1 天前 - … effects of cutting-edge IoT technologies like machine learning, deep learning, and
fuzzy … overview of the IoT technology in agriculture, this article reflects on the future impacts of …

2 天前 - … To pick the ideal model for making future predictions, ten classification
algorithms are employed in this case. The following are the steps in producing a model: …

2 天前 - … Deep learning techniques enable processing image and … of technology that
makes use of the IoT adds to the … of the study and provides suggestions for future research. …

5 天前 - … techniques, including artificial intelligence and machine learning, with the Internet
of Things (IoT). The … future perspectives on MRL techniques and applications are highlighted. …

5 天前 - … have been conducted to investigate IDS based on IoT. … future directions for the next
research in IDS techniques. … -fog deep learning-based intrusion detection system that uses …

7 天前 - … deep learning techniques enhance the efficient data processing and intelligent
analysis of complex IoT … Building upon conventional transfer learning methods, we further delve …

7 天前 - … novel, interpretable deep learning architecture designed … efficient deep learning
models for industrial applications. … , our physics-informed merge layer serves as a further tool for …

7 天前 - … their impacts on productivity. Furthermore, we have discussed the future trends and
challenges of IoT … Machine learning usability in IoT applications improves communication …

7 天前 - … vision, there is still ample opportunity for further research and … IoT device
identification classifiers against a spectrum of adversarial attacks. We expand our research scope …

8 天前 - … the IoT for data collection in hydrology. By synthesizing the latest research, this paper
aims to guide future efforts … Machine learning applications in hydrology have been gaining …