2 天前 - … Utilizing deep learning algorithms, the system could learn and understand the
characteristics of different agricultural products and accurately identify potential safety issues, … into …

2 天前 - … and the integration of AI into the ability to predict maintenance, … and the usage of
machine learning models can enhance … is to work towards solving the security issues in IoT …

2 天前 - … information, which causes security issues. Several intrusion … The DL (Deep Learning)
technique was used to detect the … , blockchain technology is integrated into the logistical …

4 天前 - … the security and privacy challenges hindering the total adoption of the IoT in our
technology-… Supervised learning models can then classify these anomalies into specific types of …

4 天前 - … the importance of employing deep learning techniques for DDoS detection and
defense … multiclass classification challenge, we employed an OvR strategy to transform it into a …

5 天前 - … as machine learning and deep learning … into the intricate integration of cloud, IoT,
artificial intelligence, and big data, shedding light on emerging challenges and research issues…

5 天前 - … machine learning methodologies employed in IoT security… The present paper
examines the particular security issues … to offer thorough insights into the most recent methods and …

5 天前 - … Major articles taken into consideration in this review were from the year 2023, followed
… the CNN technique for handling complex security issues in networks by using the CSE-…

5 天前 - … using provable and empirical machine learning-based … provable attacks requiring
only challenge-response pairs, … formal insight into the impact of various design strategies on …

5 天前 - … layer security techniques to advanced cryptographic methods and machine learning
… Like other networks, security issues in WSN can be summarized into data confidentiality…