Data-driven predictive model of coal permeability based on microscopic fracture structure characterization by Tianhao Yan, Xiaomeng Xu, Jiafeng Liu, Yihuai Zhang, Muhammad Arif, Xiaowei Xu, Qiang Wang

“…This method enables rapid estimation of coal permeability by inputting two-dimensional (2D) computed tomography images or parameters of the microscopic fracture structure, thereby providing an accurate and efficient means of permeability prediction.…”
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BAHGRF3: Human gait recognition in the indoor environment using deep learning features fusion assisted framework and posterior probability moth flame optimisation by Muhammad Abrar Ahmad Khan, Muhammad Attique Khan, Ateeq Ur Rehman, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Deepak Gupta, Saima Ahmed Rahin, Yudong Zhang

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Data-Driven Approaches for Predicting and Forecasting Air Quality in Urban Areas by Cosmina-Mihaela Rosca, Madalina Carbureanu, Adrian Stancu

“…The study integrates pollutant factors (CO, NO₂, SO₂, PM_2.5), meteorological parameters (temperature, humidity, wind speed), and traffic data to determine air quality. …”
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Credit card default prediction using ML and DL techniques by Fazal Wahab, Imran Khan, Sneha Sabada

“…Although there has been much research investigating the efficacy of conventional Machine Learning (ML) models, there has been relatively less emphasis on Deep Learning (DL) techniques. …”
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Reliable smart models for estimating frictional pressure drop in two-phase condensation through smooth channels of varying sizes by M. A. Moradkhani, S. H. Hosseini, Mengjie Song, A. Abbaszadeh

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Artificial intelligence and perinatology: a study on accelerated academic production- a bibliometric analysis by Ümran Kılınçdemir Turgut

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Gait data generation using generative adversarial network based on human dynamics by Ryoya OBA, Yusuke OSAWA, Keiichi WATANUKI, Kazunori KAEDE

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Detection of Sugar Syrups in Honey Using Untargeted Liquid Chromatography–Mass Spectrometry and Chemometrics by Jule Hansen, Christof Kunert, Kurt-Peter Raezke, Stephan Seifert

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Research on recycling value grading and real-time perception of rock debris from TBM tunneling by Weiqi Yue, Weilin Su, Zhanfei Gu, Xiao Qu

“…Leveraging a comprehensive database that encompasses both tunnel rock debris performance indicators and TBM tunneling parameters, perception models are constructed using different machine learning algorithms. …”
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Activated cancer-associated fibroblasts correlate with poor survival and decreased lymphocyte infiltration in infiltrative type distal cholangiocarcinoma by Dae Hyun Lim, Yung-Kyun Noh, Byoung Kwan Son, Dong-Hoon Kim, Kyueng-Whan Min, Seoung Wan Chae, Hyung Suk Kim, Mi Jung Kwon, Jung Soo Pyo, Yoonhyeong Byun

“…We analyzed 469 patients (418 from our cohort and 51 from The Cancer Genome Atlas) with DBD adenocarcinoma. aCAFs were evaluated using hematoxylin and eosin staining. We developed a machine learning-based survival prediction model incorporating aCAFs and clinicopathologic parameters. …”
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Analysis of soil salinization and land use change under water conservation retrofit in the Hetao irrigation district by Yi Zhao, Shuya Yang, Haibin Shi, Haoqi Han, Yunlei Dong, Xianyue Li, Jianwen Yan, Yan Yan, Xu Dou, Feng Tian, Qingfeng Miao

“…The results showed that the Blue, Green, Red, NIR, SWIR1 and SWIR2 bands and the SI, SI1, SI2, SI3 and SI4 spectral indices were the ones that had correlation coefficients greater than 0.55 between the various parameters and soil salinity in 2015 and 2022. The soil salinity inversion model constructed using Random Forest demonstrates higher R2 values and lower MAE and RMSE compared to the Support Vector Machine and Gradient Boosting Tree, establishing it as the optimal model for soil salinity inversion. …”
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AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing by Rajnish Rakholia, Andres L. Suarez-Cetrulo, Manokamna Singh, Ricardo Simon Carbajo

“…Building on this, this research paper aims to explore the utilization of machine learning methods in predicting the drying time of meat-based food products incorporating multiple factors including structure and properties of food, environmental factors, food mass, and physical parameters of food containers. …”
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A Resting ECG Screening Protocol Improved with Artificial Intelligence for the Early Detection of Cardiovascular Risk in Athletes by Luiza Camelia Nechita, Dana Tutunaru, Aurel Nechita, Andreea Elena Voipan, Daniel Voipan, Anca Mirela Ionescu, Teodora Simina Drăgoiu, Carmina Liana Musat

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Fault detection and classification in overhead transmission lines through comprehensive feature extraction using temporal convolution neural network by Nadeem Ahmed Tunio, Ashfaque Ahmed Hashmani, Suhail Khokhar, Mohsin Ali Tunio, Muhammad Faheem

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Interfacial behavior prediction and regulation on inclined superhydrophobic surfaces with transfer learning-assisted method by Yibin Liu, Konghua Yang, Yuchao Luo, Jiawei Xiong, Yunhong Liang, Zhihui Zhang, Chunbao Liu

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Remote sensing inversion of nitrogen content in silage maize plants based on feature selection by Kejing Cheng, Kejing Cheng, Jixuan Yan, Jixuan Yan, Guang Li, Guang Li, Weiwei Ma, Weiwei Ma, Zichen Guo, Zichen Guo, Wenning Wang, Wenning Wang, Haolin Li, Qihong Da, Qihong Da, Xuchun Li, Xuchun Li, Yadong Yao, Yadong Yao

“…This study employs multispectral remote sensing images, combined with field-measured nitrogen content, to develop canopy nitrogen content inversion models for maize using three algorithms: backpropagation neural network (BP), support vector machine (SVM), and partial least squares regression (PLSR). …”
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Advancing overbreak prediction in drilling and blasting tunnel using MVO, SSA and HHO-based SVM models with interpretability analysis by Yulin Zhang, Jian Zhou, Jialu Li, Biao He, Danial Jahed Armaghani, Shuai Huang

“…Existing models, including empirical, statistical, and machine learning approaches, often fall short in terms of generalizability and accuracy. …”
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Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study by Zilei Tian, Ziyang Ma, Beihong Dou, Xiaopeng Huang, Guangsen Li, Degui Chang, Tao Yin, Peihai Zhang

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An Improved Decline Curve Analysis Method via Ensemble Learning for Shale Gas Reservoirs by Yu Zhou, Zaixun Gu, Changyu He, Junwen Yang, Jian Xiong

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Estimating Subsurface Thermohaline Structure in the Tropical Western Pacific Using DO-ResNet Model by Xianmei Zhou, Shanliang Zhu, Wentao Jia, Hengkai Yao

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