Systematic Review of Usability Factors, Models, and Frameworks with Blockchain Integration for Secure Mobile Health (mHealth) Applications by Irum Feroz, Nadeem Ahmad

“…Findings from RQ2 highlighted gaps in usability models, such as the lack of age-specific guidance for multimodal interaction, error recovery, and data privacy. These results underscore the need to define a new usability framework and incorporate blockchain to meet the unique needs of older adults in mHealth applications, supporting both secure and accessible healthcare management.…”
Get full text

Artificial Neural Network and Ensemble Models for Flood Prediction in North-Central Region of Nigeria by Sikiru Abdulganiyu Siyanbola, Aisha Olabisi Sowemimo, Zaid Habibu, Timothy Ebuka Eberechukwu

“…Methods: Meteorological data from the NASA POWER website and flood occurrence data from the Centre for Research on the Epidemiology of Disasters websites were collected. …”
Get full text

SABO-ELM model for remaining life prediction of lithium-ion batteries under multiple health factors by Jiabo LI, Zhonglin SUN, Di TIAN, Zhixuan WANG

“…Experimental results show that the approach outperforms alternatives such as long short-term memory (LSTM), ELM, and beluga whale optimization (BWO) for ELM at different prediction starting points.This method has good accuracy in predicting the mean absolute percentage error (MAPE) and root mean square error (RMSE) of RUL in B05, B06, and B07 data sets and is the least error-prone among all models. …”
Get full text

Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…We design an iterative algorithm to update the parameters alternately and test it over benchmark data sets of abnormal behavior detection in video, Amazon product reviews sentiment analysis, etc.…”
Get full text

A Computing Method to Determine the Performance of an Ionic Liquid Gel Soft Actuator by Bin He, Chenghong Zhang, Yanmin Zhou, Zhipeng Wang

“…The five-parameter and nine-parameter Mooney-Rivlin models of the ILG with a ZrO2 content of 3 wt% were obtained by uniaxial tensile testing, and the parameters are denoted as c10, c01, c20, c11, and c02 and c10, c01, c20, c11, c02, c30, c21, c12, and c03, respectively. Through the analysis and comparison of the uniaxial tensile stress between the calculated and experimental data, the error between the stress data calculated from the five-parameter Mooney-Rivlin model and the experimental data is less than 0.51%, and the error between the stress data calculated from the nine-parameter Mooney-Rivlin model and the experimental data is no more than 8.87%. …”
Get full text

Enterprise power emission reduction technology based on the LSTM–SVM model by Li Kun, Su Meng, Liu Qiang, Zhang Bin

“…In terms of research methods, load type analysis is first conducted for industrial enterprises, followed by the introduction of long short-term memory (LSTM) networks to build a basic model for power data prediction. …”
Get full text

Modeling Solar Spectral Irradiance from Iron Lines Using the CODET Model Version 1.1 by Jenny M. Rodríguez-Gómez

“…The model described well observational data during that period, with less than 20% error in both wavelengths. …”
Get full text

Research on Spatial Coordinate Estimation of Karst Water-Rich Pipelines Based on Strapdown Inertial Navigation System by Zhihong Tian, Wei Meng, Xuefu Zhang, Bowen Wan

“…This study employs ESKF filtering to process the data collected by the SINS, ensuring the robustness and accuracy of the data. …”
Get full text

A Transformation of the Way of Thinking: Key Principles in Programming Education Inspired by Pascal by Valentina Dagienė, Gintautas Grigas, Tatjana Jevsikova

Get full text

Optimal Subsampling for Upper Expectation Parametric Regression by Zhaolei Liu

“…In classic regression analysis, the error term of the model typically conforms to the requirement of being independent and identically distributed. …”
Get full text

Deep Learning and Time Series for the Prediction of Monthly Precipitation. A Case Study in the Department of Boyacá, Colombia by Yesid Esteban Duarte, Marco Javier Suárez Barón, Oscar Javier García Cabrejo, César Augusto Jaramillo Acevedo, Carlos Augusto Meneses Escobar

“…Objectives: The goal of this time series analysis is to predict monthly precipitation and develop accurate models that can forecast future rainfall patterns based on historical data. …”
Get full text

Experimental Research on a Frost-free Air Source Heat Pump by Qiu Junjun, Zhang Xiaosong, Li Weihao

“…Based on the experimental results, the regeneration mode and regression analysis of the experimental data were obtained. The relative error of the two formulaswas relatively low, which exhibited a high degree of fitting. …”
Get full text

Processing of Polymers Stress Relaxation Curves Using Machine Learning Methods by Anton S. Chepurnenko, Tatiana N. Kondratieva, Ebrahim Al-Wali

“…Tables of initial data for training models for all samples are presented, a statistical analysis of the characteristics of the initial data sets is carried out. …”
Get full text

Analytical Validation of Wrist-Worn Accelerometer-Based Step-Count Methods during Structured and Free-Living Activities by Robert T. Marcotte, Shelby L. Bachman, Yaya Zhai, Ieuan Clay, Kate Lyden

“…During free-living activities, the method relying on frequency analysis exhibited the lowest percent error of all methods. …”
Get full text

Time series generation model based on multi-discriminator generative adversarial network by Yanhui LU, Han LIU, Hang LI, Guangxu ZHU

“…Aiming at the problems of expensive collection cost and missing data due to the privacy and continuity of time series data set, a multi-discriminator generative adversarial network model based on recurrent neural network was proposed, which could synthesize time series dataset that were approximately distributed with real data of a small scale dataset.Multi-discriminator included four discriminators in time domain, frequency domain, time-frequency domain and autocorrelation.Different discriminators could effectively recognize the features of the time series in different domains.In the experiment, the convergence of loss function, principal component analysis and error analysis were performed to evaluate the performance of the model from qualitative and quantitative perspectives.The experimental results show that the proposed model has better performance than other reference models.…”
Get full text

基于灰色预测理论的加速试验数据可靠性评估模型 by 蒋玉婷, 程世娟, 殷泽凯

“…At the case where the amount of failure data is small and the acceleration model is difficult to be determined,it is difficult for the traditional model to make a more accurate assessment of the testing results.Based on the grey prediction theory,the constant-experience data of life-obeying Weibull distribution was analyzed.The stress-related weights were used to generate background values to complement the missing data,and an equally spaced gray prediction model was established to correct the parameters of the accelerated life prediction model in this work.The analysis of the example indicated that the gray acceleration testing data evaluation model had a small relative error and high prediction accuracy.…”
Get full text

A comparison of acoustic monitoring methods for common anurans of the northeastern United States by Corinne L. Brauer, Therese M. Donovan, Ruth M. Mickey, Jonathan Katz, Brian R. Mitchell

“…However, increased automation may cause increased error. We collected 435 min of audio data with 2 types of ARUs at 10 wetland sites in Vermont and New York, USA, from 1 May to 1 July 2010. …”
Get full text

Predicting spatio-temporal dynamics of dengue using INLA (integrated nested laplace approximation) in Yogyakarta, Indonesia by Marko Ferdian Salim, Tri Baskoro Tunggul Satoto, Danardono

“…Predictors included rainfall, temperature, humidity, wind speed, atmospheric pressure, population density, and land use patterns. Data analysis was performed using R-INLA, with model performance assessed using Deviance Information Criterion (DIC), Watanabe-Akaike Information Criterion (WAIC), marginal log-likelihood, Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). …”
Get full text

Epidemiological trends of hepatitis C incidence and death in Mainland China between 2004 and 2018 and its predictions to 2030 by Guo Tian, Yang Zheng, Yinghua He, Can Chen, Xiaobao Zhang, Yuxia Du, Shigui Yang, Tianan Jiang, Lanjuan Li

“…Methods HCV monthly incidence surveillance data from 2004 to 2018 was mainly available from the Public Health Sciences Data Center of China. …”
Get full text

Power Assessment and Performance Comparison of Wind Turbines Driven by Multivariate Environmental Factors by Bubin Wang, Bin Zhou, Denghao Zhu, Mingheng Zou, Zhao Rao, Haoxuan Luo, Weihao Ji

“…To address these limitations, this study develops a novel multivariate environmental factor-driven power assessment framework employing segmented long short-term memory (LSTM) models. A hybrid data cleaning method, combining bidirectional quartile analysis with the power curtailment detection, is proposed to effectively identify outliers, including subtle anomalies within typical data ranges. …”
Get full text