Search Results - "Sakthidasan Sankaran, K."

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  1. 1

    Efficient optimization based thresholding technique for analysis of alzheimer MRIs by Prabha, S., Sakthidasan @ Sankaran, K., Chitradevi, D.

    Published in International journal of neuroscience (01-02-2023)
    “…Purpose study: Alzheimer is a type of dementia that usually affects older adults by creating memory loss due to damaged brain cells. The damaged brain cells…”
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    Journal Article
  2. 2

    A machine learning based IoT for providing an intrusion detection system for security by Atul, Dhanke Jyoti, Kamalraj, R, Ramesh, G, Sankaran, K Sakthidasan, Sharma, Sudhir, Khasim, Syed

    Published in Microprocessors and microsystems (01-04-2021)
    “…Digital communication is provided with an effective communication platform to share and transfer information. The emergence of the Cyber-Physical System (CPS)…”
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  3. 3

    Efficient traffic control and lifetime maximization in mobile ad hoc network by using PSO–BAT optimization by Sridevi, N., Nagarajan, V., Sakthidasan @ Sankaran, K.

    Published in Wireless networks (01-02-2021)
    “…Recent developments in dynamic mobile ad-hoc network enhance the network speed and reliability. The nodes in the dynamic ad-hoc network are moving in nature…”
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  4. 4

    ACIAR: application-centric information-aware routing technique for IOT platform assisted by wireless sensor networks by Sakthidasan Sankaran, K., Vasudevan, N., Verghese, Ashok

    “…Wireless sensor network (WSN) is integrated with internet of things (IoT) for providing feasible solution towards data handling and information access, in a…”
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  5. 5

    A Statistical Lower UWB Channel Model for in Body Communications by Thirumaraiselvan, P., Sakthidasan @ Sankaran, K., Geo, V. Beslin, Prakash, V. R., Vasudevan, N.

    Published in Mobile networks and applications (01-12-2019)
    “…Applications of implantable micro-level wireless devices in the instantaneous collection and observation of body potentials of patients is becoming prominent…”
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  6. 6

    Analysis of regional atrophy and prolong adaptive exclusive atlas to detect the alzheimers neuro disorder using medical images by Kumar, R, Sakthidasan @ Sankaran K, Sampath, R, Mohamed, Shakeel P

    Published in Multimedia tools and applications (01-04-2020)
    “…Alzheimer’s Neurodegenerative Disease is understood neurological issue, which is influenced cerebrum cells are causes the intellectual decrease and memory…”
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  7. 7

    A Recurrent Reward Based Learning Technique for Secure Neighbor Selection in Mobile AD-HOC Networks by Sankaran, K. Sakthidasan, Vasudevan, N., Devabalaji, K. R., Babu, Thanikanti Sudhakar, Alhelou, Hassan Haes, Yuvaraj, T.

    Published in IEEE access (2021)
    “…Mobile ad-hoc network is an assortment of distinct attribute-based mobile devices that are autonomous and are cooperative in establishing communication. These…”
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  8. 8

    Chaotic sequence‐based MC‐CDMA for 5G by Reena raj, T., Sakthidasan @ Sankaran, K., Nagarajan, V.

    Published in Concurrency and computation (25-02-2021)
    “…Summary A unique chaotic spreading sequence‐based MC‐CDMA (multi‐carrier code division multiple accesses) is studied in this article. By employing this…”
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  9. 9

    Low Complexity Maximum Likelihood FBMC QAM for Improved Performance in Longer Delay Channels by Subalatha, M., Jayashri, S., Raja, J., Sakthidasan @ Sankaran, K.

    Published in Wireless personal communications (01-04-2021)
    “…Filter bank multi-carrier (FBMC) is an emerging 5G technology due to its finer spectral characteristics than its counterpart orthogonal frequency-division…”
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  10. 10

    Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Gupta, Sandeep, Geetha, Angelina, Sankaran, K. Sakthidasan, Zamani, Abu Sarwar, Ritonga, Mahyudin, Raj, Roop, Ray, Samrat, Mohammed, Hussien Sobahi

    Published in Journal of food quality (30-05-2022)
    “…Agriculture is crucial for the existence of humankind. Agriculture provides a significant portion of the income for many people all around the world…”
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  11. 11

    Energy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN by Sakthidasan @ Sankaran, K., Gao, Xiao-Zhi, Devabalaji, K.R., Mohana Roopa, Y.

    Published in Energy reports (01-11-2021)
    “…The furthermost important issues in WSN are to provide a multi-path and multi-constraint Qualify of Service (QoS) routing for uninterrupted communications…”
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  12. 12

    Efficient Image De-Noising Technique Based on Modified Cuckoo Search Algorithm by Sakthidasan @ Sankaran K, Vasudevan N, Kumara Guru Diderot P., Nagarajan V

    Published in Journal of medical systems (01-10-2019)
    “…The image restoration has emerged as a very vital investigation technique in the domain of the image processing. The underlying motive behind the image…”
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  13. 13

    An IoT and Machine Learning-Based Model to Monitor Perishable Food towards Improving Food Safety and Quality by Batool, Amina, Ganguli, Souvik, Almashaqbeh, Hashem Ali, Shafiq, Muhammad, Vallikannu, A. L., Sankaran, K. Sakthidasan, Ray, Samrat, Sammy, F.

    Published in Journal of food quality (06-06-2022)
    “…Increased quantities of the same sort of item are not nearly as critical to client happiness as a high-quality product. The requirements and expectations of…”
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  14. 14

    HGKM: An Efficient Hybrid Group Key Management for Unmanned Autonomous Vehicles MBN in Wireless Network Environment by Mahaveerakannan, R., Velmurugan, S., Vijaya Bhaskar, Seelam Ch, Jothi Chitra, R., Kareem, Z. H., Sakthidasan Sankaran, K., Venkatesh Kanna, T., Chweya, Ruth

    Published in Security and communication networks (04-10-2022)
    “…Mobile ad hoc networks (MANET) have been seen as a related advancement to Group Key Management (GKM) applications. Remembering the true objective to guarantee…”
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  15. 15

    Optimized gradient histogram preservation with block wise SURE shrinkage for noise free image restoration by Sakthidasan Sankaran, K., Prabha, S., Rubesh Anand, P. M.

    Published in Cluster computing (01-03-2019)
    “…The image noise removal and restoration techniques invariably employ the hybrid filter and genetic algorithm approaches for recovery of noise free images…”
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  16. 16

    Design of Reconfigurable Antenna with Defected Ground Structure for Wireless Sensor Network by Sankaran, K. Sakthidasan

    Published in Wireless personal communications (01-04-2023)
    “…A reconfigurable antenna is antenna fit for dynamically varying its radiation and frequency properties in controllable and reversible manner. Reconfigurable…”
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  17. 17

    Efficient and optimized communication in biomedical sensor networks based on bioinspired particle swarm optimization for medical applications by Sankaran, K.Sakthidasan, Kim, Jung-yoon

    Published in Medical engineering & physics (01-12-2022)
    “…•A clustering-based routing protocol may be optimized using this study's optimization approach so that the network's lifetime can be extended.•The cluster…”
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  18. 18

    Brain tumor grade identification using deep Elman neural network with adaptive fuzzy clustering-based segmentation approach by Sankaran, K. Sakthidasan, Thangapandian, M., Vasudevan, N.

    Published in Multimedia tools and applications (01-07-2021)
    “…A brain tumor is a collection of anomalous evolution of harmful and unnecessary nerve cells in the brain. For advanced treatment, it is essential to categorize…”
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  19. 19

    Effective Image Processing and Segmentation-Based Machine Learning Techniques for Diagnosis of Breast Cancer by Chaudhury, Sushovan, Krishna, Alla Naveen, Gupta, Suneet, Sankaran, K. Sakthidasan, Khan, Samiullah, Sau, Kartik, Raghuvanshi, Abhishek, Sammy, F.

    “…Breast cancer is the second leading cause of death among women, behind only heart disease. However, despite the high incidence and mortality rates associated…”
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  20. 20

    Deep learning based energy efficient optimal RMC-CNN model for secured data transmission and anomaly detection in industrial IOT by Sakthidasan Sankaran, K., Kim, Bong-Hyun

    “…As we know that the generated data from the million sensors in Industrial Internet of Things (IIoT) is tremendously heterogeneous, large, & dynamic. This, in…”
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