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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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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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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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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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Time to diagnose and time to surgery in patients presenting with necrotizing fasciitis: a retrospective analysis
Published 2025“…In contrast, delayed diagnosis (TTD > 6 h) was significantly associated with increased mortality, regardless of the TTS.</p><h3>Conclusion</h3><p dir="ltr">Timely diagnosis within 6 h is crucial for improving outcomes in NF. …”
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Revisiting leishmaniasis in the time of war
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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. …”
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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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Examining time-to-transport decisions in Emergency Medical Services
Published 2024“…The Schoenfeld plot (Figure 2) demonstrates that multiple variables have a significant impact on increasing the time-to-handover.</p><h3>Conclusion</h3><p dir="ltr">The study elucidates and clarifies key factors affecting time-to-transport in EMS, underscoring a decline in transport success rates as time on scene lengthens. …”
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Coping mechanisms among Lebanese first-time college students
Published 2012“…As the usage of withdrawal coping strategies, being exposed to stress related to self and uncertainty increased, the well-being of Lebanese first-time college students decreased. …”
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Landslide detection in real-time social media image streams
Published 2023“…In contrast, as a non-traditional data source, social media has been increasingly used in many disaster response and management studies in recent years. …”
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Modeling of tri-parameter contracts integrating cost, time and risk
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LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
Published 2025“…We develop a Deep Learning (DL) pipeline to capture these timing patterns using network traffic analysis and evaluate it on 16 Small Language Models (SLMs) and 10 proprietary LLMs across different deployment scenarios, including local host machine (GPU/CPU), Local Area Network (LAN), Remote Network, and when using Virtual Private Network (VPN). …”
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Robust Prediction of Wildfire Spread in Australia
Published 2025“…The systematic collection of data, increased computing power, and the development of physical models made it possible to get an understanding of the dynamics of wildfire spread. …”
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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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A GENERAL REAL-TIME DECODER BASED ON AMD2900 DEVICES
Published 2020“…Two strategies are adapted to increase throughput of the decoder for real-time decoding. …”
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Survival Misperceptions, Time Inconsistency, and Implications for Life-cycle Saving and Welfare
Published 2013“…Resulting time-inconsistent optimal control problem has been analytically solved. …”
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