Titlebook: Industrial Aspects of Biochemistry and Genetics; N. Gürdal Alaeddinoğlu,Arnold L. Demain,Giancarlo Book 1985 Springer Science+Business Me

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Barbara E. Wrightand those who require to communicate and don’t understand SLR. This paper focuses on an end-to-end deep learning approach for the recognition of sign gestures recorded with a 3D sensor (e.g., Microsoft Kinect). Typical machine learning based SLR systems require feature extractions before applying ma

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H. Kleinkauf,H. V. Döhrener. Among them, microscopic examination of biopsy tissue images is the most efficient method. A timely and accurate diagnosis plays a critical role in preventing cancer from progressing. The recent achievement of deep learning (DL), notably in the convolution neural networks (CNN), is exceptional in

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D. R. De Buyser,J. A. Spriet,G. C. Vansteenkisteved within the ambit of existing scanning hardware, by exploiting the inherent sparsity of MR images in a known basis. Latter works have adopted dictionary learning strategies on vectorized image patches to enforce higher degrees of sparsity. However, the enormous computational complexity has confin

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tphone cameras. Currently, quality inspection for bent and crooked pipe ends is done manually, which entails additional labour costs and is relatively slower than a mechanised approach. We propose an efficient and robust method of detecting the perfectly circular cross-sections of the pipes in stack

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