Analysis of the Causal Model of the Effective Criteria on the Development of Creative Tourism in Iran by Ahmad hajarian

“…Therefore, this research has been conducted with the aim of evaluating the causal model of the effective criteria on the development of creative tourism. …”
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YOLOv8-POS: a lightweight model for coal-rock image recognition by Yanqin Zhao, Wenyu Wang

“…A novel approach, designated YOLOv8-POS, is introduced to address the issue of false detections in coal-rock image recognition tasks, frequently caused by factors such as image defocus, dim lighting, and worker occlusion, and to further enhance the model’s accuracy and reduce its complexity. …”
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Enhancing agricultural research with an Attention-Based Hybrid Model for precise classification of rice varieties by Nuzhat Noor Islam Prova

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Probabilistic early warning of flash floods using Monte Carlo simulation and hydrological modelling by Xuemei Wu, Yuting Zhao, Wenjiang Zhang, Xiaodong Li, Guanghua Qin, Hongxia Li

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Reverse Oil Flow Characterization in Transformer Windings: A Fluid-Thermal Network Approach by Lujia Wang, Jianghao Qi, Yifan Chen, Lebin Zhang, Jianwen Zhang

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Minimum effort adaptation of automatic speech recognition system in air traffic management by Mrinmoy Bhattacharjee, Petr Motlicek, Srikanth Madikeri, Hartmut Helmke, Oliver Ohneiser, Matthias Kleinert, Heiko Ehr

“…Traditionally, open-source ASR toolkits or large pre-trained models require substantial domain-specific transcribed speech data to adapt to specialized vocabularies. …”
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Exfoliation Corrosion and Pitting Corrosion and Their Role in Fatigue Predictive Modeling: State-of-the-Art Review by David W. Hoeppner, Carlos A. Arriscorreta

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A Parsimonious Yet Robust Regression Model for Predicting Limited Structural Responses of Remote Sensing by Alireza Entezami, Bahareh Behkamal, Carlo De Michele, Stefano Mariani

“…Small data analytics, at the opposite extreme of big data analytics, represent a critical limitation in structural health monitoring based on spaceborne remote sensing technology. Besides the engineering challenge, small data is typically a demanding issue in machine learning applications related to the prediction of system evolutions. …”
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Machine Learning Based Statistical Prediction Model for Improving Performance of Live Virtual Machine Migration by Minal Patel, Sanjay Chaudhary, Sanjay Garg

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Verification of Computer Simulink-Model for Electromechanical System of Armament Complex Guidance of Combat Vehicle by Yaroslav Paranchuk, Pavlo Evdokimov, Oleksiy Kuznyetsov, Volodymyr Tsjapa

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Assessment of the Riverbank Stability for Tigris River in Salahaddin Governorate/Iraq Using BSTEM Model by Mohammed F. Yass, Rasul M. Khalaf

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Building Information Modelling (BIM): A Narrative Literature Review on Theory, Benefits, and Barriers by Jalaludin

“…Building Information Modelling (BIM) has emerged as a transformative methodology within the Architecture, Engineering, and Construction (AEC) sector, significantly changing the approach to project planning, execution, and management. …”
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A Prediction Method and Model Experiments on Surf-Riding and Broaching in Stern-Quartering Waves by Jilong Chu, Min Gu, Jiang Lu, Peijie Zhang

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Regression-based predictive modelling of software size of fintech projects using technical specifications by Iqra Kanwal, Ali Afzal Malik

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Comparative Analysis of Improved YOLO v5 Models for Corrosion Detection in Coastal Environments by Qifeng Yu, Yudong Han, Xinjia Gao, Wuguang Lin, Yi Han

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Accuracy of the 'Benish' and 'Developed Benish' Models in Predicting the Probability of Restating Financial Statements in Iran's Economic Environment by Sasan Mehrani, Akbar Rahimipoor

“…The overall accuracy of the model regarding the developed model of Benish was estimated at 68.68%. …”
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An AI based cross‐language aspect‐level sentiment analysis model using English corpus by Jing Chen, Li Pan

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Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection by Nicolas Grünfelder, Manmit Padhy, Alaa Armiti-Juber, Seyed Morteza Seyedpour, Navina Waschinsky, Tim Ricken

“…While high-fidelity simulations may suffice for small-scale examples typically found in the literature, they become impractical for real-world components with large numbers of unit cells and repeated execution of the simulations. To address this issue, a model order reduction method (MOR) is proposed in this study, transitioning from a high-fidelity solid model to a computationally more efficient lower-fidelity beam model. …”
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Enzymatic synthesis of hydrophobic compounds integrated with membrane separation by Noworyta Andrzej, Trusek-Holownia Anna

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Part B: Innovative Data Augmentation Approach to Boost Machine Learning for Hydrodynamic Purposes—Computational Efficiency by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Eric Gubesch

“…We previously highlighted the sensitivity of trained models to noise, the importance of computational efficiency, and the need for feature engineering/compactness in hydrodynamic models due to the stochastic nature of waves. …”
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