Evaluation of Baby Leaf Products Using Hyperspectral Imaging Techniques by Antonietta Eliana Barrasso, Claudio Perone, Roberto Romaniello

Get full text

A Highly Efficient HMI Algorithm for Controlling a Multi-Degree-of-Freedom Prosthetic Hand Using Sonomyography by Vaheh Nazari, Yong-Ping Zheng

“…We first evaluated the accuracy of our model in classifying nine different hand gestures to determine its reliability and precision. …”
Get full text

Combining the SHAP Method and Machine Learning Algorithm for Desert Type Extraction and Change Analysis on the Qinghai–Tibetan Plateau by Ruijie Lu, Shulin Liu, Hanchen Duan, Wenping Kang, Ying Zhi

“…For regional desertification control and sustainable development, it is critical to quickly and accurately understand the distribution pattern and spatial and temporal changes of deserts. In this work, five different machine learning algorithms are used to classify different desert types on the Qinghai–Tibetan Plateau (QTP), and their classification performance is evaluated on the basis of their classification results and classification accuracy. …”
Get full text

Comparative Model Efficiency Analysis Based on Dissimilar Algorithms for Image Learning and Correction as a Means of Fault-Finding by Joe Benganga, Tshepo Kukuni, Ben Kotze, Lepekola Lenkoe

“…Additionally, two data transfer models were evaluated against “our model”. The results demonstrate that VGG16 performed better in terms of data accuracy than both the testing and training models, while the Resnet_50 algorithm performed poorly in terms of the loss encountered compared to the other three algorithms.…”
Get full text

Generic optimal power flow solution associated with technical improvements and emission reduction by multi-objective ARO algorithm by Amlak Abaza, Ragab A. El-Sehiemy, Zakeria Elbarabry, Asmaa F. Barakat

“…The effectiveness of the proposed algorithm is evaluated through a comprehensive comparison study with the existing works in the literature. …”
Get full text

Multi-objective optimization of a novel control algorithm and scheduling procedure for optimal use of energy storage systems by Amirhossein Hamzeiyan, Armin Ebrahimi

“…These scenarios were designed to explore the algorithm's adaptability to different operating conditions and to evaluate its effectiveness across varying system constraints. …”
Get full text

Comparing supervised classification algorithm–feature combinations for Spartina alterniflora extraction: a case study in Zhanjiang, China by Qiujie Chen, Qiujie Chen, Chunyan Shen, Hong Du, Danling Tang

“…According to visual interpretation, the area of S. alterniflora increased by 3.35 ha over a 5-year period, indicating a growth rate of 5.13%. By evaluating the accuracy of different classification methods and features, this research can facilitate S. alterniflora extraction and provide support for mangrove conservation efforts.…”
Get full text

Effect of the exposure to brominated flame retardants on hyperuricemia using interpretable machine learning algorithms based on the SHAP methodology. by Yu Cai, Xi-Ru Huang, Sheng-Jia Wang, Ying-Chao Liang, De-Liang Liu, Shu-Fang Chu, Hui-Lin Li

Get full text

Application of Machine Learning to Statistical Evaluation of Artificial Rainfall Enhancement by Li Dan, Lin Wen, Liu Qun, Feng Hongfang, Hu Shuping, Wang Zhihai

“…Different historical regression statistical test schemes of rainfall enhancement effects are compared and analyzed, aiming to further optimize the best natural rainfall estimation algorithm based on alterable contrast area with statistical method, which can provide reference for the assessment of artificial rainfall enhancement effects. …”
Get full text

Application of Machine Learning Algorithms for Predicting the Dynamic Stiffness of Rail Pads Based on Static Stiffness and Operating Conditions by Isaac Rivas, Jose A. Sainz-Aja, Diego Ferreño, Víctor Calzada, Isidro Carrascal, Jose Casado, Soraya Diego

Get full text

A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes by Shuheng Yang, Ralf Weiskirchen, Wenjing Zheng, Xiangxu Hu, Aibiao Zou, Zhiguo Liu, Hualin Wang

Get full text

Evaluating the Stability of Numerical Schemes for Fluid Solvers in Game Technology by Craig R. Stark, Declan A. Diver

“…To exemplify the method to evaluate numerical stability, a range of finite difference schemes is considered. …”
Get full text

Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load by Toan Pham-Bao, Vien Le-Ngoc

Get full text

Information Diffusion Interpolation Model Based on the PSO-CV Algorithm and Its Application on Source Regions of the Yellow River by HUANG Huaping, YIN Kaixia, JIN Gaoyang

Get full text

A Linear Regression Prediction-Based Dynamic Multi-Objective Evolutionary Algorithm with Correlations of Pareto Front Points by Junxia Ma, Yongxuan Sang, Yaoli Xu, Bo Wang

“…The Dynamic Multi-Objective Evolutionary Algorithm (DMOEA) is an effective way for solving DMOPs. …”
Get full text

Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data by Jozef Rusin, Thomas Lavergne, Anthony P. Doulgeris, K. Andrea Scott

“…Passive-microwave sea ice concentration (SIC) algorithms employ different frequencies and polarisations in their operational implementations. …”
Get full text

Dynamical analysis of fractional hepatitis B model with Gaussian uncertainties using extended residual power series algorithm by Qursam Fatima, Mubashir Qayyum, Murad Khan Hassani, Ali Akgül

“…The robustness of the model is further evaluated using r-cut values for lower and upper bounds.A graphical analysis is also performed to examine the influence of different parameters on the solution profiles, enhancing the understanding of disease dynamics. …”
Get full text

SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS by V. M. Deundyak, M. A. Zhdanova

“…The solution is based on Shun-Zheng Yu forward algorithm for a general hidden semi-Markov model. This approach differs from the traditional one and employs posterior probabilities. …”
Get full text

Predicting Diabetes Mellitus with Machine Learning Techniques by Heba Ahmed Jassim, Omar R. Kadhim, Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong

“…The Diabetes Prediction Dataset is used to evaluate four machine learning algorithms. The classifier that deserves a singular mention is the Artificial Neural Network (ANN), which achieves a 97% accuracy rate. …”
Get full text

Detecting Anomalies in CPU Behavior Using Clustering Algorithms from the Scikit-Learn Library in Python Programming Language by Artem Turashev, Vladimir Sukhomlin

“…Experiments are conducted on real data obtained from CPU monitoring systems to evaluate the performance and compare the results of different algorithms. …”
Get full text