Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems by Abdulrahman Alruban, Hanan Abdullah Mengash, Majdy M. Eltahir, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri

“…The purpose of the AHOA-HDLTM technique is to predict traffic flow levels in smart cities, enabling effective traffic management. …”
Get full text

Urinary Sodium Concentration Is an Independent Predictor of All-Cause and Cardiovascular Mortality in a Type 2 Diabetes Cohort Population by Pierre-Jean Saulnier, Elise Gand, Stéphanie Ragot, Lise Bankir, Xavier Piguel, Frédéric Fumeron, Vincent Rigalleau, Jean-Michel Halimi, Richard Marechaud, Ronan Roussel, Samy Hadjadj, SURDIAGENE Study group

“…UNa improved all-cause and cardiovascular mortality prediction beyond identified risk factors (rIDI = 2.8%, P=0.04 and rIDI = 4.6%, P=0.02, resp.). …”
Get full text

Effect of visceral fat area on prognosis of patients undergoing radical gastrectomy and construction of nomogram by Zhicheng Huang, Baohua Zheng, Zhiwei Wang, Xiaobin Chen, Yu Wang

“…Abstract Background We aim to investigate the impact of visceral fat area (VFA) on the prognosis of patients following radical gastric resection and develop a nomogram prediction model to forecast the prognosis of gastric cancer patients. …”
Get full text

Post-processing methods for delay embedding and feature scaling of reservoir computers by Jonnel Jaurigue, Joshua Robertson, Antonio Hurtado, Lina Jaurigue, Kathy Lüdge

“…Abstract Reservoir computing is a machine learning method that is well-suited for complex time series prediction tasks. Both delay embedding and the projection of input data into a higher-dimensional space play important roles in enabling accurate predictions. …”
Get full text

Combined AGADESN with DBSCAN Algorithm for Cluster Target Motion Intention Recognition by Xirui Xue, Shucai Huang, Daozhi Wei

“…We use improved Olfati-Saber model with direction noise to generate cluster motion and use the cluster motion data to drive AGADESN algorithm to predict cluster destination, which achieves higher destination prediction accuracy than DESN algorithm. …”
Get full text

Classification of Genes Based on Age-Related Differential Expression in Breast Cancer by Gunhee Lee, Minho Lee

“…We showed that this classification method could be applied to establish a more accurate prediction model to diagnose breast cancer by comparing the performance of prediction models with different combinations of genes. …”
Get full text

Water Inrush Risk Assessment Based on AHP and Advance Forecast Approach: A Case Study in the Micangshan Tunnel by Tao Song, Jun Zeng, Jiaji Ma, Chunchi Ma, Tianbin Li, Tao Xia

“…The results confirm that the proposed method is a reliable theoretical basis for early assessment and prediction of tunnel water inrush disasters.…”
Get full text

Application of Dynamical and Statistical Downscaling to East Asian Summer Precipitation for Finely Resolved Datasets by Yoo-Bin Yhang, Soo-Jin Sohn, Il-Won Jung

Get full text

A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting by Yanhui Zhang, Shili Lin, Haiping Ma, Yuanjun Guo, Wei Feng

“…Accuracy of battery branch current prediction is needed to improve the parallel connection. …”
Get full text

Copyright protection of deep image classification models by Y.D. Vybornova, D.I. Ulyanov

“…When solving the problem of watermark embedding, an important criterion is the preservation of the model prediction accuracy after introducing the protective information. …”
Get full text

E-commerce big data processing based on an improved RBF model by Lu Qiuping

“…Empirical results underscore the model’s exceptional capability, achieving a prediction accuracy of 95% and a remarkably low loss rate of 3%. …”
Get full text

The Use of Transition Region Characteristics to Improve the Numerical Simulation of Heat Transfer in Bypass Transitional Flows by Frederick F. Simon

“…A method is presented for improving the numerical prediction of bypass transition heat transfer on a flat plate in a high-disturbance environment with zero or favorable pressure gradient. …”
Get full text

Methodology for Developing Hydrological Models Based on an Artificial Neural Network to Establish an Early Warning System in Small Catchments by Ivana Sušanj, Nevenka Ožanić, Ivan Marović

“…The aim and objective of this paper are to investigate the possibility of implementing an EWS in a small-scale catchment and to develop a methodology for developing a hydrological prediction model based on an artificial neural network (ANN) as an essential part of the EWS. …”
Get full text

Analytical Analysis of Motion Separability by Marjan Hadian Jazi, Alireza Bab-Hadiashar, Reza Hoseinnezhad

“…This paper presents a simplified theoretical framework for the prediction of feasibility, of segmentation of a two-dimensional linear equation system. …”
Get full text

Use of the Human Walking Gait Cycle for Assistive Torque Generation for the Hip Joint Exoskeleton by Riska Analia, Jan Hong, Joshua Mangkey, null Susanto, Daniel Pamungkas, Hendawan Soebhakti, Abdullah Sani

“…The results show that the proposed method is able to predict the intention to walk as an initial phase and is also able to provide an assistive torque based on the information predicted for this phase.…”
Get full text

Effectiveness of Different Artificial Neural Network Models in Establishing the Suitable Dosages of Coagulant and Chlorine in Water Treatment Works by Dnyaneshwar V. Wadkar, Ganesh C. Chikute, Pravin S. Patil, Pallavi D. Wadkar and Manasi G. Chikute

“…It has been found that radial basis function neural networks (RBFNN) and generalized regression neural networks (GRNN) modeling provide better prediction. In RBFNN and GRNN modeling, the spread factor is varied from 0.1 to 15 to establish a stable and accurate model with high predictive accuracy. …”
Get full text

The Use of Partial Least Square Regression and Spectral Data in UV-Visible Region for Quantification of Adulteration in Indonesian Palm Civet Coffee by Diding Suhandy, Meinilwita Yulia

“…Using this PLS model, a prediction for quantification of luwak content was calculated and resulted in satisfactory prediction performance with high both RPDp and RER values.…”
Get full text

Cooperative Search Optimization of an Unknown Dynamic Target Based on the Modified TPM by Kaixin Cheng, Di Wu, Tao Hu, Jinjin Wei, Zhifu Tian

“…Aiming to address the problem of unknown dynamic target trajectory prediction and search path optimization in unmanned aerial vehicle (UAV) swarm path planning, this paper proposes a target search algorithm based on a modified target probability map (TPM). …”
Get full text

A Systematic Method of Interconnection Optimization for Dense-Array Concentrator Photovoltaic System by Fei-Lu Siaw, Kok-Keong Chong

“…The next step is I-V curve prediction, to find the maximum output power of each array configuration. …”
Get full text

Generating Deeply-Engineered Technical Features for Basketball Video Understanding by Shaohua Fang, Guifeng Wang, Yongbin Li, Yue Yu, Jun Li

“…In this paper, we propose a novel method for basketball player motion recognition and prediction. We engineer the technical features of gameplay through video analysis and introduce a behavioral analysis method using a multi-layer learning architecture. …”
Get full text