Strategies for the sustainable development of the smart cities by implementing AI A. Stephen Sagayaraj, S.K. Kabilesh, T. Kalavathi Devi, Varun Chhabra Handbook of Artificial Intelligence for Smart City Development Management Systems and Technology Challenges, 2025 The future of smart cities is the pivot on the strategic methods that lend a hand for sustainable development. This chapter gives an outlook on the social and economic confrontation reconciled by the smart cities. These strategies would increase the implementation of advanced technologies which could avoid various challenges that smart cities face in the present scenario. The implementation of AI (artificial intelligence) in sustainable development of smart cities will help one to improve the living habitats of citizens, providing more employees for economic development, social and community services, public services, easy accessibility to address climatic changes and to satisfy the economic policies. The implementation of AI also helps the authorities to access data easily and town planning more effectively by sharing and managing the data. This chapter also portrays an in-depth study on framework of the strategies, strength and the time taken, qualitative methodology and systematic review of the literature for the development of the smart cities. It fosters guidance that facilitates the smart cities to achieve the vision of sustainable development through incorporating higher level strategies.
Smart Covid-19 detection using intelligent computational techniques D. Mohanapriya, S K. Kabilesh, J. Nandhini, M. Karpagam, K. Saranya, K. Sumathi Aip Conference Proceedings, 2024 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation D. Mohanapriya, S K. Kabilesh, J. Nandhini, M. Karpagam, K. Saranya, K. Sumathi; Smart Covid-19 detection using intelligent computational techniques. AIP Conf. Proc. 7 May 2024; 2853 (1): 020255. https://doi.org/10.1063/5.0197467 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Strategies for the Sustainable Development of the Smart Cities by Implementing AI A. Stephen Sagayaraj, S.K. Kabilesh, T. Kalavathi Devi, Varun Chhabra Handbook of Artificial Intelligence for Smart City Development Management Systems and Technology Challenges, 2024 The future of smart cities is the pivot on the strategic methods that lend a hand for sustainable development. This chapter gives an outlook on the social and economic confrontation reconciled by the smart cities. These strategies would increase the implementation of advanced technologies which could avoid various challenges that smart cities face in the present scenario. The implementation of AI (artificial intelligence) in sustainable development of smart cities will help one to improve the living habitats of citizens, providing more employees for economic development, social and community services, public services, easy accessibility to address climatic changes and to satisfy the economic policies. The implementation of AI also helps the authorities to access data easily and town planning more effectively by sharing and managing the data. This chapter also portrays an in-depth study on framework of the strategies, strength and the time taken, qualitative methodology and systematic review of the literature for the development of the smart cities. It fosters guidance that facilitates the smart cities to achieve the vision of sustainable development through incorporating higher level strategies.
Retinal Disease Diagnosis Using Machine Learning Techniques Applied Intelligence for Medical Image Analysis, 2024
RETRACTION:Research on Artificial Intelligence based Fruit Disease Identification System (AI-FDIS) with the Internet of Things (IoT) S.K. Kabilesh, D. Mohanapriya, P. Suseendhar, J. Indra, T. Gunasekar, N. Senthilvel Journal of Intelligent and Fuzzy Systems, 2023 Monitoring fruit quality, volume, and development on the plantation are critical to ensuring that the fruits are harvested at the optimal time. Fruits are more susceptible to the disease while they are actively growing. It is possible to safeguard and enhance agricultural productivity by early detection of fruit diseases. A huge farm makes it tough to inspect each tree to learn about its fruit personally. There are several applications for image processing with the Internet of Things (IoT) in various fields. To safeguard the fruit trees from illness and weather conditions, it is difficult for the farmers and their workers to regularly examine these large areas. With the advent of Precision Farming, a new way of thinking about agriculture has emerged, incorporating cutting-edge technological innovations. One of the modern farmers’ biggest challenges is detecting fruit diseases in their early stages. If infections aren’t identified in time, farmers might see a drop in income. Hence this paper is about an Artificial Intelligence Based Fruit Disease Identification System (AI-FDIS) with a drone system featuring a high-accuracy camera, substantial computing capability, and connectivity for precision farming. As a result, it is possible to monitor large agricultural areas precisely, identify diseased plants, and decide on the chemical to spray and the precise dosage to use. It is connected to a cloud server that receives images and generates information from these images, including crop production projections. The farm base can interface with the system with a user-friendly Human-Robot Interface (HRI). It is possible to handle a vast area of farmland daily using this method. The agricultural drone is used to reduce environmental impact and boost crop productivity.
IoT-Enabled Smart Helmet for Site Workers D. Mohanapriya, S. K. Kabilesh, J. Nandhini, A. Stephen Sagayaraj, G. Kalaiarasi, B. Saritha Lecture Notes in Networks and Systems, 2022
Diabetes Mellitus and Diabetic Retinopathy Detection using Tongue Images A. Stephen Sagayaraj, S K Kabilesh, A. Anand Kumar, S. Gokulnath, T. Mani, K Dinakaran Journal of Physics Conference Series, 2021 Abstract Diabetes Mellitus is a metabolic disorder caused by increasing blood sugar level. This includes invasive test to detect and diagnose. The image processing technology is introduced to diagnose through non-invasive method. Color, texture and geometry features are extracted. Color gamut is extracted to isolate the same kind of features. The color feature is represented from the extracted gamut. The feature based on distances, height, surface area, width are extracted. The SVM classifiers is used to differentiate the diabetes mellitus affected person and healthy person.
Strategies for the sustainable development of the smart cities by implementing AI AS Sagayaraj, SK Kabilesh, TK Devi, V Chhabra Handbook of Artificial Intelligence for Smart City Development, 172-190 , 2025 2025 Citations: 2
LoRawan based smart transformer monitoring and control using machine learning for predictive maintenance kabilesh.s. k advancement of signal processing and it's applications 8 (1) , 2025 2025
Recognition of bronchogenic carecinoma using computed tomography images SK Kabilesh, D Mohanapriya, G Gopinathan, K Eswaran, P Prabhu AIP Conference Proceedings 2965 (1), 020002 , 2024 2024
Retinal Disease Diagnosis Using Machine Learning Techniques G Kalaiarasi, B Saritha, SK Kabilesh, D Mohanapriya Applied Intelligence for Medical Image Analysis, 147-159 , 2024 2024
Smart Covid-19 detection using intelligent computational techniques D Mohanapriya, SK Kabilesh, J Nandhini, M Karpagam, K Saranya, ... AIP Conference Proceedings 2853 (1), 020255 , 2024 2024
Machine Learning Based Citrus Fruit Disease Prediction Using Support Vector Machine Algorithm D Mohanapriya, SK Kabilesh, R Swaranambigai, B Saritha, ... International Conference on Emerging Electronics and Automation, 171-182 , 2023 2023 Citations: 1
RETRACTED: Research on Artificial Intelligence based Fruit Disease Identification System (AI-FDIS) with the Internet of Things (IoT) SK Kabilesh, D Mohanapriya, P Suseendhar, J Indra, T Gunasekar, ... Journal of Intelligent & Fuzzy Systems 44 (4), 6593-6608 , 2023 2023 Citations: 11
IoT-enabled smart helmet for site workers D Mohanapriya, SK Kabilesh, J Nandhini, A Stephen Sagayaraj, ... Intelligent Sustainable Systems: Proceedings of ICISS 2022, 505-515 , 2022 2022 Citations: 5
ULTRASONIC SENSOR BASED RADIO DETECTION AND RANGING International Journal of Engineering Applied Sciences and Technology, 2022 6 … , 2022 2022
Diabetes mellitus and diabetic retinopathy detection using tongue images A Stephen Sagayaraj, SK Kabilesh, A Anand Kumar, S Gokulnath, T Mani, ... Journal of Physics: Conference Series 1831 (1), 012028 , 2021 2021 Citations: 11
Determination of soil moisture content using image processing-a survey AS Sagayaraj, SK Kabilesh, D Mohanapriya, A Anandkumar 2021 6th International Conference on Inventive Computation Technologies … , 2021 2021 Citations: 15
Determination of Soil Moisture Content using Image Processing-A Survey S Stephen, SK Kabilesh, D Mohanapriya, A Anandkumar 2021 6th International Conference on Inventive Computation Technologies (ICICT) , 2021 2021 Citations: 2
Self-Regulated Anaesthesia Feeder for Surgical Patients RP S. K. Kabilesh, K. C. Sivashree, S. Sumathiiswarya, G. Narmathadevi Research and Applications: Embedded System 4 (3) , 2021 2021 Citations: 3
Advanced lane detection technique for structural highway based on computer vision algorithm K Dinakaran, AS Sagayaraj, SK Kabilesh, T Mani, A Anandkumar, ... Materials Today: Proceedings 45, 2073-2081 , 2021 2021 Citations: 25
Screening of Tuberculosis Using Artificial Neural Network AA Kumar, T Mani, S Gokulnath, SK Kabilesh, K Dinakaran, AS Sagayaraj International Journal of Research in Engineering, Science and Management 3 … , 2020 2020 Citations: 4
Resemblance of Real Time Scheduling Algorithms for Real Time Embedded Systems SK Kabilesh, A Stephensagayaraj, A Anandkumar, K Dinakaran, T Mani, ... Journal of Optoelectronics and Communication 2 (3) , 2020 2020 Citations: 3
HANDY SANITIZER DISPENSER WITH SOCIAL DISTANCING ALERT DEVICE DPBDDKSDJBMMKMRPDKKDBRMRMKDMSKKDSBRDKSJMRB Diwate IN Patent App. 202,041,045,227 , 2020 2020
Medical Image Counterfeit Detection for Smart Healthcare SK Kabilesh, K Revathi, K Sabitha, N Sujithkumar Journal of Sensor Research and Technologies 2 (2) , 2020 2020 Citations: 6
Finger Vein Recognition Algorithms for Security Application SK Kabilesh, saravanan subramanian International Journal of Emerging Technology and Advanced Engineering 8 (4 … , 2018 2018
CURRENT STEERING BASED SIXTEEN BIT DIGITAL TO ANALOG CONVERTER USING 8T OPERATIONAL AMPLIFIER SK KABILESH International Journal of Advanced Research in Electronics and Communication … , 2016 2016
MOST CITED SCHOLAR PUBLICATIONS
Advanced lane detection technique for structural highway based on computer vision algorithm K Dinakaran, AS Sagayaraj, SK Kabilesh, T Mani, A Anandkumar, ... Materials Today: Proceedings 45, 2073-2081 , 2021 2021.0 Citations: 25
Determination of soil moisture content using image processing-a survey AS Sagayaraj, SK Kabilesh, D Mohanapriya, A Anandkumar 2021 6th International Conference on Inventive Computation Technologies … , 2021 2021.0 Citations: 15
RETRACTED: Research on Artificial Intelligence based Fruit Disease Identification System (AI-FDIS) with the Internet of Things (IoT) SK Kabilesh, D Mohanapriya, P Suseendhar, J Indra, T Gunasekar, ... Journal of Intelligent & Fuzzy Systems 44 (4), 6593-6608 , 2023 2023.0 Citations: 11
Diabetes mellitus and diabetic retinopathy detection using tongue images A Stephen Sagayaraj, SK Kabilesh, A Anand Kumar, S Gokulnath, T Mani, ... Journal of Physics: Conference Series 1831 (1), 012028 , 2021 2021.0 Citations: 11
Medical Image Counterfeit Detection for Smart Healthcare SK Kabilesh, K Revathi, K Sabitha, N Sujithkumar Journal of Sensor Research and Technologies 2 (2) , 2020 2020.0 Citations: 6
IoT-enabled smart helmet for site workers D Mohanapriya, SK Kabilesh, J Nandhini, A Stephen Sagayaraj, ... Intelligent Sustainable Systems: Proceedings of ICISS 2022, 505-515 , 2022 2022.0 Citations: 5
DESIGN AND SIMULATION OF MODOFIED SELECTIVE XOR ALGORITHM FOR PAYLOAD ATTRITION IN CAN BV S.K.KABILESH INTERNRENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMSATIONAL CONFE, 6 , 0 Citations: 5
Screening of Tuberculosis Using Artificial Neural Network AA Kumar, T Mani, S Gokulnath, SK Kabilesh, K Dinakaran, AS Sagayaraj International Journal of Research in Engineering, Science and Management 3 … , 2020 2020.0 Citations: 4
Self-Regulated Anaesthesia Feeder for Surgical Patients RP S. K. Kabilesh, K. C. Sivashree, S. Sumathiiswarya, G. Narmathadevi Research and Applications: Embedded System 4 (3) , 2021 2021.0 Citations: 3
Resemblance of Real Time Scheduling Algorithms for Real Time Embedded Systems SK Kabilesh, A Stephensagayaraj, A Anandkumar, K Dinakaran, T Mani, ... Journal of Optoelectronics and Communication 2 (3) , 2020 2020.0 Citations: 3
Strategies for the sustainable development of the smart cities by implementing AI AS Sagayaraj, SK Kabilesh, TK Devi, V Chhabra Handbook of Artificial Intelligence for Smart City Development, 172-190 , 2025 2025.0 Citations: 2
Determination of Soil Moisture Content using Image Processing-A Survey S Stephen, SK Kabilesh, D Mohanapriya, A Anandkumar 2021 6th International Conference on Inventive Computation Technologies (ICICT) , 2021 2021.0 Citations: 2
Machine Learning Based Citrus Fruit Disease Prediction Using Support Vector Machine Algorithm D Mohanapriya, SK Kabilesh, R Swaranambigai, B Saritha, ... International Conference on Emerging Electronics and Automation, 171-182 , 2023 2023.0 Citations: 1
LoRawan based smart transformer monitoring and control using machine learning for predictive maintenance kabilesh.s. k advancement of signal processing and it's applications 8 (1) , 2025 2025.0
Recognition of bronchogenic carecinoma using computed tomography images SK Kabilesh, D Mohanapriya, G Gopinathan, K Eswaran, P Prabhu AIP Conference Proceedings 2965 (1), 020002 , 2024 2024.0
Retinal Disease Diagnosis Using Machine Learning Techniques G Kalaiarasi, B Saritha, SK Kabilesh, D Mohanapriya Applied Intelligence for Medical Image Analysis, 147-159 , 2024 2024.0
Smart Covid-19 detection using intelligent computational techniques D Mohanapriya, SK Kabilesh, J Nandhini, M Karpagam, K Saranya, ... AIP Conference Proceedings 2853 (1), 020255 , 2024 2024.0
ULTRASONIC SENSOR BASED RADIO DETECTION AND RANGING International Journal of Engineering Applied Sciences and Technology, 2022 6 … , 2022 2022.0
HANDY SANITIZER DISPENSER WITH SOCIAL DISTANCING ALERT DEVICE DPBDDKSDJBMMKMRPDKKDBRMRMKDMSKKDSBRDKSJMRB Diwate IN Patent App. 202,041,045,227 , 2020 2020.0
Finger Vein Recognition Algorithms for Security Application SK Kabilesh, saravanan subramanian International Journal of Emerging Technology and Advanced Engineering 8 (4 … , 2018 2018.0
