Wearable Sepsis Early Warning Using Cloud Computing and Logistic Regression Predictive Analytics J. Alphas Jeba Singh, J. Gnanasoundharam, M. Birunda, G. Sudha, S.P. Maniraj, C. Srinivasan 2024 11th International Conference on Reliability Infocom Technologies and Optimization Trends and Future Directions Icrito 2024, 2024 The significant morbidity and death rates associated with sepsis indicate that it is still an important health care concern. Wearable technologies, cloud computing, and logistic regression predictive analytics are proposed as unique techniques to identify sepsis early on in this research. Wearable sensors continuously monitor physiological parameters, collecting real-time data and sending it to the cloud for analysis. A logistic regression model trained using prior patient data can analyze the incoming data and predict the chance of sepsis development. The cloud's scalability, adaptability, and real-time processing communicate the necessity for quick interventions. The predictive analytics method shows some encouraging accuracy in spotting the first symptoms of sepsis and alerting doctors just in time. Combining wearable technology with cloud computing enhances accessibility to crucial health data, permitting remote monitoring and proactive healthcare management. The feasibility of the suggested approach in early sepsis diagnosis has been shown via both simulated and real-world patient studies. This system could enhance patient outcomes by facilitating early interventions and individualized healthcare recommendations. The cloud-based solution's scalability and flexibility also open the door to more widespread use in predictive analytics for a wide range of medical disorders.
Deep Learning System in Curvelet Domain for Skin Cancer Diagnosis G. Sudha, M. Birunda, J. Gnanasoundharam, J. Alphas Jeba Singh 2023 4th International Conference on Electronics and Sustainable Communication Systems Icesc 2023 Proceedings, 2023 Early identification and diagnosis are essential in order to provide appropriate treatment and reduce the mortality rate due to skin cancer. However, Skin Cancer Diagnosis (SCD) may be difficult, even for experienced doctors, since it needs visual inspection of skin lesions and a high degree of knowledge to differentiate between anomalies. This makes it difficult to detect skin cancer. Computer Aided Diagnosis (CAD) systems have the potential to improve the accuracy of SCD. This study proposes a Curvelet based Deep Learning Approach (C-DLA) for SCD. At first, the dermoscopic images are decomposed using Curvelet transform. Then the low frequency components are fed to the Convolutional Neural Network (CNN) for the classification. Results of the proposed C-DLA approach on PH2 database images shows promising results of 99% accuracy for the classification. The proposed CDLA can potentially provide more accurate diagnoses of skin lesions, as it can analyze deep features from the convolutional layers and detect patterns by dense layer that may be difficult for human observers to discern.
Remote Monitoring and Analytics For Cloud-Based Drip Saline Fluid Management System J Gnanasoundharam, G Sudha, JAJ Singh, M Birunda, EN Ganesh 2024 5th International Conference on Smart Electronics and Communication … , 2024 2024.0 Citations: 1
Ultra-fast degradation of thiazine dyes in the presence of natural sunlight by coupling of titania with zinc oxide nanoparticles in the room temperature JA Jebasingh, SM Vidyavathy, R Stanley Journal of the Iranian Chemical Society 21 (4), 1131-1140 , 2024 2024.0 Citations: 3
Wearable Sepsis Early Warning Using Cloud Computing and Logistic Regression Predictive Analytics JAJ Singh, J Gnanasoundharam, M Birunda, G Sudha, SP Maniraj, ... 2024 11th International Conference on Reliability, Infocom Technologies and … , 2024 2024.0 Citations: 63
Deep Learning System in Curvelet Domain for Skin Cancer Diagnosis G Sudha, M Birunda, J Gnanasoundharam, JAJ Singh 2023 4th International Conference on Electronics and Sustainable … , 2023 2023.0 Citations: 2
Super-efficient photocatalytic degradation of methylene blue, methyl orange and rhodamine B dyes using low-cost ZnO–MgO nanocomposite under natural sunlight and its … R Stanley, SK Balu, J Alphas Jebasingh, S Manisha Vidyavathy Research on Chemical Intermediates 49 (6), 2583-2602 , 2023 2023.0 Citations: 21
Cost-effective and sunlight-driven degradation of anionic and cationic dyes with pure ZnO nanoparticles R Stanley, JA Jebasingh, SM Vidyavathy International Journal of Environmental Science and Technology 19 (11), 11249 … , 2022 2022.0 Citations: 8
A Novel Data Mining Based Approach for Healthcare Applications G Sudha, M Birunda, J Gnanasoundharam, JAJ Singh International Journal of Industrial Engineering 6 (2), 34-40 , 2022 2022.0 Citations: 10
Excellent Photocatalytic degradation of Methylene Blue, Rhodamine B and Methyl Orange dyes by Ag-ZnO nanocomposite under natural sunlight irradiation R Stanley, JA Jebasingh, PK Stanley, P Ponmani, ME Shekinah, ... Optik 231, 166518 , 2021 2021.0 Citations: 85
Sol-gel preparation of surfactants assisted titania for solar photocatalysis JA Jebasingh, R Stanley, SM Vidyavathy Materials Letters 279, 128460 , 2020 2020.0 Citations: 17
Enhanced sunlight photocatalytic degradation of methylene blue by rod-like ZnO-SiO2 nanocomposite R Stanley Optik 180, 134-143 , 2019 2019.0 Citations: 39
Low temperature titania nano particles for high performance solar photo degradation R Stanley Optik 179, 901-908 , 2019 2019.0 Citations: 10
Design and analysis of digital circuits using Quantum Dot Cellular Automata (QCA) M Prabakaran, JAJ Singh Int. J. Innov. Res. Comput. Commun. Eng 2 (11), 6973-6979 , 2014 2014.0 Citations: 3
Utilizing Visual Cryptography for Secure Biometric Authentication in Healthcare sector JAJ Singh, MP Priya, C Petchikani, R Santhiya, M Selvamathi
DESIGN AND IMPLEMENTATION OF HAND GESTURE RECOGNITION USING PHYSICALLY CHALLENGED PEOPLE
Facile synthesis and characterization of compositionally modified titania based nano materials to enhance sunlight photocatalytic activity J Alphas JebaSingh Chennai , 0
EFFICIENT ERROR DETECTION AND CORRECTION USING DECIMAL MATRIX CODE FOR MEMORY RELIABILITY V Vinothini, JA Jebasingh
MOST CITED SCHOLAR PUBLICATIONS
Excellent Photocatalytic degradation of Methylene Blue, Rhodamine B and Methyl Orange dyes by Ag-ZnO nanocomposite under natural sunlight irradiation R Stanley, JA Jebasingh, PK Stanley, P Ponmani, ME Shekinah, ... Optik 231, 166518 , 2021 2021.0 Citations: 85
Wearable Sepsis Early Warning Using Cloud Computing and Logistic Regression Predictive Analytics JAJ Singh, J Gnanasoundharam, M Birunda, G Sudha, SP Maniraj, ... 2024 11th International Conference on Reliability, Infocom Technologies and … , 2024 2024.0 Citations: 63
Enhanced sunlight photocatalytic degradation of methylene blue by rod-like ZnO-SiO2 nanocomposite R Stanley Optik 180, 134-143 , 2019 2019.0 Citations: 39
Super-efficient photocatalytic degradation of methylene blue, methyl orange and rhodamine B dyes using low-cost ZnO–MgO nanocomposite under natural sunlight and its … R Stanley, SK Balu, J Alphas Jebasingh, S Manisha Vidyavathy Research on Chemical Intermediates 49 (6), 2583-2602 , 2023 2023.0 Citations: 21
Sol-gel preparation of surfactants assisted titania for solar photocatalysis JA Jebasingh, R Stanley, SM Vidyavathy Materials Letters 279, 128460 , 2020 2020.0 Citations: 17
A Novel Data Mining Based Approach for Healthcare Applications G Sudha, M Birunda, J Gnanasoundharam, JAJ Singh International Journal of Industrial Engineering 6 (2), 34-40 , 2022 2022.0 Citations: 10
Low temperature titania nano particles for high performance solar photo degradation R Stanley Optik 179, 901-908 , 2019 2019.0 Citations: 10
Cost-effective and sunlight-driven degradation of anionic and cationic dyes with pure ZnO nanoparticles R Stanley, JA Jebasingh, SM Vidyavathy International Journal of Environmental Science and Technology 19 (11), 11249 … , 2022 2022.0 Citations: 8
Ultra-fast degradation of thiazine dyes in the presence of natural sunlight by coupling of titania with zinc oxide nanoparticles in the room temperature JA Jebasingh, SM Vidyavathy, R Stanley Journal of the Iranian Chemical Society 21 (4), 1131-1140 , 2024 2024.0 Citations: 3
Design and analysis of digital circuits using Quantum Dot Cellular Automata (QCA) M Prabakaran, JAJ Singh Int. J. Innov. Res. Comput. Commun. Eng 2 (11), 6973-6979 , 2014 2014.0 Citations: 3
Deep Learning System in Curvelet Domain for Skin Cancer Diagnosis G Sudha, M Birunda, J Gnanasoundharam, JAJ Singh 2023 4th International Conference on Electronics and Sustainable … , 2023 2023.0 Citations: 2
Remote Monitoring and Analytics For Cloud-Based Drip Saline Fluid Management System J Gnanasoundharam, G Sudha, JAJ Singh, M Birunda, EN Ganesh 2024 5th International Conference on Smart Electronics and Communication … , 2024 2024.0 Citations: 1
Utilizing Visual Cryptography for Secure Biometric Authentication in Healthcare sector JAJ Singh, MP Priya, C Petchikani, R Santhiya, M Selvamathi
DESIGN AND IMPLEMENTATION OF HAND GESTURE RECOGNITION USING PHYSICALLY CHALLENGED PEOPLE
Facile synthesis and characterization of compositionally modified titania based nano materials to enhance sunlight photocatalytic activity J Alphas JebaSingh Chennai , 0
EFFICIENT ERROR DETECTION AND CORRECTION USING DECIMAL MATRIX CODE FOR MEMORY RELIABILITY V Vinothini, JA Jebasingh
