A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system
The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …
Green IoT: A review and future research directions
The internet of things (IoT) has a significant economic and environmental impact owing to
the billions or trillions of interconnected devices that use various types of sensors to …
the billions or trillions of interconnected devices that use various types of sensors to …
Sixth generation (6G) wireless networks: Vision, research activities, challenges and potential solutions
The standardization activities of the fifth generation communications are clearly over and
deployment has commenced globally. To sustain the competitive edge of wireless networks …
deployment has commenced globally. To sustain the competitive edge of wireless networks …
A survey on providing customer and public administration based services using AI: chatbot
A chatbot is emerged as an effective tool to address the user queries in automated, most
appropriate and accurate way. Depending upon the complexity of the subject domain …
appropriate and accurate way. Depending upon the complexity of the subject domain …
Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization
Today artificial intelligence is a major utility technology that can help industry and research
in many fields, including solar thermal energy for water desalination purposes. Hence, the …
in many fields, including solar thermal energy for water desalination purposes. Hence, the …
Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends
Abstract The Internet of Vehicles (IoV) and Vehicle‐to‐Everything (V2X) concept have
emerged from IoT technology, which refers to connecting many vehicles with various …
emerged from IoT technology, which refers to connecting many vehicles with various …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …
protection, economic benefits, and clean energy generation for future commercial …
Selecting an appropriate supervised machine learning algorithm for predictive maintenance
A Ouadah, L Zemmouchi-Ghomari, N Salhi - The International Journal of …, 2022 - Springer
Predictive maintenance refers to predicting malfunctions using data from monitoring
equipment and process performance measurements. Machine learning algorithms and …
equipment and process performance measurements. Machine learning algorithms and …
Future wireless communication technology towards 6G IoT: An application-based analysis of IoT in real-time location monitoring of employees inside underground …
In recent years, the IoT has emerged as the most promising technology in the key evolution
of industry 4.0/industry 5.0, smart home automation (SHA), smart cities, energy savings and …
of industry 4.0/industry 5.0, smart home automation (SHA), smart cities, energy savings and …