Deep MinMax Networks by Lohmiller, Winfried, Gassert, Philipp, Slotine, Jean-Jacques

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Filmwise condensation of steam on sinusoidal pin fin arrays : effects of fin height and fin pitch by Ho, Jin Yao, Leong, Kai Choong, Wong, Teck Neng

“…The pin fin arrays have the same fin base diameter (db) but are of different fin heights (l) and fin pitches (p). …”
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Surge in SpikeProp algorithm by Zhang, Zhengyang

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Robustness to training disturbances in SpikeProp Learning by Shrestha, Sumit Bam, Song, Qing

“…Stability is a key issue during spiking neural network training using SpikeProp. The inherent nonlinearity of Spiking Neuron means that the learning manifold changes abruptly; therefore, we need to carefully choose the learning steps at every instance. …”
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A spiking neural network for pattern recognition by Nurin Atikah Bohari

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Understanding solar PV through the MinUS-C module grounded in the ADDIE instructional model by Muhamad Kamarul Azman Sulaiman, Lilia Halim, Nurazidawati Mohamad Arsad, Ruhizan Mohamad Yasin

“…This study addresses this gap by developing the MinUS-C (Minecraft Urban Solar Community) learning module, grounded in the ADDIE instructional model, to systematically enhance students’ understanding and readiness for solar PV technology. …”
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End of the line by Chia, Wei Ting

“…My Final Year Project “End of the Line” is an experimental effort to create an expressive piece of game design, writing and drawing to explore the possibilities of creating a narrative driven card game that combines elements of walking simulators, interactive fiction, and strategic card games. …”
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Frail Line by Er, Kia Hui, Ong, Grace Xi Wei, Ho, Baofei, Tan, Jit Quan, Boithar, Faizal

“…Frail Line is a story about the changed dynamics of a father-daughter relationship after a separation of many years. …”
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Impact of spike anneal on ultra shallow junction formation by Lai, Chung Woh

“…This report explains the need for ultra shallow junctions for modern day CMOS devices, how spike anneal can help achieve this, reviews the important parameters if this process and how these parameters affect the performances of the CMOS transistors.…”
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Automated spike detection using cascade of simple classifiers by Guo, Jingyao

“…The infinite variety of spike morphologies and the similarity of spikes to normal EEG and artifacts also make the detection of spikes difficult. …”
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Place recognition using line-junction-lines in urban environments by Tang, Xiaoyu, Fu, Wenhao, Jiang, Muyun, Peng, Guohao, Wu, Zhenyu, Yue, Yufeng, Wang, Danwei

“…Bag- of-Words (BoW) -based approach is the most popular solution due to its efficiency and robustness. We propose to use Line- Junction-Line (LJL) to build a BoW for place recognition in urban environments. …”
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Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein by Zhang, Si Min, Liao, Ying, Neo, Tuan Ling, Lu, Yanning, Liu, Ding Xiang, Vahlne, Anders, Tam, James Pingkwan

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Flow pattern and heat transfer in a tightly-spaced finned channel by Chua, Leok Poh., Huang, Xiaoyang.

“…This work is motivated by heat transfer problems in microelectronic systems, and the channel, with an aspect ratio (A=b/d, where b and d are width and height of the channel) equals to 6, is used to simulate a finned heat sink in a densely-packed-electronic enclosure with low Reynolds and Rayleigh numbers.…”
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Designing a spiking neural network system for object recognition by Thong, Jing Yuan

“…Widely touted as the 3rd generation of neural networks, Spiking Neural Networks were introduced as an enhanced representation of working memory. …”
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Dissipative solitons with extreme spikes in the normal and anomalous dispersion regimes by Akhmediev, N., Soto-Crespo, J. M., Vouzas, Peter, Devine, N., Chang, Wonkeun

“…In this paper, one recent example is considered—dissipative solitons with extreme spikes (DSESs). It was found that DSESs exist in large regions of the parameter space of the complex cubic–quintic Ginzburg–Landau equation. …”
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Bayesian lesion estimation with a structured spike-and-slab prior by Menacher, A, Nichols, T, Holmes, C, Ganjgahi, H

“…Our method also accounts for underestimation of posterior variance due to variational inference by providing an approximate posterior sampling approach based on Bayesian bootstrap ideas and spike-and-slab priors with random shrinkage targets. …”

A New Hyperbox Selection Rule and a Pruning Strategy for the Enhanced Fuzzy Min–Max Neural Network by Mohammed, Mohammed Falah, Chee, Peng Lim

“…In this paper, we extend our previous work on the Enhanced Fuzzy Min–Max (EFMM) neural network by introducing a new hyperbox selection rule and a pruning strategy to reduce network complexity and improve classification performance. …”
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Design and testing of pectoral fin model for maneuver of autonomous underwater vehicle by Surulivelu Prabu.

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Missing links in The China Model by Li, Chenyang

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On the link upgrade problem for networks by Niu, Zhuo.

“…In this thesis, we study the link upgrade problem and examine some existing heuristic algorithms that have been proposed for this problem, implements and evaluate the performance of these algorithms. …”
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