Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer by S. Geeitha, K. Ravishankar, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

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Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival by S. Geeitha, K. P. Rama Prabha, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

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Integrating lncRNA gene signature and risk score topredict recurrence cervical cancer using recurrent neural network by E. Srividhya, V.R. Niveditha, C. Nalini, K. Sinduja, S. Geeitha, Kirubanantham P, Subrato Bharati

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Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer by Geeitha Senthilkumar, Jothilakshmi Ramakrishnan, Jaroslav Frnda, Manikandan Ramachandran, Deepak Gupta, Prayag Tiwari, Mohammad Shorfuzzaman, Mazin Abed Mohammed

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Designing and implementing a smart transplanting framework using programmable logic controller and photoelectric sensor by Bharat Bhushan Sharma, R. Raffik, Abhay Chaturvedi, S. Geeitha, Patan Saleem Akram, Natrayan L., V. Mohanavel, M. Sudhakar, Ravishankar Sathyamurthy

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