Search Results - "S, Abdul Razak M"

A novel technique for detecting sudden concept drift in healthcare data using multi-linear artificial intelligence techniques by M. S., Abdul Razak, Nirmala, C. R., Aljohani, Maha, Sreenivasa, B. R.

“…A financial market is a platform to produce data streams continuously and around 1. 145 Trillion MB of data per day. Estimation and the analysis of unknown or…”
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A survey on detecting healthcare concept drift in AI/ML models from a finance perspective by M S, Abdul Razak, C R, Nirmala, B R, Sreenivasa, Lahza, Husam, Lahza, Hassan Fareed M

“…Data is incredibly significant in today's digital age because data represents facts and numbers from our regular life transactions. Data is no longer arriving…”
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Plant leaf disease detection using hybrid feature extraction techniques by Chetan, H. R., Rajanna, G. S., Nandini, G., Santosh, K. C., Puneeth, B. H., Gururaj, K. S., Sreenivasa, B. R., Abdul Razak, M. S.

“…Excessive yield losses are due to delayed identification of leaf diseases, resulting in lower farmer revenue. To address this, early and precise detection…”
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Online feature Selection using Pearson Correlation Technique by S, Abdul Razak M, R, Nirmala C, B, Chetan B, Rafi, Mohammed, R, Sreenivasa B

“…The large volume of data that is generated nowadays in the era of real-time data processing takes a long time. Streaming feature selection is one way to get…”
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Enhancing Student Support with AI: A College Assistance Chatbot Using NLP and ANN by Abdul Razak, M S, Manoj Kumar, M V, Nirmala, C R, Naseer, R, Prashanth, B S, Sneha, H R

“…The rapid adoption of chatbots in various domains has revolutionized user support systems, particularly in educational institutions. This paper presents the…”
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Giant tracheocele by Razak, Abdul, MS, Patil, Prashant H., MS, Sahota, Jaspal Singh, MS, Subramanian, S., MS

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