An Improved Tropospheric Tomographic Model Based on Artificial Neural Network by Minghao Zhang, Kefei Zhang, Suqin Wu, Longjiang Li, Dantong Zhu, Moufeng Wan, Peng Sun, Jiaqi Shi, Shangyi Liu, Andong Hu

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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

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Adaptive optimization of natural coagulants using hybrid machine learning approach for sustainable water treatment by Pallavi Randive, Madhuri S. Bhagat, Mangesh P. Bhorkar, Rajesh M. Bhagat, Shilpa M. Vinchurkar, Sagar Shelare, Shubham Sharma, N. Beemkumar, S. Hemalatha, Parveen Kumar, Ankit Kedia, Ehab El Sayed Massoud, Deepak Gupta, Jasmina Lozanovic

“…Abstract The efficiency optimization methods for natural coagulants are often restricted due to non-scientific trial-and-error approaches. They are inaccurate in predicting the complex interactions of jet mixing parameters, coagulant dosage, and environmental conditions. …”
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Computational analysis of turbulent flow characteristics in nanofluids containing 1-D and 2-D carbon nanomaterials: grid optimization and performance evaluation by Hai Tao, Mohammed Suleman Aldlemy, Raad Z. Homod, Mustafa K. A. Mohammed, Abdul Rahman Mallah, Omer A. Alawi, Shafik S. Shafik, Hussein Togun, Blanka Klimova, Hassan Alzahrani, Zaher Mundher Yaseen

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Advancements in combustion technologies: A review of innovations, methodologies, and practical applications by Abdellatif M. Sadeq, Raad Z. Homod, Husam Abdulrasool Hasan, Bilal Naji Alhasnawi, Ahmed Kadhim Hussein, Ali Jahangiri, Hussein Togun, Masoud Dehghani-Soufi, Shahbaz Abbas

“…Multi-scale modeling techniques, such as hybrid DNS-LES models, achieve a 5 % error margin in flame speed predictions, and Adaptive Mesh Refinement (AMR) reduces computational costs by 50 % without compromising accuracy. …”
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The Dif Identification in Constructed Response Items Using Partial Credit Model by Heri Retnawati

“…Furthermore, by applying these items characteristics, the researcher draw the category response function (CRF) graphic in order to identify whether the type of DIF content had been in uniform or non-uniform. …”
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Prioritized Experience Replay–Based Path Planning Algorithm for Multiple UAVs by Chongde Ren, Jinchao Chen, Chenglie Du

“…Unmanned aerial vehicles (UAVs) have been extensively researched and deployed in both military and civilian applications due to their tiny size, low cost, and great ease. …”
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Acoustic Emission-Based Method for IFSS Characterization in Single-Fiber Fragmentation Tests by Felipe Romero, Franco Méndez, Javiera González, Víctor Tuninetti, Carlos Medina, Meylí Valin, José Valin, Alexis Salas, Cristián Vicuña

“…Results indicate that this approach achieves an IFSS determination error of 14.16% at a 95% confidence level. This study demonstrates the feasibility of using AE for IFSS characterization in SFFT and contributes to future research on AE applications in composite materials.…”
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A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing by Chao Hu, Xingyan Zhao, Yang Qiu, Shaonan Zheng, Qize Zhong, Yuan Dong, Ting Hu

“…The final performance of microspectrometer depends on the trade-offs between reconstruction time, relative error, footprint, and resolution. To optimize these trade-offs, we have improved the existing freeform metasurface design scheme and optimized the filter array design. …”
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Treatment efficiency and quality improvement via double imaging modality (DIM) versus single imaging modality (SIM) image-guided radiotherapy for prostate cancer by Milad Mirzaei, Suki Gill, Mahsheed Sabet, Martin A. Ebert, Pejman Rowshanfarzad, Jake Kendrick, Angela Jacques, Clare Herbert, Jeremy Croker, Sean Bydder, Joshua Dass, Edward Bailey, Rohen White, Catherine Moffat, Colin Tang, Adriano Polpo, Nicholas Bucknell

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Multi-scale attention-enhanced deep learning approach for detecting seven trunk pests and diseases in Shanghai’s urban plane trees by Tianyang Song, Guohua Hu, Tianci Yu, Xing Meng, Yanting Zhang, Ruiqing Yang, Benyao Wang, Xia Li

“…Traditional manual inspections are labor-intensive and error-prone. This study introduces an enhanced YOLOv8-based detection framework to address multi-scale variability in pest and disease datasets. …”
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Visual-LiDAR Odometry for Planetary Rover with Plane Constraints by L. Zhang, R. Huang, R. Huang, Y. Xu, Y. Xu, Z. Ye, Z. Ye, C. Xiao, C. Xiao, X. Tong, X. Tong

“…., absolute trajectory error) of 3.334% and 3.869% over the full trajectory length of two sequences, outperforming state-of-the-art methods. …”
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A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein by Bahareh Behkamal, Fatemeh Asgharian Rezae, Amin Mansoori, Rana Kolahi Ahari, Sobhan Mahmoudi Shamsabad, Mohammad Reza Esmaeilian, Gordon Ferns, Mohammad Reza Saberi, Habibollah Esmaily, Majid Ghayour-Mobarhan

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A multi-level, multi-scale comparison of LiDAR- and LANDSAT-based habitat selection models of Mexican spotted owls in a post-fire landscape by Ho Yi Wan, Michael A. Lommler, Samuel A. Cushman, Jamie S. Sanderlin, Joseph L. Ganey, Andrew J. Sánchez Meador, Paul Beier

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Signal-domain speed-of-sound correction for ring-array-based photoacoustic tomography by Daohuai Jiang, Hengrong Lan, Shangqing Tong, Xianzeng Zhang, Fei Gao

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Integrated approach to land degradation risk assessment in arid and semi-arid Ecosystems: Applying SVM and eDPSIR/ANP methods by Ehsan Moradi, Hassan Khosravi, Pouyan Dehghan Rahimabadi, Bahram Choubin, Zlatica Muchová

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Pathophysiology and blood pressure measurements of hypertension in the elderly by Fan-Yu Chen, Chun-Wei Lee, Yu-Jen Chen, Yen-Hung Lin, Chih-Fan Yeh, Chih-Ching Lin, Hao-Min Cheng

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micronuclAI enables automated quantification of micronuclei for assessment of chromosomal instability by Miguel A. Ibarra-Arellano, Lindsay A. Caprio, Aroj Hada, Niklas Stotzem, Luke L. Cai, Shivem B. Shah, Zachary H. Walsh, Johannes C. Melms, Florian Wünneman, Kresimir Bestak, Ibrahim Mansaray, Benjamin Izar, Denis Schapiro

“…CIN may result from chromosome mis-segregation errors and excessive chromatin is frequently packaged in micronuclei (MN), which can be enumerated to quantify CIN. …”
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A neural network-based model for assessing 3D printable concrete performance in robotic fabrication by Weijiu Cui, Dongsheng Ji, Liang Shen, Shiyong Su, Xinyu Shi, Jidong Liu, Zirui Bai, Yubo Sun, Jian Gong, Yaxin Tao

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Improved Power Budget of 112 Gb/s/<inline-formula><tex-math notation="LaTeX">$\lambda$</tex-math></inline-formula> Intra-Datacentre Links Using a Split-Carrier Transmitter Architec... by Thomas Gerard, Zhixin Liu, M. Sezer Erkilinc, Lidia Galdino, Polina Bayvel, Benn Thomsen, Domanic Lavery

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