Analysis of Technology Acceptance Model in Understanding of Students Behavior Intention in Use of Sikadu by Ratieh Widhiastuti, Arief Yulianto

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A Formal Requirements Model, Used in the Process of Application Code and Test Code Generation by S. N. Baranov, V. P. Kotlyarov

“…The technique of using the developed model is described.…”
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Evaluation of the ratcheting behavior of Cr-Mo steel used in CNG tank by Karim Aliakbari, Shahab Kamel Abbasnia, Mahmoud Shariati

“…In this paper, the ratcheting behavior of 25CrMo4 steel used in constructing of a CNG tank was investigated numerically. …”
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Analog Behavioral Modeling of Schottky Diode Using Spice by Messaadi Lotfi, Dibi Zohir

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Behavior engineering using quantitative reinforcement learning models by Ohad Dan, Ori Plonsky, Yonatan Loewenstein

“…We found that a choice engineering approach is the most successful method for shaping behavior in our task. This is a proof of concept that quantitative models are ripe to be used in order to engineer behavior. …”
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pyAutonomousAgent: An Academic Tool for Modeling Autonomous Agent Behaviors Using Behavior Trees by Felipe Leonardo Lôbo Medeiros

“…Therefore, I proposed the pyAutonomousAgent, an academic tool for modeling autonomous agent behaviors through behavior trees. …”
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Realtime Monitoring of Animal Behavior Using Deep Learning Models by Romesa Rao, Salman Qadri, Rao Kashif

“…To address these challenges, we propose an automated system for behavioral pattern using deep learning-based pose estimation techniques. …”
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Using computational models of learning to advance cognitive behavioral therapy by Isabel M. Berwian, Peter Hitchock, Sashank Pisupati, Gila Schoen, Yael Niv

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Driving sustainable transportation: analyzing consumer behavior toward used electric vehicles by Zhang Yi, Noppawan Wisedsind, Jakkrit Thavorn

Subjects: “…Used electric vehicles…”
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Modeling the Frequency of Cyclists’ Red-Light Running Behavior Using Bayesian PG Model and PLN Model by Yao Wu, Jian Lu, Hong Chen, Qian Wan

“…The Poisson-gamma (PG) and Poisson-lognormal (PLN) model were developed and compared. The models were validated using Bayesian p values based on posterior predictive checking indicators. …”
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Behavior recognition technology based on deep learning used in pediatric behavioral audiometry by Wen Xie, Chunhua Li, Haisen Peng, Yuehui Liu, Zhilin Zhang, Xiaogang Cheng, Jiali Liu

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The paths from walk preference to walk behavior: Applying latent factors in structural equation modeling by Matthew A. Coogan, Thomas Adler, Karla Karash

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Personalization of Robot Behavior Using Approach Based on Model Predictive Control by Mateusz Jarosz, Bartlomiej Sniezynski

“…This paper proposes a novel approach to personalizing robot behavior using Model Predictive Control (MPC). Social humanoid robots, equipped with advanced sensors and human-like capabilities, are increasingly integrated into human environments, necessitating adaptable and intuitive communication interfaces. …”
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Modeling nitrogen behavior in Tigris River using system dynamics approach by Muwafaq H. Al Lami, Ali Basem, Atheer Fadhil Mahmood, Hameed S. Ismael, Imzahim A. Alwan, Talib K. Abid, Mohammed A. Fayad

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Modeling Customer Purchase Behavior in the Insurance Industry Using System Dynamics by Shabnam Jalalat, Kambiz Shahroodi, Mehdi Fadaei, Mahdi Homayounfar

“…Therefore, this article used this tool to model and simulate the impact of advertising on the behavior of life insurance customers and its relationship with revenue and asset management. …”
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Predicting Student Behavior Using a Neutrosophic Deep Learning Model by Ahmed Mohamed Shitaya, Mohamed El Syed Wahed, Saied Helemy Abd El Khalek, Amr Ismail, Mahmoud Y. Shams, A. A. Salama

“…An intelligent system was designed to assess the difficulty level of preliminary exams and select top-performing advanced students using a Neutrosophic Deep Learning Model. The dataset was randomly split into training (80%) and testing (20%) sets, and the model, trained with the Adam optimizer at a 0.001 learning rate over 50 epochs, incorporated early stopping based on validation loss. …”
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Using synchronous Boolean networks to model several phenomena of collective behavior. by Stepan Kochemazov, Alexander Semenov

“…In this paper, we propose an approach for modeling and analysis of a number of phenomena of collective behavior. …”
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Modelling the Triaxial Compression Behavior of Loess Using the Disturbed State Concept by Yali Xu, Panpan Guo, Yixian Wang, Cheng-Wei Zhu, Kang Cheng, Gang Lei

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A Review of the Methods Used in the Study of Creep Behavior of Fiber-Reinforced Composites and Future Developments by Mostafa Katouzian, Sorin Vlase

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Dynamical behaviors for analyzing the stability of glycolysis model using fractal–fractional derivative by S. Sabarinathan, M. Sivashankar, Kottakkaran Sooppy Nisar, Suliman Alsaeed, C. Ravichandran

“…One very useful tool for simulating the intricate feedback processes that take place in a biological system is the glycolysis model. …”
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