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Titlebook: Computational Intelligence and Sustainable Systems; Intelligence and Sus H. Anandakumar,R. Arulmurugan,Chow Chee Onn Book 2019 Springer Nat

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樓主: 冰凍
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發(fā)表于 2025-3-28 15:46:17 | 只看該作者
42#
發(fā)表于 2025-3-28 19:37:16 | 只看該作者
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發(fā)表于 2025-3-29 01:25:49 | 只看該作者
44#
發(fā)表于 2025-3-29 07:04:46 | 只看該作者
Book 2019ent Computing and Sustainable System (ICICSS 2018), September 20-21, 2018, and other accepted papers on R&D and original research work related to the practice and theory of technologies to enable and support Intelligent Computing applications..
45#
發(fā)表于 2025-3-29 08:39:20 | 只看該作者
46#
發(fā)表于 2025-3-29 12:05:28 | 只看該作者
Aspect-Based Text Summarization Using MapReduce Optimization,rization system is provided along with the proposed MapReduce based on node optimization algorithm. The system uses MapReduce framework and an in-node mapper, reducer algorithm is devised for generating summaries. The accuracy of the system-generated summary is better than existing MapReduce-based summarization systems.
47#
發(fā)表于 2025-3-29 16:33:01 | 只看該作者
48#
發(fā)表于 2025-3-29 21:45:04 | 只看該作者
Genetic effects of ionizing radiations,uce delay, and creating dual-port random access memory to reduce area. As our experimental results show, the proposed framework successfully overcame issues with area and delay when the proposed schema were successfully synthesized using AltraQuartusII tools.
49#
發(fā)表于 2025-3-30 01:18:55 | 只看該作者
https://doi.org/10.1007/978-3-642-82229-2he one-word communication (e.g., panic, help, and struggle). Instead of using wired communication or mobile communication, the radio-frequency (RF) signal for communication is utilized. The main objective of the paper is to make a device which is placed on a lamppost each having 20-m distance.
50#
發(fā)表于 2025-3-30 04:03:22 | 只看該作者
https://doi.org/10.1007/978-3-642-82229-2dditionally the system has been designed with web interface and data visualization, enabling people to obtain the real-time environmental information to take better decisions for plant growth and environmental management. Finally we highlight the accuracy of results of prediction data which is approximately 99.13%.
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