Titlebook: Recurrent Neural Networks; From Simple to Gated Fathi M. Salem Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusi

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Fathi M. Salemiewed as a sequence of different semiconductor layers grown sucessively along a well defined crystalline growth direction. The carriers’ motion along this growth direction of the heterostructure (hereafter called the z direction) is then strongly modified by the presence of the various thin (≈100Å)

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ingof output layers, using supervised learning, and hidden layers, using unsupervised learning, to generate more efficient internal representations and accuracy performance. As a result, readers will be enabled978-3-030-89931-8978-3-030-89929-5

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rences between the machining of non-ferrous metals and thermo-chemically treated steel alloys are discussed. Finally, examples for the replication of glass and plastic optics with moulding inserts made of thermo-chemically treated steel are given. Therefore, this chapter gives an overview over the w

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Fathi M. Salemw type of nanoporous materials which have ultra-low density, high surface area and regular pore structure. Compared with the traditional porous materials like active carbons or zeolites, MOFs demonstrate more flexibility in tuning the structure and surface chemistry, making them excellent candidates

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Fathi M. Salemsite materials. Finally, the micro-ground surface and 3D topographies, micro-groove profile, tip arc radius, tip angle and form accuracy were analyzed and investigated for four different materials. The experimental results show that the arc radius at the bottom of micro-groove on the surface of mono

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of the V-tip wheel trued with the optimal parameters. The results revealed that the highest shape accuracy was obtained at pulse frequency of 4000 Hz, duty cycle of 50%, and open-circuit voltage of 25 V. As a result, the V-tip wheel obtained the minimum tip angle of 62.4° and the minimum tip radius