Study of metal-organic framework MIL-101(Cr) for natural gas (methane) storage and compare with other MOFs (metal-organic frameworks) by Kayal, Sibnath, Sun, Baichuan, Chakraborty, Anutosh

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Graph neural network for traffic forecasting: the research progress by Jiang, Weiwei, Luo, Jiayun, He, Miao, Gu, Weixi

“…Recently, graph neural networks (GNNs) have emerged as state-of-the-art traffic forecasting solutions because they are well suited for traffic systems with graph structures. …”
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Rapid and robust background modeling technique for low-cost road traffic surveillance systems by Garg, Kratika, Ramakrishnan, Nirmala, Prakash, Alok, Srikanthan, Thambipillai

“…The state-of-the-art techniques typically employ background modeling for low-complexity foreground detection. …”
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Uncertainty-aware model-based reinforcement learning: methodology and application in autonomous driving by Wu, Jingda, Huang, Zhiyu, Lv, Chen

“…The proposed method is then implemented in end-to-end autonomous vehicle control tasks, validated and compared with state-of-the-art methods under various driving scenarios. …”
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Carbon nanotube-Yttrium iron garnet nanohybrid synthesized via chemical vapor deposition and its potential application in fabricated screen-printed patch antenna by Hasan, Intan Helina, Ismail, Ismayadi, Hamidon, Mohd Nizar, Mustaffa, Muhammad Syazwan, Abdullah, Nor Hapishah, Shafiee, Farah Nabilah

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Achieving secure and privacy-preserving incentive in vehicular cloud advertisement dissemination by Kong, Qinglei, Lu, Rongxing, Zhu, Hui, Ma, Maode

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Sensor fusion for object detection under adverse weather by Soh, Brandon Jian Zheng

“…Autonomous vehicles (AVs) have rapidly emerged as one of the most rapidly advancing technologies in the realm of transportation. …”
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Enhancing automotive embedded systems with FPGAs by Shanker, Shreejith

“…Modern vehicles represent a complex distributed cyber-physical system that simultaneously handles critical functions like drive-by-wire systems, non-critical functions like window/door control, and compute intensive multimedia functions. …”
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An analysis of pedestrian preferences for wayfinding signage in urban settings: evidence from Nanning, China by Zhou, Jialu, Ujang, Norsidah

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Incremental route inference from low-sampling GPS data : an opportunistic approach to online map matching by Luo, Linbo, Hou, Xiangting, Cai, Wentong, Guo, Bin

“…With the surging of smart device sensing and mobile networking, GPS data has been widely available for identifying vehicle position and route on the road map. For many real-time applications, such as traffic sensing and route recommendation, it is critical to immediately infer travelling route with incoming GPS data. …”
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Human learning principles inspired particle swarm optimization algorithms by Muhammad Rizwan Tanweer

“…Next, the application of DD-SRPSO-CHM in optimizing multi-stage launch vehicle configuration has been studied. In a multi-stage launch vehicle configuration, the multiple objectives are converted into a single objective with constraints and these are efficiently handled by DD-SRPSO-CHM. …”
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Smart grid to energy internet : a systematic review of transitioning electricity systems by Joseph, Akhil, Balachandra, Patil

“…Secondly, a systematic review of literature related to state-of-the-art of Energy Internet is performed to outline its structure, operational features and energy market mechanisms. …”
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Experimental Evaluation of Underwater Semantic SLAM by Song, Thomas Jeongho

“…Autonomy is crucial for underwater vehicles due to the challenging and inaccessible nature of underwater environments. …”
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An analysis on the traffic processing efficiency of a combination of serial and parallel bottlenecks by Quek, Wei-Liang, Chung, Ning Ning, Chew, Lock Yue

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Lane-aware image enhancement for lane detection in rain (part B - communications) by Tian, Zichen

“…Auto-driving cars utilize in-vehicle cameras to capture the surrounding environment images and use algorithms to extract useful information from images. …”
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Low-power high-performance SAR ADC with redundancy and digital error-correction by Sharma, Sunny

“…Applications such as vehicle-to-everything (V2X) communication, wireless internet of things, test systems, etc., benefit from high-speed and high resolution ADCs. …”
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Learning-enabled decision-making for autonomous driving: framework and methodology by Huang, Zhiyu

“…The growing adoption of autonomous vehicles (AVs) holds the promise of transforming transportation systems, enhancing traffic safety, and supporting environmental sustainability. …”
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Neural combinatorial optimization: from routing to integer programming by Wu, Yaoxin

“…We deploy the method to solve two classic routing problems, i.e., travelling salesman problem (TSP) and capacitated vehicle routing problem (CVRP). Results show that the proposed method outperforms state-of-the-art learning based methods. …”
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Clustering-based solutions for energy efficiency, adaptability and resilience in IoT networks by Shivaraman, Nitin

“…We also tested our solution on a real-world electric vehicle dataset and found a 57% improvement in the achieved utility compared to other scheduling solutions such as earliest deadline first or highest-energy demand scheduling. …”
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Global research trend of sustainable transport in response to energy efficiency: A bibliometric analysis by Maryam Jamilah, Asha’ari, Salina, Daud, Kasavan, Saraswathy, Wan Mohammad Taufik, Wan Abdullah, Siti Indati, Mustapa, Rajadurai, Jegatheesan, Nurul Nadiah, Ahmad, Wan Noordiana, Wan Hanafi, Siti Norhidayah, Toolib, Mohamed Azrin, Mohamed Ali

“…A bibliometric analysis was conducted to explore the global research trends to determine the state-of-the-art sustainable transport linked to energy efficiency over the past 21 years. …”
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