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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“…Moreover, machine learning (ML) and deep learning (DL) techniques are utilized to classify occupancy patterns. …”
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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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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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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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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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A Narrative Review on Prevention and Early Intervention of Challenging Behaviors in Children with a Special Emphasis on COVID-19 Times
Published 2022“…<h3>Background</h3><p dir="ltr">COVID-19 and the measures stemming from efforts to control it have affected the psychosocial wellbeing of children and adolescents. The increasing trend of challenging behavior has exerted further pressure on parents and schools. …”
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Health in times of uncertainty in the eastern Mediterranean region, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
Published 2016“…However, diarrhoeal diseases were the leading cause of death in Somalia (186·7 deaths per 100 000 people) in 2013, which decreased by 26·9% since 1990. …”
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