Single antenna power measurements based direction finding : an FRI solution by Zhang, Song Bai

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Towards a computer that functions like the human brain by Lee, Seow Wei

“…Spike-Timing-Dependent Plasticity and unsupervised learning in the network is researched in this report. …”
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Perceptual distortion analysis for images by Dong, Li

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Synaptic CMOS transistor by Chai, Zhen Hong

“…In this work, electrical measurements were conducted on commercial level TiN/HfO2 gated n-channel MOSFET transistor (with an equivalent oxide thickness of 1.7nm) to demonstrate that it can exhibit some critical synaptic characteristics of a biological synapse such as excitatory and inhibitory postsynaptic current (EPSC and IPSC), short-term plasticity (STP) and long-term potentiation (LTP), metaplasticity, and spike timing dependent plasticity (STDP). The mechanism behind the output characteristic of MOSFET to exhibit synaptic-like response is the charge trapping and de-trapping at defects in the oxide and oxide/semiconductor interface. …”
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A scalable variational inference approach for increased mixed-model association power by Loya, H, Kalantzis, G, Cooper, F, Palamara, PF

“…We developed Quickdraws, a method that increases association power in quantitative and binary traits without sacrificing computational efficiency, leveraging a spike-and-slab prior on variant effects, stochastic variational inference and graphics processing unit acceleration. …”

Power quality enhancement of isolated power systems through series compensation by Wang, Tongxun

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An assessment of solar power contribution to electric vehicle by Luo, Chuan.

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Dengue death rate higher among women than men in Bangladesh by Roney, Miah, Mohd Fadhlizil Fasihi, Mohd Aluwi

“…Given the atypical seasonality of the epidemic and the sudden spike in cases early on, it is noteworthy that mosquito and potential hotspot densities were at an all-time high throughout the previous years.…”
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Design and development of extreme learning machine symposium web portal by Chiang, Yu Hui.

“…In recent years, it has been observed that there is a spike in interest in the development of web based conference management systems. …”
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Mean-field approximation for networks with synchrony-driven adaptive coupling by Fennelly, N, Neff, A, Lambiotte, R, Keane, A, Byrne, A

“…In place of the less tractable spike-timing-dependent plasticity, we employ recently validated phase-difference-dependent plasticity rules, which adjust coupling strengths based on the relative phases of θ-neuron oscillators. …”

Electro-optical simulation of an organic solar cell by Xu, Baohua.

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Guidance and navigation of a wheeled mobile robot by Goh, Ing Jya.

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Voltage quality enhancement through direct load control by Yang, Wen Xin

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Frequency stabilization through dynamic load management by Rudy Tjandra.

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Driving mechanism development for autonomous hospital bed by Tan, Jia Liang

“…Demand is foreseen to spike and a range of healthcare services that range from acute to community care is necessary for a holistic healthcare system. …”
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Efficient position decoding methods based on fluorescence calcium imaging in the mouse hippocampus by Tu, Mengyu, Zhao, Ruohe, Adler, Avital, Gan, Wen-Biao, Chen, Zhe S.

“…Here, we develop an efficient strategy to extract features from fluorescence calcium imaging traces and further decode the animal's position. We validate our spike inference-free decoding methods in multiple in vivo calcium imaging recordings of the mouse hippocampus based on both supervised and unsupervised decoding analyses. …”
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Electrolyte-gated neuromorphic transistors for brain-like dynamic computing by He, Yongli, Jiang, Shanshan, Chen, Chunsheng, Wan, Changjin, Shi, Yi, Wan, Qing

“…Particularly, dynamics play an essential role in neural spike information processing. Here, we offer a brief review and perspective in the field of electrolyte-gated neuromorphic transistors for brain-like dynamic computing. …”
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Product design for manufacture and assembly methodologies by Lu, Joyce Ruizhi.

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Enabling basic motion behaviors on irobot create by Du, Xinxin.

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EEG-based attention recognition using machine learning by Sun, Haoqi

“…Attention is constantly required in many daily life tasks. Attention-related behavior, such as driving distraction, has been reported as a major reason in traffic accidents. …”
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