Search Results - "Sendhil kumar, S"

Fatigue Life Extension of Riveted Joints Using Fiber Metal Laminate Reinforcement by Kiran Babu, K.M., Sendhil Kumar, S.

“…The components and parts made of sheet metals are commonly used in the automotive industry. Most of the sheet metal joints are bonded together using riveted…”
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Gene Silencing Genetic Algorithm for 0/1 Knapsack with Object Preferences by Sathya, S. Siva, Kuppuswami, S., Kumar, S. Sendhil

“…Genetic Algorithms are efficient search and optimization techniques inspired by natural evolution. To show the difficulties in solving constrained optimization…”
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Tiny Criss-Cross Network for segmenting paddy panicles using aerial images by Ramachandran, Anitha, K.S., Sendhil Kumar

“…Panicle segmentation is a critical step in crop phenotyping research to investigate physiological and structural traits of crops. Unmanned aerial vehicle-based…”
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Optimizing User Satisfaction and Streamlining Operations in Online Retail Using CNN Algorithm by P, Rayavel, K S, Sendhil Kumar, S, Sarah Rachel, K, Sushmitha, P, Akalya

“…The rising trend of online shopping has become increasingly prevalent in today's generation. With the convenience of browsing and purchasing products from the…”
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COVID vision: An integrated face mask detector and social distancing tracker by Prasad, Janvi, Jain, Arushi, Velho, David, Kumar K S, Sendhil

“…The effects of the global pandemic are wide spreading. Many sectors like tourism and recreation have been temporarily suspended, but sectors like construction,…”
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Gene Silencing Genetic Algorithm for 0/1 Knapsack with Object Preferences by Siva Sathya, S., Kuppuswami, S., Sendhil Kumar, S.

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Efficient Predictive Model for Utilization of Computing Resources using Machine Learning Techniques by Sendhil Kumar, K.S., Anbarasi, M., Shanmugam, G. Siva, Shankar, Achyut

“…Data mining is a viable innovation to break down and extract patterns from crude information, which can change the original data into up-to-date information…”
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Disease Prediction using Hybrid Optimization Methods based on Tuning Parameters by Anbarasi, M., Sendhil Kumar, K.S., Balamurugan, R., Thejasswini

“…Swarm Intelligence (SI) is increasing day by day in the various research fields. There are many swarm-based optimizations introduced since the early '60s,…”
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Workflow scheduling in cloud environment – Challenges, tools, limitations & methodologies: A review by Menaka, M., Sendhil Kumar, K.S.

“…Workflow scheduling is a framework that simulates major domain applications like gaming, Natural language processing, data science etc., for which the task…”
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Supportive particle swarm optimization with time-conscious scheduling (SPSO-TCS) algorithm in cloud computing for optimized load balancing by Menaka, M., Sendhil Kumar, K.S.

“…•Optimized load balancing in cloud computing.•Supportive particle swarm optimization algorithm.•Time conscious scheduling.•Particle swarm optimization vs ant…”
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A Word Embedding Model for Topic Recommendation by Kannan, Megala S, G S, Mahalakshmi, E S, Smitha, Sendhil kumar, S

“…The proposed work aims to recommend relevant hash-tags from social media posts and blog posts related to food, recipes and other popular domains using topic…”
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Vegetable Disease Detection Using K-Means Clustering And Svm by Rahamathunnisa, U., Nallakaruppan, M.K., Anith, A., Kumar K.S., Sendhil

“…India is the cultivating country and our country is the biggest maker in agricultural products. So, we have to classify and exchange our agricultural products…”
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Enhancing learnability of melody based music through intuitive human computer interaction by Ramani, R. G., Kumar, S. S., Sivasathya, S.

“…Music learning demands significant amount of time and effort from the learner and the tutor. This paper describes the work done to improve the learnability of…”
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Data security and privacy using data partition and centric key management in cloud by Patel, Krunal, Sendhil Kumar, K. S., Singh, Navneet, Parikh, Kushang, Jaisankar, N.

“…The Cloud Computing is a next generation platform, which provides virtualization with resource pool. There are three types of cloud service models,…”
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