Nonchalant 发表于 2025-3-21 17:11:37
书目名称Advances in Engineering and Information Science Toward Smart City and Beyond影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0147979<br><br> <br><br>书目名称Advances in Engineering and Information Science Toward Smart City and Beyond影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0147979<br><br> <br><br>书目名称Advances in Engineering and Information Science Toward Smart City and Beyond网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0147979<br><br> <br><br>书目名称Advances in Engineering and Information Science Toward Smart City and Beyond网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0147979<br><br> <br><br>书目名称Advances in Engineering and Information Science Toward Smart City and Beyond被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0147979<br><br> <br><br>书目名称Advances in Engineering and Information Science Toward Smart City and Beyond被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0147979<br><br> <br><br>书目名称Advances in Engineering and Information Science Toward Smart City and Beyond年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0147979<br><br> <br><br>书目名称Advances in Engineering and Information Science Toward Smart City and Beyond年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0147979<br><br> <br><br>书目名称Advances in Engineering and Information Science Toward Smart City and Beyond读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0147979<br><br> <br><br>书目名称Advances in Engineering and Information Science Toward Smart City and Beyond读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0147979<br><br> <br><br>Urgency 发表于 2025-3-21 23:14:45
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Carlos Moreno-Yruela,Christian A. Olsenless communication experiment to emulate the communication between drones and ground devices. Third, we conducted a monitoring experiment by capturing 4K 360-degree photos and videos from a drone and streaming the video from the drone to the ground user.inveigh 发表于 2025-3-22 18:09:55
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Chemical Equilibria in Analytical Chemistrych results in degradation of the performance of monitoring moving objects at the intersection. Therefore, we need to take such deterioration into account when we train machine learning models for object detection. The proposed system constructs a conversion modelfor data obtained without a window. Bjaundiced 发表于 2025-3-23 02:54:55
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