Chondrogenic Cancer Grading by Combining Machine and Deep Learning with Raman Spectra of Histopathological Tissues by Gianmarco Lazzini, Mario D’Acunto

“…In particular, in the last years several studies have demonstrated how the diagnostic performances of RS can be significantly improved by employing machine learning (ML) algorithms for the interpretation of Raman-based data. …”
Get full text

Machine learning prediction of 18 date palm polyphenol protection against biomolecular damage by Nashi K. Alqahtani, Tareq M. Alnemr, Rania Ismail, Hosam M. Habib

“…Date extracts possess therapeutic potential, and the combined approach of experimental testing and ML mapping provides a framework for multi-parameter analysis of complex biological systems. However, further in-vivo validation is needed.…”
Get full text

Characterizing Seasonal Variation of the Atmospheric Mixing Layer Height Using Machine Learning Approaches by Yufei Chu, Guo Lin, Min Deng, Hanqing Guo, Jun A. Zhang

“…As machine learning becomes more integrated into atmospheric science, XGBoost has gained popularity for its ability to assess the relative contributions of influencing factors in the atmospheric boundary layer height. …”
Get full text

Radiomics-based Machine Learning Approach to Predict Chemotherapy Responses in Colorectal Liver Metastases by Yuji Miyamoto, Takeshi Nakaura, Mayuko Ohuchi, Katsuhiro Ogawa, Rikako Kato, Yuto Maeda, Kojiro Eto, Masaaki Iwatsuki, Yoshifumi Baba, Toshinori Hirai, Hideo Baba

“…In the training cohort, individual CT texture parameter AUCs ranged from 0.4 to 0.65, while the machine learning analysis incorporating all valid parameters exhibited a significantly higher AUC of 0.94 (p<0.01). …”
Get full text

Explainable machine learning model for predicting compressive strength of CO2-cured concrete by Jia Chu, Bingbing Guo, Taotao Zhong, Qinghao Guan, Yan Wang, Ditao Niu

“…Herein, an explainable machine learning (ML) model was developed to predict the compressive strength of CO2-cured concrete. …”
Get full text

Experimental investigation and predictive modelling of CO2 laser processing of wood-plastic composites (WPCs) by Sharizal Ahmad Sobri, Teoh Ping Chow, Tan Koon Tatt, Mohd Hisham Nordin, Andi Hermawan, Mohd Natashah Norizan

Subjects: Get full text

Crop Classification and Yield Prediction Using Robust Machine Learning Models for Agricultural Sustainability by Abid Badshah, Basem Yousef Alkazemi, Fakhrud Din, Kamal Z. Zamli, Muhammad Haris

“…Using Multivariate Imputation by Chained Equations (MICE) to tackle data restrictions, we gauge wheat production for 2014-2024 and forecast the 2025 yield using machine learning regression models. Once again, using hyper parameter tuning with K-fold cross-validation, Support Vector Regressor (SVR) stands out as the top-performing model, achieving an accuracy of 99.9% with R2 Score. …”
Get full text

Analysis of Flexible Bearing Load Under Various Torque Conditions by Nanxian Zheng, Jia Wang, Miaojie Wu, Huishan Liu, Yourui Tao

Get full text

Vibration Principles Research of Novel Power Electronic Module as Dynamic Vibration Absorber for Chassis-By-Wire by Xiaoyu Ding, Wei Wang, Xinbo Chen

“…For the detailed design of the machine, we build a digital virtual prototype for simulation. …”
Get full text

Research on Dynamic Modelling, Characteristics and Vibration Reduction Application of Hot Rolling Mills Considering the Rolling Process by Zhiwen Lu, Duolong Zhou, Danfeng Yu, Han Xiao

Get full text

Establishment of interpretable cytotoxicity prediction models using machine learning analysis of transcriptome features by You Wu, Ke Tang, Chunzheng Wang, Hao Song, Fanfan Zhou, Ying Guo

“…Cytotoxicity, usually represented by cell viability, is a crucial parameter for evaluating drug safety in vitro. Accurate prediction of cell viability/cytotoxicity could accelerate drug development in the early stage. …”
Get full text

Accelerating defect analysis of solar cells via machine learning of the modulated transient photovoltage by Yusheng Li, Yiming Li, Jiangjian Shi, Licheng Lou, Xiao Xu, Yuqi Cui, Jionghua Wu, Dongmei Li, Yanhong Luo, Huijue Wu, Qing Shen, Qingbo Meng

“…Herein, we are devoted to exploring a solar-cell defect analysis method based on machine learning of the modulated transient photovoltage (m-TPV) measurement. …”
Get full text

Machine learning model for predicting corneal stiffness and identifying keratoconus based on ocular structures by Longhui Li, Yifan Xiang, Xi Chen, Duoru Lin, Lanqin Zhao, Jun Xiao, Zhenzhe Lin, Jianyu Pang, Xiaotong Han, Lixue Liu, Yuxuan Wu, Zhenzhen Liu, Jingjing Chen, Jing Zhuang, Keming Yu, Haotian Lin

“…Eleven features, including ocular structural parameters, intraocular pressure (IOP), and age were used to train ML regression models for predicting the stiffness parameter at first applanation (SP-A1) and the Corvis biomechanical index for Chinese populations (cCBI) measured by a Corvis ST device. …”
Get full text

A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI. by Balraj Preet Kaur, Harpreet Singh, Rahul Hans, Sanjeev Kumar Sharma, Chetna Sharma, Md Mehedi Hassan

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
Get full text

Effect of Bearing Support Parameters on the Radial and Angular Deformation of Rotor Shaft Gear Based on CRDRS Support Configuration with Intermediate Bearing Support by Xiaojie Yuan, Xiaoyu Che, Rupeng Zhu, Weifang Chen

Get full text

Biogas production using zirconium and zinc-based nanocatalysts and evaluation using a predictive modeling approach by Abbas A. Abdullahi, Mustapha D. Garba, Tawfik A. Saleh

Get full text

EDEM-based study on the adjustable feeding parameters of square bale maize straw bale-breaking device. by Tiejun Wang, Tinghe Zhang, Shuai Yu, Hongguang Cui, Ruili Wang

“…One of the primary challenges faced by small rubbing filament machines is the significant variability in material sizes, particularly in the feeding direction. …”
Get full text

Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions by Daniel A. Serino, Evan Bell, Marc Klasky, Ben S. Southworth, Balasubramanya Nadiga, Trevor Wilcox, Oleg Korobkin

“…We show that the machine learning architectures are able to accurately infer initial conditions and EOS parameters, and that the estimated parameters can be used in a hydrodynamics code to obtain density fields, shocks, and material interfaces that satisfy thermodynamic and hydrodynamic consistency. …”
Get full text

Development Research on Integrating CNC Machine Tool with Plasma for Online Surface Heat Treatment by Shao-Hsien Chen, Bo-Ting Wang

“…In this study, the plasma was integrated with a lathe, and the online heat treatment was performed to achieve mechanical strength and hardness, to reduce the machining process and handling. However, for online heat treatment of cast iron FC25, it is important to study the parameters of the lathe and plasma, and the research method is used eventually to optimize the process and reduce the machining cost and machining error. …”
Get full text

Modeling and Simulation of Alternating Multiphase Walking with Two Legs on Human-machine Carrying Exoskeleton by Qi Chen, Fang Liu, Zhizheng Wang

“…In order to study the variation law of kinematic parameters in the process of multi intersection and replacement in the process of human-machine carrying exoskeleton walking，a kinematic model of exoskeleton is established based on D-H coordinate system，and the kinematic expression in the process of walking is calculated by Newton Euler recursive formula. …”
Get full text