Utilities of artificial intelligence in poverty prediction: a review
Artificial Intelligence (AI) is generating new horizons in one of the biggest challenges in the
world's society—poverty. Our goal is to investigate utilities of AI in poverty prediction via …
world's society—poverty. Our goal is to investigate utilities of AI in poverty prediction via …
A review of supervised and unsupervised machine learning techniques for suspicious behavior recognition in intelligent surveillance system
There is a strong demand of smart vision based surveillance system owing to the increase in
crime at a frightening rate at various public places like Banks, Airport, Shopping malls and its …
crime at a frightening rate at various public places like Banks, Airport, Shopping malls and its …
Performance evaluation for a sustainable supply chain management system in the automotive industry using artificial intelligence
O Dumitrascu, M Dumitrascu, D Dobrotǎ - Processes, 2020 - mdpi.com
Increasing the sustainability of a system can be achieved by evaluating the system,
identifying the issues and their root cause and solving them. Performance evaluation …
identifying the issues and their root cause and solving them. Performance evaluation …
Data mining for classification of power quality problems using WEKA and the effect of attributes on classification accuracy
SA Kiranmai, AJ Laxmi - … and Control of Modern Power Systems, 2018 - ieeexplore.ieee.org
There is growing interest in power quality issues due to wider developments in power
delivery engineering. In order to maintain good power quality, it is necessary to detect and …
delivery engineering. In order to maintain good power quality, it is necessary to detect and …
Detection of stroke disease using machine learning algorithms
TI Shoily, T Islam, S Jannat, SA Tanna… - 2019 10th …, 2019 - ieeexplore.ieee.org
A stroke is a medical condition in which poor blood flow to the brain results in cell death. It is
now a day a leading cause of death all over the world. Several risk factors believe to be …
now a day a leading cause of death all over the world. Several risk factors believe to be …
[PDF][PDF] Machine learning approach for bottom 40 percent households (B40) poverty classification
Malaysia citizens are categorised into three different income groups which are the Top 20
Percent (T20), Middle 40 Percent (M40), and Bottom 40 Percent (B40). One of the focus …
Percent (T20), Middle 40 Percent (M40), and Bottom 40 Percent (B40). One of the focus …
Two-stage human activity recognition using 2D-ConvNet
There is huge requirement of continuous intelligent monitoring system for human activity
recognition in various domains like public places, automated teller machines or healthcare …
recognition in various domains like public places, automated teller machines or healthcare …
[PDF][PDF] Classifying cardiotocography data based on rough neural network
Cardiotocography is a medical device that monitors fetal heart rate and the uterine
contraction during the period of pregnancy. It is used to diagnose and classify a fetus state …
contraction during the period of pregnancy. It is used to diagnose and classify a fetus state …
[HTML][HTML] Identification of natural fractures in shale gas reservoirs using fracture signature function and machine learning models
Identifying fractures is important for optimizing recovery and enhancing oil recovery
techniques. Identifying natural fractures using FMI and cores is expensive and unavailable …
techniques. Identifying natural fractures using FMI and cores is expensive and unavailable …
Characterization based machine learning modeling for the prediction of the rheological properties of water-based drilling mud: an experimental study on grass as an …
The successful drilling operation depends upon the achievement of target drilling attributes
within the environmental and economic constraints but this is not possible only on the basis …
within the environmental and economic constraints but this is not possible only on the basis …