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A searchable record of ICResG research output — journal articles, conference papers, technical reports and more. Search by author, title, year, venue, DOI, research area or keyword.
292 publications found.
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Mandal, R., Mondal, M. K., Banerjee, S., Chakraborty, C., & Biswas, U. (2020). A survey and critical analysis on energy generation from datacenter. Data Deduplication Approaches Concepts Strategies and Challenges. https://doi.org/10.1016/B978-0-12-823395-5.00005-7
Mandal, R., Mondal, M.K., Banerjee, S., Chakraborty, C. and Biswas, U. (2020) 'A survey and critical analysis on energy generation from datacenter', Data Deduplication Approaches Concepts Strategies and Challenges. doi: 10.1016/B978-0-12-823395-5.00005-7.
R. Mandal, M. K. Mondal, S. Banerjee, C. Chakraborty, and U. Biswas, "A survey and critical analysis on energy generation from datacenter," Data Deduplication Approaches Concepts Strategies and Challenges, 2020. doi: 10.1016/B978-0-12-823395-5.00005-7.
Mandal R, Mondal MK, Banerjee S, Chakraborty C, Biswas U. A survey and critical analysis on energy generation from datacenter. Data Deduplication Approaches Concepts Strategies and Challenges. 2020. doi: 10.1016/B978-0-12-823395-5.00005-7.
Mandal, Riman, et al.. "A survey and critical analysis on energy generation from datacenter." Data Deduplication Approaches Concepts Strategies and Challenges, 2020. https://doi.org/10.1016/B978-0-12-823395-5.00005-7.
Mandal, R., Mondal, M. K., Banerjee, S., Chakraborty, C., Biswas, U.. "A survey and critical analysis on energy generation from datacenter." Data Deduplication Approaches Concepts Strategies and Challenges (2020). https://doi.org/10.1016/B978-0-12-823395-5.00005-7.
@book{mandal2020, title={A survey and critical analysis on energy generation from datacenter}, author={Mandal, Riman and Mondal, Manash Kumar and Banerjee, Sourav and Chakraborty, Chinmay and Biswas, Utpal}, journal={Data Deduplication Approaches Concepts Strategies and Challenges}, year={2020}, doi={10.1016/B978-0-12-823395-5.00005-7}, }
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Jayachandran, A., Namboodiri, T. S., Prabhu, L. A. J., & LAZER, A. (2020). Retinal image classification system using multi phase level set formulation and ANFIS. Advances in Intelligent Systems and Computing. https://doi.org/10.1007/978-3-030-37218-7_121
Jayachandran, A., Namboodiri, T.S., Prabhu, L.A.J. and LAZER, A. (2020) 'Retinal image classification system using multi phase level set formulation and ANFIS', Advances in Intelligent Systems and Computing. doi: 10.1007/978-3-030-37218-7_121.
A. Jayachandran, T. S. Namboodiri, L. A. J. Prabhu, and A. LAZER, "Retinal image classification system using multi phase level set formulation and ANFIS," Advances in Intelligent Systems and Computing, 2020. doi: 10.1007/978-3-030-37218-7_121.
Jayachandran A, Namboodiri TS, Prabhu LAJ, LAZER A. Retinal image classification system using multi phase level set formulation and ANFIS. Advances in Intelligent Systems and Computing. 2020. doi: 10.1007/978-3-030-37218-7_121.
Jayachandran, A., et al.. "Retinal image classification system using multi phase level set formulation and ANFIS." Advances in Intelligent Systems and Computing, 2020. https://doi.org/10.1007/978-3-030-37218-7_121.
Jayachandran, A., Namboodiri, T. S., Prabhu, L. A. J., LAZER, A.. "Retinal image classification system using multi phase level set formulation and ANFIS." Advances in Intelligent Systems and Computing (2020). https://doi.org/10.1007/978-3-030-37218-7_121.
@inproceedings{jayachandran2020, title={Retinal image classification system using multi phase level set formulation and ANFIS}, author={Jayachandran, A. and Namboodiri, T. Sreekesh and Prabhu, L. Arokia Jesu and LAZER, AROKIA}, booktitle={Advances in Intelligent Systems and Computing}, year={2020}, doi={10.1007/978-3-030-37218-7_121}, }
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Benisha, R., Ratna, S. R., L, A. J. P., & LAZER, A. (2020). Outlier application level based intrusion detection and prevention in wireless network. 2020 International Conference on Computer Communication and Informatics, ICCCI 2020. https://doi.org/10.1109/ICCCI48352.2020.9104182
Benisha, R., Ratna, S.R., L, A.J.P. and LAZER, A. (2020) 'Outlier application level based intrusion detection and prevention in wireless network', 2020 International Conference on Computer Communication and Informatics, ICCCI 2020. doi: 10.1109/ICCCI48352.2020.9104182.
R. Benisha, S. R. Ratna, A. J. P. L, and A. LAZER, "Outlier application level based intrusion detection and prevention in wireless network," 2020 International Conference on Computer Communication and Informatics, ICCCI 2020, 2020. doi: 10.1109/ICCCI48352.2020.9104182.
Benisha R, Ratna SR, L AJP, LAZER A. Outlier application level based intrusion detection and prevention in wireless network. 2020 International Conference on Computer Communication and Informatics, ICCCI 2020. 2020. doi: 10.1109/ICCCI48352.2020.9104182.
Benisha, R.B., et al.. "Outlier application level based intrusion detection and prevention in wireless network." 2020 International Conference on Computer Communication and Informatics, ICCCI 2020, 2020. https://doi.org/10.1109/ICCCI48352.2020.9104182.
Benisha, R., Ratna, S. R., L, A. J. P., LAZER, A.. "Outlier application level based intrusion detection and prevention in wireless network." 2020 International Conference on Computer Communication and Informatics, ICCCI 2020 (2020). https://doi.org/10.1109/ICCCI48352.2020.9104182.
@inproceedings{benisha2020, title={Outlier application level based intrusion detection and prevention in wireless network}, author={Benisha, R.B. and Ratna, S. Raja and L, Arokia Jesu Prabhu and LAZER, AROKIA}, booktitle={2020 International Conference on Computer Communication and Informatics, ICCCI 2020}, year={2020}, doi={10.1109/ICCCI48352.2020.9104182}, }
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Jayachandran, A., Andrews, J., Prabhu, L. A. J., & LAZER, A. (2020). Modified region growing for mri brain image classification system using deep learning convolutional neural networks. Lecture Notes on Data Engineering and Communications Technologies. https://doi.org/10.1007/978-3-030-38040-3_81
Jayachandran, A., Andrews, J., Prabhu, L.A.J. and LAZER, A. (2020) 'Modified region growing for mri brain image classification system using deep learning convolutional neural networks', Lecture Notes on Data Engineering and Communications Technologies. doi: 10.1007/978-3-030-38040-3_81.
A. Jayachandran, J. Andrews, L. A. J. Prabhu, and A. LAZER, "Modified region growing for mri brain image classification system using deep learning convolutional neural networks," Lecture Notes on Data Engineering and Communications Technologies, 2020. doi: 10.1007/978-3-030-38040-3_81.
Jayachandran A, Andrews J, Prabhu LAJ, LAZER A. Modified region growing for mri brain image classification system using deep learning convolutional neural networks. Lecture Notes on Data Engineering and Communications Technologies. 2020. doi: 10.1007/978-3-030-38040-3_81.
Jayachandran, A., et al.. "Modified region growing for mri brain image classification system using deep learning convolutional neural networks." Lecture Notes on Data Engineering and Communications Technologies, 2020. https://doi.org/10.1007/978-3-030-38040-3_81.
Jayachandran, A., Andrews, J., Prabhu, L. A. J., LAZER, A.. "Modified region growing for mri brain image classification system using deep learning convolutional neural networks." Lecture Notes on Data Engineering and Communications Technologies (2020). https://doi.org/10.1007/978-3-030-38040-3_81.
@book{jayachandran2020, title={Modified region growing for mri brain image classification system using deep learning convolutional neural networks}, author={Jayachandran, A. and Andrews, J. and Prabhu, L. Arokia Jesu and LAZER, AROKIA}, journal={Lecture Notes on Data Engineering and Communications Technologies}, year={2020}, doi={10.1007/978-3-030-38040-3_81}, }
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L, A. J. P., Sengan, S., K, K. G., J, V., Gopal, J., Velayutham, P., V, S., & LAZER, A. (2020). Medical information retrieval systems for e-Health care records using fuzzy based machine learning model. Microprocessors and Microsystems. https://doi.org/10.1016/j.micpro.2020.103344
L, A.J.P., Sengan, S., K, K.G., J, V., Gopal, J., Velayutham, P., V, S. and LAZER, A. (2020) 'Medical information retrieval systems for e-Health care records using fuzzy based machine learning model', Microprocessors and Microsystems. doi: 10.1016/j.micpro.2020.103344.
A. J. P. L, S. Sengan, K. G. K, V. J, J. Gopal, P. Velayutham, S. V, and A. LAZER, "Medical information retrieval systems for e-Health care records using fuzzy based machine learning model," Microprocessors and Microsystems, 2020. doi: 10.1016/j.micpro.2020.103344.
L AJP, Sengan S, K KG, J V, Gopal J, Velayutham P, et al. Medical information retrieval systems for e-Health care records using fuzzy based machine learning model. Microprocessors and Microsystems. 2020. doi: 10.1016/j.micpro.2020.103344.
L, Arokia Jesu Prabhu, et al.. "Medical information retrieval systems for e-Health care records using fuzzy based machine learning model." Microprocessors and Microsystems, 2020. https://doi.org/10.1016/j.micpro.2020.103344.
L, A. J. P., Sengan, S., K, K. G., J, V., Gopal, J., Velayutham, P., V, S., LAZER, A.. "Medical information retrieval systems for e-Health care records using fuzzy based machine learning model." Microprocessors and Microsystems (2020). https://doi.org/10.1016/j.micpro.2020.103344.
@article{l2020, title={Medical information retrieval systems for e-Health care records using fuzzy based machine learning model}, author={L, Arokia Jesu Prabhu and Sengan, Sudhakar and K, Kamalam G and J, Vellingiri and Gopal, Jagadeesh and Velayutham, Priya and V, Subramaniyaswamy and LAZER, AROKIA}, journal={Microprocessors and Microsystems}, year={2020}, doi={10.1016/j.micpro.2020.103344}, }
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Sengan, S., Prabhu, L. A. J., Ramachandran, V., Priya, V., Ravi, L., Subramaniyaswamy, V., & LAZER, A. (2020). Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN. Journal of Intelligent and Fuzzy Systems. https://doi.org/10.3233/JIFS-189146
Sengan, S., Prabhu, L.A.J., Ramachandran, V., Priya, V., Ravi, L., Subramaniyaswamy, V. and LAZER, A. (2020) 'Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN', Journal of Intelligent and Fuzzy Systems. doi: 10.3233/JIFS-189146.
S. Sengan, L. A. J. Prabhu, V. Ramachandran, V. Priya, L. Ravi, V. Subramaniyaswamy, and A. LAZER, "Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN," Journal of Intelligent and Fuzzy Systems, 2020. doi: 10.3233/JIFS-189146.
Sengan S, Prabhu LAJ, Ramachandran V, Priya V, Ravi L, Subramaniyaswamy V, et al. Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN. Journal of Intelligent and Fuzzy Systems. 2020. doi: 10.3233/JIFS-189146.
Sengan, Sudhakar, et al.. "Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN." Journal of Intelligent and Fuzzy Systems, 2020. https://doi.org/10.3233/JIFS-189146.
Sengan, S., Prabhu, L. A. J., Ramachandran, V., Priya, V., Ravi, L., Subramaniyaswamy, V., LAZER, A.. "Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN." Journal of Intelligent and Fuzzy Systems (2020). https://doi.org/10.3233/JIFS-189146.
@article{sengan2020, title={Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN}, author={Sengan, Sudhakar and Prabhu, L. Arokia Jesu and Ramachandran, V. and Priya, V. and Ravi, Logesh and Subramaniyaswamy, V. and LAZER, AROKIA}, journal={Journal of Intelligent and Fuzzy Systems}, year={2020}, doi={10.3233/JIFS-189146}, }
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Nandhini, K., Prabhu, L. J., & LAZER, A. (2020). Enhanced mechanism for efficient storage, retrieval and de-duplication in cloud. 2020 International Conference on Computer Communication and Informatics, ICCCI 2020. https://doi.org/10.1109/ICCCI48352.2020.9104176
Nandhini, K., Prabhu, L.J. and LAZER, A. (2020) 'Enhanced mechanism for efficient storage, retrieval and de-duplication in cloud', 2020 International Conference on Computer Communication and Informatics, ICCCI 2020. doi: 10.1109/ICCCI48352.2020.9104176.
K. Nandhini, L. J. Prabhu, and A. LAZER, "Enhanced mechanism for efficient storage, retrieval and de-duplication in cloud," 2020 International Conference on Computer Communication and Informatics, ICCCI 2020, 2020. doi: 10.1109/ICCCI48352.2020.9104176.
Nandhini K, Prabhu LJ, LAZER A. Enhanced mechanism for efficient storage, retrieval and de-duplication in cloud. 2020 International Conference on Computer Communication and Informatics, ICCCI 2020. 2020. doi: 10.1109/ICCCI48352.2020.9104176.
Nandhini, K., et al.. "Enhanced mechanism for efficient storage, retrieval and de-duplication in cloud." 2020 International Conference on Computer Communication and Informatics, ICCCI 2020, 2020. https://doi.org/10.1109/ICCCI48352.2020.9104176.
Nandhini, K., Prabhu, L. J., LAZER, A.. "Enhanced mechanism for efficient storage, retrieval and de-duplication in cloud." 2020 International Conference on Computer Communication and Informatics, ICCCI 2020 (2020). https://doi.org/10.1109/ICCCI48352.2020.9104176.
@inproceedings{nandhini2020, title={Enhanced mechanism for efficient storage, retrieval and de-duplication in cloud}, author={Nandhini, K. and Prabhu, L.Arokia Jepu and LAZER, AROKIA}, booktitle={2020 International Conference on Computer Communication and Informatics, ICCCI 2020}, year={2020}, doi={10.1109/ICCCI48352.2020.9104176}, }
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C, N. & LAZER, A. (2020). Designing user-centered IoT middleware solutions for small and mid-scale farmers for precision agriculture using cloud computing. International Journal of Advanced Trends in Computer Science and Engineering. https://doi.org/10.30534/ijatcse/2020/239942020
C, N. and LAZER, A. (2020) 'Designing user-centered IoT middleware solutions for small and mid-scale farmers for precision agriculture using cloud computing', International Journal of Advanced Trends in Computer Science and Engineering. doi: 10.30534/ijatcse/2020/239942020.
N. C and A. LAZER, "Designing user-centered IoT middleware solutions for small and mid-scale farmers for precision agriculture using cloud computing," International Journal of Advanced Trends in Computer Science and Engineering, 2020. doi: 10.30534/ijatcse/2020/239942020.
C N, LAZER A. Designing user-centered IoT middleware solutions for small and mid-scale farmers for precision agriculture using cloud computing. International Journal of Advanced Trends in Computer Science and Engineering. 2020. doi: 10.30534/ijatcse/2020/239942020.
C, Nallusamy, and AROKIA LAZER. "Designing user-centered IoT middleware solutions for small and mid-scale farmers for precision agriculture using cloud computing." International Journal of Advanced Trends in Computer Science and Engineering, 2020. https://doi.org/10.30534/ijatcse/2020/239942020.
C, N., LAZER, A.. "Designing user-centered IoT middleware solutions for small and mid-scale farmers for precision agriculture using cloud computing." International Journal of Advanced Trends in Computer Science and Engineering (2020). https://doi.org/10.30534/ijatcse/2020/239942020.
@article{c2020, title={Designing user-centered IoT middleware solutions for small and mid-scale farmers for precision agriculture using cloud computing}, author={C, Nallusamy and LAZER, AROKIA}, journal={International Journal of Advanced Trends in Computer Science and Engineering}, year={2020}, doi={10.30534/ijatcse/2020/239942020}, }
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Elmouki, I. (2020). SIS multi-regions discrete Influenza pandemic model and travel-blocking vicinity optimal control strategy on two forms of patch. Communications in Mathematical Biology and Neuroscience. https://doi.org/10.28919/cmbn/4550
Elmouki, I. (2020) 'SIS multi-regions discrete Influenza pandemic model and travel-blocking vicinity optimal control strategy on two forms of patch', Communications in Mathematical Biology and Neuroscience. doi: 10.28919/cmbn/4550.
I. Elmouki, "SIS multi-regions discrete Influenza pandemic model and travel-blocking vicinity optimal control strategy on two forms of patch," Communications in Mathematical Biology and Neuroscience, 2020. doi: 10.28919/cmbn/4550.
Elmouki I. SIS multi-regions discrete Influenza pandemic model and travel-blocking vicinity optimal control strategy on two forms of patch. Communications in Mathematical Biology and Neuroscience. 2020. doi: 10.28919/cmbn/4550.
Elmouki, Ilias. "SIS multi-regions discrete Influenza pandemic model and travel-blocking vicinity optimal control strategy on two forms of patch." Communications in Mathematical Biology and Neuroscience, 2020. https://doi.org/10.28919/cmbn/4550.
Elmouki, I.. "SIS multi-regions discrete Influenza pandemic model and travel-blocking vicinity optimal control strategy on two forms of patch." Communications in Mathematical Biology and Neuroscience (2020). https://doi.org/10.28919/cmbn/4550.
@article{elmouki2020, title={SIS multi-regions discrete Influenza pandemic model and travel-blocking vicinity optimal control strategy on two forms of patch}, author={Elmouki, Ilias}, journal={Communications in Mathematical Biology and Neuroscience}, year={2020}, doi={10.28919/cmbn/4550}, }
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Tejaswini, H., Pai, M. M. M., Pai, R. M., Attigeri, G., Shenoy, R. P., & H, T. (2020). An ontology-based decision support system for nutrition deficiency. 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER). https://doi.org/10.1109/DISCOVER50404.2020.9278069
Tejaswini, H., Pai, M.M.M., Pai, R.M., Attigeri, G., Shenoy, R.P. and H, T. (2020) 'An ontology-based decision support system for nutrition deficiency', 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER). doi: 10.1109/DISCOVER50404.2020.9278069.
H. Tejaswini, M. M. M. Pai, R. M. Pai, G. Attigeri, R. P. Shenoy, and T. H, "An ontology-based decision support system for nutrition deficiency," 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), 2020. doi: 10.1109/DISCOVER50404.2020.9278069.
Tejaswini H, Pai MMM, Pai RM, Attigeri G, Shenoy RP, H T. An ontology-based decision support system for nutrition deficiency. 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER). 2020. doi: 10.1109/DISCOVER50404.2020.9278069.
Tejaswini, H., et al.. "An ontology-based decision support system for nutrition deficiency." 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), 2020. https://doi.org/10.1109/DISCOVER50404.2020.9278069.
Tejaswini, H., Pai, M. M. M., Pai, R. M., Attigeri, G., Shenoy, R. P., H, T.. "An ontology-based decision support system for nutrition deficiency." 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) (2020). https://doi.org/10.1109/DISCOVER50404.2020.9278069.
@inproceedings{tejaswini2020, title={An ontology-based decision support system for nutrition deficiency}, author={Tejaswini, H. and Pai, M. M. Manohara and Pai, Radhika M. and Attigeri, Girija and Shenoy, Revathi P. and H, Tejaswini}, booktitle={2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)}, year={2020}, doi={10.1109/DISCOVER50404.2020.9278069}, }