Search Results - "B.D., Parameshachari"

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  1. 1

    Demand side management of small scale loads in a smart grid using glow-worm swarm optimization technique by Puttamadappa, C, Parameshachari, BD

    Published in Microprocessors and microsystems (01-11-2019)
    “…Demand Side Management (DSM) is one of the most important parts of future smart power grid. With the rise in global energy awareness, smart grids enhance the…”
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    Journal Article
  2. 2

    Exploring Multimodal Multiscale Features for Sentiment Analysis Using Fuzzy-Deep Neural Network Learning by Wang, Xin, Lyu, Jianhui, Kim, Byung-Gyu, Parameshachari, B.D., Li, Keqin, Li, Qing

    Published in IEEE transactions on fuzzy systems (25-06-2024)
    “…Sentiment analysis, a challenging task in understanding human emotions expressed through diverse modalities, prompts the development of innovative solutions…”
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    Journal Article
  3. 3

    Large Models for Cooperative Control of Connected and Autonomous Vehicles by Wang, Xin, Lyu, Jianhui, Slowik, Adam, Peter, J Dinesh, Kim, Byung-Gyu, Parameshachari, B.D., Li, Keqin

    Published in IEEE transactions on vehicular technology (04-06-2024)
    “…Integrating large models (LMs) into future vehicles and transportation systems marks a significant advancement in mobility and transportation technology…”
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    Journal Article
  4. 4

    Large model-driven hyperscale healthcare data fusion analysis in complex multi-sensors by Lv, Jianhui, Kim, Byung-Gyu, Parameshachari, B.D., Slowik, Adam, Li, Keqin

    Published in Information fusion (01-03-2025)
    “…•We propose a novel large model-driven approach for hyperscale healthcare data fusion analysis in complex multi-sensor multi-sensors.•We use large models for…”
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    Journal Article
  5. 5

    Quantum Fruit Fly algorithm and ResNet50-VGG16 for medical diagnosis by Nijaguna, G.S., Babu, J. Ananda, Parameshachari, B.D., de Prado, Rocío Pérez, Frnda, Jaroslav

    Published in Applied soft computing (01-03-2023)
    “…Medical data are present in large amount and this is difficult to process for the diagnosis and Healthcare organization requires effective technique to handle…”
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    Journal Article
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  7. 7

    Resource Optimized Selective Image Encryption of Medical Images Using Multiple Chaotic Systems by Kiran, P, Parameshachari, B.D

    Published in Microprocessors and microsystems (01-06-2022)
    “…Medical images typically contain personal and diagnostic information about patients and are typically shared among hospitals, doctors, and patients via public…”
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    Journal Article
  8. 8

    Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients by Subramani, Prabu, K, Srinivas, B, Kavitha Rani, R, Sujatha, B.D, Parameshachari

    Published in Personal and ubiquitous computing (01-06-2023)
    “…Many Coronavirus disease 2019 (COVID-19) and post-COVID-19 patients experience muscle fatigues. Early detection of muscle fatigue and muscular paralysis helps…”
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    Journal Article
  9. 9

    Optimizing Deep Neuro-fuzzy Network for ECG Medical Big Data through Integration of Multiscale Features by Wang, Xin, Lv, Jianhui, Kim, Byung-Gyu, Parameshachari, B.D., Li, Keqin, Yang, Dongsheng, Shankar, Achyut

    “…Electrocardiogram (ECG) analysis and diagnosis are important auxiliary means for preventing and detecting cardiovascular diseases. Traditional approaches often…”
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    Journal Article
  10. 10

    Generative Adversarial Privacy for Multimedia Analytics Across the IoT-Edge Continuum by Wang, Xin, Lv, Jianhui, Kim, Byung-Gyu, Maple, Carsten, Parameshachari, B.D., Slowik, Adam, Li, Keqin

    Published in IEEE transactions on cloud computing (11-09-2024)
    “…The proliferation of multimedia-enabled IoT devices and edge computing enables a new class of data-intensive applications. However, analyzing the massive…”
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    Journal Article
  11. 11

    Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT by Liu, Wei, Zhao, Feng, Shankar, Achyut, Maple, Carsten, Peter, J Dinesh, Kim, Byung-Gyu, Slowik, Adam, Parameshachari, B.D., Lv, Jianhui

    “…Medical image analysis plays a crucial role in healthcare systems of Internet of Medical Things (IoMT), aiding in the diagnosis, treatment planning, and…”
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    Journal Article
  12. 12

    ERLNEIL-MDP: Evolutionary reinforcement learning with novelty-driven exploration for medical data processing by Lv, Jianhui, Kim, Byung-Gyu, Slowik, Adam, Parameshachari, B.D., Kumari, Saru, Chen, Chien-Ming, Li, Keqin

    Published in Swarm and evolutionary computation (01-12-2024)
    “…The rapid growth of medical data presents opportunities and challenges for healthcare professionals and researchers. To effectively process and analyze this…”
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    Journal Article
  13. 13
  14. 14

    DLLF-2EN: Energy-Efficient Next Generation Mobile Network With Deep Learning-Based Load Forecasting by Wang, Xin, Lv, Jianhui, Slowik, Adam, Parameshachari, B.D., Li, Keqin, Chen, Chien-Ming, Kumari, Saru

    “…The exponential growth of mobile data traffic in next generation networks has led to a significant increase in energy consumption, posing critical challenges…”
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    Journal Article
  15. 15

    Low-Complexity Beamforming Design for Green Near-Field Communications in 6G Ultra-Massive Multiple-Input-Multiple-Output by Wang, Xin, Lv, Jianhui, Slowik, Adam, Kim, Byung-Gyu, Parameshachari, B.D., Li, Keqin

    “…The ultra-massive multiple-input-multiple-output (UM-MIMO) is envisioned to be an integral part of future sixth-generation (6G) communication networks to meet…”
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    Journal Article
  16. 16

    Integration of Big Data and Artificial Intelligence in Constructing Learners' Individualized Feedback System by Chen, Jingchun, B.D., Parameshachari

    “…The evolution of Artificial Intelligence (AI) systems has led to the emergence of different feedback methods in L2 writing. However, it is not clear how these…”
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    Conference Proceeding
  17. 17

    Performance degradation issues of PV solar power plant by Begum, Shahida, Banu, Reshma, Ali Ahammed, G.F., Parameshachari, B.D., Rajashekarappa

    “…P V solar power plants are planned to work for long time, monitoring of plant will ensure a safety and longterm operation. The photovoltaic system degradation…”
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    Conference Proceeding
  18. 18

    Real-Time Hand Signal Detection Using Convolutional Neural Networks by Viswanatha, V, Ramachandra, A C, Parameshachari, B.D, Chaitra, M, Harika, L

    “…This paper aims at developing a robust hand signal detection system using the popular deep learning framework of TensorFlow. By harnessing the power of…”
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    Conference Proceeding
  19. 19

    Hepatitis C Disease Prediction Using Machine Learning Approach by Viswanatha, V, Ramachandra, A C, Parameshachari, B.D, Vardhini, Surepally Vishnnu, Santhoshini, Nithya

    “…The Hepatitis C virus (HCV), which affects millions of people globally is a serious global health issue. Effective management and diagnosis of HCV infection…”
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    Conference Proceeding
  20. 20

    Brain Stroke Prediction using Decision Tree Algorithm by V, Viswanatha, A C, Ramachandra, B.D, Parameshachari, Sharma, Aditya Kumar

    “…Stroke is a condition that occurs due to interruption or reduction in the blood supply to the brain. Due to this, the neurons in the brain suffer hypoxia which…”
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    Conference Proceeding