Cooperative collision avoidance in multirobot systems using fuzzy rules and velocity obstacles by Tang, Wenbing, Zhou, Yuan, Zhang, Tianwei, Liu, Yang, Liu, Jing, Ding, Zuohua

“…In detail, at any time instant, a robot checks the robots that it may collide with and retrieves the most dangerous robot in each sector based on the predicted collision time; then, the robot generates its velocity in real-time via fuzzy inference and VO-based fine-tuning. …”
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Our weapons, our problem: arms exports, democracy and civil society in Brazil and the UK by de Moraes, RF

“…The causal mechanism is in part explained by activities conducted by norm entrepreneurs, whose emergence is facilitated by the existence of institutions commonly found in democratic countries, especially a system of checks and balances, contested elections, and political and civil liberties. …”

Bus Ride Index – a refined approach to evaluating road surface irregularities by Nguyen, Teron, Lechner, Bernhard, Wong, Yiik Diew, Tan, Jun Yew

“…Many studies on ride comfort have focused on cars and trucks, but their results are not applicable to buses, which are characterised by inherently different vehicle dynamics. …”
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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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Modelling and analysis of lubricated piston skirt-cylinder sub-systems in internal combustion engines by Amirun Rasyid Abu Bakar

“…As such, a with a good knowledge of all three variables together, which are modal operating crank velocities of the vehicle, dynamic viscosities of the lubricant and the clearance specifications of the car engine, will allow car owners to maximise the efficiency and performance of their machine.…”
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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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Thermodynamic modelling and performance study of an engine waste heat driven adsorption cooling for automotive air-conditioning by Ali, Syed Muztuza, Chakraborty, Anutosh

“…From the simulation results, it is found that the exhaust energy of a six cylinder 3000 cc private car is able to produce nearly 3 kW of cooling power for the car cabin. …”
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Security challenges in automotive hardware/software architecture design by Sagstetter, Florian, Lukasiewycz, Martin, Steinhorst, Sebastian, Wolf, Marko, Bouard, Alexandre, Peyrin, Thomas, Poschmann, Axel, Chakraborty, Samarjit, Harris, William R., Jha, Somesh.

“…State-of-the-art automotive architectures are highly heterogeneous and complex systems that rely on distributed functions based on electronics and software. As cars are getting more connected with their environment, the vulnerability to attacks is rapidly growing. …”
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Exploratory Study on Customer Requirement in View of Electric Vehicle Development in Malaysia: Electric Vehicles in Malaysia (S/O: 12726) by Ibrahim, Jafni Azhan, Yusoff, Rushami Zien, Osman, Nor Hasni, Mohammed Udin, Zulkifli, Shariff, Kamal Imran, Ahmad, Azhar

“…The aim of this research is to analyze potential car buyers’ awareness towards electric vehicle (EV) and examine the factors that are most likely to affect their choice for EV in Malaysia. …”
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Topic extraction and sentiment analysis of a subreddit (r/coronavirus) by Chong, You Min

“…The coronavirus (COVID-19) pandemic has spread its roots globally since the first outbreak in early 2020, and the first global crisis since SARS in 2002. COVID-19 has negatively impacted the world in more ways than one and has completely changed the way lives are being led. …”
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Unraveling microglial spatial organization in the developing human brain with DeepCellMap, a deep learning approach coupled with spatial statistics by Perochon, T, Krsnik, Z, Massimo, M, Ruchiy, Y, Romero, AL, Mohammadi, E, Li, X, Long, KR, Parkkinen, L, Blomgren, K, Lagache, T, Menassa, DA, Holcman, D

“…Additionally, we uncover an association between microglia and blood vessels in fetal brains exposed to maternal SARS-CoV-2. These findings offer insights into whether various microglial phenotypes form networks in the developing brain to occupy space, and in conditions involving haemorrhages, whether microglia respond to, or influence changes in blood vessel integrity. …”

Safety outcomes following COVID-19 vaccination and infection in 5.1 million children in England by Copland, E, Patone, M, Saatci, D, Handunnetthi, L, Hirst, J, Hunt, DPJ, Mills, NL, Moss, P, Sheikh, A, Coupland, CAC, Harnden, A, Robertson, C, Hippisley-Cox, J

“…An additional 12 (95%CI 0–23) hospitalisations with epilepsy and 4 (95%CI 0–6) with demyelinating disease (in females only, mainly optic neuritis) were estimated per million following a second dose with BNT162b2. SARS-CoV-2 infection was associated with increased risks of hospitalisation from seven outcomes including multisystem inflammatory syndrome and myocarditis, but these risks were largely absent in those vaccinated prior to infection. …”

Ozone reaction with interior building materials: Influence of diurnal ozone variation, temperature and humidity by Rim, Donghyun, Maddalena, Randy L., Nazaroff, William W., Gall, Elliott Tyler

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Inaudible echo-based indoor position recognition by Wong, Alexander Chong Xan

“…An example where accurate indoor localisation would be useful is contact tracing to limit the spread of the SARS-CoV-2 virus amid the Covid-19 pandemic. Prior Research has been conducted in this field, the most noteworthy is RoomRecognise. …”
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TPepRet: a deep learning model for characterizing T-cell receptors–antigen binding patterns by Wang, M, Fan, W, Wu, T, Li, M

“…We have evaluated TPepRet to a range of challenging scenarios, including performance benchmarking against other tools using diverse datasets, analysis of peptide binding preferences, characterization of T cells clonal expansion, identification of true binder in complex environments, assessment of key binding sites through alanine scanning, validation against expression rates from large-scale datasets, and ability to screen SARS-CoV-2 TCRs. The comprehensive results suggest that TPepRet outperforms existing tools. …”

An emerging network for COVID-19 CT-scan classification using an ensemble deep transfer learning model by Yousefpanah, Kolsoum, Ebadi, M. J., Sabzekar, Sina, Zakaria, Nor Hidayati, Osman, Nurul Aida, Ali Ahmadian, Ali Ahmadian

“…The publicly available SARS-CoV-2 CT dataset is utilized for our implementation, including 2481 CT scans. …”

What We Should Do Before the Social Bots Take Over: Online Privacy Protection and the Political Economy of Our Near Future by Graeff, Erhardt

“…U.S. states have passed laws to address self-driving cars on public roads (Marcus 2012). And nearer the subject of this paper, the legality of search engine bots (web crawlers) has been openly questioned on grounds of intellectual property protection and trespassing (Plitch 2002). …”
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Examining the adoption of electromobility concepts across social contexts for energy transition by K?hlke, Julia, Lechowicz, Adam, Fabikun, Oluwole, Bashir, Noman, Souza, Abel, Shenoy, Prashant, Lehnhoff, Sebastian

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An optimal scheduling scheme for electric vehicles in smarts grids by Teh, Xiu Yi

“…Over the past ten years, the use of electric cars has risen rapidly. While charging a huge amount of electric vehicles at the same time or during peak hours might affect the electrical grid because of the sudden surge of electric demand. …”
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