Unravelling giant molecular clouds by Liang, F

“…<p>Giant molecular clouds (GMCs) provide the fuel for star formation and bear various feedbacks. Thus, they are key to our understanding of galaxy evolution and the baryon cycle. …”

Learning equivariant structured output SVM regressors by Vedaldi, A, Blaschko, M, Zisserman, A

“…Theoretical results relating to vicinal risk, and experiments on challenging aerial car and pedestrian detection tasks show the effectiveness of the proposed solution. © 2011 IEEE.…”

Scalable cascade inference for semantic image segmentation by Sturgess, P, Ladický, L, Crook, N, Torr, PHS

“…Semantic image segmentation is a problem of simultaneous segmentation and recognition of an input image into regions and their associated categorical labels, such as person, car or cow. A popular way to achieve this goal is to assign a label to every pixel in the input image and impose simple structural constraints on the output label space. …”

Decentralized convergence to equilibrium prices in trading networks by Lock, E, Evans, BP, Kreacic, E, Bhatt, S, Koppel, A, Ganesh, S, Goldberg, PW

“…Our motivation comes from the fact that prices in markets such as over-the-counter markets and used car markets arise from decentralized negotiation among agents, which has left open an important question as to whether equilibrium prices can emerge from agent-to-agent bilateral negotiations. …”

Adversarial example construction against autonomous vehicle (part 2) by Toh, Koo Fong

“…Autonomous vehicles use Deep Neural Network (DNN) to predict the movement of the car. However, DNN is vulnerable to cybersecurity attacks such as adversarial attacks. …”
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Distributed model predictive control for active air suspension systems of autonomous vehicles by Wang, Muyun

“…This work examines the Distributed Model Predictive Control (DMPC) strategy for an intelligent car air spring suspension system. The nonlinear properties and complexity of air spring suspension are crucial for enhancing handling stability and ride comfort, although they also provide control challenges for suspension systems. …”
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Mathematical foundation of data science by Fang, Xiaowei

“…High-dimensional probability theory bears vital importance in the mathematical foundation of data science. …”
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Data collection and analysis for air pollutants (NO2,PM2.5) in Hong Kong by Hui, Benedict Chung Wah

“…Especially with the increase number in private car owners in Hong Kong, the roads located near the Central Business district gets heavily congested and therefore increases the pollution levels immensely. …”
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Symbiotic simulation for future electro-mobility transportation systems by Aydt, Heiko, Lees, Michael, Knoll, Alois

“…The outcome of these simulations can be used by server-based smart routing services and/or in-car navigation systems.…”
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Entanglement gain in measurements with unknown results by Zuppardo, Margherita, Ganardi, Ray, Miller, Marek, Bandyopadhyay, Somshubhro, Paterek, Tomasz

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Evolution of an ultracold gas in a non-Abelian gauge field: finite temperature effect by Hasan, Mehedi, Madasu, Chetan Sriram, Rathod, Ketan Damji, Kwong, Chang Chi, Wilkowski David

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Visual place recognition for autonomous robots using deep learning by Huang, Yifeng

“…In addition, self-driving cars require precise, light and comfortable shapes to operate in order to achieve their portability. …”
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Sensor fusion for object detection under adverse weather by Soh, Brandon Jian Zheng

“…The innovative strides in AV technology, from self-driving cars to autonomous delivery drones, have captured widespread attention and are poised to reshape the future of mobility. …”
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Data preparation and visualization of heavy vehicular movement for traffic prediction by Chong, Ji Shen

“…Hence the road often taken by such buses can be determined to be similar to regular cars and vehicles. This meant that there are a wider range of alternate routes available for these private buses.…”
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Thermodynamics versus kinetics in nanosynthesis by Wang, Yawen, He, Jiating, Liu, Cuicui, Chong, Wen Han, Chen, Hongyu

“…One may discover a stone tool by chance but it takes more than luck to make a car or cell phone. With the advance of nanoscience, the synthesis of increasingly sophisticated nanostructures demands a rational design and a systems approach. …”
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Object individuation and physical reasoning in infancy : an integrative account by Baillargeon, Renée, Stavans, Maayan, Wu, Di, Gertner, Yael, Setoh, Peipei, Kittredge, Audrey K., Bernard, Amélie

“…In this article, we argue that this confusing picture can be better understood by bringing to bear insights from a related subfield of infancy research, physical reasoning. …”
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Predicative adjectives in Thai: diachronic changes in the past century by Jaratjarungkiat, Sureenate, Park, Kyung-Eun, Tan, Samuel Yuan Han

“…Peripheral adjectives, on the other hand, bear resemblance to both nouns and verbs from a syntactic standpoint (e.g. they may co-occur with the negation marker, auxiliary verbs and even the copula /pen/). …”
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5G : The 5th Generation Mobile Networks / by Trick, Ulrich, author 655465, Walter de Gruyter GmbH (Online service) 655461

“…With 5G, telecommunications networks have entered a new phase. 5G mobile networks use unique concepts and technologies to deliver current and future applications across a wide spectrum, from high bit-rate smartphones to high-availability car-to-x and mass IoT applications. This book on 5G technology starts with the evolution of mobile networks to 5G. …”
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Behind the Two-Wheeled Vehicle: Understanding Riders' Behaviour in School Zones (S/O: 13058) by Abdul Hanan, Suhaila, Zainuddin, Nizamuddin, King, Mark, Lewis, Ioni

“…In relation to school zones, in spite all of the countermeasures that have been implemented in Malaysia (e.g., speed limit signage and school zones road marking), studies show that many road user either car drivers or motorcycle riders (i.e., after this session will be address as motorcyclists) do not comply with the school zones speed limit (SZSL). …”
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Artificial Intelligence and the US-China Balance of Power by Chang, Benjamin Angel

“…Finally, the third essay exploits supply chain datasets to assess each side’s ability to bring AI-enabled autonomous weapons to bear in future conventional conflicts. I find that control over the production of advanced AI chips by the United States and allies almost certainly means the United States would better exploit such weapons, if they emerged as decisive in modern warfare, within at least the next ten years. …”
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