Random Forest versus Support Vector Machine Models’ Applicability for Predicting Beam Shear Strength by Hayder Riyadh Mohammed Mohammed, Sumarni Ismail

“…In the quantitative term, the minimal root mean square error value was attained (RMSE = 89.68 kN).…”
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Analysis of the burdens of caregivers providing care to people living with HIV/AIDS in Botswana by N.O. Ama, E.S. Seloilwe

“…Questionnaires were administered on this selected sample at their homes or CHBC headquarters by trained research assistants who ensured that all ethical considerations were observed. …”
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Textual Data Selection For Language Modelling In The Scope Of Automatic Speech Recognition by Freha Mezzoudj, David Langois, Denis Jouvet

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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…The trained models with Random Forest and XGBoost methods which are capable of predicting the spatial distribution of air temperature by using building volume information are compared. By doing so, this research aims to assist urban planners in incorporating environmental parameters into their planning strategies, thereby facilitating more sustainable and inhabitable urban environments.…”
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Offline Signature Biometric Verification with Length Normalization using Convolution Neural Network by Zahraa Mazin Alkattan, Ghada Mohammad Tahir Aldabagh

“…This is referred to as intra-user variability. This research aims to improve the recognition accuracy of the offline signature. …”
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Environmental Governance and Green Energy: An Administrative Toolkit to Reduce Environmental Degradation by Muhammad Sajjad Hussain, Muhammad Atif Nawaz, Tusawar Iftikhar Ahmad, Muhammad Azhar Bhatti

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Finite Element Modeling Of Saint-Venant Equations For Shatt-Al Hilla by Basim Sh. Abed, Hamid H. Hussain, Khalid A. Abdul-Razzaq

“…It is important to control the velocity and water level along the river to maintain the required level for easily diverting water to the branches located along the river. So, in this research, a numerical model was developed to simulate the gradually varied unsteady flow in Shatt AL-Hilla. …”
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Optimizing Photovoltaic Power Prediction Using Computational Methods and Artificial Neural Networks by Cempaka Amalin Mahadzir, Ahmad Fateh Mohamad Nor, Siti Amely Jumaat, Noor Syahirah Ahmad Safawi

“…By comparing the Mean Squared Error (MSE) of four different values of derating factor due to dirt which are 0.8, 0.88, 0.9 and 0.98 in ANN predictions comprehend with 4 input layers and 10 hidden layers. …”
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Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection by Vadim Lanko, Ilya Makarov

“…Recently, among the unsupervised methods, diffusion models have attracted increased attention among researchers for addressing this particular task. However, spatial information often remains underutilized or overlooked in existing models. …”
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Building a Cybersecurity Culture in Higher Education: Proposing a Cybersecurity Awareness Paradigm by Reismary Armas, Hamed Taherdoost

“…Today, the world is experiencing constant technological evolution, allowing cyberattacks to manifest through different vectors and widely impacting victims, from specific users to serious damage to institutions’ integrity. Research has shown that a significant percentage of recorded cyber incidents are attributed to social engineering practices or human error. …”
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Modeling Bus Passenger Flow Dynamics Using the Cell Transmission Model for Real-Time Congestion Management by Ala Alobeidyeen

“…This research develops the BUS-CTM, a novel mathematical simulation model that adapts the cell transmission model (CTM) to analyze spatiotemporal passenger flow dynamics in urban bus networks. …”
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Refining reproductive parameters for modelling sustainability and extinction in hunted primate populations in the Amazon. by Mark Bowler, Matt Anderson, Daniel Montes, Pedro Pérez, Pedro Mayor

“…Methods like ours verify the suitability of captive reproductive rates for sustainability analysis and population modelling for populations under differing conditions of hunting pressure and seasonality. Without such research, population modelling is based largely on guesswork.…”
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Experiment on Direction of Arrival Estimation of Atmospheric Spark Discharge Plasma Using Combined Time-Domain Antenna by Jiangzehui Yan, Luping Xu, Weihao Tie, Dan Jiang

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RELATIONSHIP BETWEEN INTERNAL PRESSURE AND CAVITY VOLUME CHANGE BASED ON LIQUID IMPACT LOADING TO BIMETALLIC THIN-WALLED TUBES by LIU JianWei, SUN ChangYing, LI YuHan, YAO XinQi, FAN XiangWen

“…Through comparison of numerical simulation and theoretical analysis,it is not difficult to find that they were a good consistency,and the internal pressure model is optimized by the model error revision,which lays a good theoretical and application basis for further research on LIF of bimetallic thin-walled tubes.…”
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Revisiting linearly extended discrete functions by Gravel Claude, Panario Daniel

“…The authors introduced a new family of cryptographic schemes in a previous research article, which includes many practical encryption schemes, such as the Feistel family. …”
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Optimization of Arabian-Shield-Based Natural Pozzolan and Silica Fume for High-Performance Concrete Using Statistical Design of Experiments by Yassir M. Abbas, M. Iqbal Khan

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Correction of methods for calculating the single-phase short circuit current in a rural 0.4 kv electric grid by A. A. Lansberg, A. V. Vinogradov

“…It was revealed that the error between the results obtained using different methods reaches 35.9%. …”
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IASB Framework: Construction of Data Asset Accounting System Based on PO-BP Model by Haixia Guo

“…., BP, GWO-BP, and SSA-BP) in terms of convergence speed, prediction accuracy, and stability, achieving an average relative error of 0.2292% and a coefficient of determination R² of 0.9957. …”
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Utilizing Soft Computing Techniques to Estimate the Axial Permanent Deformation of Asphalt Concrete by Amjad H. Albayati, Yazeed S. Jweihan, Mazen J. Al-Kheetan

“…Rutting is a crucial concern impacting asphalt concrete pavements’ stability and long-term performance, negatively affecting vehicle drivers’ comfort and safety. This research aims to evaluate the permanent deformation of pavement under different traffic and environmental conditions using an Artificial Neural Network (ANN) prediction model. …”
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A monitoring network SIMNet for weld penetration status based on multimodal fusion by Qi Jiang, Yiming Wang, Yan Kong, Yu Liu, Ce Ma

“…The experimental results demonstrate that SIMNet achieves the best performance with a mean squared error (MSE) of 0.1141 mm, compared to other mainstream algorithms. …”
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