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Tools and Techniques for Food Security and Sustainability Related Assessments: A focus on the Data and Food Waste Management System
(
IEOM Society International
, 2020 , Conference Paper)
Achieving global food security requires addressing series of challenges, from food waste accumulation in the food
supply chain (FSC) to tackling the gender disparities and climate-related concerns to promote sustainable ...
Potential of geothermal energy for electricity generation in Qatar
(
Canadian Institute of Mining, Metallurgy and Petroleum
, 2013 , Conference Paper)
There is general acceptance that climate change, which is the most important challenge facing humanity, is anthropogenic and attributed to fossil fuel consumption. Therefore, improving the performance of our existing energy ...
Exploring 2D Representation and Transfer Learning Techniques for People Identification in Indoor Localization
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2023 , Conference Paper)
Indoor localization is a crucial aspect of various disciplines in our daily lives. It enables efficient administration tasks and improves safety by identifying the position of items or people inside spaces, making it useful ...
Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations
(
AAAI Press
, 2018 , Conference Paper)
While peer-agreement and gold checks are well-established methods for ensuring quality in crowdsourced data collection, we explore a relatively new direction for quality control: estimating work quality directly from ...
Hysteresis behaviour of different magnetorheological elastomer models: Modelling and simulation
(
EXTRICA
, 2020 , Conference Paper)
Smart materials are materials by which their properties can be altered due to external stimuli such as temperature, pressure, and magnetic field. Magnetorheological Elastomer (MRE) is a type of smart composite material ...
Estimating Blood Glucose Levels Using Machine Learning Models with Non-Invasive Wearable Device Data
(
IOS Press BV
, 2023 , Conference Paper)
In 2019 alone, Diabetes Mellitus impacted 463 million individuals worldwide. Blood glucose levels (BGL) are often monitored via invasive techniques as part of routine protocols. Recently, AI-based approaches have shown the ...
Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets
(
Association for Computational Linguistics (ACL)
, 2020 , Conference Paper)
The widespread usage of Twitter during emergencies has provided a new opportunity and timely resource to crisis responders for various disaster management tasks. Geolocation information of pertinent tweets is crucial for ...
A study on the design and effectiveness of tactile feedback in sriving simulator
(
IEEE Computer Society
, 2014 , Conference Paper)
Driving simulations are widely used to send navigational and warning information to help drivers navigate safely. The traditional approaches are to use visual and auditory channels which can cause sensory overloading. ...
A Frontier Based Eco-Efficiency Assessment of Electric Vehicles: The Case of European Union Countries Using Mixed and Renewable Sources of Energy
(
IEOM Society
, 2021 , Conference Paper)
Electric vehicles (EVs) are seen as a promising solution for creating more efficient and sustainable transportation systems. European Union (EU) members show a strong interest in implementing EVs, and the governments support ...
3D point cloud enhancement using unsupervised anomaly detection
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2019 , Conference Paper)
3D point cloud is increasingly getting attention for perceiving 3D environment which is needed in many emerging applications. This data structure is challenging due to its characteristics and the limitation of the acquisition ...