Optimizing machine learning for network inference through comparative analysis of model performance in synthetic and real-world networks by Ruby Khan, Sumbal Khan, Bakht Pari, Krzysztof Puszynski

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An Indicator Based on Spatial Coordinate Information for Assessing the Capability for Dynamic Machining Performance of Five-Axis Flank Milling by Chenglin Yao, Gaiyun He, Yicun Sang, Chen Yue, Yichen Yan, Sitong Wang

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Comparative Performance of Machine Learning Models for Landslide Susceptibility Assessment: Impact of Sampling Strategies in Highway Buffer Zone by Zhenyu Tang, Shumao Qiu, Haoying Xia, Daming Lin, Mingzhou Bai

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PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

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Multi-model ensemble machine learning-based downscaling and projection of GRACE data reveals groundwater decline in Saudi Arabia throughout the 21st century by Arfan Arshad, Muhammad Shafeeque, Thanh Nhan Duc Tran, Ali Mirchi, Zaichen Xiang, Cenlin He, Amir AghaKouchak, Jessica Besnier, Md Masudur Rahman

“…This was accomplished by using multi-model ensemble machine learning (ML) approach leveraging Random Forest, CART, and Gradient Tree Boosting algorithms within Google Earth Engine (GEE). …”
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Prediction of permissioned blockchain performance for resource scaling configurations by Seungwoo Jung, Yeonho Yoo, Gyeongsik Yang, Chuck Yoo

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A guideline study for optimal machine learning approaches to predict the off-design performance of sCO2-PCHEs by Xin Sui, Wenqi Wang, Chunyang Liu, Peixin Dong

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Vortex-Induced Vibration Performance Prediction of Double-Deck Steel Truss Bridge Based on Improved Machine Learning Algorithm by Yang Yang, Huiwen Hou, Gang Yao, Bo Wu

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Development and calibration of roundabout safety performance functions using machine learning: a case study from Amman, Jordan by Diana Al-Nabulsi, Aya Hassouneh

“…This study introduces an advanced calibration framework for SPFs using machine learning techniques, demonstrated through a case study of 20 urban roundabouts in Amman, Jordan. …”
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An improved electrocardiogram arrhythmia classification performance with feature optimization by Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

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Performance and limitation of machine learning algorithms for diabetic retinopathy screening and its application in health management: a meta-analysis by Mehrsa Moannaei, Faezeh Jadidian, Tahereh Doustmohammadi, Amir Mohammad Kiapasha, Romina Bayani, Mohammadreza Rahmani, Mohammad Reza Jahanbazy, Fereshteh Sohrabivafa, Mahsa Asadi Anar, Amin Magsudy, Seyyed Kiarash Sadat Rafiei, Yaser khakpour

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An artificial intelligence and machine learning-driven CFD simulation for optimizing thermal performance of blood-integrated ternary nano-fluid by Mohib Hussain, Du Lin, Hassan Waqas, Qasem M. Al-Mdallal

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Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches by Alahmari Turki S., Farooq Furqan

“…The performance and durability of conventional concrete (CC) are significantly influenced by its weak tensile strength and tensile strain capacity (TSC). …”
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Optimising Mechanical Performance of Additive Manufactured Composites for Biomedical Applications by Abdul Qadir, Amadi Gabriel Udu, Norman Osa-uwagboe

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A machine learning framework for predictive electron density modelling to enhance 3D NAND flash memory performance by Dikendra Verma, Upendra Mohan Bhatt, Anurag Vidyarthi

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Intelligent transportation systems: A survey on modern hardware devices for the era of machine learning by Issam Damaj, Salwa K. Al Khatib, Tarek Naous, Wafic Lawand, Zainab Z. Abdelrazzak, Hussein T. Mouftah

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On understanding the influence of microstructure on pure tungsten machinability: A micro-end milling case by Jinxuan Bai, Zhiwei Xu, Wenbin Zhong, Maomao Wang, Linmao Qian

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Enhancing Spraying Performance with Active Stability Control in Multi-Link Mechanisms by Naiyu Shi, He Li, Yongkang Yang, Hongliang Hua, Junhong Ye, Zheng Chen, Ting Xu

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Tennis Timing Assessment by a Machine Learning-Based Acoustic Detection System: A Pilot Study by Lucio Caprioli, Amani Najlaoui, Francesca Campoli, Aatheethyaa Dhanasekaran, Saeid Edriss, Cristian Romagnoli, Andrea Zanela, Elvira Padua, Vincenzo Bonaiuto, Giuseppe Annino

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Leveraging machine learning for analyzing the nexus between land use and land cover change, land surface temperature and biophysical indices in an eco-sensitive region of Brahmani-... by Bhaskar Mandal

“…This present study aims to evaluate land use and land cover changes using five machine-learning algorithms in Google Earth Engine. …”
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