Research & Publications

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SCI/SCIE

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Scopus

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Patent Published

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Scopus Citation
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Publons Citation
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Book

PUBLICATION DETAILS

PATENT PUBLISHED

  • S.Neelakandan “Safe Route Identification on emergency Evacuation Based on Ant-Colony Optimization Through Artificial Intelligence and IoT”(Patent No – 202041048243) Published on 13-11-2020.
  • S.Neelakandan “Medical Emergency Alert Scheme Through Wireless Sensor Network and the Cloud Computing at Populated Places”(Patent No – 202041009022) Published on 06- 03-2020.
  • S.Neelakandan “The Traffic Management System Based On Density and Flow Control Mechanism”(Patent No – 202041005119) Published on 14-02-2020.

TEXT BOOK

  • S.Neelakandan,R.Annamalai, S.Sudhamercy “ Problem Solving and Python Programming” 2017 Regulations - Charulatha Publication, November 2020.

INTERNATIONAL JOURNALS

  • D. K. Jain, S. K. K. Sah Tyagi, S. Neelakandan, M. Prakash and L. Natrayan, "Metaheuristic Optimization-based Resource Allocation Technique for Cybertwin-driven 6G on IoE Environment," in IEEE Transactions on Industrial Informatics,doi:10.1109/TII.2021.3138915,a>https://ieeexplore.ieee.org/document/9664249(SCI, Scopus indexed,Impact Factor – 10.25)
  • Neelakandan S, D. Paulraj, P. Ezhumalai & M. Prakash (2022) A Deep Learning Modified Neural Network(DLMNN) based proficient sentiment analysis technique on Twitter data, Journal of Experimental & Theoretical Artificial Intelligence, DOI: 10.1080/0952813X.2022.2093405(SCI,Scopus indexed, Impact Factor – 2.3)
  • Deepak Kumar Jain, Xue Liu, Subramani Neelakandan, and Mohan Prakash "Modeling of human action recognition using hyperparameter tuned deep learning model," Journal of Electronic Imaging 32(1), 011211 (14 September 2022). https://doi.org/10.1117/1.JEI.32.1.011211(SCI, Scopus indexed, Impact Factor – 1.1)
  • S. Neelakandan, Ahmed Mohammed Metwally, Madhappan Santhamoorthy, M. Satyanarayana Gupta, Metaheuristics with Deep Transfer Learning Enabled Detection and classification model for industrial waste management, Chemosphere,2022,136046,https://doi.org/10.1016/j.chemosphere.2022.136046(SCI,Scopus indexed, Impact Factor – 8.9)
  • Neelakandan S, Perumal SK, Kallimani JS, Ulaganathan S, Bhargava S, Meckanizi S. Controlling energy aware clustering and multihop routing protocol for IoT assisted wireless sensor networks. Concurrency Computat Pract Exper. 2022;e7106. doi: 10.1002/cpe.710 ,(SCI & Scopus Indexed, Impact Factor-1.56)
  • Neelakandan S, Sridevi M, Saravanan Chandrasekaran, Murugeswari, Bheema Lingaiah, "Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media", Computational Intelligence and Neuroscience, vol. 2022, 2022. https://doi.org/10.1155/2022/2163458( SCI,&Scopus Indexed, Impact Factor – 3.1)
  • Deepak Kumar Jain, S. Neelakandan, T. Veeramani, Surbhi Bhatia, Fida Hussain Memon, Design of fuzzy logic-based energy management and traffic predictive model for cyber physical systems,Computers and Electrical Engineering,Vol.102,2022,108135,https://doi.org/10.1016/j.compeleceng.2022.108135( SCI,&Scopus Indexed, Impact Factor – 4.1)
  • Lakshmanna, K.; Subramani, N.; Alotaibi, Y.; Alghamdi, S.; Khalafand, O.I.; Nanda, A.K. Improved Metaheuristic-Driven Energy-Aware Cluster-Based Routing Scheme for IoT-Assisted Wireless Sensor Networks. Sustainability 2022, 14, 7712. https://doi.org/10.3390/su14137712(SCI,&Scopus Indexed,Impact Factor – 3.8)
  • A. Harshavardhan, Prasanthi Boyapati, S. Neelakandan, Alhassan Alolo Abdul-Rasheed Akeji, Aditya Kumar Singh Pundir, Ranjan Walia, "LSGDM with Biogeography-Based Optimization (BBO) Model for Healthcare Applications", Journal of Healthcare Engineering, vol. 2022, Article ID 2170839, 11.pages, 2022.https://doi.org/10.1155/2022/2170839,(SCI & Scopus Indexed, Impact Factor-2.62)
  • S.Raghavendar,A.Hardhavardhan,S.Neelakandan,R.Partheepan,Ranjan Walia and V.Chandra Shekar Rao,Multilayer Stacked Probabilistic Belief Network-Based Brain Tumor Segmentation and Classification "International Journal of Foundations of Computer Science”,https://doi.org/10.1142/S0129054122420047,(SCI & Scopus Indexed, Impact Factor-0.41)
  • Anuradha, D.; Subramani,N.; Khalaf, O.I.; Alotaibi, Y.; Alghamdi, S.; Rajagopal, M. Chaotic Search-and-Rescue-Optimization-Based Multi-Hop Data Transmission Protocol for Underwater Wireless Sensor Networks. Sensors 2022, 22, 2867.https://doi.org/10.3390/s22082867,(SCI,Scopus Indexed, Impact Factor-3.57)
  • B.T. Geetha, P. Santhosh Kumar, B. Sathya Bama, S. Neelakandan, Chiranjit Dutta, D. Vijendra Babu,Green energy aware and cluster-based communication for future load prediction in IoT,Sustainable Energy Technologies and Assessments,vol.52,2022,102244,https://doi.org/10.1016/j.seta.2022.102244,(SCI,Scopus Indexed, Impact Factor-3.57)
  • Subramani, Neelakandan, Prakash Mohan, Youseef Alotaibi, Saleh Alghamdi, and Osamah I. Khalaf. 2022."An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks" Sensors 22, no. 2: 415.https://doi.org/10.3390/s22020415,(SCI,Scopus Indexed, Impact Factor-3.57)
  • Subramani, Neelakandan.; Alotaibi, Y.; Alghamdi, S.; Khalaf, O.I.; Ulaganathan, S. Improved Metaheuristics-Based Clustering with Multihop Routing Protocol for Underwater Wireless Sensor Networks. Sensors 2022, 22, 1618. https://doi.org/10.3390/s22041618,(SCI, WoS & Scopus Indexed, Impact Factor-3.57)
  • Gurram Sunitha, K. Geetha, S. Neelakandan, Aditya Kumar Singh Pundir, S. Hemalatha, Vinay Kumar, Intelligent deep learning based ethnicity recognition and classification using facial images,Image and Vision Computing,Volume 121,2022,https://doi.org/10.1016/j.imavis.2022.104404.,(SCI, WoS & Scopus Indexed, Impact Factor-2.12)
  • Neelakandan, S & Paulraj, D 2020, ‘A gradient boosted decision tree-based sentiment classification of twitter data’, International Journal of Wavelets, Multiresolution and Information Processing, World Scientific, ISSN 1793-690X (online), vol. 18, no. 4, pp. 205027 1-21.DOI: https://doi. org/10.1142/ S0219691320500277,(SCI, WoS & Scopus Indexed, Impact Factor-1.40)
  • Neelakandan, S & Paulraj, D 2020, ‘An Automated Exploring And Learning Model For Data Prediction Using Balanced CA-Svm’, Journal of Ambient Intelligence and Humanized Computing, Springer, pp. 1-12, ISSN 1868-5137 (online), Published Online: April 2020 DOI: https://doi. org/10.1007/ s12652-020-01937-9,(SCI, WoS & Scopus Indexed, Impact Factor-7.10)
  • Neelakandan.S,Berlin,Sandesh Tripathi,Brindha Devi,Indu Bhardwaj and Arulkumar.N, "IoT Based Traffic Prediction And Traffic Signal Control System For Smart City", Soft Computing, (SCI, WoS & Scopus Indexed, Impact Factor-3.64)
  • Kamalraj.R, S.Neelakandan, M.Ranjithkumar, Chandra Sekhar Rao,R.Rohit Anand, Harinder Singh, "Interpretable Filter Based Convolutional Neural Network (IF-CNN) For Glucose Prediction And Classification Using PD-SS Algorithm".Measurement,(SCI, WoS & Scopus Indexed, Impact Factor-3.92)
  • Neelakandan, S., Arun, A., Bhukya, R. R., Hardas, B. M., Ch., T. et al. (2022). An Automated Word Embedding with Parameter Tuned Model for Web Crawling. Intelligent Automation & Soft Computing, 32(3), 1617–1632,(SCIE, Scopus indexed, Impact Factor – 1.6)
  • D. Venu, A.V.R. Mayuri, S. Neelakandan, G.L.N. Murthy, N. Arulkumar, Nilesh Shelke, An efficient low complexity compression based optimal homomorphic encryption for secure fiber optic communication, Optik, Vol 252,2022,pp.168545,https://doi.org/10.1016/j.ijleo.2021.168545, (SCI, Scopus indexed, Impact Factor –2.4)
  • Kavitha, T., Mathai, P.P., Karthikeyan, C. et al. Deep Learning Based Capsule Neural Network Model for Breast Cancer Diagnosis Using Mammogram Images. Interdiscip Sci Comput Life Sci (2021). https://doi.org/10.1007/s12539-021-00467-y , (SCI, Scopus indexed, Impact Factor – 2.23)
  • Harinder Singh, D. Ramya, R. Saravanakumar, Nayani Sateesh, Rohit Anand, Swarnjit Singh, S. Neelakandan, Artificial intelligence based quality of transmission predictive model for cognitive optical networks, Optik, Vol. 257, 2022,https://doi.org/10.1016/j.ijleo.2022.168789, (SCI, Scopus indexed, Impact Factor – 2.23)
  • G. Reshma,Chiai Al-Atroshi, Vinay Kumar Nassa, B. T. Geetha, Gurram Sunitha, Mohammad Gouse Galety, S.Neelakandan , "An Intelligent Multilevel-Thresholding with Deep Learning Based Skin Lesion Diagnosis Model using Dermoscopic Images" , Intelligent Automation & Soft Computing,(SCIE,& Scopus Indexed, Impact Factor-1.64)
  • C.Pretty Diana Cyril, J.Rene Beulah, S.Neelakandan, Harshavardhan, Dr.D.Sivabalaselvamani "An Automated Learning Model For Sentiment Analysis And Data Classification Of Twitter Data Using Balanced CA‑SVM" , Concurrent Engineering Research & Application, ( SCI,& Scopus Indexed, Impact Factor – 1.42)
  • P. Asha, L. Natrayan, B.T. Geetha, J. Rene Beulah, R. Sumathy, G. Varalakshmi, S. Neelakandan, IoT enabled environmental toxicology for air pollution monitoring using AI techniques, Environmental Research, Volume 205, 2022, 112574,( SCI,&Scopus Indexed, Impact Factor – 6.42)
  • M. Kavitha, B. Sankara Babu, B. Sumathy, T. Jackulin, N. Ramkumar ,Neelakandan.S, "Convolutional neural networks-based video reconstruction and computation in digital twins," Intelligent Automation & Soft Computing, vol. 34, no.3, pp. 1571–1586, 2022,( SCI,&Scopus Indexed, Impact Factor – 3.32)
  • S. Parthiban, A. Harshavardhan, S. Neelakandan, Vempaty Prashanthi, Abdul-Rasheed Akeji Alhassan Alolo, S. Velmurugan, "Chaotic Salp Swarm Optimization-Based Energy-Aware VMP Technique for Cloud Data Centers", Computational Intelligence and Neuroscience, vol. 2022, Article ID 4343476, 9 pages, 2022. https://doi.org/10.1155/2022/4343476( SCI,&Scopus Indexed, Impact Factor – 3.1)
  • Keshetti Sreekala, C. Pretty Diana Cyril, S. Neelakandan, Saravanan Chandrasekaran, Ranjan Walia, Eric Ofori Martinson, "Capsule Network-Based Deep Transfer Learning Model for Face Recognition", Wireless Communications and Mobile Computing, vol. 2022, https://doi.org/10.1155/2022/2086613( SCI,&Scopus Indexed, Impact Factor – 2.1)
  • S.Raghavendar,A.Hardhavardhan,S.Neelakandan,R.Partheepan,Ranjan Walia and V.Chandra Shekar Rao, Multilayer Stacked Probabilistic Belief Network-Based Brain Tumor Segmentation and Classification “International Journal of Foundations of Computer Science”, https://doi.org/10.1142/S0129054122420047( SCI,&Scopus Indexed, Impact Factor – 1.2)
  • J. Faritha Banu, S. Neelakandan, B.T Geetha, V. Selvalakshmi, A. Umadevi, Eric Ofori Martinson, "Artificial Intelligence Based Customer Churn Prediction Model for Business Markets", Computational Intelligence and Neuroscience, vol. 2022, 2022. https://doi.org/10.1155/2022/1703696( SCI,&Scopus Indexed, Impact Factor – 3.1)
  • Awari, H., Subramani, N., Janagaraj, A., Balasubramaniapillai Thanammal, G., Thangarasu, J., & Kohar, R. (2022). Three-dimensional dental image segmentation and classification using deep learning with tunicate swarm algorithm. Expert Systems, e13198. https://doi.org/10.1111/exsy.13198( SCI,&Scopus Indexed, Impact Factor – 2.8)
  • Gangathimmappa, M, Subramani, N, Sambath, V, Ramanujam, RAM, Sammeta, M. Deep learning enabled cross-lingual search with metaheuristic web-based query optimization model for multi-document summarization. Concurrency Computation Practice Experience. 2022;e7476. doi:10.1002/cpe.7476 ( SCI,&Scopus Indexed, Impact Factor – 1.8)
  • Shanmugavadivel, K., Sathishkumar, V.E., Neelakandan.S. et al. Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data. Sci Rep 12, 21557 (2022). https://doi.org/10.1038/s41598-022-26092-3 ( SCI,&Scopus Indexed, Impact Factor – 4.9)
  • Mohan,P.; Veerappampalayam Easwaramoorthy, S.; Subramani, N.; Subramanian, M.; Meckanzi, S. Handcrafted Deep-Feature-Based Brain Tumor Detection and Classification Using MRI Images. Electronics 2022, 11, 4178. https://doi.org/10.3390/electronics11244178 ( SCI,&Scopus Indexed, Impact Factor – 2.6)
  • Arul Vinayakam Rajasimman M, Manoharan RK, Subramani N, Aridoss M, Galety MG. Robust Facial Expression Recognition Using An Evolutionary Algorithm with a Deep Learning Model. Applied Sciences. 2023; 13(1):468. https://doi.org/10.3390/app13010468 ( SCI,&Scopus Indexed, Impact Factor – 2.8)
  • Zhenwei Zhao, Xiaoming Li, Bing Luan, Weining Jiang, Weidong Gao, Subramani Neelakandan, Secure Internet of Things (IoT) using a Novel Brooks Iyengar Quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) Model in Smart Healthcare, Information Sciences, 2023,https://doi.org/10.1016/j.ins.2023.01.020 ( SCI,&Scopus Indexed, Impact Factor – 8.2)
  • Alharbi, M., Neelakandan, S., Gupta, S. et al. Mobility aware load balancing using Kho–Kho optimization algorithm for hybrid Li-Fi and Wi-Fi network. Wireless Networks (2023). https://doi.org/10.1007/s11276-022-03225-0 ( SCI,&Scopus Indexed, Impact Factor – 2.7)
  • Neelakandan Subramani, Abbas Mardani, Prakash Mohan, Arunodaya Raj Mishra, Ezhumalai P. A fuzzy logic and DEEC protocol-based clustering routing method for wireless sensor networks[J]. AIMS Mathematics, 2023, 8(4): 8310-8331. doi: 10.3934/math.2023419 ( SCI,&Scopus Indexed, Impact Factor – 2.7)
  • Saravanan, G., Neelakandan, S., Ezhumalai, P. et al. Improved wild horse optimization with levy flight algorithm for effective task scheduling in cloud computing. J Cloud Comp 12, 24 (2023). https://doi.org/10.1186/s13677-023-00401-1 ( SCI,&Scopus Indexed, Impact Factor – 3.8)
  • Subramani, N.; Veerappampalayam Easwaramoorthy, S.; Mohan, P.; Subramanian, M.; Sambath, V. A Gradient Boosted Decision Tree-Based Influencer Prediction in Social Network Analysis. Big Data Cogn. Comput. 2023, 7, 6. https://doi.org/10.3390/bdcc7010006 (Scopus & ESCI Indexed)
  • Sachin Upadhye, S. Neelakandan, K. Thangaraj, D. Vijendra Babu, N. Arulkumar, Kashif Qureshi,” Modeling of Real Time Traffic Flow Monitoring System Using Deep Learning and Unmanned Aerial Vehicles”, Journal of Mobile Multimedia,Vol.19,No.2,2023,doi.org/10.13052/jmm1550-4646.1926 (Scopus & ESCI Indexed)
  • S.Neelakandan, K Keerthika, P Ilanchezhian, TS Madeswaran ,Quantum Invasive Weed Optimization Based Energy Aware Task Scheduling For Cyber–Physical System Environment , International Journal of Modeling, Simulation, and Scientific Computing, https://doi.org/10.1142/S1793962323410167,(Scopus & ESCI Indexed)
  • P. Ravi Prakash, D. Anuradha, Javid Iqbal, Mohammad Gouse Galety, Ruby Singh & S. Neelakandan (2022) A novel convolutional neural network with gated recurrent unit for automated speech emotion recognition and classification, Journal of Control and Decision, DOI: 10.1080/23307706.2022.2085198(Scopus & WoS Indexed)
  • Neelakandan, S ,Social Media Network Owings to Disruptions for Effective Learning, Procedia Computer Science. vol. 172, no. 5, pp. 145-151, June 2020. DOI : https://doi.org/10.1016/j.procs.2020.05.022, (Scopus Indexed)
  • S.Neelakandan, J. Rene Beulah,L.Prathiba, G.L.N Murthy, E. Fantin Irudaya Raj and N. Arulkumar ,” Blockchain with deep learning-enabled secure healthcare data transmission and diagnostic model”, International Journal of Modeling, Simulation, and Scientific Computing, https://doi.org/10.1142/S1793962322410069,(Scopus & WoS Indexed)
  • S. Neelakandan, S., Prakash, M., Bhargava, S., Mohan, K., Robert, N.R., Upadhye, S. (2022). Optimal Stacked Sparse Autoencoder Based Traffic Flow Prediction in Intelligent Transportation Systems. In: Hassanien, A.E., Gupta, D., Khanna, A., Slowik, A. (eds) Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications. Studies in Systems, Decision and Control, vol 412. Springer, Cham. https://doi.org/10.1007/978-3-030-94102-4_6,(Scopus & WoS Indexed)
  • Itnal, S., Kannan, K.S., Suma, K.G., Neelakandan, S. (2022). A Secured Healthcare Medical System Using Blockchain Technology. In: Kumar, A., Mozar, S. (eds) ICCCE 2021. Lecture Notes in Electrical Engineering, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-16-7985-8_17(Scopus Indexed)
  • Siripuri Kiran, S. Neelakandan, A. Pratapa Reddy, Sonali Goyal, Balajee Maram, V. Chandra Shekhar Rao, Chapter 11 - Internet of things and wearables-enabled Alzheimer detection and classification model using stacked sparse autoencoder, Wearable Telemedicine Technology for the Healthcare Industry, Academic Press,2022, pp 153-168,https://doi.org/10.1016/B978-0-323-85854-0.00012-5,(Scopus & WoS Indexed)
  • Neelakandan, S “Large scale optimization to minimize network traffic using MapReduce in big data applications”. International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC), pp. 193-199, April 2016. DOI : 10.1109/ICCPEIC.2016.7557196, (Scopus Indexed)
  • S. Neelakandan and J. Gokul Anand, "Trust based optimal routing in MANET's," 2011 International Conference on Emerging Trends in Electrical and Computer Technology, Nagercoil, 2011, pp. 1150-1156, doi: 10.1109/ICETECT.2011.5760293,(Scopus Indexed)
  • Chiai AI-Atroshi, J. Rene Beulah, Kranthi Kumar Singamaneni, C. Pretty Diana Cyril, S. Neelakandan & S. Velmurugan (2022) Automated speech based evaluation of mild cognitive impairment and Alzheimer’s disease detection using with deep belief network model, International Journal of Healthcare Management, DOI: 10.1080/20479700.2022.2097764,(Scopus Indexed)
  • S.Neelakandan, S.Muthukumaran, R.Annamalai ” Implementing Campus Indoor location tracking system”, International Journal of Engineering and Computer Science, ISSN 2319 – 7242&Volume 4, Issue 8 ,Page no 13746-13753 ,DOI 10.18535/ijecs/v4i8.22, AUGUST 2015.(WoS)
  • Neelakandan, S & Paulraj, D 2020, ‘An Automated learning model of Conventional Neural Network based Sentiment Analysis on Twitter Data’, Journal of Computational and Theoretical Nano science. vol. 17, no. 5, pp. 2230-2236, May 2020. DOI : https://doi. org/10.1166/jctn. 2020.8876.
  • S.Neelakandan, T.Chindrella Priyadharshini, M.Swarnalatha, “An Efficient Cache Consistency Scheme in Mobile Networks” International Journal of Scientific & Engineering Research , Volume 5,Issue 5, March 2014, ISSN 2229-5518.
  • S.Neelakandan,S.Muthuvel,M.Dineshkumar”An Mining Approach For Detecting Unknown Malware Using N-Gram And Svm ”, International Journal of Advances in Natural and Applied Sciences,Volume 10, April 2016.
  • S.Neelakandan, E.S.Madhan” A Novel Approach for Vehicle Type Classification and Speed Prediction using Deep Learning” Journal of Computational and Theoretical Nanoscience, vol. 17, no. 5, May 2020.
  • S.Neelakandan,D.Paulraj,M.Dineshkumar” Decentralized Access Control Of Data In Cloud Services Using Key Policy Attribute Based Encryption”, International Journal for Scientific Research & Development , ISSN 2321 – 0613&Volume 3, Issue 2, APRIL 2015.
  • S.Neelakandan, R.Annamalai “Efficient Solution to the Waste Management Process using IOT for Smart Trash Can” Journal of Emerging Technologies and Innovative Research,Volume 5,Issue 6, June 2018.
  • S.Neelakandan, P.Robert,R.Karthikeyan” Content Adaptation for mobile devices based on composite capability & preference profile using proxy system“,CiiT International Journal of Fuzzy System , ISSN 0974 – 9721 & online : ISSN 0974 – 9608, FEB 2011.
  • S.Neelakandan,” Spray routing in mobile intermittent Networks “,CiiT International Journal of Wireless Communication, ISSN 0974 – 9756 & online : ISSN 0974 – 9640, MAY 2011.
  • S.Neelakandan,” An efficient Cache consistency scheme in Mobile Networks “,CiiT International Journal of Wireless Communication, ISSN 0974 – 9756 & online : ISSN 0974 – 9640, June 2011.
  • S.Neelakandan,” Efficient Multicasting in MANETs using RSGM Techniques “,CiiT International Journal of Wireless Communication, ISSN 0974 – 9756 & online : ISSN 0974 – 9640, APRIL 2011.