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Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients.

, , , , , , , , , and . Comput. Methods Programs Biomed., (October 2023)

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RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests., , and . IEEE Trans. Robotics, 33 (3): 547-564 (2017)3D terrain reconstruction using compound techniques., , and . Visual Information Processing, volume 3387 of SPIE Proceedings, page 360-368. SPIE, (1998)PCA for improving the performance of XCSF in classification of high-dimensional problems., , , and . GECCO (Companion), page 361-368. ACM, (2011)Audio-visual biometric recognition via joint sparse representations., , , and . ICPR, page 3031-3035. IEEE, (2016)Implementing neural network in custom computers., , , and . SMC, page 1836-1841. IEEE, (1998)Automatic visual inspection and flaw detection in textile materials: past, present and future., and . SMC, page 4340-4343. IEEE, (1998)A recognition-based Arabic optical character recognition system., , and . SMC, page 4189-4194. IEEE, (1998)Deep Boltzmann Machines for i-Vector Based Audio-Visual Person Identification., , , and . PSIVT, volume 9431 of Lecture Notes in Computer Science, page 631-641. Springer, (2015)An extension of min/max flow framework., , and . Image Vis. Comput., 27 (4): 342-353 (2009)A Low Cost Visual Hull based Markerless System for the Optimization of Athletic Techniques in Outdoor Environments., , , , , and . GRAPP/IVAPP, page 49-59. SciTePress, (2013)