YOLO
Variants for Enhanced Blood Cell Detection, International Journal of Imaging Systems and Technology, Wiley, 2025, https://doi.org/10.1002/ima.70037
Publisher : Wiley
Year : 2025
Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8
Cite this Research Publication : Rohan Vaghela, Darsh Vaishnani, Parvathaneni Naga Srinivasu, Yashvi Popat, Jigar Sarda, Marcin Woźniak, Muhammad Fazal Ijaz, Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/jstars.2025.3547058
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2025
Exploring the impact of hyperparameter and data augmentation in YOLO V10 for accurate bone fracture detection from X-ray images
Cite this Research Publication : Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, Sujatha Canavoy Narahari, Shakeel Ahmed, Abdulaziz Alhumam, Exploring the impact of hyperparameter and data augmentation in YOLO V10 for accurate bone fracture detection from X-ray images, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-93505-4
Publisher : Springer Science and Business Media LLC
Year : 2025
SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images
Cite this Research Publication : Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, D. Jaya Kumari, Paolo Barsocchi, Akash Kumar Bhoi, SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3576914
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2025
Super-Resolution Generative Adversarial Network with Pyramid Attention Module for Face Generation
Cite this Research Publication : Parvathaneni Naga Srinivasu, G. JayaLakshmi, Sujatha Canavoy Narahari, Victor Hugo C. de Albuquerque, Muhammad Attique Khan, Hee-Chan Cho, Byoungchol Chang, Super-Resolution Generative Adversarial Network with Pyramid Attention Module for Face Generation, Computers, Materials & Continua, Tech Science Press, 2025, https://doi.org/10.32604/cmc.2025.065232
Publisher : Tech Science Press
Year : 2025
XAI Driven Software Defect Prediction Using Adaptive Feature Engineering Coupled With Autoencoder and Multi-Layer Perceptron: An Empirical Study
Cite this Research Publication : Parvathaneni Naga Srinivasu, M. Sailaja, Sujatha Canavoy Narahari, Paolo Barsocchi, Akash Kumar Bhoi, XAI Driven Software Defect Prediction Using Adaptive Feature Engineering Coupled With Autoencoder and Multi-Layer Perceptron: An Empirical Study, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3603451
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2025
Optimized Cardiovascular Disease Prediction Using Clustered Butterfly Algorithm
Cite this Research Publication : Kamepalli S. L. Prasanna, Vijaya J, Parvathaneni Naga Srinivasu, Babar Shah, Farman Ali, Optimized Cardiovascular Disease Prediction Using Clustered Butterfly Algorithm, Computers, Materials & Continua, Tech Science Press, 2025, https://doi.org/10.32604/cmc.2025.068707
Publisher : Tech Science Press
Year : 2024
A novel approach for assessing the damaged region in MRI through improvised GA and SGO
Cite this Research Publication : P. Naga Srinivasu, G. Srinivas, T. Srinivasa Rao, Valentina E. Balas, A novel approach for assessing the damaged region in MRI through improvised GA and SGO, International Journal of Advanced Intelligence Paradigms, Inderscience Publishers, 2024, https://doi.org/10.1504/ijaip.2024.143818
Publisher : Inderscience Publishers
Year : 2024
Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays
Cite this Research Publication : G.V. Eswara Rao, Rajitha B., Parvathaneni Naga Srinivasu, Muhammad Fazal Ijaz, Marcin Woźniak, Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays, Biomedical Signal Processing and Control, Elsevier BV, 2024, https://doi.org/10.1016/j.bspc.2023.105567
Publisher : Elsevier BV
Year : 2024
An Interpretable Approach with Explainable AI for Heart Stroke Prediction
Cite this Research Publication : Parvathaneni Naga Srinivasu, Uddagiri Sirisha, Kotte Sandeep, S. Phani Praveen, Lakshmana Phaneendra Maguluri, Thulasi Bikku, An Interpretable Approach with Explainable AI for Heart Stroke Prediction, Diagnostics, MDPI AG, 2024, https://doi.org/10.3390/diagnostics14020128
Publisher : MDPI AG
Year : 2024
XAI‐driven model for crop recommender system for use in precision agriculture
Cite this Research Publication : Parvathaneni Naga Srinivasu, Muhammad Fazal Ijaz, Marcin Woźniak, XAI‐driven model for crop recommender system for use in precision agriculture, Computational Intelligence, Wiley, 2024, https://doi.org/10.1111/coin.12629
Publisher : Wiley
Year : 2024
A Study on Outlier Detection and Feature Engineering Strategies in Machine Learning for Heart Disease Prediction
Cite this Research Publication : Varada Rajkumar Kukkala, Surapaneni Phani Praveen, Naga Satya Koti Mani Kumar Tirumanadham, Parvathaneni Naga Srinivasu, A Study on Outlier Detection and Feature Engineering Strategies in Machine Learning for Heart Disease Prediction, Computer Systems Science and Engineering, Tech Science Press, 2024, https://doi.org/10.32604/csse.2024.053603
Publisher : Tech Science Press
Year : 2024
Dynamic Multi-Layer Perceptron for Fetal Health Classification Using Cardiotocography Data
Cite this Research Publication : Uddagiri Sirisha, Parvathaneni Naga Srinivasu, Panguluri Padmavathi, Seongki Kim, Aruna Pavate, Jana Shafi, Muhammad Fazal Ijaz, Dynamic Multi-Layer Perceptron for Fetal Health Classification Using Cardiotocography Data, Computers, Materials & Continua, Tech Science Press, 2024, https://doi.org/10.32604/cmc.2024.053132
Publisher : Tech Science Press
Year : 2024
Advanced diabetic retinopathy detection with the R-CNN: A unified visual health solution
Cite this Research Publication : Valluri Sri Sravya, Parvathaneni Naga Srinivasu, Jana Shafi, Waldemar Hołubowski, Adam Zielonka, Advanced diabetic retinopathy detection with the R-CNN: A unified visual health solution, International Journal of Applied Mathematics and Computer Science, University of Zielona Góra, Poland, 2024, https://doi.org/10.61822/amcs-2024-0044
Publisher : University of Zielona Góra, Poland
Year : 2024
An explainable Artificial Intelligence software system for predicting diabetes
Cite this Research Publication : Parvathaneni Naga Srinivasu, Shakeel Ahmed, Mahmoud Hassaballah, Naif Almusallam, An explainable Artificial Intelligence software system for predicting diabetes, Heliyon, Elsevier BV, 2024, https://doi.org/10.1016/j.heliyon.2024.e36112
Publisher : Elsevier BV
Year : 2024
Enhancing medical image classification via federated learning and pre-trained model
Cite this Research Publication : Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz, Enhancing medical image classification via federated learning and pre-trained model, Egyptian Informatics Journal, Elsevier BV, 2024, https://doi.org/10.1016/j.eij.2024.100530
Publisher : Elsevier BV
Year : 2024
XAI-driven CatBoost multi-layer perceptron neural network for analyzing breast cancer
Cite this Research Publication : P. Naga Srinivasu, G. Jaya Lakshmi, Abhishek Gudipalli, Sujatha Canavoy Narahari, Jana Shafi, Marcin Woźniak, Muhammad Fazal Ijaz, XAI-driven CatBoost multi-layer perceptron neural network for analyzing breast cancer, Scientific Reports, Springer Science and Business Media LLC, 2024, https://doi.org/10.1038/s41598-024-79620-8
Publisher : Springer Science and Business Media LLC
Year : 2023
Software-driven secure framework for mobile healthcare applications in IoMT
Cite this Research Publication : T. Bala Murali Krishna, S. Phani Praveen, Shakeel Ahmed, Parvathaneni Naga Srinivasu, Software-driven secure framework for mobile healthcare applications in IoMT, Intelligent Decision Technologies, SAGE Publications, 2023, https://doi.org/10.3233/idt-220132
Publisher : SAGE Publications
Year : 2023
Variational Autoencoders‐BasedSelf‐Learning Model for Tumor Identification and Impact Analysis from 2‐D MRI Images
Cite this Research Publication : Parvathaneni Naga Srinivasu, T. Balamurali Krishna, Shakeel Ahmed, Naif Almusallam, Fawaz Khaled Alarfaj, Nasser Allheeib, Variational Autoencoders‐BasedSelf‐Learning Model for Tumor Identification and Impact Analysis from 2‐D MRI Images, Journal of Healthcare Engineering, Wiley, 2023, https://doi.org/10.1155/2023/1566123
Publisher : Wiley
Year : 2023
Multi-Features Disease Analysis Based Smart Diagnosis for COVID-19
Cite this Research Publication : Sirisati Ranga Swamy, S. Phani Praveen, Shakeel Ahmed, Parvathaneni Naga Srinivasu, Abdulaziz Alhumam, Multi-Features Disease Analysis Based Smart Diagnosis for COVID-19, Computer Systems Science and Engineering, Tech Science Press, 2023, https://doi.org/10.32604/csse.2023.029822
Publisher : Tech Science Press
Year : 2023
A Software Framework for Intelligent Security Measures Regarding Sensor Data in the Context of Ambient Assisted Technology
Cite this Research Publication : Shakeel Ahmed, Parvathaneni Naga Srinivasu, Abdulaziz Alhumam, A Software Framework for Intelligent Security Measures Regarding Sensor Data in the Context of Ambient Assisted Technology, Sensors, MDPI AG, 2023, https://doi.org/10.3390/s23146564
Publisher : MDPI AG
Year : 2023
Associative Discussion Among Generating Adversarial Samples Using Evolutionary Algorithm and Samples Generated Using GAN
Cite this Research Publication : Aruna Pavate, Rajesh Bansode, Parvathaneni Naga Srinivasu, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz, Associative Discussion Among Generating Adversarial Samples Using Evolutionary Algorithm and Samples Generated Using GAN, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2023, https://doi.org/10.1109/access.2023.3343754
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2023
A Unified Metering System Deployed for Water and Energy Monitoring in Smart City
Cite this Research Publication : N. Sushma, H. N. Suresh, J. Mohana Lakshmi, Parvathaneni Naga Srinivasu, Akash Kumar Bhoi, Paolo Barsocchi, A Unified Metering System Deployed for Water and Energy Monitoring in Smart City, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2023, https://doi.org/10.1109/access.2023.3299825
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2023
Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection
Cite this Research Publication : U. Sirisha, S. Phani Praveen, Parvathaneni Naga Srinivasu, Paolo Barsocchi, Akash Kumar Bhoi, Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection, International Journal of Computational Intelligence Systems, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s44196-023-00302-w
Publisher : Springer Science and Business Media LLC
Year : 2023
Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm
Cite this Research Publication : Pratiyush Guleria, Parvathaneni Naga Srinivasu, M. Hassaballah, Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm, Multimedia Tools and Applications, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s11042-023-17212-w
Publisher : Springer Science and Business Media LLC
Year : 2022
Design and Analysis of Fibonacci Based TGO Compared with Real-timeMesh using Graph Invariant Technique
Cite this Research Publication : Shanmuk Srinivas Amiripalli, Veeramallu Bobba, P. Naga Srinivasu, Design and Analysis of Fibonacci Based TGO Compared with Real-time
Mesh using Graph Invariant Technique, International Journal of Sensors, Wireless Communications and Control, Bentham Science Publishers Ltd., 2022, https://doi.org/10.2174/2210327911666210118143058
Publisher : Bentham Science Publishers Ltd.
Year : 2022
Mathematical modelling for prediction of spread of corona virus and artificial intelligence/machine learning-based technique to detect COVID-19 via smartphone sensors
Cite this Research Publication : P. Naga Srinivasu, Rahul Kakkar, Harjinder Singh, Joginder Singh, Sumeet Goyal, Digvijay Pandey, Mathematical modelling for prediction of spread of corona virus and artificial intelligence/machine learning-based technique to detect COVID-19 via smartphone sensors, International Journal of Modelling, Identification and Control, Inderscience Publishers, 2022, https://doi.org/10.1504/ijmic.2022.10052109
Publisher : Inderscience Publishers
Year : 2022
Empirical Study on Classifiers for Earlier Prediction of COVID-19 Infection Cure and Death Rate in the Indian States
Cite this Research Publication : Pratiyush Guleria, Shakeel Ahmed, Abdulaziz Alhumam, Parvathaneni Naga Srinivasu, Empirical Study on Classifiers for Earlier Prediction of COVID-19 Infection Cure and Death Rate in the Indian States, Healthcare, MDPI AG, 2022, https://doi.org/10.3390/healthcare10010085
Publisher : MDPI AG
Year : 2022
From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies
Cite this Research Publication : Parvathaneni Naga Srinivasu, N. Sandhya, Rutvij H. Jhaveri, Roshani Raut, From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies, Mobile Information Systems, Wiley, 2022, https://doi.org/10.1155/2022/8167821
Publisher : Wiley
Year : 2022
Secured Compression for 2D Medical Images Through the Manifold and Fuzzy Trapezoidal Correlation Function
Cite this Research Publication : P Naga SRİNİVASU, Norita NORWAWİ, Shanmuk Srinivas AMİRİPALLİ, P DEEPALAKSHMİ, Secured Compression for 2D Medical Images Through the Manifold and Fuzzy Trapezoidal Correlation Function, Gazi University Journal of Science, Gazi University Journal of Science, 2022, https://doi.org/10.35378/gujs.884880
Publisher : Gazi University Journal of Science
Year : 2022
Ambient Assistive Living for Monitoring the Physical Activity of Diabetic Adults through Body Area Networks
Cite this Research Publication : P. Naga Srinivasu, G. JayaLakshmi, Rutvij H. Jhaveri, S. Phani Praveen, Ambient Assistive Living for Monitoring the Physical Activity of Diabetic Adults through Body Area Networks, Mobile Information Systems, Wiley, 2022, https://doi.org/10.1155/2022/3169927
Publisher : Wiley
Year : 2022
Fine-Tuned DenseNet-169 for Breast Cancer Metastasis Prediction Using FastAI and 1-Cycle Policy
Cite this Research Publication : Adarsh Vulli, Parvathaneni Naga Srinivasu, Madipally Sai Krishna Sashank, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz, Fine-Tuned DenseNet-169 for Breast Cancer Metastasis Prediction Using FastAI and 1-Cycle Policy, Sensors, MDPI AG, 2022, https://doi.org/10.3390/s22082988
Publisher : MDPI AG
Year : 2022
XAI Framework for Cardiovascular Disease Prediction Using Classification Techniques
Cite this Research Publication : Pratiyush Guleria, Parvathaneni Naga Srinivasu, Shakeel Ahmed, Naif Almusallam, Fawaz Khaled Alarfaj, XAI Framework for Cardiovascular Disease Prediction Using Classification Techniques, Electronics, MDPI AG, 2022, https://doi.org/10.3390/electronics11244086
Publisher : MDPI AG
Year : 2022
AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients
Cite this Research Publication : Shakeel Ahmed, Parvathaneni Srinivasu, Abdulaziz Alhumam, Mohammed Alarfaj, AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients, Diagnostics, MDPI AG, 2022, https://doi.org/10.3390/diagnostics12112739
Publisher : MDPI AG
Year : 2022
Automatic Data Clustering by Hybrid Enhanced Firefly and Particle Swarm Optimization Algorithms
Cite this Research Publication : Mandakini Behera, Archana Sarangi, Debahuti Mishra, Pradeep Kumar Mallick, Jana Shafi, Parvathaneni Naga Srinivasu, Muhammad Fazal Ijaz, Automatic Data Clustering by Hybrid Enhanced Firefly and Particle Swarm Optimization Algorithms, Mathematics, MDPI AG, 2022, https://doi.org/10.3390/math10193532
Publisher : MDPI AG
Year : 2022
6G Driven Fast Computational Networking Framework for Healthcare Applications
Cite this Research Publication : Parvathaneni Naga Srinivasu, Muhammad Fazal Ijaz, Jana Shafi, Marcin Wozniak, R. Sujatha, 6G Driven Fast Computational Networking Framework for Healthcare Applications, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2022, https://doi.org/10.1109/access.2022.3203061
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2022
ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides
Cite this Research Publication : S. Phani Praveen, Parvathaneni Naga Srinivasu, Jana Shafi, Marcin Wozniak, Muhammad Fazal Ijaz, ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides, Scientific Reports, Springer Science and Business Media LLC, 2022, https://doi.org/10.1038/s41598-022-25089-2
Publisher : Springer Science and Business Media LLC
Year : 2022
Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data
Cite this Research Publication : Parvathaneni Naga Srinivasu, Jana Shafi, T Balamurali Krishna, Canavoy Narahari Sujatha, S Phani Praveen, Muhammad Fazal Ijaz, Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data, Diagnostics, MDPI AG, 2022, https://doi.org/10.3390/diagnostics12123067
Publisher : MDPI AG
Year : 2022
A transfer learning‐based system for grading breast invasive ductal carcinoma
Cite this Research Publication : Radhakrishnan Sujatha, Jyotir Moy Chatterjee, Anastassia Angelopoulou, Epaminondas Kapetanios, Parvathaneni Naga Srinivasu, Duraisamy Jude Hemanth, A transfer learning‐based system for grading breast invasive ductal carcinoma, IET Image Processing, Institution of Engineering and Technology (IET), 2022, https://doi.org/10.1049/ipr2.12660
Publisher : Institution of Engineering and Technology (IET)
Year : 2022
TFAD: TCP flooding attack detection in software-defined networking using proxy-based and machine learning-based mechanisms
Cite this Research Publication : K. Muthamil Sudar, P. Deepalakshmi, Ashish Singh, Parvathaneni Naga Srinivasu, TFAD: TCP flooding attack detection in software-defined networking using proxy-based and machine learning-based mechanisms, Cluster Computing, Springer Science and Business Media LLC, 2022, https://doi.org/10.1007/s10586-022-03666-4
Publisher : Springer Science and Business Media LLC
Year : 2022
Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN
Cite this Research Publication : Parvathaneni Naga Srinivasu, Ranjit Panigrahi, Ashish Singh, Akash Kumar Bhoi, Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN, Journal of Circuits, Systems and Computers, World Scientific Pub Co Pte Ltd, 2022, https://doi.org/10.1142/s0218126622503030
Publisher : World Scientific Pub Co Pte Ltd
Year : 2021
Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS
Cite this Research Publication : Parvathaneni Naga Srinivasu, Valentina Emilia Balas, Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS, PeerJ Computer Science, PeerJ, 2021, https://doi.org/10.7717/peerj-cs.654
Publisher : PeerJ
Year : 2021
An AW-HARIS Based Automated Segmentation of Human Liver Using CT Images
Cite this Research Publication : P. Naga Srinivasu, Shakeel Ahmed, Abdulaziz Alhumam, Akash Bhoi Kumar, Muhammad Fazal Ijaz, An AW-HARIS Based Automated Segmentation of Human Liver Using CT Images, Computers, Materials & Continua, Tech Science Press, 2021, https://doi.org/10.32604/cmc.2021.018472
Publisher : Tech Science Press
Year : 2021
Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM
Cite this Research Publication : Parvathaneni Naga Srinivasu, Jalluri Gnana SivaSai, Muhammad Fazal Ijaz, Akash Kumar Bhoi, Wonjoon Kim, James Jin Kang, Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM, Sensors, MDPI AG, 2021, https://doi.org/10.3390/s21082852
Publisher : MDPI AG
Year : 2021
Probabilistic Deep Q Network for real-time path planning in censorious robotic procedures using force sensors
Cite this Research Publication : Parvathaneni Naga Srinivasu, Akash Kumar Bhoi, Rutvij H. Jhaveri, Gadekallu Thippa Reddy, Muhammad Bilal, Probabilistic Deep Q Network for real-time path planning in censorious robotic procedures using force sensors, Journal of Real-Time Image Processing, Springer Science and Business Media LLC, 2021, https://doi.org/10.1007/s11554-021-01122-x
Publisher : Springer Science and Business Media LLC
Year : 2021
Blockchain Technology for Secured Healthcare Data Communication among the Non-Terminal Nodes in IoT Architecture in 5G Network
Cite this Research Publication : Parvathaneni Naga Srinivasu, Akash Kumar Bhoi, Soumya Ranjan Nayak, Muhammad Raheel Bhutta, Marcin Woźniak, Blockchain Technology for Secured Healthcare Data Communication among the Non-Terminal Nodes in IoT Architecture in 5G Network, Electronics, MDPI AG, 2021, https://doi.org/10.3390/electronics10121437
Publisher : MDPI AG
Year : 2020
Denoising Based Clustering Algorithm for Segmentation of Microarray Image
Cite this Research Publication : Harikiran, Denoising Based Clustering Algorithm for Segmentation of Microarray Image, [source], [publisher], 2020, [url]
Year : 2020
CRACK DETECTION ON CONCRETE IMAGES USING CLASSIFICATION TECHNIQUES IN MACHINE LEARNING
Cite this Research Publication : , CRACK DETECTION ON CONCRETE IMAGES USING CLASSIFICATION TECHNIQUES IN MACHINE LEARNING, Journal of critical reviews, SynthesisHub Advance Scientific Research, 2020, https://doi.org/10.31838/jcr.07.09.224
Publisher : SynthesisHub Advance Scientific Research
Year : 2020
Volumetric Estimation of the Damaged Area in the Human Brain from 2D MR Image
Cite this Research Publication : P Naga Srinivasu, T Srinivasa Rao, Valentina Emilia Balas, Volumetric Estimation of the Damaged Area in the Human Brain from 2D MR Image, International Journal of Information System Modeling and Design, IGI Global Scientific Publishing, 2020, https://doi.org/10.4018/ijismd.2020010105
Publisher : IGI Global Scientific Publishing
Year : 2020
A Computationally Efficient Skull Scraping Approach for Brain MR Image
Cite this Research Publication : P. Naga Srinivasu, T. Srinivasa Rao, G. Srinivas, P.V.G.D. Prasad Reddy, A Computationally Efficient Skull Scraping Approach for Brain MR Image, Recent Advances in Computer Science and Communications, Bentham Science Publishers Ltd., 2020, https://doi.org/10.2174/2213275912666190809111928
Publisher : Bentham Science Publishers Ltd.
Year : 2020
A comparative review of optimisation techniques in segmentation of brain MR images
Cite this Research Publication : P. Naga Srinivasu, T. Srinivasa Rao, Anca M. Dicu, Corina Anca Mnerie, Iustin Olariu, A comparative review of optimisation techniques in segmentation of brain MR images, Journal of Intelligent & Fuzzy Systems, SAGE Publications, 2020, https://doi.org/10.3233/jifs-179688
Publisher : SAGE Publications
Year : 2016
An Automated Brain MRI image segmentation using Generic Algorithm and TLBO
Cite this Research Publication : Parvathaneni Naga Srinivasu and Gorla Srinivas and T. Srinivasa Rao, An Automated Brain MRI image segmentation using Generic Algorithm and TLBO, [source], [publisher], [year], https://api.semanticscholar.org/CorpusID:212496834
Year : 2015
A Multilevel Image Encryption based on Duffing map and Modified DNA Hybridization for Transfer over an Unsecured Channel
Cite this Research Publication : P. NagaSrinivasu, Ch. Seshadri Rao, A Multilevel Image Encryption based on Duffing map and Modified DNA Hybridization for Transfer over an Unsecured Channel, International Journal of Computer Applications, Foundation of Computer Science, 2015, https://doi.org/10.5120/21212-3915
Publisher : Foundation of Computer Science
Year : 2014
A Novel Image Enhancement Technique for Ancient Images using Optimal Histogram Equalization and Fuzzy Enhancement Technique
Cite this Research Publication : P Naga Srinivasu, (2014). A Novel Image Enhancement Technique for Ancient Images using Optimal Histogram Equalization and Fuzzy Enhancement Technique. International Journal of Computer Science and Information Technologies, Vol. 5, No. 2
Publisher : International Journal of Computer Science and Information Technologies
Year :
A comparative analysis of clustering-based segmentation algorithms in microarray images
Cite this Research Publication : Lakshmana Phaneendra Maguluri, Keshav Rajapanthula, P Naga Srinivasu (2013). A comparative analysis of clustering-based segmentation algorithms in microarray images, International Journal of Emerging Science and Engineering. Vol. 1(5), Pp. 27-32
Publisher : International Journal of Emerging Science and Engineering