过去一年中添加的文章，按日期排序
Deep Learning Techniques to Detect Nutrient Deficiency in Rice Plants
S Supreetha, R Premalathamma… - 2024 International …, 2024 - ieeexplore.ieee.org
59 天前 - … The performance of the predictive models can be greatly … five leading Pretrained
CNN models namely InceptionV3, … WORK The proposed method for predicting rice crop …
CNN models namely InceptionV3, … WORK The proposed method for predicting rice crop …
Sustainable Waste Management with AI: Waste Classification Using Deep Learning and IoT-Based Analysis of CH4 Production
121 天前 - … This approach is used in the model preparation in this … could analyze the type of
waste using our trained CNN model … CNN and loT -based analysis predict whether the waste is …
waste using our trained CNN model … CNN and loT -based analysis predict whether the waste is …
[HTML][HTML] Machine Learning-enhanced loT and Wireless Sensor Networks for predictive analysis and maintenance in wind turbine systems
L Gong, Y Chen - International Journal of Intelligent Networks, 2024 - Elsevier
128 天前 - … Using a tiered approach in handling and analyzing the … This research recommends
an Internet of Things-WSN model for … algorithm and a CNN to improve prediction rates and …
an Internet of Things-WSN model for … algorithm and a CNN to improve prediction rates and …
Design and investigation of small-scale long-distance RF energy harvesting system for wireless charging using CNN, LSTM, and reinforcement learning
H Zhang, Y Wang, HKB Park, TH Sung - Frontiers in Physics, 2024 - frontiersin.org
166 天前 - … devices, Internet of Things (IoT), and mobile devices. … learning methods to the field
of wireless charging. … The table includes performance evaluation metrics of different models …
of wireless charging. … The table includes performance evaluation metrics of different models …
[图书][B] Machine Learning, IoT and Artificial Intelligence for Sustainable Development
166 天前 - … , the IoT has brought an innovative perspective that is totally distinct from the usual
approaches: the former consists of a device that can communicate with the network and is …
approaches: the former consists of a device that can communicate with the network and is …
Predicting and Analyzing IoT Performance Based on Improved Resnet
J Zhang, W Liu - 2023 IEEE 2nd Industrial Electronics Society …, 2023 - ieeexplore.ieee.org
197 天前 - … , and the mobile Internet of Things (IoT) is booming, … prediction method based
on improved residual network is compared with traditional convolutional neural network (CNN…
on improved residual network is compared with traditional convolutional neural network (CNN…
Condition Monitoring of Solar PV System using Different Methods in Varying Environment Condition-A Review
S Mahobiya, J Thankachan - 2023 7th International …, 2023 - ieeexplore.ieee.org
239 天前 - … An ANN method is used to precisely predict the solar … CNN) method is put up
against the current neural network … (WSN) based on the Internet of Things (IOT) is suggested for …
against the current neural network … (WSN) based on the Internet of Things (IOT) is suggested for …
[图书][B] AI and IoT-Based Technologies for Precision Medicine
A Khang - 2023 - books.google.com
248 天前 - … methods were applied to assess lung cancer prediction, such as the deep CNN
algorithm and deep CNN, … The internet of things is a powerful combination of wireless devices, …
algorithm and deep CNN, … The internet of things is a powerful combination of wireless devices, …
Advances in Communication and Applications
NR Shetty, NH Prasad, HC Nagaraj - Proceedings of ERCICA, 2023 - Springer
252 天前 - … This conference will provide a platform for networking of Academicians, Engineers,
and Scientists and also will encourage the participants to undertake high-end research in …
and Scientists and also will encourage the participants to undertake high-end research in …
[图书][B] Advanced Communication and Intelligent Systems: Second International Conference, ICACIS 2023, Warsaw, Poland, June 16–17, 2023, Revised Selected …
256 天前 - … to that, the performance of YOLOv7 and Faster R-CNN with … Convolutional neural
network (CNN) methods, which are … The CNN is used to predict various class probabilities and …
network (CNN) methods, which are … The CNN is used to predict various class probabilities and …