2 days ago · In this work, we tackle the emerging anomaly detection problem in IoT using Artificial. Intelligence, more precisely a deep learning scheme called Convolutional ...

2 days ago · Objective. The purpose of the paper is to analyse software that supports DDoS attacks in IoT networks. Provide general recommendations to help improve ...

2 days ago · PDF | This paper proposes an attention-based convolutional neural network (ABCNN) for intrusion detection in the Internet of Things (IoT). The proposed.

2 days ago · For this reason, the current study aims to build a text-to-text bot using Dialog flow which will communicate with the patients about their health issues and ...

6 days ago · A Review of Data Access Optimization Techniques in a Distributed Database Man... ... datasets from different industry domains like Financial, IoT, and Analysis.

18 hours ago · Big data analysis uses statistical, algebraic, probability, and artificial intelligence (AI) concepts. Explained AI (XAI) is a process to explain the reason for ...

6 days ago · The proposed framework was evaluated with the unstructured COVID-19 medical chest x-rays and MNIST digit datasets, and the structured BoT-IoT dataset. The ...

1 day ago · Here, the methodology consisted of conducting a detailed review of the literature in which ML techniques have been adopted in biometrics. In this study, we ...

5 days ago · Analyzing data from millions of IoT sensors deployed in millions of buildings, AI can elevate property management. This allows for predictive maintenance ...

5 days ago · Explore the top challenges in IoT data management, from scalability and security to interoperability and real-time processing. Learn how businesses navigate ...