Data-driven deep learning model for predicting ambient temperature: environment and solar energy by Reza Hassanian, Nashmin Yeganeh, Ásdís Helgadóttir, Runar Unnthorsson, Morris Riedel

“…The proposed model demonstrates predictive solid performance, with a mean absolute error (MAE) ranging from 0.024 to 0.046, root mean squared error (RMSE) in the range of 0.032 to 0.061, and an R-squared ( R ^2 ) value between 0.882 and 0.962. …”
Get full text

Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

“…Hyperparameter tuning was conducted to enhance prediction accuracy while reducing model error. The findings demonstrated that ML-based modelling can serve as a reliable and effective tool to improve biogas production efficiency in wastewater treatment applications. …”
Get full text

A Plug Seedling Growth-Point Detection Method Based on Differential Evolution Extra-Green Algorithm by Hongmei Xia, Shicheng Zhu, Teng Yang, Runxin Huang, Jianhua Ou, Lingjin Dong, Dewen Tao, Wenbin Zhen

“…These results validated the high detection accuracy and broad applicability of the proposed method for various seedling types at the appropriate growth stages.…”
Get full text

A Resource-Efficient Time-Domain-Based Algorithm to Estimate Respiration Rate From Single-Lead ECG Signal by G. B. Krishnapriya, R. N. Ponnalagu, Sanket Goel

“…On the benchmark dataset, MPD achieved a mean absolute error (MAE) of 3.66 bpm and mean absolute percentage error (MAPE) of 23.69%, outperforming the Count-Orig method (MAE = 5.09 bpm, MAPE = 32.76%). …”
Get full text

Comparative Study of Machine Learning Techniques for Predicting UCS Values Using Basic Soil Index Parameters in Pavement Construction by Mudhaffer Alqudah, Haitham Saleh, Hakan Yasarer, Ahmed Al-Ostaz, Yacoub Najjar

“…The results indicate that the ANN-based model provided the most accurate predictions for UCS, achieving an R² of 0.83, a root-mean-squared error (RMSE) of 1.11, and a mean absolute relative error (MARE) of 0.42. …”
Get full text

Graph2Mat: universal graph to matrix conversion for electron density prediction by Pol Febrer, Peter Bjørn Jørgensen, Miguel Pruneda, Alberto García, Pablo Ordejón, Arghya Bhowmik

“…The novel prediction model also allows for two new and promising measures of uncertainty (total charge error and self-consistency error) that will facilitate its practical usage, e.g. within active learning workflows. …”
Get full text

Quantitative Ultrasonic Testing and Evaluation of Laser Welds for Stainless Steel Carbody of Rail Transit Vehicles by ZHOU Guanghao, LI Bing, DU Yuxin, CHANG Xiaoyu, GAO Zhongliang, KANG Liqi, GAO Ya

“…This precision meets the requirements for practical engineering applications.…”
Get full text

Reliable models for calculating the condensation heat transfer inside smooth helical tubes of different flow directions utilizing smart computational techniques by Chou-Yi Hsu, Nikunj Rachchh, T. Ramachandran, Aman Shankhyan, A. Karthikeyan, Ahmad Alkhayyat, Prabhat Kumar Sahu, Abhinav Kumar, Satvik Vats, F. Ranjbar

“…However, literature models are applicable only to specific operational and geometrical conditions. …”
Get full text

Robust integral super-twisting controller for enhanced photovoltaic integration with hybrid battery and supercapacitor storage in DC microgrid by Ridha Benadli, Azeddine Houari, Nadia Ait-Ahmed, Saad Motahhir, Adrian Augustin Pop, Soumia El Hani

“…Comparative testing found that the conventional PI controller had a rise time of 0.0666 s, a settling time of 0.165 s, and a 17 % overshoot with a steady-state error of 0.02 %. The proposed ISTA controller had a rise time of 0.0016 s, a settling time of 0.0667 s, zero percentage overshoot, and a minimal steady-state error of only 0.0003 %. …”
Get full text

A Novel Voronoi-Driven Optimization Approach for Point-Based Sensor Network Deployment by Saeid Doodman, Mir-Abolfazl Mostafavi, Raja Sengupta, Ali Afghantoloee

“…Sensor Networks (SNs) are gaining more attention in applications such as urban microclimate monitoring, which is a critical input for building energy simulation. …”
Get full text

A Feasibility Study on Indoor Localization and Multiperson Tracking Using Sparsely Distributed Camera Network With Edge Computing by Hyeokhyen Kwon, Chaitra Hegde, Yashar Kiarashi, Venkata Siva Krishna Madala, Ratan Singh, ArjunSinh Nakum, Robert Tweedy, Leandro Miletto Tonetto, Craig M. Zimring, Matthew Doiron, Amy D. Rodriguez, Allan I. Levey, Gari D. Clifford

“…Camera-based activity monitoring systems are becoming an attractive solution for smart building applications with the advances in computer vision and edge computing technologies. …”
Get full text

Parametrization of a 0D solid oxide cell performance model—a detailed investigation including temperature dependencies of kinetic parameters by Marius Mueller, Markus Klinsmann, Ulrich Sauter, Jean-Claude Njodzefon, André Weber

“…The impact of these temperature dependencies on cell performance is evaluated by comparing the error between measurements and simulations with and without temperature-dependent parameters. …”
Get full text

Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

“…For compressive strength, it reduced the Mean Absolute Error (MAE) by 87.69% and the Root Mean Squared Error (RMSE) by 71.93%. …”
Get full text

A Novel Approach to Autonomous Driving Using Double Deep Q-Network-Bsed Deep Reinforcement Learning by Ahmed Khlifi, Mohamed Othmani, Monji Kherallah

“…However, real-world applications, such as self-driving cars, face challenges due to complex state and action spaces, requiring precise control. …”
Get full text

The Role of Artificial Intelligence in Aviation Construction Projects in the United Arab Emirates: Insights from Construction Professionals by Mariam Abdalla Alketbi, Fikri Dweiri, Doraid Dalalah

“…The applications of Artificial Intelligence (AI) in the airport industry are significantly transforming operational efficiency, safety, and passenger experiences. …”
Get full text

Exact and numerical solutions of the generalized breaking soliton system: Insights into non-linear wave dynamics by Amer Ahmed, Abdulghani R. Alharbi, Ishak Hashim

“…In addition to its theoretical importance, this work can provide valuable practical information on engineering applications such as soliton-based communications and wave control applications in fluid systems. …”
Get full text

Direct torque control for a six phase induction motor using a fuzzy based and sliding mode controller by Mohamed I. Abdelwanis, Alaa A. Zaky, F. Selim

“…Based on simulation results, the fuzzy PID inverter reduces the speed error and THD of the current and voltage waveforms, thereby improving MSPIM’s overall performance when compared to the regular PID and SMC.…”
Get full text

Adaptive Disturbance Rejection Motion Control of Direct-Drive Systems with Adjustable Damping Ratio Based on Zeta-Backstepping by Zhongjin Zhang, Zhitai Liu, Weiyang Lin, Wei Cheng

“…Direct-drive servo systems are extensively applied in biomimetic robotics and other bionic applications, but their performance is susceptible to uncertainties and disturbances. …”
Get full text

An improved DV-Hop localization with minimum connected dominating set for mobile nodes in wireless sensor networks by Gulshan Kumar, Mritunjay Kumar Rai, Rahul Saha, Hye-jin Kim

Get full text

Chlorophyll-a in the Chesapeake Bay Estimated by Extra-Trees Machine Learning Modeling by Nikolay P. Nezlin, SeungHyun Son, Salem I. Salem, Michael E. Ondrusek

Get full text