补给线
发表于 2025-3-21 17:31:20
书目名称Next Generation Systems and Networks影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0666236<br><br> <br><br>书目名称Next Generation Systems and Networks影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0666236<br><br> <br><br>书目名称Next Generation Systems and Networks网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0666236<br><br> <br><br>书目名称Next Generation Systems and Networks网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0666236<br><br> <br><br>书目名称Next Generation Systems and Networks被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0666236<br><br> <br><br>书目名称Next Generation Systems and Networks被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0666236<br><br> <br><br>书目名称Next Generation Systems and Networks年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0666236<br><br> <br><br>书目名称Next Generation Systems and Networks年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0666236<br><br> <br><br>书目名称Next Generation Systems and Networks读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0666236<br><br> <br><br>书目名称Next Generation Systems and Networks读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0666236<br><br> <br><br>
Connotation
发表于 2025-3-21 21:05:08
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慢跑鞋
发表于 2025-3-22 04:14:02
Nature-Inspired Optimization Algorithm-Assisted Optimal Sensor Node Positioning for Precision Agricsing nodes on the field. This is done by minimizing an innovatively designed cost function which is an indication of the un-scrutinized field area and overlapping coverage area of the sensor nodes. Five different nature-inspired optimization algorithms are applied in this paper for the said task, an
AWL
发表于 2025-3-22 05:16:11
Stock Price Prediction Using GRU and BiLSTM Models,d comparing the performances of both models to predict future stock prices. The experiments were carried out using a freely available dataset of stock market, which contained the stock prices of various companies. It was observed that the BiLSTM model performed better than the GRU model. However, GR
无情
发表于 2025-3-22 11:41:45
Intelligent Cost Estimation Engine for EV Charging Stations: A Deep Learning-Based Approach,-driven and deep learning-based intelligent cost estimation engine proposed here will leverage the IOT connectivity for EV to forecast the load demand at charging station and efficient price estimation for EV charging. EV will provide details like battery state parameters and user historical data, e
现任者
发表于 2025-3-22 15:01:24
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CODA
发表于 2025-3-22 19:51:46
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CRUE
发表于 2025-3-23 00:08:48
Sonar Signal Prediction Using Explainable AI for IoT Environment,ed to convert them into a glass box with the help of explainable AI. In this research, we have developed a model that can not only classify the sonar signals but also explain the predictions given by the model. These predictions can then be used for making business decisions and further help the dev
Motilin
发表于 2025-3-23 03:08:26
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星星
发表于 2025-3-23 06:35:28
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