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Now showing items 21-30 of 71
Offline Pashto Characters Dataset for OCR Systems
(
Hindawi
, 2021 , Article)
In computer vision and artificial intelligence, text recognition and analysis based on images play a key role in the text retrieving process. Enabling a machine learning technique to recognize handwritten characters of a ...
Simulation and impact analysis of behavioral and socioeconomic dimensions of energy consumption
(
Elsevier
, 2022 , Article)
Human-oriented factors present unavoidable challenges and uncertainties in building energy strategic planning. The uncertainties escalate when the target society is not fully known to the decision-maker and can create ...
Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic
(
Springer Nature
, 2023 , Article)
Background: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has ...
Segmenting Liver Volume for Surgical Analysis
(
Qatar University Press
, 2021 , Poster)
Introduction: Almost two million people worldwide die annually due to hepatic-related diseases. Half of these diseases are attributed to cirrhosis and the other half are related to hepatitis and hepatocellular carcinoma ...
Classification of corneal nerve images using machine learning techniques
(
Penerbit UTHM
, 2019 , Article)
Recent research shows that small nerve fiber damage is an early detector of neuropathy. These small nerve fibers are present in the human cornea and can be visualized through the use of a corneal confocal microscope. A ...
Towards a multimodal classification of cultural heritage
(
Hamad bin Khalifa University Press (HBKU Press)
, 2018 , Conference Paper)
The humanity has always learned from the previous experiences and thus for many reasons. The national heritage proves to be a great way to discover and access a nation's history. As a result, these priceless cultural items ...
Auto-nahl: A neural network approach for condition-based maintenance of complex industrial systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states ...
Field data forecasting using lstm and bi-lstm approaches
(
MDPI
, 2021 , Article)
Water, an essential resource for crop production, is becoming increasingly scarce, while cropland continues to expand due to the world's population growth. Proper irrigation scheduling has been shown to help farmers improve ...
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
(
Elsevier
, 2021 , Article)
This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected ...
Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
(
Elsevier
, 2021 , Article Review)
Enormous amounts of data are being produced everyday by sub-meters and smart sensors installed in residential buildings. If leveraged properly, that data could assist end-users, energy producers and utility companies in ...