Case Study on Analysing the Early Disease Detection of Pancreatic Ductal Adenocarcinoma in Korean Association for Clinical Oncology Sijithra Ponnarassery Chandran, N. Santhi American Journal of Clinical Oncology Cancer Clinical Trials, 2024 Objectives: Pancreatic ductal adenocarcinoma (PDAC) is the most pervasive sort of pancreatic malignant growth. Due to the lack of early symptoms and effective methods for early detection and screening, the majority of patients (80% to 85%) are diagnosed with advanced metastatic or locally advanced disease, resulting in a low 5-year survival rate of 12%. The case study represents a comprehensive investigation into the intricate landscape of pancreatic cancer diagnosis within the Korean population. Methods: Grounded in epidemiological bits of knowledge, the review plans to disentangle the particular examples, commonness, and segment attributes of PDAC in Korea. By scrutinizing current diagnostic modalities, including conventional imaging techniques, molecular markers, and emerging technologies, the research seeks to evaluate the strengths and limitations of existing approaches within the Korean clinical context. Central to the study is an exploration of the collaborative initiatives spearheaded by the Association of Clinical Oncology in Korea in the domain of PDAC early detection. Analysing research projects, clinical trials, and interdisciplinary collaborations, the case study sheds light on the association’s pivotal role in driving innovation and progress in oncology. Results: The goal is to offer a detailed analysis of how the association helps in furthering knowledge and enhancing results in the management of PDAC. The case study delves into the implications of early PDAC detection for patient outcomes, emphasizing the significance of timely interventions and tailored treatment strategies. By outlining the potential benefits and challenges associated with early diagnosis, the study aims to inform health care policies, shape clinical guidelines, and guide future research priorities. Conclusion: Through a holistic approach, the case study endeavours to offer important experiences into the multifaceted landscape of PDAC early detection within the Korean health care system, contributing to the broader discourse on effective oncological practices and patient care.
Factor analysis of environmental effects in circular closed-loop supply chain network design and modelling under uncertainty in the manufacturing industry Sunil Kumar Karunakaran, Narayanan Ramasamy, Manoharan Dev Anand, Nagarajan Santhi Environmental Quality Management, 2024 Sustainable development and competitive advantage are impacted by strategic choices that maximize resource value and reduce waste. Numerous instances of thriving OEM remanufacturing can be observed, predominantly in the business‐to‐business domain. The significance of Closed‐Loop Supply Chain (CLSC) in generating value and managing the recovery process is widely acknowledged within the supply chain industry. Manufacturing companies now have to come up with green supply chain and process design strategies in response to recent changes in environmental regulations. This study designates the specific features of circular closed‐loop supply‐chain design considering end‐of‐life products. Uncertainty in various aspects, such as acquisition, processing, and market stages, is impeding the progress of circular economies and also sustainable development in closed‐loop supply chains (CLSCs). This has led to increased complexity in remanufacturing processes and decreased efficiency. To address this issue, the study proposes a comprehensive, integrative approach for establishing a sustainable CLSC network that adapts to fluctuating demand through a questionnaire analysis. Moreover, the study introduces a multi‐objective optimization model for a dual‐channel supply chain network, aiming to enhance the flow. This model considers both economic and environmental objectives to achieve a sustainable and efficient supply chain system. To determine the ideal circular closed‐loop supply chain (CLSC) network design, the research proposes linear programming model with mixed integer, where recovery can take place in one of three ways: through material recovery, component recovery, or product recovery. Numerous findings from a thorough analysis by data backup that inform CLSC managers of ways to improve product returns in terms of quantity and quality. To address the uncertainty problem, the research also developed the fuzzy credibility constraint technique with a Simulated Annealing algorithm. Using cutting‐edge methods, it is explored and compared how sensitivity analysis results, the impact of altering the problem parameters, and the performance of the suggested model respectively.
Retrieving mobile based scalable images using position scale orientation-scale invariant feature transform algorithm Journal of Engineering Science and Technology, 2020
A heuristic fuzzy clustering approach for defect detection on titanium coated metal surface Journal of Advanced Research in Dynamical and Control Systems, 2018
A novel adaptive clustering algorithm using validity index in remote sensing data International Journal of Applied Engineering Research, 2017
A new hybrid technique for data encryption Md. Atiullah Khan, Kailash Kr. Mishra, N. Santhi, J. Jayakumari Global Conference on Communication Technologies Gcct 2015, 2015
Sustainability Analysis in an Automobile Industry Using ISM and Micmac Analysis SS SAJI, N RAMASAMY, M ANAND, N SANTHI Management and Production Engineering Review , 2026 2026
Vibration Analysis of MR Damper in Non-Linear Suspension System by Hybrid optimization with Deep learning STA Jebaraj, N Ramasamy, MD Anand, N Santhi Journal of Vibration Engineering & Technologies 13 (6), 421 , 2025 2025
Hybrid PNN-PPN 10 T SRAM and LCTS for Leakage Reduction in VLSI AP Bose, N Santhi IETE Journal of Research, 1-17 , 2025 2025
Scale Average (GSA)-Based PCA K Annbuselvi, N Santhi, S Sivakumar Advances in Artificial Intelligence and Machine Learning: Select Proceedings … , 2025 2025
Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model. F Beevi, N Santhi, N Ramasamy Advanced Ultrasound in Diagnosis & Therapy (AUDT) 9 (1) , 2025 2025 Citations: 1
Case Study on Analysing the Early Disease Detection of Pancreatic Ductal Adenocarcinoma in Korean Association for Clinical Oncology SP Chandran, N Santhi American Journal of Clinical Oncology 47 (10), 475-484 , 2024 2024
Analysing the performance indicators in SME using ISM-MICMAC approach AS Ayswer, N Ramasamy, M DevAnand, N Santhi Journal of The Institution of Engineers (India): Series C 105 (5), 987-996 , 2024 2024 Citations: 3
Factor analysis of environmental effects in circular closed‐loop supply chain network design and modelling under uncertainty in the manufacturing industry SK Karunakaran, N Ramasamy, MD Anand, N Santhi Environmental Quality Management 34 (1), e22229 , 2024 2024 Citations: 6
Coupling Coordination and Data Management for Additive Manufacturing Systems Based on Smart Logistics V Ramakrishnan, N Ramasamy, MD Anand, N Santhi Environmental Claims Journal 36 (3), 278-304 , 2024 2024 Citations: 2
Analysing the performance of a Manufacturing Firm using Hierarchical Approach AS Ayswer, N Ramasamy, MD Anand, N Santhi Journal of The Institution of Engineers (India): Series C 105 (3), 417-426 , 2024 2024 Citations: 2
Leakage Reduction on Universal Gates Using ONOFIC Technique AP Bose, N Santhi 2024 International Conference on E-mobility, Power Control and Smart Systems … , 2024 2024
Unlocking the future of stroke diagnosis-bayesian CNN and MRI fusion N Santhi, N Ramasamy 2024 International Conference on E-mobility, Power Control and Smart Systems … , 2024 2024 Citations: 4
Parametric analysis of non-linear suspension system by optimal MR damper by rider model with sensor STA Jebaraj, N Ramasamy, MD Anand, N Santhi Asian Journal of Civil Engineering 25 (2), 1413-1425 , 2024 2024 Citations: 1
Prioritizing Key Performance Indicators for the Mining Industry in Kerala: An AHP Approach AS Ayswer, N Ramasamy, M Dev Anand, N Santhi Management and Production Engineering Review 15 (3), 1-14 , 2024 2024 Citations: 4
Decision-Level Fusion of Face and Gait Cues Using Fusion of Median Local Binary Pattern (Median-LBP) and Gabor Scale Average (GSA)-Based PCA→ LDA K Annbuselvi, N Santhi, S Sivakumar International Conference on Advances and Applications of Artificial … , 2023 2023
Supply chain management efficiency improvement in the automobile industry using lean six sigma and artificial neural network V Ramakrishnan, N Ramasamy, MD Anand, N Santhi IEEE Transactions on Engineering Management 71, 3278-3294 , 2023 2023 Citations: 26
Determination of sustainable factors in green supply chain management with the adoption of green logistics in the manufacturing industry SK Karunakaran, R Narayanan, MD Anand, N Santhi Environmental Claims Journal 35 (4), 367-387 , 2023 2023 Citations: 4
Analyzing the significant criteria for sustainability in the automotive industry using interpretive structural modeling and micmac analysis NS Saji S S., N.Ramasamy,Dev Anand China Petroleum Processing and Petrochemical Technology 23 (2), 1680-1707 , 2023 2023
Evaluation of key performance indicators in SME using AHP technique NS Ayswer a.s., N.Ramasamy,Dev Anand China Petroleum Processing and Petrochemical Technology 23 (2), 1717-1735 , 2023 2023
T1-Weighted Magnetic Resonance Imaging for Automatic Stroke Lesion Segmentation N Santhi, N Ramasamy 2023 International Conference on Circuit Power and Computing Technologies … , 2023 2023 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Spatial frequency discrete wavelet transform image fusion technique for remote sensing applications J Jinju, N Santhi, K Ramar, BS Bama Engineering Science and Technology, an International Journal 22 (3), 715-726 , 2019 2019 Citations: 99
Retracted article: Localization and segmentation of metal cracks using deep learning Y Aslam, N Santhi, N Ramasamy, K Ramar Journal of Ambient Intelligence and Humanized Computing 12 (3), 4205-4213 , 2021 2021 Citations: 63
Supply chain management efficiency improvement in the automobile industry using lean six sigma and artificial neural network V Ramakrishnan, N Ramasamy, MD Anand, N Santhi IEEE Transactions on Engineering Management 71, 3278-3294 , 2023 2023 Citations: 26
A novel feature descriptor for automatic change detection in remote sensing images B Dalmiya, C.P., Santhi, N., Sathyabama Egyptian Journal of Remote Sensing and Space Science 22 (2), 183-192 , 2019 2019 Citations: 25
A review study on early detection of pancreatic ductal adenocarcinoma using artificial intelligence assisted diagnostic methods RN Sijithra PS, Santhi N European Journal of Radiology 166 , 2023 2023 Citations: 18
A new hybrid technique for data encryption MA Khan, KK Mishra, N Santhi, J Jayakumari GCCT 2015 International Conference , 2015 2015 Citations: 17
A comprehensive survey on optimization techniques in image processing Y Aslam, N Santhi Materials Today: Proceedings 24, 1758-1765 , 2020 2020 Citations: 16
A review on various clustering approaches for image segmentation Y Aslam, N Santhi, N Ramasamy, K Ramar 2020 fourth international conference on inventive systems and control (ICISC … , 2020 2020 Citations: 11
A modified adaptive thresholding method using cuckoo search algorithm for detecting surface defects K Aslam, Y., Santhi, N., Ramasamy, N., Ramar International Journal of Advanced Computer Science and Applications 10 (5 … , 2019 2019 Citations: 10
Teeth feature extraction and matching for human identification using morphological skeleton transform LCCJ Joseph, LB George, N Santhi 2016 International Conference on Energy Efficient Technologies for … , 2016 2016 Citations: 10
Content-based image retrieval for mobile devices using multi-stage autoencoders KS Aiswarya, N Santhi, K Ramar Journal of Critical Reviews 7 (6), 63-69 , 2020 2020 Citations: 9
An Effective Surface Defect Detection Method Using Adaptive Thresholding Fused With PSO Algorithm RK Yasir Aslam, Santhi N, Ramasamy N International Journal of Simulation: Systems, Science and Technology 19 (6 … , 2018 2018 Citations: 9
Role of feature extraction techniques: PCA and LDA for appearance based gait recognition K Annbuselvi, N Santhi Int J Comput Sci Eng 6 (4), 38-44 , 2018 2018 Citations: 7
A heuristic fuzzy clustering approach for defect detection on titanium coated metal surface K Aslam, Y., Santhi, N., Ramasamy, N., Ramar Journal of Advanced Research in Dynamical and Control Systems 10 (4), 105-111 , 2018 2018 Citations: 7
Intelligences of fusing face and gait in multimodal biometric system: a contemporary study K Annbuselvi, N Santhi Int J Comput Sci Trends Technol (IJCST) 5 (2), 516-522 , 2017 2017 Citations: 7
Factor analysis of environmental effects in circular closed‐loop supply chain network design and modelling under uncertainty in the manufacturing industry SK Karunakaran, N Ramasamy, MD Anand, N Santhi Environmental Quality Management 34 (1), e22229 , 2024 2024 Citations: 6
Performance analysis of feature extraction N Santhi, K Annbuselvi International Journal of Engineering Research in Computer Science and … , 2018 2018 Citations: 6
Region based feature fusion of imperfect face and gait cues for human recognition using Median-LBPF and Median-LBPG based PCA followed by LDA K Annbuselvi, N Santhi, S Sivakumar Int J Eng Comput Sci 11 (1), 25483-25492 , 2022 2022 Citations: 5
A novel algorithm to analyze retinal image using morphological operators N Santhi, GD Shajula, K Ramar Procedia Engineering 38, 3880-3891 , 2012 2012 Citations: 5
Unlocking the future of stroke diagnosis-bayesian CNN and MRI fusion N Santhi, N Ramasamy 2024 International Conference on E-mobility, Power Control and Smart Systems … , 2024 2024 Citations: 4