Kishore Balasubramanian

ORCID: 0000-0003-1918-9774
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About
Contact & Profiles
Research Areas
  • Statistical Distribution Estimation and Applications
  • Retinal Imaging and Analysis
  • Digital Imaging for Blood Diseases
  • Bayesian Methods and Mixture Models
  • Glaucoma and retinal disorders
  • Brain Tumor Detection and Classification
  • Statistical Methods and Bayesian Inference
  • Probability and Risk Models
  • Smart Agriculture and AI
  • Probabilistic and Robust Engineering Design
  • Prosthetics and Rehabilitation Robotics
  • AI in cancer detection
  • Muscle activation and electromyography studies
  • Radiomics and Machine Learning in Medical Imaging
  • IoT and Edge/Fog Computing
  • Advanced Statistical Methods and Models
  • Autonomous Vehicle Technology and Safety
  • Advanced Neural Network Applications
  • Traffic Prediction and Management Techniques
  • IoT-based Smart Home Systems
  • Smart Grid Security and Resilience
  • Spectroscopy and Chemometric Analyses
  • Artificial Intelligence in Healthcare
  • IoT and GPS-based Vehicle Safety Systems
  • Machine Learning and Data Classification

Open International University for Alternative Medicines
2021-2024

Sathyabama Institute of Science and Technology
2024

E.G.S. Pillay Engineering College
2021

Wright State University
2004-2005

University of Hyderabad
1996-2004

Indian Statistical Institute
1990-1997

Many organizations apply cloud computing to store and effectively process data for various applications. The user uploads the in has less security due unreliable verification of integrity. In this research, an enhanced Merkle hash tree method effective authentication model is proposed multi-owner increase data. Hash applies leaf nodes with a tag non-leaf node contains table information child encrypt large provides efficient mapping easily identifies changes made proper structure. developed...

10.32604/cmc.2022.021269 article EN Computers, materials & continua/Computers, materials & continua (Print) 2022-01-01

This study proposes a novel glaucoma identification system from fundus images through the deep belief network (DBN) optimized by elephant-herding optimization (EHO) algorithm. Initially, input image undergoes preprocessing steps of noise removal and enhancement processes, followed optical disc (OD) cup (OC) segmentation extraction structural, intensity, textural features. Most discriminative features are then selected using ReliefF algorithm passed to DBN for classification into glaucomatous...

10.3390/electronics11111763 article EN Electronics 2022-06-02

ABSTRACT Security in wireless sensor networks (WSNs) is of paramount importance due to their pervasive deployment critical infrastructure and sensitive environments. Despite ubiquitous nature, WSNs are vulnerable various security threats, ranging from unauthorized access data manipulation network disruption. In response these challenges, this paper proposes a novel approach leveraging the Base Stacked Long Short‐Term Memory with Attention Models AdaBoost Ensemble (BSLAM‐AE) architecture...

10.1002/cpe.70049 article EN Concurrency and Computation Practice and Experience 2025-04-11

Abstract Several statistical applications demand the adoption of models in which response is binary but outcomes different trials exhibit some degree correlation. Although independent case well known and treated even elementary textbooks, results on correlated Bernoulli are hardly found literature. Analogues binomial negative distributions presented this article when correlation Markovian type. Probability-generating function, probability mass mean, variance derived. The analysis allows...

10.1080/00031305.1994.10476068 article EN The American Statistician 1994-08-01

A linearizing control scheme for a highly nonlinear pneumatic muscle (PM) system is presented in this paper. Linearizing controllers have been widely used the of robotic systems. Since PM system, concept can be extended to these muscles. Pneumatic has air pressure as its input and output displacement muscle. The considered mass-spring-damper with damper spring. This nonlinearity makes design mathematical controller more difficult. paper uses fuzzy logic implement controller. model-based...

10.1109/nafips.2003.1226823 article EN 2004-06-22

Inverse dynamics is a commonly used technique in the control of dynamic systems. A fuzzy inverse controller (feedforward control) for Pneumatic Muscle system designed using two methods: Weighted Average and Least Squared Error. Both methods use data collected from system. The model obtained are tested its trajectory tracking capabilities results compared. Simulation show that feedforward Error method has better than weighted average scheme.

10.1109/fuzz.2003.1209374 article EN 2004-05-06

Pneumatic muscle (PM) system was first developed by McKibben in the 1950's as soft actuators artificial limbs and became commercially available 1980's. They have since been used high-tech robotic applications physical therapy for functional recovery they are extremely safe human presence compared to electric hydraulic actuators. A high power weight volume ratios make PM a very light yet powerful actuator. However, is highly nonlinear nature due its construction mechanical properties hence,...

10.1109/nafips.2005.1548581 article EN 2005-12-10

Summary Manual investigation of blood cell count is sometimes erroneous due to interoperability error, fatigue requiring expert skill and time consuming too. In particular, white (WBC) gains importance in identifying diseases like leukemia, leukopenia, etc. WBC does not possess regular structure because they move throughout the stream hence analyzing its types for shape quite challenging. To aid hematology, this work provides classification based on modified U‐Net support vector machines...

10.1002/cpe.7862 article EN Concurrency and Computation Practice and Experience 2023-07-05

Understanding and categorizing student activities within educational settings is a critical component of enhancing learning outcomes well-being. This study introduces an innovative approach to activity classification by leveraging facial emotion recognition technology. The system designed capture analyze students' expressions, interpret their emotional states, subsequently categorize activities. By deploying dataset encompassing wide range academic non - activities, this research explores...

10.23919/indiacom61295.2024.10498921 article EN 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) 2024-02-28

Parking congestion has become a major problem in today's metropolitan environments, resulting lost time, higher emissions, and irritated drivers. There is severe shortage of parking places areas because the ever-growing number vehicles urban population. This exacerbated traffic environmental pollution addition to making it difficult time-consuming find space. Conventional management systems are finding harder handle these issues; they frequently depend on physical barriers or manual...

10.23919/indiacom61295.2024.10499005 article EN 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) 2024-02-28
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