Advanced evaluation of performance of machine learning models for soapstock splitting optimisation under uncertainty by Bartosz Szeląg, Krzysztof Barbusiński, Michał Stachura, Przemysław Kowal, Adam Kiczko, Eldon R. Rene

“…Multi-criteria optimisation under uncertainty using a genetic algorithm (NSGA II) showed a significant influence of phosphorus content uncertainty on the choice of soapstock splitting operating conditions. …”
Get full text

Machine learning applications in river research: Trends, opportunities and challenges by Long Ho, Peter Goethals

“…With the amount of large data available, these computer algorithms are ever increasing in numerous fields, although there is ongoing scepticism and scholars still question the actual impact and deliverables of algorithms. …”
Get full text

Relationship between depression and coronary artery disease in an open female and male population of a middle-urbanized city of Western Siberia by E. V. Akimova, V. V. Gafarov, E. I. Gakova, A. M. Akimov, M. M. Kayumova

“…To determine the severity of depression, the algorithms of the WHO program MONICA-Psychosocial were used. …”
Get full text

On the implementation of the tools of the integrated marketing communications system at various stages of the organization's life cycle by R. M. Ustaev, A. A. Vasilchenko, K. A. Ibragimbekov, N. B. Uzdenov, K. K. Fanailov

“…A general algorithm for integrating marketing communications in the activities of a modern enterprise with the necessary conditions for implementation is presented. …”
Get full text

Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data by H. T. Rüdisser, A. Windisch, U. V. Amerstorfer, C. Möstl, T. Amerstorfer, R. L. Bailey, M. A. Reiss

“…Out of the 640 ICMEs, 466 were detected correctly by our algorithm, producing a total of 254 false positives. …”
Get full text

Method and application of stability prediction model for rock slope by Yun Qi, Chenhao Bai, Xuping Li, Hongfei Duan, Wei Wang, Qingjie Qi

“…To accurately and efficiently predict the stability state of slopes, we propose a combined model that integrates the Newton–Raphson optimization algorithm (NRBO) with an optimized extreme gradient boosting tree (XGBoost). …”
Get full text

A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis by Qiang Wang, Kaixuan Li, Zihao Gao, Xinyuan Wei, Yaoyu Li, Yangcheng Lv, Wuping Zhang

“…In the measurement experiment, 220 images were used for testing, with manual protractor measurement results as the reference. The algorithm achieved a measurement accuracy of RMSE = 2.93°, MAE = 2.43°, and R2 = 0.94. …”
Get full text

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction by Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham

“…This study suggests a new approach to EEG data classification by exploring the idea of using evolutionary computation to both select useful discriminative EEG features and optimise the topology of Artificial Neural Networks. An evolutionary algorithm is applied to select the most informative features from an initial set of 2550 EEG statistical features. …”
Get full text

Capacity Optimization Configuration of a Bidirectional Reversible Centralized Electrohydrogen Coupling System by Xing FENG, Wei YANG, Anan ZHANG, Xi ZHANG, Qian LI, Xianzhang LEI

“…The solution is solved by combining particle swarm optimization algorithm and CPLEX solver. Finally, through case analysis, it was verified that the addition of RSOC improved the system's economic and environmental benefits. …”
Get full text

A Three-Dimensional Feature Space Model for Soil Salinity Inversion in Arid Oases: Polarimetric SAR and Multispectral Data Synergy by Ilyas Nurmemet, Yilizhati Aili, Yang Xiang, Aihepa Aihaiti, Yu Qin, Bilali Aizezi

“…The random forest (RF) feature selection algorithm identified three optimal parameters: Huynen_vol (volume scattering component), RVI_Freeman (radar vegetation index), and NDSI (normalized difference salinity index). …”
Get full text

Pipeline esophageal varices: Insights from clinical cases and models by Keita Maki, Hiroaki Haga, Kyoko Hoshikawa, Tomohiro Katsumi, Fumiya Suzuki, Fumi Uchiyama, Yoshiyuki Ueno

“…Abstract Objectives While esophageal varices (EVs) are typically treated endoscopically, other options such as interventional radiology or surgical treatment are considered when endoscopic treatment is challenging. …”
Get full text

Seroprevalence rates of transfusion-transmitted infections among blood donors in Jordan by Lina Souan, Faten Tout, Mahmoud Siag, Maher A. Sughayer

“…Donors were screened for HBsAg, anti-HBc, anti-HIV I/II, anti-HCV, and anti-HTLV-I/II using ELISA technique, while syphilis antibodies were detected using rapid chromatographic immunoassay. …”
Get full text

A cost-utility analysis of newborn screening for spinal muscular atrophy in Canada by Alex Pace, Weston Roda, Corrina Poon, Hugh J. McMillan, Maryam Oskoui, Alex MacKenzie, Pranesh Chakraborty, Jeff Round

“…Cost inputs encompassed treatment and health state costs, while utility values reflected quality of life in each health state. …”
Get full text

Mechanical Properties and Fracture Surface Morphology of Quartz Sandstone Under Triaxial Shear by Zhinan LIN, Shihong FENG, Jiaquan WANG, Qiang ZHANG, Haifeng LONG

“…Also, based on the Delaunay point–cloud discretization algorithm, the failure fracture surface of quartz sandstone was reconstructed, and the variation characteristics of its potential contact part with the effective inclination threshold of the surface were analyzed. …”
Get full text

Explainable artificial intelligence to estimate the Sri Lankan (Ceylon) Tea crop yield by Lakindu Mampitiya, Harindu S. Sumanasekara, Namal Rathnayake, Yukinobu Hoshino, Upaka Rathnayake

“…Sri Lanka is one of the most impacted countries due to climate change while its agricultural production is significant in economic contribution. …”
Get full text

MT-EfficientNetV2: A Multi-Temporal Scale Fusion EEG Emotion Recognition Method Based on Recurrence Plots by Zihan Zhang, Zhiyong Zhou, Jun Wang, Hao Hu, Jing Zhao

“…The Recursive Plot (RP) algorithm is then employed to transform these segments into RGB images that intuitively represent the dynamic characteristics of the signals, facilitating the capture of complex emotional features. …”
Get full text

Occlusion mapping reveals the impact of flight and sensing parameters on vertical forest structure exploration with cost-effective UAV based laser scanning by Matthias Gassilloud, Barbara Koch, Anna Göritz

“…Using sensor position reconstruction and a ray tracing algorithm to quantify occlusion, we found that: (1) A larger sensor tilt angle up to 15° increased total occlusion, enhancing exploration in the upper canopy, while decreasing it below due to reduced canopy penetration. (2) Flying multiple azimuthal directions with a linear scanning mode reduced vertical occlusion by up to 15.0% due to improved coverage from diverse perspectives. (3) Lissajous scanning patterns resulted in 10.1% less vertical occlusion compared to linear patterns, underscoring the importance of additional viewing angles. …”
Get full text

Prediction of dengue disease severity among pediatric Thai patients using early clinical laboratory indicators. by James A Potts, Robert V Gibbons, Alan L Rothman, Anon Srikiatkhachorn, Stephen J Thomas, Pra-On Supradish, Stephenie C Lemon, Daniel H Libraty, Sharone Green, Siripen Kalayanarooj

“…A diagnostic algorithm using WBC count, percent monocytes, platelet count, and hematocrit achieved 97% sensitivity to identify patients who went on to develop DSS while correctly excluding 48% of non-severe cases. …”
Get full text

Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review by Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo De Paiva, Ishak Pacal, Antonio Cunha

“…Despite notable advancements, challenges such as algorithm robustness and effective human-AI collaboration are identified. …”
Get full text

Predicting Prognosis of Early-Stage Mycosis Fungoides with Utilization of Machine Learning by Banu İsmail Mendi, Hatice Şanlı, Mert Akın Insel, Beliz Bayındır Aydemir, Mehmet Fatih Atak

“…The results suggest that ML algorithms may be useful in predicting prognosis in early-stage MF patients.…”
Get full text