-
1
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. …”
Get full text
Get full text
Get full text
Get full text
article -
2
-
3
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. …”
-
4
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. …”
-
5
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. …”
-
6
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. …”
-
7
-
8
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.…”
Get full text
Get full text
Get full text
Get full text
article -
9
-
10
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. …”
Get full text
article -
11
-
12
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). …”
-
13
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. …”
Get full text
-
14
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. …”
-
15
-
16
-
17
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Published 2023“…To that end, deep transfer learning (DTL) and deep domain adaptation (DDA) have recently been proposed as promising solutions to alleviate these issues. …”
-
18
Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring
Published 2024“…The core of DRLLVT is its novel algorithm that leverages Deep Reinforcement Learning (DRL) to dynamically adapt to changing environmental conditions, facilitating real-time decisions that consider node capacities, latency, and the overall network dynamics. …”
-
19
-
20
