Optimizing diabetic retinopathy detection with electric fish algorithm and bilinear convolutional networks by Udayaraju Pamula, Venkateswararao Pulipati, G. Vijaya Suresh, M. V. Jagannatha Reddy, Anil Kumar Bondala, Srihari Varma Mantena, Ramesh Vatambeti

Get full text

Efficient hardware error correction with hybrid on-offline configuration algorithm for optical processor by Zichao Zhao, Huihui Zhu, Qishen Liang, Haoran Ma, Ziyi Fu, Xingyi Jiang, Bei Chen, Yuehai Wang, Tian Chen, Yuzhi Shi, Jianyi Yang

Get full text

Data Uploading and Exchange Algorithm for Mobile Sensor Networks in the City Traffic Environment by Tiaojuan Ren, Yourong Chen, Binbin Zhou, Hexin Lv, Zhangquan Wang, Sen Xu, Lizhe Yu, Zhen Hong

Get full text

Optical detection of single and multiple seeding using an innovative shape-recognition algorithm by Ali Ghaffarnezhad, Hossein Navid, Hadi Karimi

Get full text

An algorithm for the management of chronic obstructive pulmonary disease patients in units of internal medicine by Ombretta Para, Carmen Stabile, Donato Cinquepalmi, Maria Sandra Magnoni, Francesco Nasso, Flavio Tangianu, Mauro Silingardi, Antonella Valerio, Dario Manfellotto, Francesco Dentali

“…Focus is given to the shift from systemic therapy in the acute phase to early in-hospital inhalation triple therapy (inhaled corticosteroids/long-acting muscarinic antagonists/long-acting β agonists) and the need for education in the use of the inhaler. The algorithm was considered useful by most of the participating centers. …”
Get full text

Design and control algorithm of a motion sensing-based fruit harvesting robot by Ziwen CHEN, Yuhang CHEN, Hui LI, Pei WANG

Get full text

Carbon reduction analysis of power system based on carbon emission flow theory: a case study of Shenzhen power grid by Yinjie Li, Ningrui Zhou, Zeqi Zhang

“…Establishing an accurate carbon measurement system has become a critical prerequisite for achieving emission reduction targets in electricity systems. Current carbon measurement methodologies exhibit notable limitations, particularly in addressing the spatiotemporal heterogeneity of carbon emission factors. …”
Get full text

Evaluation of Time-Domain Acoustic Signature in TIG Welding of 5083 Aluminum Alloy: A Methodological Comparison of Feature Reduction Approaches by V M Gautham, A Sumesh, E V Jithin, K Rameshkumar, Dinu Thomas Thekkuden

“…In this scenario, condition monitoring of the weld using machine learning algorithms is a remedy to detect the defects instantly. …”
Get full text

Trend equation prediction in medical and pharmaceutical studies (the example of respiratory diseases development in children in the region) by O. V. Zhukova, S. V. Kononova, T. M. Konyshkina

“…However, mathematical models and computational algorithms for monitoring, predicting incidence, spread and prevention of various nosologies are still to be developed.…”
Get full text

Visualization of Learning Process in Feature Space by Tomohiro Inoue, Noboru Murata, Taiki Sugiura

“…Therefore, we can deepen our understanding of learning algorithms if we can visualize changes in the structure of feature space during the learning process. …”
Get full text

SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

“…In the dimensionality reduction experiments, the overall accuracy of SSMM in any dimension is higher than that of other algorithms. …”
Get full text

Comparison of Geostatistical Kriging Algorithms for Intertidal Surface Sediment Facies Mapping with Grain Size Data by No-Wook Park, Dong-Ho Jang

“…This paper compares the predictive performance of different geostatistical kriging algorithms for intertidal surface sediment facies mapping using grain size data. …”
Get full text

The Construction and Empirical Analysis of the Company’s Financial Early Warning Model Based on Data Mining Algorithms by Aiqun Wang, Hongxiang Yu

Get full text

Models and Algorithms of Conflict Detection and Scheduling Optimization for High-Speed Train Operations Based on MPC by Zhihui Wang, Yonghua Zhou, Deng Liu

“…They are implemented under the mechanism of model predictive control (MPC) over the rolling prediction horizon. …”
Get full text

Algorithm for automatic fatigue crack growth simulation on welded high strength steels by Ricardo Miguel Gomes Simões Baptista, Virginia Infante, João Marques

“…A simpler and more intuitive Python algorithm was developed, to enable the use of the experimental material parameters, to predict the crack propagation path. …”
Get full text

Public perception of accuracy-fairness trade-offs in algorithmic decisions in the United States. by Mehdi Mourali, Dallas Novakowski, Ruth Pogacar, Neil Brigden

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? …”
Get full text

Studying the impact of the Green Deal on the EU economy using Gradient Boosting Algorithm by Frahi Fadila

“…  This study aims to assess the impact of the European Green Deal on the EU economy by employing a Gradient Boosting Algorithm to analyze the influence of various environmental policies. …”
Get full text

Motion Planning and Tracking Control of Autonomous Vehicle Based on Improved A∗ Algorithm by Yunlong Bai, Gang Li, Ning Li

“…To overcome these potential limitations, an improved A∗ algorithm-based motion planning algorithm and a tracking control strategy based on model predictive control theory were proposed in this work. …”
Get full text

Assessment and Validation of a Computer Vision Algorithm for Wildfire Rate of Spread Estimation by Ehsan Ameri, Kyle Awayan, Jeanette Cobian-Iñiguez

“…This study aimed to develop and validate a computer vision algorithm for fire spread estimation. Using visual flame data from laboratory experiments on excelsior and pine needle fuel beds, we explored fire spread predictions for two types of experiments. …”
Get full text

Clustering of High School Students Academic Scores Using K-Means Algorithm by Chairunisa Azzahra, Sriani Sriani

“…This data-driven approach helps schools enhance overall educational quality by adapting teaching methods and policies based on empirical findings.…”
Get full text