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ties » times (Expand Search), lies (Expand Search)
line » life (Expand Search), like (Expand Search), link (Expand Search)
per » peer (Expand Search)
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Using a Time Timer™ to increase appropriate waiting behavior in a child with developmental disabilities
Published 2009“…This study aimed to examine the use of a predictive stimulus (Time Timer™) and delayed reinforcement to increase appropriate waiting behavior in a child with developmental disabilities and problem behavior maintained by access to tangible items and activities. …”
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Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach
Published 2025“…<p dir="ltr">With the rapid amount of deforestation around the world, wild animals lose their habitat and move closer to human settlements, leading to increased human-wildlife conflict and the loss of important human lives, livestock, and rare wild animal species. …”
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From Waste Reduction to Worker Comfort: Leveraging Lean Manufacturing and Ergonomics in Textiles Sewing Industries in UAE
Published 2024“…By streamlining processes, reducing lead times, and increasing efficiency, organizations can produce more output with the same or fewer resources. …”
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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
Published 2024“…This study aimed to model past, present, and future LULCC on Land Surface Temperatures in the Greater Amman Municipality (GAM) in Jordan between 1980 and 2030. …”
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Just-in-time defect prediction for mobile applications: using shallow or deep learning?
Published 2023“…<p dir="ltr">Just-in-time defect prediction (JITDP) research is increasingly focused on program changes instead of complete program modules within the context of continuous integration and continuous testing paradigm. …”
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Behavior of FRP-RC Columns Using BFRP Ties under Concentric Loading
Published 2019Get full text
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From time-series to 2D images for building occupancy prediction using deep transfer learning
Published 2023“…The proposed scheme transforms multivariate time-series data into images for better encoding and extracting relevant features. …”
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Cardiac phosphodiesterases are differentially increased in diabetic cardiomyopathy
Published 2021“…Significance We show for the first time differential and time-specific regulations in cardiac PDEs, data that may prove useful in proposing new therapeutic approaches in T1D-induced DCM.…”
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Hand-Crafted Features With A Simple Deep Learning Architecture For Sensor-Based Human Activity Recognition
Published 2024“…This research presents a novel sensor-based human activity recognition system that utilizes a unique feature extraction technique associated with a deep learning method for classification. One of the main contributions of this work is dividing the sensor sequences time-wise into non-overlapping 2D segments. …”
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Transmission Line Fault Location Using Unsynchronized Measurements
Published 2013Get full text
doctoralThesis -
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ON-LINE MEASUREMENTS OF OXIDATION OF CARBON USING VISIBLE SPECTROSCOPY
Published 2020“…The results may be of particular interest in monitoring catalyst regeneration on-line as well as environmental monitoring of CO.…”
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Distribution network line protection in the presence of distributed generation
Published 2015“…Employing these methods in the planning and operating stages, it will be possible to increase the amount of DGs that can be connected to the distribution network, while avoiding cascading faults, slower operation times and the unnecessary loss of load associated with protection mal-operation. …”
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The Role of Project Management Soft Skills in Increasing Project Success
Published 2017“…As the world economy shifts towards an increasingly globalised market, the degree of competition becomes a more significant challenge which organisations face. …”
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Product Analysis of Supercritical Fischer-Tropsch Synthesis: Utilizing a Unique On-Line and Off-Line Gas Chromatographs Setup in a Bench-Scale Reactor Unit
Published 2015“…The first was through retention time matching by injecting standard solutions, and the second was through the use of the GC/MS system. …”
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Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures
Published 2023“…To address these issues, we propose a deep learning-based novel method to detect cybersecurity vulnerabilities and breaches in cyber-physical systems. …”