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Pricing for urban areas using queuing theory.

, , , , and . FNC/MobiSPC/SEIT, volume 203 of Procedia Computer Science, page 554-558. Elsevier, (2022)

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A faster optimal model slotting in rack positions with mono SKU pallet., , , , and . FNC/MobiSPC/SEIT, volume 203 of Procedia Computer Science, page 588-593. Elsevier, (2022)Quantitative Estimation of Demand for Conveyor Belt Supplies., , , , , , , and . FNC/MobiSPC/SEIT, volume 203 of Procedia Computer Science, page 605-609. Elsevier, (2022)Pricing for urban areas using queuing theory., , , , and . FNC/MobiSPC/SEIT, volume 203 of Procedia Computer Science, page 554-558. Elsevier, (2022)Adapting floating-point precision to accelerate deep neural network training. Polytechnic University of Catalonia, Spain, (2024)FASE: A Fast, Accurate and Seamless Emulator for Custom Numerical Formats., , , , and . ISPASS, page 144-146. IEEE, (2022)A BF16 FMA is All You Need for DNN Training., , , , and . ARITH, page 9. IEEE, (2022)Evaluating Mixed-Precision Arithmetic for 3D Generative Adversarial Networks to Simulate High Energy Physics Detectors., , , , , and . ICMLA, page 49-56. IEEE, (2020)Dynamically Adapting Floating-Point Precision to Accelerate Deep Neural Network Training., , , , and . ICMLA, page 980-987. IEEE, (2021)