Impact of China's OBOR strategy : the impact of China's belt and road initiative - key challenges on ports in Asia by Tan, Siang Ying

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Classification and reconstruction of communication signals based on convolutional neural network by Cai, Zhenmin

“…CNN reduces the calculation of the model effectively and improves the robustness compared with Artificial Neural Network (ANN). This report uses a CNN model to do classification and features extraction on different modulation signals in communication. …”
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Immunotherapy-resistant neuropathic pain and fatigue predict quality-of-life in contactin-associated protein-like 2 antibody disease by Ceronie, B, Strippel, C, Uy, C, Paneva, S, Makuch, M, Soleimani, B, Turaga, S, Binks, S, Ramanathan, S, Michael, S, Varley, J, Easton, A, Themistocleous, A, John Dawes, Bennett, DL, Irani, A, Handel, AE, Irani, SR

“…Further work should study the relative importance of these measures, and the immunopathogenesis underlying intractable symptoms. ANN NEUROL 2025…”

Probabilistic photonic computing with chaotic light by Brückerhoff-Plückelmann, F, Borras, H, Klein, B, Varri, A, Becker, M, Dijkstra, J, Brückerhoff, M, Wright, CD, Salinga, M, Bhaskaran, H, Risse, B, Fröning, H, Pernice, W

“…Artificial neural networks (ANNs), inspired by these biological counterparts, have emerged as powerful tools for deciphering intricate data patterns and making predictions. …”

That mysterious man by Lin, Enyi

“…Xu An is a rookie policeman who is working undercover in the Tang Nightclub as a waiter called Ann. The police suspect that the nightclub is implicated in the drug trade and Zhang Xu, a medicine dealer who is a regular, is involved. …”
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Singapore : the future project cargo hub of Southeast Asia. Part I : project cargo opportunities in Southeast Asia by Rodrigues Shawn Ignatius.

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Competitive strategies for small business in optical pick-up manufacturing by Ge, Guo Zheng, Zhang, Jing

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Tools for analysis of large-scale networks (I) algorithms, analytics and visualization by Zhang, Xinyi

“…This project aimed to continue to work onto the large scaled analyzation tool that is developed by the previous student, Chua Chee Ann. In the previous tool, many basic analytical functions such as data search, topic modelling on the retrieved data and graphic user interface has been implemented successfully. …”
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Learning stock market dynamics using the kinetic ising model by Nguyen, Ai Linh

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Life is uncertain: inherent variability exhibited by organisms, and at higher levels of biological organization by Bull, JW

Stochastic boundary conditions for molecular dynamics simulations. by Suen, Whei Yeap.

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Part III Singapore : the future project cargo hub of Southeast Asia by Heng, Yi Quan.

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Automated sample preparation systems for medical diagnostics by Johanes Candra, Guo, Xun, Siew, Kok Ewe, Zhang, Meiqing

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Dynamics of housing markets by Tay, Darrell Jiajie

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Grouting in rock cavern - a case study by Chew, Wei Kwang

“…We then make use of the increasingly popular Artificial Neural Network (ANN) to establish a model based on the data mined from OT1-2, in order to predict the volume of grout needed for OT0-1C. …”
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Design and investigation of air-cooled heat sinks using 3D printing technology by Lim, Ming Chong

“…This study presents the heat transfer performance of five pin fin heat sinks that have been fabricated using Selective Laser Melting. …”
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Causes of failure of negotiations in international conflicts. by Keshav, Nirupama.

“…This dissertation is about the failure of negotiations in peace processes and the probable causes for this failure. …”
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The peacemakers: envisioning a Pax Americana in the age of empires by Suchak, N

“…<p><em>The Peacemakers</em> is an imperial history of the American peace movement. The American peace movement – a porous group of cosmopolitan, middle-class Americans – lay at the epicentre of both a transimperial web of peace activism and a broader political ecosystem of nineteenth- century liberal reform. …”

Squaring a Circle: To What Extent Are Traditional Circuit Analogies Impeding Synthetic Biology? by Ilia, Katherine, Del Vecchio, Domitilla

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Hybrid modeling in the predictive analytics of energy systems and prices by Gulay, Emrah, Duru, Okan

“…In this regard, the proposed algorithm hybridizes or combines linear components captured by the Autoregressive Distributed Lag Model (ARDL) and nonlinear components processed by the Empirical Mode Decomposition (EMD) and an Artificial Neural Network (ANN) to improve post-sample accuracy. The conventional reiterative process can improve in-sample accuracy, which literally has no value for business forecasting practices. …”
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