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Afolabi Ige, Linhao Yang, Hang Yang, Jennifer Hasler and Cong Hao
The design of analog computing systems requires significant human resources and domain expertise due to the lack of automation tools to enable these highly energy-efficient, high-performance computing nodes. This work presents the first automated tool fl...
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Dionysios Filippas, Chrysostomos Nicopoulos and Giorgos Dimitrakopoulos
Machine-learning accelerators rely on floating-point matrix and vector multiplication kernels. To reduce their cost, customized many-term fused architectures are preferred, which improve the latency, power, and area of the designs. In this work, we desig...
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Daniele Passaretti, Mukesh Ghosh, Shiras Abdurahman, Micaela Lambru Egito and Thilo Pionteck
In computed tomography imaging, the computationally intensive tasks are the pre-processing of 2D detector data to generate total attenuation or line integral projections and the reconstruction of the 3D volume from the projections. This paper proposes th...
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Iouliia Skliarova
It is well known that network-based parallel data processing algorithms are well suited to implementation in reconfigurable hardware recurring to either Field-Programmable Gate Arrays (FPGA) or Programmable Systems-on-Chip (PSoC). The intrinsic paralleli...
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Aurelien Bloch, Simone Casale-Brunet and Marco Mattavelli
Developing and fine-tuning software programs for heterogeneous hardware such as CPU/GPU processing platforms comprise a highly complex endeavor that demands considerable time and effort of software engineers and requires evaluating various fundamental co...
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Luca Giordano, Andrea Francavilla, Corrado Lanera, Sara Urru, Paola Berchialla and Ileana Baldi
Patients are the most important actors in clinical research. Therefore, patient preference information (PPI) could support the decision-making process, being indisputable for research value, quality, and integrity. However, there is a lack of clear guida...
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Qi Xin, Bangdi Liu, Jing Sun, Xinguang Fan, Xiangxin Li, Lihua Jiang, Guangfei Hao, Haisheng Pei and Xinqun Zhou
This study aimed to investigate that rapid high-temperature treatment (RHT) at an appropriate temperature could accelerate callus formation by effectively promoting the necessary metabolic pathways in sweet potato callus. In this study, the callus of swe...
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Mikhail Lavrentiev, Konstantin Lysakov, Andrey Marchuk, Konstantin Oblaukhov and Mikhail Shadrin
Events of a seismic nature followed by catastrophic floods caused by tsunami waves (the incidence of which has increased in recent decades) have an important impact on the populations of littoral regions. On the coast of Japan and Kamchatka, it takes nea...
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Sotiris Angelis, Konstantinos Kotis and Dimitris Spiliotopoulos
Semantic trajectory analytics and personalised recommender systems that enhance user experience are modern research topics that are increasingly getting attention. Semantic trajectories can efficiently model human movement for further analysis and patter...
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Catherine Dezan, Sara Zermani and Chabha Hireche
Bayesian Networks (BN) are probabilistic models that are commonly used for the diagnosis in numerous domains (medicine, finance, transport, robotics, ?). In the case of autonomous vehicles, they can contribute to elaborate intelligent monitors that can t...
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