Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites by Hailemariam Biratu, Mengistu Gelaw, Kiran Shahapurkar, Venkatesh Chenrayan, Manzoore Elahi M. Soudagar, Vineet Tirth, Ali Algahtani, Tawfiq Al-Mughanam

“…The grey relational analysis- (GRA-) coupled artificial neural network (ANN) hybrid technique was employed for the prediction and validation. It has been observed that a trivial error of 0.49% amidst GRA and ANN estimation is observed.…”
Get full text

Numerical Analysis of Turbulent Combustion in a Model Swirl Gas Turbine Combustor by Ali Cemal Benim, Sohail Iqbal, Franz Joos, Alexander Wiedermann

“…The computational model is observed to provide a fair prediction of the experimental data and predict the increased flashback propensity of syngas.…”
Get full text

Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

“…Abstract This study investigates the use of machine learning models to predict solubility of rivaroxaban in binary solvents based on temperature (T), mass fraction (w), and solvent type. …”
Get full text

Performance of BFRP Retrofitted RCC Piles Subjected to Axial Loads by Anandakumar Ramaswamy, Selvamony Chachithanantham, Seeni Arumugam

“…The effects of retrofitting of RCC pile elements were observed and a mathematical prediction was developed for calculation of retrofitting strength. …”
Get full text

Smart Patch for Non-Invasive Blood Pressure Monitoring in Epileptic Seizure Patients via the Sole by Murtadha Mohammed Mahdi, Sadik Kamel Gharghan, Saleem Lateef Mohammed, Ibrahim Amer Ibrahim

“…These blood pressure changes could be related to the onset of seizures, suggesting that the device and methodology could be combined with other measures to analyze and predict seizure activity. This research offers a non-invasive and comfortable solution for continuous blood pressure monitoring during seizures, which may affect seizure prediction and management. …”
Get full text

A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video Coding by Hongtao Wang, Dong Zhang, Houqiang Li

“…When background slices are discarded, the proposed method uses base layer information to generate the prediction signal of the enhancement layer. Thus, the temporal constraints can be loosened during the encoding process. …”
Get full text

Cytokines in Preterm Delivery: Proposal of a New Diagnostic Algorithm by Grzegorz Raba, Jacek Tabarkiewicz

“…Predicting preterm delivery within 7 days is very important for the proper timing of glucocorticosteroid administration. …”
Get full text

Many Local Pattern Texture Features: Which Is Better for Image-Based Multilabel Human Protein Subcellular Localization Classification? by Fan Yang, Ying-Ying Xu, Hong-Bin Shen

“…Human protein subcellular location prediction can provide critical knowledge for understanding a protein’s function. …”
Get full text

Educational data mining in medical education: A five-level approach by Zohreh Khoshgoftar, Maryam Babaee, Arian K. Rouzbahani, Masomeh Kalantarion

“…EDM by extracting data makes it easier to describe and predict educational trends, which can guarantee the success of medical education more than before.…”
Get full text

Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations by Younghyun Lee, David K. Han, Hanseok Ko

“…The weak classifier of the proposed method produces real-valued predictions while that of the conventional Adaboost method produces integer valued predictions of +1 or −1. …”
Get full text

Prognostic Analysis of Driving Style: The Significance of Demographic and Cognitive Factors by Justina Slavinskienė, Auksė Endriulaitienė

“…An interactive, video-based hazard prediction test was used to evaluate road hazard perception skills. …”
Get full text

Vibration Analysis of Typical Flat Plate Ship Structures Through a New Method by Shuo Li, Yuhang Tang, Jiangtao Liu, Haichao Li, Xuhong Miao

“…In order to provide a new tool for predicting the vibration wave energy distribution of typical flat plate structures, a new method for predicting the vibration wave energy distribution of a simple flat plate structure is proposed. …”
Get full text

Improved ML-Based Technique for Credit Card Scoring in Internet Financial Risk Control by Shuangshuang Fan, Yanbo Shen, Shengnan Peng

“…The results show that ML algorithm has a very significant advantage in the field of Internet financial risk control, it has more accurate prediction results and has no particularly strict assumptions and restrictions on data, and the process of processing data is more convenient and reliable. …”
Get full text

Discriminating the adulteration of varieties and misrepresentation of vintages of Pu’er tea based on Fourier transform near infrared diffuse reflectance spectroscopy by Zhenfa Yang, Zhenfa Yang, Xiaoping Lu, Lucheng Chen

“…For vintage identification, the accuracy, precision, recall, and F1-score of the RBFNN model for the prediction set were 99.2%, 98.2%, 98.0%, and 98.0%, respectively. …”
Get full text

Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China by Jun Bi, Qiuyue Sai, Fujun Wang, Yakun Chen

“…First, several machine learning methods are used to improve the prediction accuracy of electric waybill generation, where the garbage truck recorded on the electric waybill is regarded as a working truck. …”
Get full text

Survival Analysis by Penalized Regression and Matrix Factorization by Yeuntyng Lai, Morihiro Hayashida, Tatsuya Akutsu

“…We found that the performance of survival prediction has been improved with lower logrank P values. …”
Get full text

Using Optimization Techniques on Mechanical Characteristics and Sustainability Assessment of Rubberized Concrete Blended with PVA Fiber Through Response Surface Methodology by Naraindas Bheel, Abhijeet Vidyadhar Baikerikar, Bashar S. Mohammed

“…Moreover, RSM was utilized to develop response prediction models with R2 coefficients ranged from 97 to 99%. …”
Get full text

A Variant in Is Associated with the Risk of Ankylosing Spondylitis in Koreans by Sung-Min Cho, Seung-Hyun Jung, Yeun-Jun Chung

“…These results will be helpful in elucidating the pathogenesis of AS and may be useful for developing AS risk prediction models in Koreans.…”
Get full text

Exploring the Energy Efficiency of Electric Vehicles with Driving Behavioral Data from a Field Test and Questionnaire by Kezhen Hu, Jianping Wu, Mingyu Liu

“…We also proposed an energy consumption prediction model with the fusion of collected driving parameters and DSQ data and the result is promising. …”
Get full text

Implication of Radon Monitoring for Earthquake Surveillance Using Statistical Techniques: A Case Study of Wenchuan Earthquake by Aftab Alam, Nanping Wang, Guofeng Zhao, Adnan Barkat

“…In a nutshell, the present study highlights the potential implications of earthquake-induced radon anomalies for earthquake prediction research.…”
Get full text