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pro vyhledávání: '"Ing, A"'
Autor:
Chen, Ching-Hsiu, Hsu, Wei-Hao, Oishi-Tomiyasu, Ryoko, Lee, Chi-Cheng, Chu, Ming-Wen, Hwang, Ing-Shouh
Water hydrogen bonding is extremely versatile; approximately 20 ice structures and several types of clathrate hydrate structures have been identified. These crystalline water structures form at temperatures below room temperature and/or at high press
Externí odkaz:
http://arxiv.org/abs/2409.00415
Autor:
Eldebiky, Amro, Zhang, Grace Li, Yin, Xunzhao, Zhuo, Cheng, Lin, Ing-Chao, Schlichtmann, Ulf, Li, Bing
Deep neural networks (DNNs) have made breakthroughs in various fields including image recognition and language processing. DNNs execute hundreds of millions of multiply-and-accumulate (MAC) operations. To efficiently accelerate such computations, ana
Externí odkaz:
http://arxiv.org/abs/2407.03738
Publikováno v:
March 2024, MNRAS, 528, 7202
We report the conditional occurrences between three planetary types: super-Earths (m sin i $<$ 10 M$_\oplus$, P $<$ 100 days), warm Jupiters (m sin i $>$ 95 $M_\oplus$, 10 $<$ P $<$ 100 days), and cold Jupiters (m sin i $>$ 95 M$_\oplus$, P $>$ 400 d
Externí odkaz:
http://arxiv.org/abs/2402.17212
We propose a novel energy-aware federated learning (FL)-based system, namely SusFL, for sustainable smart farming to address the challenge of inconsistent health monitoring due to fluctuating energy levels of solar sensors. This system equips animals
Externí odkaz:
http://arxiv.org/abs/2402.10280
Autor:
Fang, Chung-Kai, Chuang, Cheng-Hao, Yang, Chih-Wen, Guo, Zheng-Rong, Hsu, Wei-Hao, Wang, Chia-Hsin, Hwang, Ing-Shouh
Surfaces (interfaces) dictate many physical and chemical properties of solid materials and adsorbates considerably affect these properties. Nitrogen molecules, which are the most abundant constituent in ambient air, are considered to be inert. Our st
Externí odkaz:
http://arxiv.org/abs/2401.16737
Autor:
Jiang, Mengnan, Wang, Jingcun, Eldebiky, Amro, Yin, Xunzhao, Zhuo, Cheng, Lin, Ing-Chao, Zhang, Grace Li
Deep neural networks (DNNs) have demonstrated remarkable success in various fields. However, the large number of floating-point operations (FLOPs) in DNNs poses challenges for their deployment in resource-constrained applications, e.g., edge devices.
Externí odkaz:
http://arxiv.org/abs/2312.05875
Hyperdimensional Computing (HDC) is a brain-inspired and light-weight machine learning method. It has received significant attention in the literature as a candidate to be applied in the wearable internet of things, near-sensor artificial intelligenc
Externí odkaz:
http://arxiv.org/abs/2312.00454
Modern machine learning models are able to outperform humans on a variety of non-trivial tasks. However, as the complexity of the models increases, they consume significant amounts of power and still struggle to generalize effectively to unseen data.
Externí odkaz:
http://arxiv.org/abs/2311.18130
Transit observations have become an important technique to probe exoplanets. Therefore, there are many projects carrying on organized observations of transit events, which make a huge amount of light-curve and transit timing data available. We consid
Externí odkaz:
http://arxiv.org/abs/2310.08953
Autor:
Farhoodi, Roozbeh, Wilkes, Phil, Natarajan, Anirudh M., Ing-Esteves, Samantha, Lefebvre, Julie L., Disney, Mathias, Kording, Konrad P.
Since they became observable, neuron morphologies have been informally compared with biological trees but they are studied by distinct communities, neuroscientists, and ecologists. The apparent structural similarity suggests there may be common quant
Externí odkaz:
http://arxiv.org/abs/2307.01499