[HTML][HTML] A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends
A Saranya, R Subhashini - Decision analytics journal, 2023 - Elsevier
Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …
solve common real-world problems. Machine learning and deep learning are Artificial …
Recent advancements in emerging technologies for healthcare management systems: a survey
In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and
Blockchain technologies have quickly gained pace as a new study niche in numerous …
Blockchain technologies have quickly gained pace as a new study niche in numerous …
[HTML][HTML] Utilization of mobile edge computing on the Internet of Medical Things: A survey
Abstract Internet of Things (IoT) enables different smart environment objects to communicate
without involving humans. Recently, IoT has started a new challenge within the healthcare …
without involving humans. Recently, IoT has started a new challenge within the healthcare …
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows
tremendous growth in the medical field. Medical images are considered as the actual origin …
tremendous growth in the medical field. Medical images are considered as the actual origin …
Secure internet of things (IoT) using a novel brooks Iyengar quantum byzantine agreement-centered blockchain networking (BIQBA-BCN) model in smart healthcare
Z Zhao, X Li, B Luan, W Jiang, W Gao… - Information Sciences, 2023 - Elsevier
Abstract Smart Health Care offers efficient, sustainable, along with real-time human services,
and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart …
and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart …
Towards secure and intelligent internet of health things: A survey of enabling technologies and applications
With the growth of computing and communication technologies, the information processing
paradigm of the healthcare environment is evolving. The patient information is stored …
paradigm of the healthcare environment is evolving. The patient information is stored …
A machine learning-based intrusion detection system for iot electric vehicle charging stations (evcss)
The demand for electric vehicles (EVs) is growing rapidly. This requires an ecosystem that
meets the user's needs while preserving security. The rich data obtained from electric …
meets the user's needs while preserving security. The rich data obtained from electric …
A predictive target tracking framework for IoT using CNN–LSTM
This paper addresses the issue of tracking a mobile target, through a data-driven active
sensor selection mechanism in the Internet of Things (IoT) sensing applications. IoT …
sensor selection mechanism in the Internet of Things (IoT) sensing applications. IoT …
A Deep Learning Approach for Predictive Healthcare Process Monitoring
In this paper, we propose a deep learning-based approach to predict the next event in
hospital organizational process models following the guidance of predictive process mining …
hospital organizational process models following the guidance of predictive process mining …
Intrusion detection for electric vehicle charging systems (evcs)
The market for Electric Vehicles (EVs) has expanded tremendously as seen in the recent
Conference of the Parties 27 (COP27) held at Sharm El Sheikh, Egypt in November 2022 …
Conference of the Parties 27 (COP27) held at Sharm El Sheikh, Egypt in November 2022 …