New Circumpapillary Retinal Nerve Fiber Layer Thickness and Bruch’s Membrane Opening-Minimum Rim Width Assessment in Nonglaucomatous Eyes with Large Discs by Serife Bayraktar, Gulnar Sultanova, Zafer Cebeci, Emre Altinkurt, Belgin Izgi

“…The new circumpapillary RNFL scanning algorithm centered on BMO is better to assess the RNFL thickness and BMO-MRW in large discs for the early diagnosis of glaucoma.…”
Get full text

OPTIMISASI PARAMETRIK FASAD BILAH HORIZONTAL TERHADAP PENCAHAYAAN ALAMI DENGAN METRIK USEFUL DAYLIGHT ILLUMINANCE (UDI) DI KOTA LHOKSEUMAWE by Atthaillah Atthaillah, Rizki Armanto Mangkuto

“…Metode optimasi dengan Genetic Algorithm (GA) dengan Galapagos digunakan untuk mendapatkan solusi-solusi rotasi dan lebar bilah yang optimal terhadap pencahayaan alami.  …”
Get full text

Palette-based image recoloring based on moving least squares(基于移动最小二乘的图像重着色) by 周家伟(ZHOU Jiawei), 黄子康(HUANG Zikang), 彭俊豪(PENG Junhao), 李盛善(LI Shengshan), 刘晓静(LIU Xiaojing), 杜正君(DU Zhengjun)

“…Specifically, we first employ an improved K-means algorithm to extract the palette of the input image. …”
Get full text

Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…In this study, four deep convolutional neural network models were designed with Occam's razor principle through hyperparameter settings on the algorithm structure aspect in the form of number of layers and optimization aspect in the form of optimizer type. …”
Get full text

Prediction of implant failure risk due to periprosthetic femoral fracture after primary elective total hip arthroplasty: a simplified and validated model based on 154,519 total hip... by M. A. Alagha, Justin Cobb, Alexander D. Liddle, Henrik Malchau, Ola Rolfson, Maziar Mohaddes

“…Future studies are required to externally validate our algorithm and assess its applicability in clinical practice. …”
Get full text

Advancing presurgical non-invasive spread through air spaces prediction in clinical stage IA lung adenocarcinoma using artificial intelligence and CT signatures by Guanchao Ye, Guangyao Wu, Yiying Li, Chi Zhang, Lili Qin, Lili Qin, Jianlin Wu, Jun Fan, Yu Qi, Fan Yang, Yongde Liao

“…We utilized the LightGBM algorithm to construct prediction models using the selected features. …”
Get full text

Developing a Label-Free Infrared Spectroscopic Analysis with Chemometrics and Computational Enhancement for Assessing Lupus Nephritis Activity by Mei-Ching Yu, Xiang-Di Huang, Chin-Wei Kuo, Kai-Fu Zhang, Ping-Chung Liang, U-Ser Jeng, Pei-Yu Huang, Frederick Wai Keung Tam, Yao-Chang Lee

“…We propose that this algorithm-assisted, IR-based approach can augment the patient-centric care of LN patients, particularly by focusing on changes in serum IgG glycosylation.…”
Get full text

Automated quantification of anterior chamber cells using swept-source anterior segment optical coherence tomography by Shani Pillar, Shin Kadomoto, Keren Chen, Saitiel Sandoval Gonzalez, Nina Cherian, Joseph K. Privratsky, Nicolette Zargari, Nicholas J. Jackson, Giulia Corradetti, Judy L. Chen, SriniVas R. Sadda, Gary N. Holland, Edmund Tsui

“…A fully automated custom algorithm quantified the number of hyper-reflective foci (HRF) in line-scan images. …”
Get full text

Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV h... by Anqi He, Zhanghua Xu, Yifan Li, Bin Li, Xuying Huang, Huafeng Zhang, Xiaoyu Guo, Zenglu Li

“…This study utilizes the Recursive Feature Elimination (RFE) algorithm to investigate hyperspectral remote sensing characteristics of P. phyllostachysae in Moso bamboo forests. …”
Get full text

Associations between hypovitaminosis D, adiposity indices and insulin resistance in adolescents: mediation analyses from NHANES 2011–2018 by Yaping Deng, Yingting Luo, Yilei Shen, Yong Zhao, Wei Cao, Jie Cao, Lijuan Xu, Lin Kong

“…We employed the XGBoost algorithm to identify key factors significantly influencing IR, thereby deepening our insight into the link between adiposity and insulin resistance. …”
Get full text

Pre-Hospital Point-of-Care Troponin: Is It Possible to Anticipate the Diagnosis? A Preliminary Report by Cristian Lazzari, Sara Montemerani, Cosimo Fabrizi, Cecilia Sacchi, Antoine Belperio, Marilena Fantacci, Giovanni Sbrana, Agostino Ognibene, Maurizio Zanobetti, Simone Nocentini

“…The rationale of the HEART POCT study is to propose the application of the 0/1 h European Society of Cardiology (ESC) algorithm in the pre-hospital setting using a POCT device (Atellica VTLi). …”
Get full text

Machine learning-based identification and validation of amino acid metabolism related genes as novel biomarkers in chronic kidney disease by Guoqing Zhang, Hongyan Luo, Xiaohua Lu, Yonghua Liu, Mei Wang, Bo Li, Haixia Lu, Yali Zheng

“…Moreover,we employed ssGSEA algorithm to evaluate the infiltration abundance of immune cells and calculated the correlation among the immune cells with the key genes. …”
Get full text

Détection automatique des parcelles sur les plans napoléoniens : comparaison de deux méthodes by Jean-Michel Follin, Élisabeth Simonetto, Anthony Chalais

“…In this article, we focus on the automatic vectorisation of the parcels’ shapes and assess the respective merits of two methods we tested: the first based on the Probabilistic Hough Transform (PHT) and the second on the Line Segment Detector (LSD) algorithm. After explaining how we implemented these two methods, we present the results, which show that the LSD approach performs better on the oldest cadastre sheets.…”
Get full text

An Efficient Contact Model for the Simulation of Cargo Airdrop Extraction Phase by Leiming Ning, Jichang Chen, Mingbo Tong

“…Moreover, the aircraft-cargo coupling algorithm is discussed in detail, and some practical implementation details are presented. …”
Get full text

Research on Data Mining of Sports Wearable Intelligent Devices Based on Big Data Analysis by Xing Zong, Chenfei Zhang, Dengpan Wu

“…Based on this, this paper studies the mining method of dynamic motion data based on neural network, constructs a data mining model based on discrete dynamic modeling technology, and realizes the collection of data information from the aspects of motion characteristics and types combined with multilayer sensors. Neural network algorithm is used for comprehensive analysis to realize multivariate analysis and objective evaluation of all data of dynamic motion process and accurate analysis and evaluation according to different data characteristics of different types of motion data. …”
Get full text

Lower Limb Rehabilitation Using Patient Data by Alireza Rastegarpanah, Mozafar Saadat

“…Based on kinematic and dynamic analysis of a 6-DoF UPS parallel robot, an algorithm was developed in MATLAB to calculate the length of the actuators and their required forces during all trajectories. …”
Get full text

Systematic Approach toward the Clinical Diagnosis of Functional Dyspepsia by Pierre Paré

“…According to the clinical characteristics of the three most frequent causes of dyspepsia (peptic ulcer, gastroesophageal reflux and FD) and acknowledging that these conditions may coexist rather than overlap in some patients, an algorithm is suggested for establishing a working diagnosis of FD and indications for investigation, and initiating a management strategy.…”
Get full text

Application of the Moment Of Inertia method to the Critical-Plane Approach by Hao Wu, Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro

“…An efficient computer code with the shear-shear version of the MOI algorithm is also provided in this work. KEYWORDS. …”
Get full text

MULTI-PARAMETER OPTIMIZATION DESIGN OF MINING TRUCK’S CAB BASED ON ORTHOGONAL EXPERIMENTAL by LI WeiPing, FENG ZiNong, SHAN XiLe, KANG Jin

“…On the basis of these data, the design parameters which had more important influence were chosen as optimization variables, an approximate model between design variables and response was built by using TPS-HDMR, then get the optimized solutions by using NSGA-II genetic algorithm, The optimized results was verified. The experimental results agreed well with the simulation results, which can meet the requirements of the enterprise.…”
Get full text

MULTI-OBJECTIVE OPTIMAL DESIGN OF ALUMINUM CELL by YANG EChuan, HUANG Lu, PANG Tong, ZHANG ZhenHua, YUAN TianXun

“…The orthogonal experiment was completed with full factor experimental design method,and the nine-lattice energy absorption box was determined as a follow-up research object,explore the effect of wall thickness on the crashworthiness of crash box,A neural network model was used to construct the proxy model,and the multi-objective optimization design was completed using the NSGA-II genetic algorithm. For the optimized nine-lattice energy absorption box,The energy absorption was increased,the peak crushing force was reduced and the lightweight is achieved.…”
Get full text