Yogadinesh S

@sethu.ac.in

Assistant professor/ Department of computer Science and Engineering (Artificial intelligence and Machine learning)
Sethu Institute of Technology

Yogadinesh S


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https://researchid.co/yogadinesh

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Computer Networks and Communications, Multidisciplinary
1

Scopus Publications

237

Scholar Citations

8

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Forest fire management using machine learning techniques
    Harishchander Anandaram, Nagalakshmi M, Ricardo Fernando Cosio Borda, Kiruthika K, Yogadinesh S
    Measurement Sensors, 2023
    As per the latest survey produced by the Forest Survey, the forest cover is 19.27% of the geographic area. According to this report every country can meet the human needs of 16% of the world’s population from the 1% of the world’s forest resource. The Forest Survey said that 90% of the forest fires created by humans. They pose a threat not only to the forest wealth but also this leads to the main threat to biodiversity, a change in the ecosystem. The environment gets dry and twinges, which leads to produce flames in the forest. There are two types of forest fire i) Surface Fire and ii) Crown Fire iii) Ground Fire. Surface Fire: The forest fire starts its flame primarily as a surface fire, spreading along the ground with the help of dry grasses and so on. Crown Fire: It starts flame on the crown of the shrubs, bushes and trees and sustained on the surface. This type of fire is very dangerous because resinous material given off burning logs burn furiously. If there is a slope with fire then the fire spread from the top of the slope to the down. Ground fire occurs in the humus and peaty layers beneath the litter of under composed portion of forest floor with intense heat but practically no flame. Such fires are relatively rare and have been recorded occasionally at high altitudes in Himalayan fir and spruce forests. In Remote sensing field, the knowledge of surface temperature plays a vital role. By using brightness and emissivity feature, temperature mapping and analysis can be done. The surface temperature values are measured to detect the forest fire from the ASTER image. ASTER stands for Advanced Space borne Thermal Emission and Reflection Radiometer. ASTER image contains 5 thermal bands (wave length ranges from 8.125 μm to 11.65 μm) and these are used in comparison. To convert digital numbers to exoatmospheric radiance, ASTER thermal bands are used. The converted exoatmospheric radiance is then mapped into surface radiance using the Emissivity Normalization method.

RECENT SCHOLAR PUBLICATIONS

  • Integrated 5G and Edge Computing Framework for Low-Latency IoT Applications
    P Ashok, AP Bharati, S Velpula, KM Krishna, SL Sridevi, S Patchala, ...
    Cloud Computing's Transformative Power in Computing Environments, 307-332 , 2026
    2026
  • Deep Learning-Based Real-Time Fish Counting with YOLOv8 and Image Enhancement for Sustainable Aquaculture
    C Thyagarajan, S Yogadinesh, M Krishnamoorthy, AA Raj, N Yugander, ...
    2025 2nd International Conference on Computing and Data Science (ICCDS), 1-6 , 2025
    2025
  • Quantum Computing with Chip‐Scale Devices
    P Mallika, P Ashok, N Sathishkumar, H Anandaram, NA Natraj, S Patchala
    Quantum Optics Devices on a Chip, 133-158 , 2025
    2025
  • Analyzing the theoretical merits of Loxi load balancer for improving the efficiency of load balancing in 5G‐edge IoT applications based on Kubernetes
    R Vijayakumar, M Mali, SA Patil, V Gomathy, H Anandaram
    Internet Technology Letters 8 (3), e563 , 2025
    2025
  • Fire Classification and Detection Using a CNN-YOLO Hybrid Model for Early Warning Systems
    FC Gozo, JFV Oraño, JA Olaybar, R Bautista
    2025 IEEE Open Conference of Electrical, Electronic and Information Sciences … , 2025
    2025
  • Quantum Computing in Industry: Unveiling Applications and Opportunities
    NA Natraj, B Sundaravadivazhagan, R Sarathkumar, H Anandaram, ...
    Quantum Computing and Artificial Intelligence: The Industry Use Cases, 305-330 , 2025
    2025
    Citations: 1
  • Segmentation of Skin Lesions from Medical Images Using a Fusion of CNN and RNN Models
    L Singh, MR Kothawade, N Goyal, RP Devi, H Anandaram, R Singh
    2025 3rd International Conference on Disruptive Technologies (ICDT), 333-338 , 2025
    2025
  • Multi-Class Brain Tumor Detection Using CNN-Based Medical Imaging Analysis
    L Singh, AH Wani, A Nagasri, A Banerjee, H Anandaram, B Singh
    2025 3rd International Conference on Disruptive Technologies (ICDT), 339-344 , 2025
    2025
    Citations: 3
  • Design and Optimization of Rectangle shaped Biosensor for Hemoglobin Detection with Behavior Prediction in THz Regime
    G Dhandapani, S KS, H Anandaram, E P
    ECS Journal of Solid State Science and Technology 14 (3), 037005 , 2025
    2025
  • An Automatic Simulation of MRI using Adaptive Unsupervised Mapping
    K Kumar, I Suwalka, H Anandaram, K Joshi
    Biomedical and Pharmacology Journal 18 (March Spl Edition), 73-83 , 2025
    2025
  • Enhancing food quality monitoring processes through innovative microcontroller-based systems
    S Chandra, KS Shreenidhi, H Anandaram, KP Kshirsagar, ...
    Edible electronics for smart technology solutions, 49-78 , 2025
    2025
    Citations: 1
  • Sustainable Development in Wearable Internet of Medical Things: Addressing Environmental Impact, Energy Efficiency, and Lifecycle Management
    DM Kumar, KS Shreenidhi, H Anandaram, G Krishna, BS Hari
    Navigating Usability and User Experience in a Multi-Platform World, 85-116 , 2025
    2025
    Citations: 1
  • Utilization of Biodegradable Sustainable Materials in Modern Construction Processes
    M Nithya, DP Kumar, KS Shreenidhi, H Anandaram, G Arumugam
    Innovations in Energy Efficient Construction Through Sustainable Materials … , 2025
    2025
    Citations: 3
  • Analysis of the Human Brain Using Basic Computer Interface (BCI) System
    H Anandaram, KS Sidhu, R Kiruthigha, N Pathak, A Sudhakar, N Sharma, ...
    Neural Network Technologies and Brain-Computer Interfaces: Innovations and … , 2025
    2025
  • Examining How Safety Technologies Affect in Mental Wellness Healthcare Web of Device
    H Anandaram, KS Shreenidhi, K Joshi, J Ghayathri
    Exploiting Machine Learning for Robust Security, 263-274 , 2025
    2025
  • Advancements in Edible Electronics and Robotics for Smart Food Packaging Processes
    G Behera, KS Shreenidhi, H Anandaram, GDM Mani
    Edible Electronics for Smart Technology Solutions, 167-196 , 2025
    2025
    Citations: 2
  • Deep Study on Automated Adversarial Security Equipment to Machine Learning Technique
    H Anandaram, KS Shreenidhi, R Kiruthigha, K Joshi
    Exploiting Machine Learning for Robust Security, 99-118 , 2025
    2025
  • Redefining Sustainability in Building Practices in Circular Construction Process
    M Narra, M Vij, KS Shreenidhi, H Anandaram, BS Hari, S Boopathi
    Innovations in Energy Efficient Construction Through Sustainable Materials … , 2025
    2025
    Citations: 4
  • The Role of Computational Approaches in Additive Manufacturing for Medical Applications
    JN Nair, MS Annapoorna, P Madhu, KS Shreenidhi, H Anandaram
    Using Computational Intelligence for Sustainable Manufacturing of Advanced … , 2025
    2025
  • Sustainable Machining Process Optimization: Predictive Modeling With Multi-Objective Ant Colony Algorithms
    M Kumar, KS Shreenidhi, H Anandaram, S Velpula, R Gukendran
    Using Computational Intelligence for Sustainable Manufacturing of Advanced … , 2025
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • Forest fire management using machine learning techniques
    H Anandaram, M Nagalakshmi, RFC Borda, K Kiruthika, S Yogadinesh
    Measurement: Sensors 25, 100659 , 2023
    2023
    Citations: 19
  • Certain investigation of identify the new rules and accuracy using SVM algorithm
    S Yogadinesh, S Oswalt Manoj, K Srihari, S Rajesh, N Devendran, ...
    Middle-East Journal of Scientific Research 23 (9), 2074-2080 , 2015
    2015
    Citations: 12
  • Smart Dam Water Monitoring using Enabled Internet of Things
    K Joshi, V Singh, P Awasthi, H Anandaram, KS Sidhu, P Kumar
    2024 5th International Conference on Data Intelligence and Cognitive … , 2024
    2024
    Citations: 11
  • Valorization of hazardous materials along with biomass for green energy generation and environmental sustainability through pyrolysis
    S Chhabria, AV Raghavendra Rao, V Naga Lakshmi, PP Patil, ...
    Journal of Chemistry 2022 (1), 2215883 , 2022
    2022
    Citations: 11
  • Transforming Hospitality, Personalized Medicine, and Adaptive Learning: Robotic Innovations
    E Saranya, KS Shreenidhi, H Anandaram, S Upadhye, R Gukendran
    AI-Powered Advances in Pharmacology, 373-406 , 2025
    2025
    Citations: 9
  • CFD analysis of the influence of distinct thermal enhancement techniques on the efficiency of double pass solar air heater (DP-SAH)
    S Kumar, U Kumar, S Chandini, S Chand, TL Kishore, H Anandaram, ...
    Materials Today: Proceedings , 2023
    2023
    Citations: 9
  • Boosting anomaly detection in financial transactions: leveraging deep learning with isolation forest for enhanced accuracy
    PK Bansal, D Nimma, NN Das, BVNP Paruchuri, H Anandaram, M Karthik
    2024 International Conference on Artificial Intelligence and Quantum … , 2024
    2024
    Citations: 8
  • AI Technological Interference in Court Proceedings: Right to Fair Trial Decision
    S Kumar, K Joshi, S Singh, H Anandaram, KS Sindhu, SK Mahariya, ...
    2023 3rd International Conference on Advancement in Electronics … , 2023
    2023
    Citations: 8
  • Green synthesis of titanium dioxide nanoparticles and their multifaceted applications
    N Maheshna, D Roopa, R Karthick, H Anandaram, JP Antony, ...
    International Journal of Health Sciences, 5665-5680 , 2022
    2022
    Citations: 8
  • An internet of things enabled framework to monitor the lifecycle of Cordyceps sinensis mushrooms
    M Memoria, SK Shah, H Anandaram, A Ali, K Joshi, P Verma, R Singh, ...
    International Journal of Electrical and Computer Engineering 13 (1), 1142 , 2023
    2023
    Citations: 7
  • Quantum density functional theory studies on additive hydration of tuftsin tetrapeptide
    B Yogeswari, KS Tamilselvan, S Thanikaikarasan, N Dayanand Lal, ...
    Journal of Nanomaterials 2022 (1), 2830708 , 2022
    2022
    Citations: 7
  • Harnessing AI for climate resilience: Opportunities and challenges in combating climate change
    P Ashok, KK Biswas, KS Shreenidhi, H Anandaram, G Karthikeyan, ...
    Text mining and sentiment analysis in climate change and environmental … , 2025
    2025
    Citations: 6
  • Stage-specific prognostic modeling for pancreatic cancer using convolutional neural networks
    J Singh, M Akurati, H Anandaram, C Balakrishna, R Al-Fatlawy, SA Ansari
    2024 International Conference on Artificial Intelligence and Emerging … , 2024
    2024
    Citations: 5
  • Internet of Things and Cloud Server-based Indoor Talking Plant
    P Pal, D Singh, R Kumar, R Balyan, A Gehlot, R Singh, H Anandaram, ...
    SSRG International Journal of Electrical and Electronics Engineering 10 (4 … , 2023
    2023
    Citations: 5
  • Mosquito type identification using convolution neural network
    VS Kumar, VV Prasad, K Kunaisa, MP Swain, H Anandaram, A Kumar
    2022 3rd International Conference on Smart Electronics and Communication … , 2022
    2022
    Citations: 5
  • Redefining Sustainability in Building Practices in Circular Construction Process
    M Narra, M Vij, KS Shreenidhi, H Anandaram, BS Hari, S Boopathi
    Innovations in Energy Efficient Construction Through Sustainable Materials … , 2025
    2025
    Citations: 4
  • Harnessing quantum computing for AI-driven medical advancements: a comprehensive study
    S Reshma, A Manoj, A Ratnaparkhi, KS Shreenidhi, H Anandaram
    Exploring the fusion of quantum computing and machine learning, 53-80 , 2025
    2025
    Citations: 4
  • Combating fake news in social media by enabling deep convolutional neural network-based detection and mitigation strategies
    G Sabera, J Manoranjini, M Aarif, VS Rao, H Anandaram
    2024 Third International Conference on Electrical, Electronics, Information … , 2024
    2024
    Citations: 4
  • Hand Gesture based AI Controller for Presentation, Virtual Drawing and System Volume Management
    A Kumar, R Pandey, K Alam, H Anandaram, K Joshi, S Chaudhary
    2024 5th International Conference on Image Processing and Capsule Networks … , 2024
    2024
    Citations: 4
  • Crop Health Monitoring for Precision Agriculture Using IoT-Based Sensors in Drones
    KK Nithiyanantham, K Venusamy, P Ashok, MJM Hussain, S Chitra, ...
    The International Conference on Recent Innovations in Computing, 875-890 , 2023
    2023
    Citations: 4