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Now showing items 838-857 of 48322
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A LASSO-BASED DEA FOR ECO-EFFICIENCY PERFORMANCE ASSESSMENT FOR THE GLOBAL FOOD AND BEVERAGES INDUSTRY
(2022 , Master Thesis)Sustainable food systems are essential to secure food and nutrition for society and preserve the economic, social, and environmental aspects. A sustainable food system has become a significant demand for survival due to ... -
A learning factory: Enhancing societal needs awareness and innovation through manufacturing class
( Hamad bin Khalifa University Press (HBKU Press) , 2015 , Article)The manufacturing course is a common course in most Mechanical and Industrial Engineering programs around the world. In this course, various aspects of product design and manufacturing process selection are discussed. ... -
A lifted compact formulation for the daily aircraft maintenance routing problem
( INFORMS Inst.for Operations Res.and the Management Sciences , 2013 , Article)Given a set of flights for a specific fleet type the aircraft routing problem (ARP) determines the flying sequence for each individual aircraft while incorporating specific considerations of minimum turn time maintenance ... -
A light lexicon-based mobile application for sentiment mining of arabic tweets
( Association for Computational Linguistics (ACL) , 2015 , Conference Paper)Most advanced mobile applications require server-based and communication. This often causes additional energy consumption on the already energy-limited mobile devices. In this work, we provide to address these limitations ... -
A Lightweight Central Learning Approach for Arrhythmia Detection from ECG Signals
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)With the development of Internet-of-Things (IoT) applications, the concept of smart healthcare applications has gradually emerged to be the main factor in medicine. In fact, this raises the need to have a secure system ... -
A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images
( MDPI , 2023 , Article)Computerized brain tumor classification from the reconstructed microwave brain (RMB) images is important for the examination and observation of the development of brain disease. In this paper, an eight-layered lightweight ... -
A literature-based algorithm for the assessment, management, and monitoring of drug-induced QTc prolongation in the psychiatric population
( Dove Medical Press Ltd. , 2019 , Article Review)Background: Certain psychotropics and a number of other medications used to treat medical conditions in psychiatric patients can increase the risk of prolonging the corrected QT (QTc) interval on the electrocardiogram, ... -
A longitudinal analysis of the effect of maternal region-of-birth on transitions in children's bodyweight status from early childhood to late adolescence in Australia: A population-based cohort study
( Elsevier , 2021 , Article)Although 49% of Australian residents have at least one overseas-born parent, little is known about children's longitudinal bodyweight transitions among the migrant population. This study examines the net associations between ... -
A longitudinal study of e-government maturity
( Elsevier B.V. , 2017 , Article)We assembled a panel data set for the period 2002-2008 and fitted a mixed-effects regression model to study how the maturity of e-Government around the globe was influenced by changing levels of affluence, information ... -
A Low Noise Capacitive Electromyography Monitoring System for Remote Healthcare Applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Remote healthcare monitoring (RHM) is an emerging trend in the biomedical field that leverages on the advancement of Internet of Things (IoT) to enhance the coverage of healthcare services around the world. An RHM system ... -
A low power oscillator based temperature sensor for RFID applications
( IEEE Computer Society , 2013 , Conference Paper)In this paper we present a temperature sensor based on a ring oscillator. The ring oscillator uses the CMOS thyristor delay element and has an extremely low power consumption of about 47nW at room temperature with a supply ... -
A Low Power Reconfigurable Multi-sensing Platform For Gas Application
( Hamad bin Khalifa University Press (HBKU Press) , 2014 , Conference Paper)Presence of toxic gases and accidental explosions in gas industries have turned the researcher to innovate an electronic nose system which can indicate the nature and the parameters of the gas passing through different ... -
A low power temperature sensor based on a voltage to time converter cell
( IEEE , 2013 , Conference Paper)In this paper we propose a temperature sensor, based on a voltage to time converter cell (VTC). A VTC is frequently employed in time to digital converters for generating a delay that is proportional to the input voltage. ... -
A low-cost closed-loop solar tracking system based on the sun position algorithm
( Hindawi Limited , 2019 , Article)Sun position and the optimum inclination of a solar panel to the sun vary over time throughout the day. A simple but accurate solar position measurement system is essential for maximizing the output power from a solar panel ... -
A low-cost test rig for impact experiments on a dummy head
( Elsevier Ltd , 2019 , Article)Anthropomorphic test dummies are commonly used to evaluate the potential harm to humans due to dangerous scenarios, such as that due to car accidents. Furthermore, they have been used in sports to evaluate the efficacy of ... -
A machine learning approach of load balance routing to support next-generation wireless networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)With the development of Next-generation Wireless Networks (NWNs), delay-sensitive traffic triggered by mobile applications (such as video stream and online games) will become an important part of the NWNs. With the increasing ... -
A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)In light of the advancement of the technologies used in industrial control systems, securing their operation has become crucial, primarily since their activity is consistently associated with integral elements related to ... -
A machine learning framework for enhancing digital experiences in cultural heritage
( Emerald Group Publishing Ltd. , 2020 , Article)Purpose: Digital tools have been used to document cultural heritage with high-quality imaging and metadata. However, some of the historical assets are totally or partially unlabeled and some are physically damaged, which ... -
A machine learning-based optimization approach for pre-copy live virtual machine migration
( Springer , 2023 , Article)Organizations widely use cloud computing to outsource their computing needs. One crucial issue of cloud computing is that services must be available to clients at all times. However, the cloud services may be temporarily ... -
A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument
( MDPI , 2023 , Article)Diabetic sensorimotor polyneuropathy (DSPN) is a serious long-term complication of diabetes, which may lead to foot ulceration and amputation. Among the screening tools for DSPN, the Michigan neuropathy screening instrument ...
