Peddinti Neeraja

@mbu.asia

Assistant Professor and Computer Applications/Peddinti Neeraja
Sree Vidyanikethan Engineering College

Peddinti Neeraja


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https://researchid.co/pneeraja

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science Applications, Artificial Intelligence
28

Scopus Publications

87

Scholar Citations

5

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Multi-criteria optimization of submerged friction stir welding parameters for A319 alloy using CRITIC and COCOSO methods
    Easwaramoorthi M, Thomas Renald C J, Haridass R, Peddinti Neeraja, Ayanagounder Kumar, Sellamuthu P
    Interactions, 2026
  • Enhancing thalassemia diagnosis through decision tree algorithms and clinical data analysis
    Peddinti Neeraja, Peddinti Ranga Sai, Tamirisa Yaswanth
    Aip Conference Proceedings, 2026
  • Low Power Automation Using Bluetooth and Wearable Device Security Safety Device
    Karrar Hussain, Peddinti Neeraja, Sachin Aralikatti, M. Sathana Priya, Arivumalar Ravichandran, T. Sheela, G. Ramachandran
    2026 9th International Conference on Electronics Materials Engineering and Nano Technology Iementech 2026, 2026
    In this research, a Bluetooth-based voice command interface for Python task automation on Windows platforms is designed and implemented. The system makes use of Bluetooth connectivity and speech recognition technology to facilitate smooth communication between a Windows PC and a smartphone. By enabling hands-free operation of numerous system functions, this solution aims to increase accessibility, productivity, and user convenience. The system architecture, methodology, experimental findings, and important performance factors are described in the paper. This study offers a workable solution for both personal and professional use, addressing the growing need for user-friendly control interfaces in contemporary computing environments. Because of the system's emphasis on flexibility, it is easy to incorporate additional voice commands. Additionally, the Python interface is extensible and modular, making it possible to integrate it with other IoT systems or smart devices. Evaluations of the system's performance show that it is resilient in a variety of environmental circumstances, which makes it a practical choice for practical uses. This Bluetooth 5.0 can support environmentally friendly communication techniques in the background of the IoT reasearch assesses Bluetooth 5.0's contribution to energy economy, lower latency, and increased data throughput by contrasting it with earlier iterations and other wireless communication technologies. The analysis takes into account elements like data rate improvements brought forth by Bluetooth 5.0, power consumption, and transmission range. In addition to discussing possible future research approaches, the paper examines the significance of these developments for creating environmentally friendly IoT applications.
  • The future scope of leadership artificial intelligence smart electronics device based legal robotics industries
    Vinod N, Dr. A. K. Subramani, Peddinti Neeraja, Dr. K. B. Shoba
    International Journal of Basic and Applied Sciences, 2025
    The world's rapid technological breakthroughs, computers are beginning to replace people in various areas, including manufacturing, ‎healthcare, energy, and agriculture. Robotic applications of artificial intelligence (AI) intensify this phenomenon. Artificial intelligence is ‎thought to be the cornerstone of contemporary technology. It is also essential to the development of numerous other goods and services, as ‎well as to contemporary industries. Its uses have expanded to include everything from banking to recreation to health care. The extensive ‎adoption of AI techniques has made it necessary to think about the possible ethical and legal ramifications. Artificial intelligence raises issues ‎that need explicit legal guidance, such as accountability, privacy, and intellectual property rights. Artificial intelligence poses unprecedented ‎legal challenges that call for a thorough understanding and new regulatory measures, even though it can also be a driving force for ‎innovation and progress. By streamlining legal work processes, artificial intelligence applications have also been crucial in the legal sector, ‎benefiting both attorneys and clients. It is anticipated that the fields of law and technology will continue to intersect in the years to come with ‎even greater outcomes. One could argue that artificial intelligence applications in the legal field are still in their infancy and continue to ‎encounter numerous obstacles.
  • Artificial intelligence of blockchain in agriculture products quality and safety customers leadership
    Dr. S. Aruna Deepthi, Vaishali Hirlekar, Anuradha Kanade, Asha G. R., Dr. Sharmila Sengupta, Dr. Priya R. L, Peddinti Neeraja, Dr. M. Saravanan, S. Sriram
    International Journal of Basic and Applied Sciences, 2025
    Because digital technology enhances the effectiveness and transparency of supply chain operations while assisting in the exploration of ‎the value of data in the chain. Digital technology can significantly increase the supply chain's efficiency for agricultural products. Beginning ‎with a study of the road for digital technology to enable the supply chain for agricultural products, the paper then explores the internal ‎mechanisms of digital technology that promote the development of the efficiency of the operation of the supply chain for agricultural ‎products. Several issues in the supply chain for conventional agricultural products, including information asymmetry, uncomfortable ‎communication, and disruptions in production and sales, can be resolved with the help of the research findings. A vital process that involves ‎farmers, purchasers, suppliers, and several other parties is the supply chain. It is the foundation of the entire farming and agricultural system. ‎The supply chain is time-consuming and faces multiple challenges. These days, the two most popular technologies are blockchain and ‎artificial intelligence. The suggestion a blockchain ecosystem with AI capabilities for the agricultural supply chain. To illustrate the potential ‎of the suggested model, a case study is provided. Artificial intelligence has completely changed the supply chain management process. AI is ‎essential to the warehousing process because it helps with information collection, analysis, and inventory management, which helps ‎businesses become more efficient and make more money. AI accurately forecasts demand, changes orders, and reroutes goods while they ‎are in route. Big businesses like Google and Amazon have made significant investments in artificial intelligence. Industries like finance and ‎agriculture have adopted blockchain for traceability, including insurance, natural state, and protecting private data. One such industry where ‎blockchain is being widely used to improve and transform its many facets is agriculture‎.
  • A Hybrid Career Guidance Platform using Rule-Based and Machine Learning Models for Personalized Recommendations
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Enhancing Heart Failure Prediction with Temporal Attention and Graph-based Learning
    Peddinti Neeraja, P. Dhana Lakshmi
    Proceedings of 5th International Conference on Pervasive Computing and Social Networking Icpcsn 2025, 2025
    Heart failure (HF) remains a major global health concern, with early risk prediction playing a crucial role in improving patient outcomes and reducing hospitalization rates. Traditional predictive models often struggle to capture the complex and evolving nature of a patient’s health status over time. To address this challenge, we propose a Temporal Risk Pattern Network (TRPN), a novel approach that leverages time-series electronic health records (EHRs) to identify patterns in disease progression. By incorporating a graph-based structure with temporal attention mechanisms, TRPN dynamically models fluctuations in key clinical indicators, allowing for more accurate and personalized risk assessment. Our model constructs a temporal risk graph, which continuously learns from patient data to detect early warning signals of heart failure. This approach enables the identification of both short-term variations and long-term trends in vital signs, laboratory results, and comorbidities. Using real-world EHR datasets, we evaluate TRPN against traditional machine learning models, demonstrating its superior performance in accuracy, recall, and F1-score. Additionally, the interpretability of the network enhances clinical trust, supporting healthcare providers in making timely and informed decisions. By integrating advanced temporal modeling with predictive analytics, TRPN offers a robust framework for heart failure risk prediction, paving the way for proactive patient management and personalized treatment strategies.
  • Precision Agriculture: AI-based Fertilizer Recommendations for Sustainable Crop Production
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Surveillance System for Real-Time High-Precision Recognition of Criminal Faces from Wild Videos
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Smart Conversational Agent for Image Understanding and Response Generation Chatbot System
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • AI-Based Adaptive Cyber Security System for Zero Day Attacks
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Machine Learning-based Strategies for Monkey Pox Outbreak Prediction and Mitigation
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Smart Diagnostics: The Future of Neurodegenerative Disease Detection
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Predictive Modelling of Chronic Kidney Disease by using CNN and MobileNet
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Edubot: Simplifying Access to Course Information, Admission process, and Campus Navigation for Admissions
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Enhance the Internet of Things Light Weight Communication System Protocol Authentication
    Sriram S, Sridhar S, Usha S, Peddinti Neeraja, Sasikala R, Priya RL
    Indian Journal of Engineering, 2025
  • The Future Role of Environmental Sustainability-Optimization using Artificial Intelligence Electric Vehicles
    Padmaavathy.PA, Panjagari Kavitha, Peddinti Neeraja, D.V. Lokeswar Reddy, S.Venkatachalam, M.Saravanan
    Proceedings of 5th International Conference on Trends in Material Science and Inventive Materials Ictmim 2025, 2025
  • The Future Role of AI-Powered Healthcare Assistants in Medical Sector Drone Monitoring Systems
    Karrar Hussain, P. Saradha, Suresh Govindasamy, Peddinti Neeraja, G.B. Suresh, Revathi V
    Proceedings of the 7th International Conference on Intelligent Sustainable Systems Iciss 2025, 2025
  • Hybrid Machine Learning Classification for Early Heart Disease Prediction
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • DL-Based Somnolence Detection for Improved Driver Safety and Alertness Monitoring
    Peddinti Neeraja, R. G. Kumar, M. S. Kumar, Kazi Kutubuddin, Sayyad Liyakat, M. S. Vani
    Proceedings International Conference on Computing Power and Communication Technologies Ic2pct 2024, 2024
  • Analysis of Artificial Intelligence Hybrid Security Cloud System Intelligent Technology and its Applications
    R. Prameela Devi, Peddinti Neeraja, V.K. Ajay, A. Nirmal Raj, D.V. Lokeswar Reddy, G. Ramachandran
    Proceedings 2024 4th International Conference on Soft Computing for Security Applications Icscsa 2024, 2024
  • Real-Time Identification of Medicinal Plants Using Deep Learning Techniques
    S. Girinath, Peddinti Neeraja, M. Sunil Kumar, S. Kalyani, B. Lakshmi Mamatha, N.R.T. GruhaLakshmi
    Tqcebt 2024 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024, 2024
  • Analysis of Wearable Sensor Electronics and Wireless Health Monitoring Systems
    International Journal of Intelligent Systems and Applications in Engineering, 2023
  • An IoT Assimilated Distributed Control Method for Green Electrical Transmission Grids
    Mohd Nasrun Mohd Nawi, Tamil Selvi, Peddinti Neeraja, Rama Krishna Yellapragada, Himani Jain
    Wseas Transactions on Power Systems, 2023
  • Deep Learning for Plant Species Classification
    M. Sunil Kumar, Peddinti Neeraja, Anusha Gunamaneni, Ankireddy Vijaya Nirmala, Gobburu Nikhil
    2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology Icseiet 2023, 2023
  • An Innovative Analysis of Assistive Technology Emergency Situations Android and IoT based Telemedicine Nursing Monitoring Management
    T Padmavathi, P. Pavitra, Ms. Peddinti Neeraja, PM Murali, G. Ramachandran, B V. Febiyola Justin
    Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing Icaaic 2023, 2023
  • Future IoT Applications using Artificial Intelligence-based Sensors: Agriculture
    S. Venkatachalam, Peddinti Neeraja, S. Kavitha, B. Rajasekaran, G. Santhosh Kumar, Bibin K Jose
    4th International Conference on Inventive Research in Computing Applications Icirca 2022 Proceedings, 2022

RECENT SCHOLAR PUBLICATIONS

  • Enhancing thalassemia diagnosis through decision tree algorithms and clinical data analysis
    P Neeraja, PR Sai, T Yaswanth
    AIP Conference Proceedings 3371 (1), 030002 , 2026
    2026
  • Low Power Automation Using Bluetooth and Wearable Device Security Safety Device
    K Hussain, P Neeraja, S Aralikatti, MS Priya, A Ravichandran, T Sheela, ...
    2026 9th International Conference on Electronics, Materials Engineering … , 2026
    2026
  • A Comprehensive Survey on Nano-sensor Devices and Architectures for the Internet of Nano-Things (IoNT)
    R Ghugare
    J. Environ. Nanotechnol 15 (1), 91-99 , 2026
    2026
  • Enhancing Heart Failure Prediction with Temporal Attention and Graph-based Learning
    P Neeraja, PD Lakshmi
    2025 5th International Conference on Pervasive Computing and Social … , 2025
    2025
  • The Future Role of Environmental Sustainability-Optimization using Artificial Intelligence Electric Vehicles
    P PA, P Kavitha, P Neeraja, DVL Reddy, S Venkatachalam, M Saravanan
    2025 5th International Conference on Trends in Material Science and … , 2025
    2025
  • The Future Role of AI-Powered Healthcare Assistants in Medical Sector Drone Monitoring Systems
    K Hussain, P Saradha, S Govindasamy, P Neeraja, GB Suresh
    2025 7th International Conference on Intelligent Sustainable Systems (ICISS … , 2025
    2025
  • Enhance the internet of things light weight communication system protocol authentication
    S Sriram, S Sridhar, S Usha, P Neeraja, R Sasikala, RL Priya
    Indian J Eng 22, e11ije1700 , 2025
    2025
    Citations: 8
  • Artificial intelligence of blockchain in‎ agriculture products quality and safety‎ customers leadership
    DSA Deepthi, V Hirlekar, A Kanade, DS Sengupta, P Neeraja, ...
    International Journal of Basic and Applied Sciences 14 (1), 364-370 , 2025
    2025
  • Analysis of Artificial Intelligence Based Electronics Engineering Automation Nanotechnology and its Applications.
    S Aruna Deepthi, R Olayil, P Neeraja, PM Murali, DV Lokeswar, ...
    Journal of Computational Analysis & Applications 33 (5) , 2024
    2024
  • Analysis of Artificial Intelligence Hybrid Security Cloud System Intelligent Technology and its Applications
    RP Devi, P Neeraja, VK Ajay, AN Raj, DVL Reddy, G Ramachandran
    2024 4th International Conference on Soft Computing for Security … , 2024
    2024
    Citations: 3
  • Real-time identification of medicinal plants using deep learning techniques
    S Girinath, P Neeraja, MS Kumar, S Kalyani, BL Mamatha, ...
    2024 International Conference on Trends in Quantum Computing and Emerging … , 2024
    2024
    Citations: 10
  • DL-based somnolence detection for improved driver safety and alertness monitoring
    P Neeraja, RG Kumar, MS Kumar, KKS Liyakat, MS Vani
    2024 IEEE International Conference on Computing, Power and Communication … , 2024
    2024
    Citations: 37
  • Severity Level Prediction and Finding Cause in Flight Accidents Using Machine Learning
    MS Kumar, P Neeraja, R Amulya, K Swarna, TSP Reddy
    2023 International Conference on Sustainable Emerging Innovations in … , 2023
    2023
    Citations: 2
  • Deep Learning for Plant Species Classification
    MS Kumar, P Neeraja, A Gunamaneni, AV Nirmala, G Nikhil
    2023 International Conference on Sustainable Emerging Innovations in … , 2023
    2023
    Citations: 5
  • An innovative analysis of assistive technology emergency situations Android and IoT based telemedicine nursing monitoring management
    T Padmavathi, P Pavitra, MP Neeraja, PM Murali, G Ramachandran, ...
    2023 2nd International Conference on Applied Artificial Intelligence and … , 2023
    2023
    Citations: 7
  • A hybrid data acquisition model for precision agriculture using IoT, engineering nanomaterials and artificial intelligence
    KS Moorthy, MP Neeraia, P Pavitra, R Arivumalar, K Veeranjaneyulu, ...
    2023 7th International conference on trends in electronics and informatics … , 2023
    2023
    Citations: 7
  • An IoT assimilated distributed control method for green electrical transmission grids
    MNM Nawi, T Selvi, P Neeraja, RK Yellapragada, H Jain
    WSEAS Trans Power Syst 18, 321-9 , 2023
    2023
    Citations: 1
  • Analysis of wearable sensor electronics and wireless health monitoring systems
    K Hussain, N Peddinti, BK Jose, CVS Prasad, S Selvaraju, AB Kodali
    Elsevier , 2023
    2023
    Citations: 5
  • Future IoT Applications using Artificial Intelligence-based Sensors: Agriculture
    S Venkatachalam, P Neeraja, S Kavitha, B Rajasekaran, GS Kumar, ...
    2022 4th International Conference on Inventive Research in Computing … , 2022
    2022
    Citations: 2
  • NOVEL ENSEMBLE MACHINE LEARNING MODEL DESIGNING FOR ALZHEIMER’S DISEASE DETECTION
    N PEDDINTI, V MOUNICA, R VEERAMOHANARAO, K JETTI, ...
    NeuroQuantology 20 (18), 373 , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • DL-based somnolence detection for improved driver safety and alertness monitoring
    P Neeraja, RG Kumar, MS Kumar, KKS Liyakat, MS Vani
    2024 IEEE International Conference on Computing, Power and Communication … , 2024
    2024
    Citations: 37
  • Real-time identification of medicinal plants using deep learning techniques
    S Girinath, P Neeraja, MS Kumar, S Kalyani, BL Mamatha, ...
    2024 International Conference on Trends in Quantum Computing and Emerging … , 2024
    2024
    Citations: 10
  • Enhance the internet of things light weight communication system protocol authentication
    S Sriram, S Sridhar, S Usha, P Neeraja, R Sasikala, RL Priya
    Indian J Eng 22, e11ije1700 , 2025
    2025
    Citations: 8
  • An innovative analysis of assistive technology emergency situations Android and IoT based telemedicine nursing monitoring management
    T Padmavathi, P Pavitra, MP Neeraja, PM Murali, G Ramachandran, ...
    2023 2nd International Conference on Applied Artificial Intelligence and … , 2023
    2023
    Citations: 7
  • A hybrid data acquisition model for precision agriculture using IoT, engineering nanomaterials and artificial intelligence
    KS Moorthy, MP Neeraia, P Pavitra, R Arivumalar, K Veeranjaneyulu, ...
    2023 7th International conference on trends in electronics and informatics … , 2023
    2023
    Citations: 7
  • Deep Learning for Plant Species Classification
    MS Kumar, P Neeraja, A Gunamaneni, AV Nirmala, G Nikhil
    2023 International Conference on Sustainable Emerging Innovations in … , 2023
    2023
    Citations: 5
  • Analysis of wearable sensor electronics and wireless health monitoring systems
    K Hussain, N Peddinti, BK Jose, CVS Prasad, S Selvaraju, AB Kodali
    Elsevier , 2023
    2023
    Citations: 5
  • Analysis of Artificial Intelligence Hybrid Security Cloud System Intelligent Technology and its Applications
    RP Devi, P Neeraja, VK Ajay, AN Raj, DVL Reddy, G Ramachandran
    2024 4th International Conference on Soft Computing for Security … , 2024
    2024
    Citations: 3
  • Severity Level Prediction and Finding Cause in Flight Accidents Using Machine Learning
    MS Kumar, P Neeraja, R Amulya, K Swarna, TSP Reddy
    2023 International Conference on Sustainable Emerging Innovations in … , 2023
    2023
    Citations: 2
  • Future IoT Applications using Artificial Intelligence-based Sensors: Agriculture
    S Venkatachalam, P Neeraja, S Kavitha, B Rajasekaran, GS Kumar, ...
    2022 4th International Conference on Inventive Research in Computing … , 2022
    2022
    Citations: 2
  • An IoT assimilated distributed control method for green electrical transmission grids
    MNM Nawi, T Selvi, P Neeraja, RK Yellapragada, H Jain
    WSEAS Trans Power Syst 18, 321-9 , 2023
    2023
    Citations: 1
  • Enhancing thalassemia diagnosis through decision tree algorithms and clinical data analysis
    P Neeraja, PR Sai, T Yaswanth
    AIP Conference Proceedings 3371 (1), 030002 , 2026
    2026
  • Low Power Automation Using Bluetooth and Wearable Device Security Safety Device
    K Hussain, P Neeraja, S Aralikatti, MS Priya, A Ravichandran, T Sheela, ...
    2026 9th International Conference on Electronics, Materials Engineering … , 2026
    2026
  • A Comprehensive Survey on Nano-sensor Devices and Architectures for the Internet of Nano-Things (IoNT)
    R Ghugare
    J. Environ. Nanotechnol 15 (1), 91-99 , 2026
    2026
  • Enhancing Heart Failure Prediction with Temporal Attention and Graph-based Learning
    P Neeraja, PD Lakshmi
    2025 5th International Conference on Pervasive Computing and Social … , 2025
    2025
  • The Future Role of Environmental Sustainability-Optimization using Artificial Intelligence Electric Vehicles
    P PA, P Kavitha, P Neeraja, DVL Reddy, S Venkatachalam, M Saravanan
    2025 5th International Conference on Trends in Material Science and … , 2025
    2025
  • The Future Role of AI-Powered Healthcare Assistants in Medical Sector Drone Monitoring Systems
    K Hussain, P Saradha, S Govindasamy, P Neeraja, GB Suresh
    2025 7th International Conference on Intelligent Sustainable Systems (ICISS … , 2025
    2025
  • Artificial intelligence of blockchain in‎ agriculture products quality and safety‎ customers leadership
    DSA Deepthi, V Hirlekar, A Kanade, DS Sengupta, P Neeraja, ...
    International Journal of Basic and Applied Sciences 14 (1), 364-370 , 2025
    2025
  • Analysis of Artificial Intelligence Based Electronics Engineering Automation Nanotechnology and its Applications.
    S Aruna Deepthi, R Olayil, P Neeraja, PM Murali, DV Lokeswar, ...
    Journal of Computational Analysis & Applications 33 (5) , 2024
    2024
  • NOVEL ENSEMBLE MACHINE LEARNING MODEL DESIGNING FOR ALZHEIMER’S DISEASE DETECTION
    N PEDDINTI, V MOUNICA, R VEERAMOHANARAO, K JETTI, ...
    NeuroQuantology 20 (18), 373 , 2022
    2022