SPIR
发表于 2025-3-21 16:59:55
书目名称Optimal Mixture Experiments影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0702897<br><br> <br><br>书目名称Optimal Mixture Experiments影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0702897<br><br> <br><br>书目名称Optimal Mixture Experiments网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0702897<br><br> <br><br>书目名称Optimal Mixture Experiments网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0702897<br><br> <br><br>书目名称Optimal Mixture Experiments被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0702897<br><br> <br><br>书目名称Optimal Mixture Experiments被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0702897<br><br> <br><br>书目名称Optimal Mixture Experiments年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0702897<br><br> <br><br>书目名称Optimal Mixture Experiments年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0702897<br><br> <br><br>书目名称Optimal Mixture Experiments读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0702897<br><br> <br><br>书目名称Optimal Mixture Experiments读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0702897<br><br> <br><br>
FATAL
发表于 2025-3-21 21:40:49
B. K. Sinha,N. K. Mandal,Manisha Pal,P. Dasfe and minimizes energy consumption for an underwater sensor network. The optimization algorithm uses the following state parameters to estimate network lifetime: (1) internode distance; (2) transmission frequency; (3) sampling frequency; and (4) number of descendants in the routing tree. Transmissi
杀菌剂
发表于 2025-3-22 02:32:19
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GAVEL
发表于 2025-3-22 05:45:23
B. K. Sinha,N. K. Mandal,Manisha Pal,P. Dasfe and minimizes energy consumption for an underwater sensor network. The optimization algorithm uses the following state parameters to estimate network lifetime: (1) internode distance; (2) transmission frequency; (3) sampling frequency; and (4) number of descendants in the routing tree. Transmissi
带伤害
发表于 2025-3-22 10:20:39
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浅滩
发表于 2025-3-22 13:03:11
B. K. Sinha,N. K. Mandal,Manisha Pal,P. Dasases for expanded cross-layer state representations. The experiments also reveal that all state representations in Jurdak’s framework reduce global energy consumption in the range of one-third for a time-driven monitoring network, and in the range of one-fifth for an event-driven target tracking net
Cubicle
发表于 2025-3-22 18:02:32
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molest
发表于 2025-3-22 23:38:51
B. K. Sinha,N. K. Mandal,Manisha Pal,P. Dasases for expanded cross-layer state representations. The experiments also reveal that all state representations in Jurdak’s framework reduce global energy consumption in the range of one-third for a time-driven monitoring network, and in the range of one-fifth for an event-driven target tracking net
制定法律
发表于 2025-3-23 03:06:13
B. K. Sinha,N. K. Mandal,Manisha Pal,P. Dasases for expanded cross-layer state representations. The experiments also reveal that all state representations in Jurdak’s framework reduce global energy consumption in the range of one-third for a time-driven monitoring network, and in the range of one-fifth for an event-driven target tracking net
Ascendancy
发表于 2025-3-23 08:17:19
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