Search Results - "B.D., Parameshachari"
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Demand side management of small scale loads in a smart grid using glow-worm swarm optimization technique
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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Exploring Multimodal Multiscale Features for Sentiment Analysis Using Fuzzy-Deep Neural Network Learning
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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3
Large Models for Cooperative Control of Connected and Autonomous Vehicles
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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Large model-driven hyperscale healthcare data fusion analysis in complex multi-sensors
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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Quantum Fruit Fly algorithm and ResNet50-VGG16 for medical diagnosis
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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Computational linguistics processing in indigenous language
Published in Pattern recognition letters (01-11-2022)Get full text
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7
Resource Optimized Selective Image Encryption of Medical Images Using Multiple Chaotic Systems
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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Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients
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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Optimizing Deep Neuro-fuzzy Network for ECG Medical Big Data through Integration of Multiscale Features
Published in IEEE transactions on fuzzy systems (2024)“…Electrocardiogram (ECG) analysis and diagnosis are important auxiliary means for preventing and detecting cardiovascular diseases. Traditional approaches often…”
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10
Generative Adversarial Privacy for Multimedia Analytics Across the IoT-Edge Continuum
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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Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT
Published in IEEE journal of biomedical and health informatics (27-11-2023)“…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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ERLNEIL-MDP: Evolutionary reinforcement learning with novelty-driven exploration for medical data processing
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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Cooperative communication for future wireless network virtualization
Published in Physical communication (01-08-2023)Get full text
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14
DLLF-2EN: Energy-Efficient Next Generation Mobile Network With Deep Learning-Based Load Forecasting
Published in IEEE eTransactions on network and service management (16-08-2024)“…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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15
Low-Complexity Beamforming Design for Green Near-Field Communications in 6G Ultra-Massive Multiple-Input-Multiple-Output
Published in IEEE transactions on green communications and networking (19-06-2024)“…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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Integration of Big Data and Artificial Intelligence in Constructing Learners' Individualized Feedback System
Published in 2023 International Conference on Data Science and Network Security (ICDSNS) (28-07-2023)“…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 -
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Performance degradation issues of PV solar power plant
Published in 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) (01-12-2017)“…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 -
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Real-Time Hand Signal Detection Using Convolutional Neural Networks
Published in 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS) (24-11-2023)“…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 -
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Hepatitis C Disease Prediction Using Machine Learning Approach
Published in 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS) (24-11-2023)“…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 -
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Brain Stroke Prediction using Decision Tree Algorithm
Published in 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) (20-10-2023)“…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