An Improved Artificial Neural Network Model for Effective Diabetes Prediction by Muhammad Mazhar Bukhari, Bader Fahad Alkhamees, Saddam Hussain, Abdu Gumaei, Adel Assiri, Syed Sajid Ullah

“…This paper develops an improved ANN model trained using an artificial backpropagation scaled conjugate gradient neural network (ABP-SCGNN) algorithm to predict diabetes effectively. For validating the performance of the proposed model, we conduct a large set of experiments on a Pima Indian Diabetes (PID) dataset using accuracy and mean squared error (MSE) as evaluation metrics. …”
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Classification of Continuous Sky Brightness Data Using Random Forest by Rhorom Priyatikanto, Lidia Mayangsari, Rudi A. Prihandoko, Agustinus G. Admiranto

“…This study aims to develop a classification model based on Random Forest algorithm and to evaluate its performance. Using sky brightness data from 1250 nights with minute temporal resolution acquired at eight different stations in Indonesia, datasets consisting of 15 features were created to train and test the model. …”
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Optimization configuration method of integrated energy system for reliability improvement of distribution network by SHI Mingming, MIAO Huiyu, GUO Jiahao, JIANG Yunlong, XIAO Xiaolong

“…Then, based on the NSGA-Ⅱ (non-dominated sorting genetic agorithm Ⅱ) multi-objective optimization algorithm, the equipment capacity and access point location of IES are optimized with the objective of the economy and reliability of IES and distribution network respectively, and the optimal scheme under different planning scenarios is selected in Pareto solution set by utility function. …”
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Robust Optical and SAR Image Registration Using Weighted Feature Fusion by Ao Luo, Anxi Yu, Yongsheng Zhang, Wenhao Tong, Huatao Yu

“…To verify the effectiveness of the method, different optical and SAR datasets are used to compare it with the currently advanced algorithms MOGF, CFOG, and FED-HOPC. …”
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Phenotypic heterogeneity and diagnostic features of transthyretin amyloidosis with polyneuropathy by S. S. Nikitin, S. N. Bardakov, N. A. Suponeva, I. V. Zhirov, T. A. Adyan, D. A. Grishina, R. V. Deev

“…Molecular genetic testing should be considered early in the evaluation of a patient with unexplained peripheral neuropathy and cardiomyopathy. …”
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Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision by YU Xinjie, WU Xiongfei, SHEN Weiliang

“…Then principal component analysis (PCA) and successive projections algorithm (SPA) were respectively applied to extract and select the measured morphological parameters, and then obtained three groups of different characteristic variable sets, which were PCA transformed feature, PCA selected feature, SPA selected feature, respectively. …”
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Automatic detection of pupil reactions in cataract surgery videos. by Natalia Sokolova, Klaus Schoeffmann, Mario Taschwer, Stephanie Sarny, Doris Putzgruber-Adamitsch, Yosuf El-Shabrawi

“…We further investigate the generalization ability of this method on a slightly different dataset without retraining the model. In this evaluation, we achieve the H value of 49.3% with the PL of 18.15 seconds.…”
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Comprehensive Review of Robotics Operating System-Based Reinforcement Learning in Robotics by Mohammed Aljamal, Sarosh Patel, Ausif Mahmood

“…This work focuses on investigating ROS-based RL applications across various domains, aiming to enhance understanding through comprehensive discussion, analysis, and summarization. We base our evaluation on the application area, type of RL algorithm used, and degree of ROS–RL integration. …”
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Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer by Denghui Liu, Lin Zhong, Haiyang Wu, Songyang Li, Yida Li

“…Abstract To enhance high-frequency perceptual information and texture details in remote sensing images and address the challenges of super-resolution reconstruction algorithms during training, particularly the issue of missing details, this paper proposes an improved remote sensing image super-resolution reconstruction model. …”
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Optimized Modeling Strategies for the Parametrization of a Two-Parameter Friction Model Through Inverse Modeling of Conical Tube-Upsetting Tests by Michel Henze, Lena Koch, David Bailly, Marco Teller, Gerhard Hirt

“…It is based on a comparison of the specimen’s outer contour for several points in time throughout the forming process according to the finite element model of the test. An optimization algorithm minimizes the deviation between the experimental and the simulated contour by adapting the friction model parameters. …”
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A fair and efficient two-step procedure for sugarcane properties prediction based on near-infrared spectra by Luiz Alexandre Peternelli, Andréa Carla Bastos Andrade, Cristina Silva Dias, Reinaldo Francisco Teófilo

“…In the first step, the data was split into training and testing sets via the Kernard-Stone algorithm to determine the appropriate pretreatments for the NIR spectra. …”
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Prediction of river dissolved oxygen (DO) based on multi-source data and various machine learning coupling models. by Yubo Zhao, Mo Chen

“…The prediction performance of the model was comprehensively assessed by comparison with other machine learning models using MAE, MSE, MAPE, NSE, KGE and WI evaluation metrics. The model was tested at three different locations and the results showed that the model outperformed the other models, performing as follows: 0.5925, 0.6482, 6.3322, 0.8523, 0.8902, 0.9403; 0.4933, 0.4325, 6.2351, 0.8952, 0.7928, 0.8632; 0.2912, 0.2001, 4.0523, 0.7823, 0.8425, 0.8463 and the PICP values exceed 95%. …”
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A Spatial Crowdsourcing Engine for Harmonizing Volunteers’ Needs and Tasks’ Completion Goals by Maite Puerta-Beldarrain, Oihane Gómez-Carmona, Liming Chen, Diego López-de-Ipiña, Diego Casado-Mansilla, Felipe Vergara-Borge

“…Two approaches are used to test the performance of this solution against different conditions: computer simulations and a real-world experiment with real users, which include a qualitative evaluation. …”
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Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery by Qing Ye, Yaxin Sun, Yaxin Sun, Yaxin Sun

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Geoelectric Models of Lower Cretaceous Deposits of the Latitudinal Ob Region Based on the Results of Multilayer Inversion of Electrical Logging Data by M. I. Epov, S. A. Primakov, K. V. Sukhorukova, D. S. Lezhnin

“…The signals are calculated using a verified finite element algorithm. This naturally takes into account changes in the well diameter and drilling mud resistivity, radial and vertical distribution of electrical properties in the section, different sensitivity of the signals to various elements of the environment around the logging tool, as well as design parameters of the most common Russian electrical logging tools. …”
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Performance Comparison of Two Gene Set Analysis Methods for Genome-wide Association Study Results: GSA-SNP vs i-GSEA4GWAS by Ji-sun Kwon, Jihye Kim, Dougu Nam, Sangsoo Kim

“…Judicious evaluation of the GSA outcomes, perhaps based on multiple programs, is recommended.…”
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Investigating Pedestrian Crossing Patterns at Crossing Locations Based on Trajectory Data Collected by UAV by Ting Fu, Shuke Xie, Rubing Li, Junhua Wang, Lanfang Zhang, Anae Sobhani, Shou’en Fang

“…By using the proposed method, different crossing patterns are extracted and compared. …”
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Batch Cooling Crystallization of a Model System Using Direct Nucleation Control and High-Performance In Situ Microscopy by Josip Budimir Sacher, Nenad Bolf, Marko Sejdić

“…Three DNC experiments were then performed with different setpoints and an upper and lower counts limit. …”
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Deep learning-based object detection and robotic arm grasping by ZHANG Lei, ZHANG Senhui, YAN Song, YUAN Yuan

“…Finally, a grasping quality evaluation was employed to refine the grasping boxes, and the grasping box with the highest confidence score was output. …”
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Random shear resistance of a headed-stud connector in composite steel-concrete beam by Tomasz Domański, Mariusz Maślak

“…In this paper a detailed algorithm for the correct specification of this value is presented in detail. …”
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