Circular thin plates buckling analysis with HRPIM method by Baid Sokayna, Hilali Youssef, Mesmoudi Saïd, Bourihane Oussama

“…This paper aims to introduce a new approach to simulate geometrically nonlinear problems that require shape functions with higher order continuity such as the buckling analysis of circular thin and thick plates based on two theories; Classical plate theory (CPT) and Third order Shear Deformation Theory (TSDT). The algorithm integrates high-order continuation (HOC) solver and the Hermite-type radial point interpolation method (HRPIM). …”
Get full text

Fault detection for Li-ion batteries of electric vehicles with segmented regression method by Muaaz Bin Kaleem, Yun Zhou, Fu Jiang, Zhijun Liu, Heng Li

“…Lastly, an adaptive threshold algorithm is proposed to integrate driving behavior and environmental factors into a Gaussian process regression model. …”
Get full text

Facial emotion based smartphone addiction detection and prevention using deep learning and video based learning by C. Joseph, P. Uma Maheswari

“…The TMVM framework leverages Theory of Mind AI to analyze students’ facial emotions via smartphone cameras while watching videos. …”
Get full text

Model Predictive Control with Optimal Modelling for Pneumatic Artificial Muscle in Rehabilitation Robotics: Confirmation of Validity Though Preliminary Testing by Dexter Felix Brown, Sheng Quan Xie

“…MPC generally performed the best of the controllers tested here, with the lowest error values and a rapid response to changes in setpoint, as well as no required learning period due to the predictive algorithm.…”
Get full text

Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer by Masaharu HIDA, Hiroshi IKEDA, Akito MARUO, Masaru SATO, Takashi YAMAZAKI

“…In this paper, we employ an innovative optimization method that employs a factorization machine with a digital annealer (FM-DA) and a genetic algorithm (GA). The result is a global optimization method that integrates local optimization structures into its framework. …”
Get full text

An accurate collocation method for distributed order time fractional nonlinear diffusion wave equation with error analysis by M. Taghipour, H. Aminikhah

“…With the Levenberg–Marquardt algorithm as an option, the resulting system had been solved using Matlab’s fsolve tool. …”
Get full text

A reversible and robust hybrid image steganography framework using radon transform and integer lifting wavelet transform by B. M. El-den, Walid Raslan

“…High Normalized Correlation Coefficient (NCC) values close to 1 further confirm the algorithm’s reversibility and integrity, even under common attacks such as Gaussian Noise, Poisson Noise, Blurring, and Cropping. …”
Get full text

Research on Thermodynamic Properties of the CO₂ Medium During Phase Transition Excited by Energetic Agent by SHEN Zhiqiang, XIA Jun, ZHANG Fanzhen, YANG Lijun

“…A zero-dimension theory prediction model is established in our work and can be used to obtain the thermodynamic parameters of the CO₂ working fluid during exciting process more easily.MethodsBased on the geometric combustion hypothesis of energetic agents and the thermodynamic conservation laws of the system, a thermodynamic performance prediction model for the phase change process of CO₂ working medium excited by energetic agents was established, and the classical Runge-Kutta step-by-step integration algorithm was used to get numerical solution. …”
Get full text

Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels by Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu

“…A comparative analysis of various machine learning algorithms revealed that an optimized XGBoost model demonstrated superior predictive performance, achieving an R² value of 0.943 and an RMSE of 1.423 for the test dataset. …”
Get full text

Adaptive Large Neighborhood Search Metaheuristic for the Capacitated Vehicle Routing Problem with Parcel Lockers by Amira Saker, Amr Eltawil, Islam Ali

“…The problem is resolved by ALNS algorithm, which outperformed the MIP model.…”
Get full text

Estimation of Ground-Level NO₂ Concentrations Over Megacities Using Sentinel-5P and Machine Learning Models: A Case Study of Istanbul by N. Yagmur Aydin, I. Aydin

“…Satellite data, which provides a wide coverage area, enables local and global analysis while providing data with low spatial resolution. Integration of ground and satellite data using machine learning (ML) algorithms enables more accurate regional analysis. …”
Get full text

Stability Evaluation of Slope Based on Global Sensitivity Analysis by Zhaoxia Xu, Xiuzhen Wang, Lu Guo, Teng Yu

“…When calculating the sensitivity index of one parameter, all other parameters are taken as fixed values, and the uncertainty of all parameters cannot be considered simultaneously. …”
Get full text

Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting. by Mohamed Irhuma, Ahmad Alzubi, Tolga Öz, Kolawole Iyiola

“…Furthermore, the K-nearest Neighbor imputation technique fills the missing values, which preserves the data integrity as well as reliability. …”
Get full text

Tools of Conducting Strategy of Institutional Transformations in Industrial Complex in Conditions of Digital Economy by A. G. Boev

“…The author substantiated the goal of development, principles of building, parameters of scientific-methodological and resource support, as well as other aspects of the mechanism of conducting strategy of transformations. Mechanism of algorithm self-diagnosing was designed, which helps control and analyze effectiveness of reforms, speed of transformation in comparison with average-market values, changes in the level of innovation activity and digitalization of the industrial complex, structure of personnel involvement in the process of strategic changes and dynamics of entropy in the enterprise economic system during the transition period. …”
Get full text

Real-time classroom student behavior detection based on improved YOLOv8s by Xiaojing Sheng, Suqiang Li, Sixian Chan

“…However, the field still faces specific challenges, primarily concerning the accuracy of identifying student behaviors within complex and variable classroom environments, as well as the real-time capabilities of detection algorithms. To address these challenges, we propose an efficient and straightforward algorithm based on the YOLO architecture. …”
Get full text

Intermittent Short Circuit Fault Location for CAN Based on Two-Port Network Modeling by Longkai Wang, Yi Yang, Yong Lei

“…Third, a bidirectional eviction localization algorithm is developed to identify ISC fault locations based on the fault and health domains. …”
Get full text

Comparative Analysis of The Combined Model (Spatial and Temporal) and Regression Models for Predicting Murder Crime by Laith S. Ibrahim, Ghadeer Jasim Mohammed

“…Several models were used for comparison with the integrated model, namely Multiple Linear Regression (MLR), Decision Tree Regression (DTR), Random Forest Regression (RFR) and Neural Network Regression (NNR). …”
Get full text

Spatially and temporally correlated channel estimation and detection for comparator network-aided MIMO receivers with 1-bit ADCs by Luiz Sampaio, Lukas T. N. Landau

“…Furthermore, we present a dynamic comparator network selection algorithm that adjusts the utilized comparators in real time to account for variations in channel correlation coefficients. …”
Get full text

A Bicriteria Model to Determine Pareto Optimal Pulse Vaccination Strategies by Funda Samanlioglu, Nauman Tabassum, Tolga Kudret Karaca, Ayse Humeyra Bilge

“…To find approximate efficient solutions to this bicriteria problem, ODE and genetic algorithm toolboxes of MATLAB are integrated (GA-ODE). …”
Get full text

Application of Deep Learning for Stock Prediction Within the Framework of Portfolio Optimization in Quantitative Trading by Xiaoyu Qin

“… This paper proposes a method for stock prediction and portfolio optimization as a part of quantitative trading based on a combination of Bi-RNN and a modified snake optimization algorithm (MSOA) to build optimal portfolios and outperform conventional models and benchmarks. …”
Get full text