Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …
lives, including environmental pollution, public security, road congestion, etc. New …
A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …
advancements during the last decade. The Internet of Medical Things (IoMT) has …
Smart-parking management algorithms in smart city
Recently, various advanced technologies have been employed to build smart cities. Smart
cities aim at improving the quality of life through the delivery of better services. One of the …
cities aim at improving the quality of life through the delivery of better services. One of the …
Microservices in IoT security: current solutions, research challenges, and future directions
In recent years, the Internet of Things (IoT) technology has led to the emergence of multiple
smart applications in different vital sectors including healthcare, education, agriculture …
smart applications in different vital sectors including healthcare, education, agriculture …
Smartwater: A service-oriented and sensor cloud-based framework for smart monitoring of water environments
Due to the sharp increase in global industrial production, as well as the over-exploitation of
land and sea resources, the quality of drinking water has deteriorated considerably …
land and sea resources, the quality of drinking water has deteriorated considerably …
A Metamodeling Approach for IoT Forensic Investigation
The Internet of Things (IoT) Investigation of Forensics (IoTFI) is one of the subdomains of
Digital Forensics that aims to record and evaluate incidents involving the Internet of Things …
Digital Forensics that aims to record and evaluate incidents involving the Internet of Things …
CBiLSTM: A hybrid deep learning model for efficient reputation assessment of cloud services
R Al Saleh, M Driss, I Almomani - IEEE Access, 2022 - ieeexplore.ieee.org
The cloud market is characterized by fierce rivalry among cloud service providers. The
availability of various services with identical functionalities on the market complicates the …
availability of various services with identical functionalities on the market complicates the …
Req-WSComposer: a novel platform for requirements-driven composition of semantic web services
Abstract Service-Oriented Computing (SOC) describes a specific paradigm of computing that
utilizes Web services as reusable components in order to develop new software …
utilizes Web services as reusable components in order to develop new software …
Deep Neural Decision Forest (DNDF): A Novel Approach for Enhancing Intrusion Detection Systems in Network Traffic Analysis
Intrusion detection systems, also known as IDSs, are widely regarded as one of the most
essential components of an organization's network security. This is because IDSs serve as …
essential components of an organization's network security. This is because IDSs serve as …
[PDF][PDF] Intelligent Medical Diagnostic system for hepatitis B
D Singh, D Prashar, J Singla, AA Khan… - … Materials & Continua, 2022 - cdn.techscience.cn
The hepatitis B virus is the most deadly virus, which significantly affects the human liver. The
termination of the hepatitis B virus is mandatory and can be done by taking precautions as …
termination of the hepatitis B virus is mandatory and can be done by taking precautions as …