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Titlebook: Orchid Biology: Recent Trends & Challenges; Shaik Mahammad Khasim,Sadanand Nagesh Hegde,Kanchi Book 2020 Springer Nature Singapore Pte Ltd

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51#
發(fā)表于 2025-3-30 10:02:15 | 只看該作者
Kullaiyan Sathiyadash,Thangavelu Muthukumar,Velusamy Karthikeyan,Kuppu Rajendran
52#
發(fā)表于 2025-3-30 16:08:11 | 只看該作者
53#
發(fā)表于 2025-3-30 17:19:52 | 只看該作者
ntroduction, the aim is to “screen practices”, that is, to be attentive to doubts, to uncertainty as much as to ways of working, to look at trial and error and the makeshift solutions enabling participants to overcome hardships and help their cause and their conception of social justice to progress.
54#
發(fā)表于 2025-3-30 23:33:05 | 只看該作者
55#
發(fā)表于 2025-3-31 01:56:12 | 只看該作者
Kanchit Thammasirithe test data of spacecraft data management. The data is hashed through partitioning process feedback to ensure the bias balance of queue hashing. The dynamic partitioning method ensures that the partition fragmentation is controllable and the number of partitions is reduced. It improves the speed o
56#
發(fā)表于 2025-3-31 05:35:50 | 只看該作者
Sadanand N. Hegdespacecraft is designed based on the space Ethernet switch and the space-ground gateway. And the error-control mechanism of application layer, the IP package partition strategy of data link layer and the cable layout method of physical layer has been proposed to optimize the TCP/IP protocols used in
57#
發(fā)表于 2025-3-31 10:53:21 | 只看該作者
María Teresa González-Arnao,Fabiola Hernández-Ramírez,Natalia Raquel Dolce,Martha P. Rascón-Díaz,Carvel satellite beam scheduling strategy based on multi-agent reinforcement learning that aims to maximize system performance. Each satellite is regarded as an individual agent, and the decision is to provide communication beam for the current hot spot area. Compared with the beam allocation algorithm
58#
發(fā)表于 2025-3-31 15:59:41 | 只看該作者
59#
發(fā)表于 2025-3-31 20:46:26 | 只看該作者
Mantana Buanong,Apiradee Uthairatanakijvel satellite beam scheduling strategy based on multi-agent reinforcement learning that aims to maximize system performance. Each satellite is regarded as an individual agent, and the decision is to provide communication beam for the current hot spot area. Compared with the beam allocation algorithm
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