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Andrew Chamberlin, Andrew Gerber, Mason Palmer, Tim Goodale, Noel Daniel Gundi, Koushik Chakraborty and Sanghamitra Roy
Artificial Intelligence (AI) hardware accelerators have seen tremendous developments in recent years due to the rapid growth of AI in multiple fields. Many such accelerators comprise a Systolic Multiply?Accumulate Array (SMA) as its computational brain. ...
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Dipayan Mazumder, Mithun Datta, Alexander C. Bodoh and Ashiq A. Sakib
The increasing demand for high-speed, energy-efficient, and miniaturized electronics has led to significant challenges and compromises in the domain of conventional clock-based digital designs, most notably reduced circuit reliability, particularly in mi...
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Noel Daniel Gundi, Pramesh Pandey, Sanghamitra Roy and Koushik Chakraborty
Increasing processing requirements in the Artificial Intelligence (AI) realm has led to the emergence of domain-specific architectures for Deep Neural Network (DNN) applications. Tensor Processing Unit (TPU), a DNN accelerator by Google, has emerged as a...
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Yali Zhang, Luchao Bai, Yuan Qi, Huasheng Huang, Xiaoyang Lu, Junqi Xiao, Yubin Lan, Muhua Lin and Jizhong Deng
Effective detection of rice spikelet flowering is crucial to the determination of optimal pollination timing for hybrid rice seed production. Currently, the detection of rice spikelet flowering status relies on manual observation of farmers, which has lo...
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Evelin Engler, Pawel Banys, Hans-Georg Engler, Michael Baldauf and Frank Sill Torres
Collision avoidance is one of the main tasks on board ships to ensure safety at sea. To comply with this requirement, the direct ship environment, which is often modelled as the ship?s domain, has to be kept free of other vessels and objects. This paper ...
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Data-driven intelligent transportation systems (D2ITSs) have drawn significant attention lately. This work investigates a novel multi-agent-based data-driven distributed adaptive cooperative control (MA-DD-DACC) method for multi-direction queu...
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Ling Wang, H. J. (Ilja) Van Meerveld and Jan Seibert
Many studies have shown that isotope data are valuable for hydrological model calibration. Recent developments have made isotope analyses more accessible but event sampling still involves significant time and financial costs. Therefore, it is worth to st...
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Paul Van Rensburg,Kevin Slaney,Phillipe Hardy
AbstractResearchers in financial economics conventionally include dividend receipts as returns received on their date of payment. This article argues that this procedure misrepresents the economic timing of shareholder returns. A theoretical discussion o...
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