[PDF][PDF] House price prediction using a machine learning model: a survey of literature

NH Zulkifley, SA Rahman, NH Ubaidullah… - International Journal of …, 2020 - academia.edu
Data mining is now commonly applied in the real estate market. Data mining's ability to
extract relevant knowledge from raw data makes it very useful to predict house prices, key …

Improved and Accurate Face Mask Detection Using Machine Learning in the Crowded Places

MN Naik, A Kaur, N Yathiraju, S Das… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Face detection while wearing a mask is used to see whether there are any faces in a photo
or video. Face recognition is a technique for recognizing or validating an individual's …

The Novel E-Way of Identifying the Face Mask and To Ware the System in the Crowd Management System

A Kumar, S Gupta, N Yathiraju… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Since World War II, the Coronavirus has been the most critical charity test the world has
faced. The globe has fought the epidemic with incredible bravery, and the early phases have …

Integration of RFID and image processing for surveillance abased security system

R Pandey, S Saha, N Yathiraju… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Nowadays, practically all colleges and coaching institutions across the globe provide
housing options. There is a huge demand for hostels and PGs since students come from all …

Scavenging carbon deposition on alumina supported cobalt catalyst during renewable hydrogen-rich syngas production by methane dry reforming using artificial …

MA Alsaffar, BV Ayodele, SI Mustapa - Journal of Cleaner Production, 2020 - Elsevier
Methane dry reforming is a thermo-catalytical process that utilizes two principal components
of greenhouse gases for the production of hydrogen-rich syngas. One major shortcoming of …

Artificial neural network based optimal feedforward torque control of interior permanent magnet synchronous machines: A feasibility study and comparison with the …

MA Buettner, N Monzen, CM Hackl - Energies, 2022 - mdpi.com
A novel Artificial Neural Network (ANN) Based Optimal Feedforward Torque Control (OFTC)
strategy is proposed which, after proper ANN design, training and validation, allows to …

Detailed review on Integrated Healthcare Prediction System Using Artificial Intelligence and Machine Learning

D Parasar, A Ali, NM Pillai, A Shahi… - 2023 3rd …, 2023 - ieeexplore.ieee.org
The intricacy and expansion of statistics in increased care sector will lead to an increase in
the application of artificial intelligence (AI). There are several different AI techniques in use …

A machine learning approach for wind speed forecasting

S Krishnaveni, J Singh, K Verma… - 2021 International …, 2021 - ieeexplore.ieee.org
Renewable energy production is increasing worldwide. In all the available renewable
sources of energy wind energy has a major stake after hydro energy. However, intermittent …

Performance analysis of various training algorithms of deep learning based controller

B Prasad, R Kumar, M Singh - Engineering Research Express, 2023 - iopscience.iop.org
Advances in artificial neural networks (ANN), specifically deep learning (DL), have widened
the application domain of process control. DL algorithms and models have become quite …

The block chain technology to protect data access using intelligent contracts mechanism security framework for 5G networks

R Yadav, KK Vaigandla… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
The introduction of the study primarily emphasises the significance of utilising block chain
technologies with the possibility of privacy and security benefits from the 5G Network. One …