Cyber-Physical Test Environment for the Identification of Interacting Wear Effects in Feed Axes by Alexander Bott, Robin Stöbel, Gregor Osen, Jürgen Fleischer

“…For a comprehensive optimization and control of production processes, cyber-physical systems are necessary to include machines' time-dependent properties. …”
Get full text

Integration of UAV Multi-Source Data for Accurate Plant Height and SPAD Estimation in Peanut by Ning He, Bo Chen, Xianju Lu, Bo Bai, Jiangchuan Fan, Yongjiang Zhang, Guowei Li, Xinyu Guo

“…This study aimed to develop an optimized estimation framework for peanut plant height and SPAD values through machine learning-driven integration of UAV multi-source data while evaluating model generalizability across temporal and spatial domains. …”
Get full text

Natural Frequency Characteristic and Sensitivity Analysis of Heavy Load RV Reducer based on Dynamics Model by Ren Jun Yan Zicheng Zhang Qianghao He Wenhao

“…A 16-DOF heavy-load RV reducer dynamics model is established by the lumped parameter method. …”
Get full text

Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network. by Jiaqing Huang, Yang Liu, Miaomiao Tu, Osama Sohaib

“…This study proposes a hybrid model-Genetic Algorithm-optimized Fuzzy Neural Network (GA-FNN)-to enhance bank risk identification within this context. …”
Get full text

An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection by Adam Kadi, Aymene Selamnia, Zakaria Abou El Houda, Hajar Moudoud, Bouziane Brik, Lyes Khoukhi

“…To the best of our knowledge, this is the first study to comprehensively evaluate the performance impact of different quantum encoding methods and provide a thorough evaluation of their impacts on the overall model performances. To achieve this, we first present a comprehensive evaluation of quantum and classical data encoding techniques, focusing on four key encoding techniques namely, Amplitude Embedding, Angle Embedding, Instantaneous Quantum Polynomial (IQP) Encoding, and Quantum Approximate Optimization Algorithm (QAOA) Embedding. …”
Get full text

Detection of kidney bean leaf spot disease based on a hybrid deep learning model by Yiwei Wang, Qianyu Wang, Yue Su, Binghan Jing, Meichen Feng

“…However, traditional machine learning methods face limitations in feature extraction, while deep learning approaches, despite their advantages, are computationally expensive and do not always yield optimal results. …”
Get full text

Cognitive Handwriting Insights for Alzheimer’s Diagnosis: A Hybrid Framework by Shafiq Ul Rehman, Uddalak Mitra

“…Hence, integrating the output of unsupervised learning into supervised machine learning models significantly improved their performance. …”
Get full text

Predictive optimization using long short-term memory for solar PV and EV integration in relatively cold climate energy systems with a regional case study by Tao Hai, Ali B. M. Ali, Diwakar Agarwal, Ankit Punia, Megha Jagga, Ali E. Anqi, M. Ahmedi, Husam Rajab, Narinderjit Singh Sawaran Singh, Mohammad Taghavi

“…It then evaluates the potential for solar energy generation from photovoltaic systems. Finally, a machine learning-based approach (i.e., LSTM, Long Short-Term Memory) is employed to optimize the management of energy supply and demand across the community. …”
Get full text

Towards automatic US-MR fetal brain image registration with learning-based methods by Qi Zeng, Weide Liu, Bo Li, Ryne Didier, P. Ellen Grant, Davood Karimi

Get full text

Non-destructive detection of spotted wing Drosophila infestation in blueberry fruit using hyperspectral imaging technology by Xinyang Mu, Yuzhen Lu

Get full text

Functionalization of biochar using SDS/SAP nanomicelles enhanced its immobilization capacity for dyes and heavy metals in water by Kun Tian, Chunping Li, Huiming Liu, Lianchun Wang

“…Cost analysis manifests that the SDMBC are high efficiency and cheap eco-adsorbents compared with commercial activated carbon, and the SDMBC dosage required for the removal of 99% of a fixed amount of MB in different volumes of effluent was predicted. Seven machine learning (ML) models were used to predict the MB (60 mg/L) adsorption of the SDMBC, using Shapley Additive Explanations (SHAP) for model interpretation. …”
Get full text

Computed Tomography-Based Radiomics Diagnostic Model for Fat-Poor Small Renal Tumor Subtypes by Seokhwan Bang, Heehwan Wang, Hoyoung Bae, Sung-Hoo Hong, Jiook Cha, Moon Hyung Choi

“…These results outperformed other single-phase CT radiomic feature-based machine learning models trained with 20% of principal components. …”
Get full text

An Analytical Model for Aerostatic Thrust Bearings Based on the Average Pressure of the Area Surrounded by Orifice by Jian Zheng, Jianwei Wu, Huan Liu, Jiyao Wang, Pengyue Zhao

“…Aerostatic thrust bearings are widely used in advanced equipment such as lithography machines due to their excellent lubrication performance. …”
Get full text

Analysis and Solutions to Environmental Problems in Livestock Farming by A. Yu. Bryukhanov, V. D. Popov, E. V. Vasilev, E. V. Shalavina, R. A. Uvarov

“…To work with liquid organic fertilizers, intelligent machines with low-emission working bodies have been developed to reduce nitrogen losses during application by up to 50 percent. …”
Get full text

A comparative analysis of five land surface temperature downscaling methods in plateau mountainous areas by Ju Wang, Ju Wang, Ju Wang, Bo-Hui Tang, Bo-Hui Tang, Bo-Hui Tang, Bo-Hui Tang, Xinming Zhu, Xinming Zhu, Xinming Zhu, Dong Fan, Dong Fan, Dong Fan, Menghua Li, Menghua Li, Menghua Li, Junyi Chen, Junyi Chen, Junyi Chen

“…Particle Swarm Optimization (PSO) was introduced to optimize hyperparameters of three machine learning methods. …”
Get full text

Calculation Model of Multi-roll Straightening Process Based on Bilinear Hardening and Power Hardening by ZHU Xiaoyu, CHENG Zixing, WANG Xiaogang, HAN Peisheng

“…The goal is to support the development of straightening techniques for new materials and provide a theoretical basis for intelligent straightening and optimal design of straightening machines.MethodsThree material models—ideal elastic-plastic, bilinear hardening, and power hardening—were selected, and the curvature-moment (M‒K) relationships for these materials during bending were derived. …”
Get full text

Analysis and Reduction of Cogging Torque of Permanent Magnet Synchronous Wind Generators Based on the Magnetic Field Modulation Mechanism by Zexing Li, Chao Liu, Yiwen Fan, Zixuan Zhang, Jiakuan Xia

Get full text

Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy. by Xiaohua Zeng, Changzhou Liang, Qian Yang, Fei Wang, Jieping Cai

“…However, manual tuning of LSTM parameters significantly impacts model performance. PSO-LSTM model leveraging PSO's efficient swarm intelligence and strong optimization capabilities is proposed in this article. …”
Get full text

DEM simulation of subsoiling in tropical sugarcane fields: Effects of opposing subsoiler design and model parameters by Lijiao Wei, Weihua Huang, Jian Liu, Ming Li, Zhenhui Zheng, Shuo Wang, Dongjie Du, Yuan Zhang

“…Finally, a multi-factor orthogonal rotation combination experiment was designed using Box-Behnken theory to optimize the subsoiler's structural parameters. The regression analysis results show that the optimized model significantly improves the reliability of simulation results. …”
Get full text

Hybrid Deep Learning for Fault Diagnosis in Photovoltaic Systems by Mouaad Bougoffa, Samir Benmoussa, Mohand Djeziri, Olivier Palais

“…Results demonstrate state-of-the-art performance, with the model achieving 99.82% accuracy, 99.7% precision, 99.4% sensitivity, and 100% specificity, outperforming traditional machine learning and deep learning approaches. …”
Get full text