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Titlebook: Advances in Communication, Cloud, and Big Data; Proceedings of 2nd N Hiren Kumar Deva Sarma,Samarjeet Borah,Nitul Dutta Conference proceedi

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41#
發(fā)表于 2025-3-28 16:38:12 | 只看該作者
Lecture Notes in Computer Scienceper focuses on different types of clustering protocols designed in WSNs using Game Theory to combat the problem of energy efficiency. In particular, we address the approaches by which Game Theory has been used in WSNs to improve its network lifetime including the games used in each protocol.
42#
發(fā)表于 2025-3-28 21:38:35 | 只看該作者
Multi-dimensional Process Analysisfore, the survey is organized around two major aspects of robot navigation, i.e. robotics with onboard information and robotics with cloud infrastructure. This paper highlights the change in the technologies for robot navigation and the benefits of cloud infrastructure.
43#
發(fā)表于 2025-3-28 23:45:20 | 只看該作者
44#
發(fā)表于 2025-3-29 07:04:52 | 只看該作者
Simon Razniewski,Marco Montali,Werner Nutt-based methods proposed for land capability classification. The influence of different capability factors and their sources is also discussed. Furthermore, the scopes of present-day GIS and remote sensing technology for land characterization with important terminologies used are also reviewed.
45#
發(fā)表于 2025-3-29 11:17:21 | 只看該作者
Florian Daniel,Jianmin Wang,Barbara Weberrevent collision. Its other applications include speed sensing, predictive crash sensing, collision mitigation, and automatic braking which are addressed in this survey. This paper presents recent approaches done in automotive radar and trend and requirements of autonomous driving.
46#
發(fā)表于 2025-3-29 12:36:15 | 只看該作者
https://doi.org/10.1007/978-3-642-28616-2 IEEE 802.15.4 can act as a suitable MAC protocol for application such as Internet of Things. The paper presents an overview on IEEE 802.15.4 protocol’s working mechanism. Further, the paper also discusses certain issues need to be overcome for successful deployment of IEEE 802.15.4 in Internet of Things (IoT) to get the desired performance.
47#
發(fā)表于 2025-3-29 16:15:45 | 只看該作者
48#
發(fā)表于 2025-3-29 23:33:20 | 只看該作者
https://doi.org/10.1007/978-3-031-16103-2uman visual system and cognition can outperform the performance of computer vision algorithms. The objective of this paper is to highlight the state of the art of various psychological views of human visual perception in computer vision methods that have been found to operate well and that led up to the above-mentioned capabilities.
49#
發(fā)表于 2025-3-30 00:35:57 | 只看該作者
50#
發(fā)表于 2025-3-30 04:13:21 | 只看該作者
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