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Joint Beamforming with Speed Sensitive Relay Selection for Future Wireless Generation MIMO Networks Ashok K, Sudha T Pages 1293-1302 View PDF Article preview select article A Novel Analytical OFDM Modulation Framework using Wavelet Transform with Window Function in the Hilbert space Research articleOpen...
Reducing Handoff Delay in SDN-based 5G Networks Using AP Clustering Suzan Basloom, Nadine Akkari, Ghadah Aldabbagh Pages 198-208 View PDF select article FITME: BODY MEASUREMENT ESTIMATIONS USING MACHINE LEARNING METHOD Research articleOpen access ...
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(2019). Towards stable and efficient training of verifiably robust neural networks. arXiv:1906.06316 Zhou, B., Khosla, A., & Lapedriza. A., et al. (2016). Learning deep features for discriminative localization. In Proceedings of the IEEE conference on computer vision and pattern recognition...
labelled data and neural network architectures containing many layers are used in the training process. Most deep learning methods use neural network architectures, so deep learning models are often referred to as deep neural networks. Tables5and6shows the comparison of different Deep Learning ...
of SPIE - The International Society for Optical Engineering: Special Sessions on Food Safety, Visual Analytics, Resource-Restricted Embedded and Sensor Networks, and 3D Imaging and Display, vol. 6983, Article 69830F Amine Elforaici MEl, Chaaraoui I, Bouachir Y, Ouakrim W, Mezghani N (2018)...