1. CMU Intellectual Repository

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Results 1-10 of 11 (Search time: 0.004 seconds).
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Issue DateTitleAuthor(s)
1-Jan-2017Preliminary design for development for non-prescription medicine mobile health applicationOrawit Thinnukool
1-Jan-2022Semi/fully-automated segmentation of gastric-polyp using aquila-optimization-algorithm enhanced imagesVenkatesan Rajinikanth; Shabnam Mohamed Aslam; Seifedine Kadry; Orawit Thinnukool
1-Jan-2022Signet Ring Cell Detection from Histological Images Using Deep LearningMuhammad Faheem Saleem; Syed Muhammad Adnan Shah; Tahira Nazir; Awais Mehmood; Marriam Nawaz; Muhammad Attique Khan; Seifedine Kadry; Arnab Majumdar; Orawit Thinnukool
1-Jan-2022Optimal deep convolution neural network for cervical cancer diagnosis modelMohamed Ibrahim Waly; Mohamed Yacin Sikkandar; Mohamed Abdelkader Aboamer; Seifedine Kadry; Orawit Thinnukool
1-Jan-2022Nonlinear Dynamics of Nervous Stomach Model Using Supervised Neural NetworksZulqurnain Sabir; Manoj Gupta; Muhammad Asif Zahoor Raja; N. Seshagiri Rao; Muhammad Mubashar Hussain; Faisal Alanazi; Orawit Thinnukool; Pattaraporn Khuwuthyakorn
1-Jan-2022Optimal Deep Canonically Correlated Autoencoder-Enabled Prediction Model for Customer Churn PredictionOlfat M. Mirza; G. Jose Moses; R. Rajender; E. Laxmi Lydia; Seifedine Kadry; Cheadchai Me-Ead; Orawit Thinnukool
1-Jan-2022Deep learning model construction for a semi-supervised classification with feature learningSridhar Mandapati; Seifedine Kadry; R. Lakshmana Kumar; Krongkarn Sutham; Orawit Thinnukool
1-Jan-2021A cascaded design of best features selection for fruit diseases recognitionFaiz Ali Shah; Muhammad Attique Khan; Muhammad Sharif; Usman Tariq; Aimal Khan; Seifedine Kadry; Orawit Thinnukool
1-Jan-2021Optimal deep dense convolutional neural network based classification model for COVID-19 diseaseA. Sheryl Oliver; P. Suresh; A. Mohanarathinam; Seifedine Kadry; Orawit Thinnukool
1-Jan-2021Double encryption using trigonometric chaotic map and XOR of an imageOrawit Thinnukool; Thammarat Panityakul; Mahwish Bano

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