Improving with Hybrid Feature Selection in Software Defect Prediction by Muhammad Yoga Adha Pratama, Rudy Herteno, Mohammad Reza Faisal, Radityo Adi Nugroho, Friska Abadi

“…Software defect prediction (SDP) is used to identify defects in software modules that can be a challenge in software development. …”
Get full text

Correlation and Prediction Analysis of Cyanobacteria with Water Environment Data by Sang-Leen Yun

“…Furthermore, cyanobacteria occurrence was predicted using a random forest algorithm, with a linear regression model serving as a baseline for comparison. …”
Get full text

Method and application of stability prediction model for rock slope by Yun Qi, Chenhao Bai, Xuping Li, Hongfei Duan, Wei Wang, Qingjie Qi

“…To accurately and efficiently predict the stability state of slopes, we propose a combined model that integrates the Newton–Raphson optimization algorithm (NRBO) with an optimized extreme gradient boosting tree (XGBoost). …”
Get full text

Machine learning prediction of pKa of organic acids by Juda Baikété, Alhadji Malloum, Jeanet Conradie

“…The model trained with the ExTr algorithm showed the best prediction performance with an overall mean absolute error (MAE) value of 1.41 pKa units. …”
Get full text

Pathway activation model for personalized prediction of drug synergy by Quang Thinh Trac, Yue Huang, Tom Erkers, Päivi Östling, Anna Bohlin, Albin Osterroos, Mattias Vesterlund, Rozbeh Jafari, Ioannis Siavelis, Helena Backvall, Santeri Kiviluoto, Lukas Orre, Mattias Rantalainen, Janne Lehtiö, Soren Lehmann, Olli Kallioniemi, Yudi Pawitan, Trung Nghia Vu

“…Computational models based on the integration of omics data have been used to identify synergistic combinations, but predicting drug synergy remains a challenge. Here, we introduce Drug synergy Interaction Prediction (DIPx), an algorithm for personalized prediction of drug synergy based on biologically motivated tumor- and drug-specific pathway activation scores (PASs). …”
Get full text

Prediction of Clinical Bronchiectasis from Asymptomatic Radiological Bronchiectasis by Fan Y, Li Z, Jiang N, Zhou Y, Song J, Yu F, Zhang J, Wang X

“…ROC, a calibration and decision curve were used to assess the predictive performance of our new prediction model.Results: 370 patients (74, 20% with CB) were finally included. …”
Get full text

THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS by Nor Farahwahida Mohd Noor, Aslina Saad, Abu Bakar Ibrahim, Norashady Mohd Noor

“…Hence, the development process of the C-SOLVIS can be used as a guideline for educational software development, especially in the field of programming education. …”
Get full text

Meta-heuristic algorithm based optimization studies in cryogenic and conventional milling of magnesium alloy AZ91 by Vikas Marakini, Srinivasa Pai P, Grynal D’Mello, Udaya K Bhat, DineshSingh Thakur, Bhaskara P Achar

“…The study's input parameters are the depth of cut, feed rate, and cutting speed. Modeling and prediction studies have been conducted using Multi Layered Perceptron (MLP) Neural Network, and the output of this model has been considered as the objective function for the optimization algorithms. …”
Get full text

Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic by Francesco Liberati, Manuel Donsante, Chiara Maria Francesca Cirino, Andrea Tortorelli

“…This paper presents a scalable Model Predictive Control (MPC) algorithm for task scheduling and real time re-scheduling. …”
Get full text

Improved GOA-based fuzzy PI speed control of PMSM with predictive current regulation. by Taochang Li, Ang Li, Limin Hou

“…First, the diversity of the population and the global exploration capability of the algorithm are enhanced through the integration of the Cauchy mutation strategy and uniform distribution strategy. …”
Get full text

H∞ filtering of uncertain predictive models: Gain computation using LMI and performance evaluation by Eli G. Pale Ramon, Oscar G. Ibarra-Manzano, José A. Andrade-Lucio, Yuriy S. Shmaliy

“…The filter is designed for processes represented in discrete time using the forward Euler method, which allows for predictive modeling. Since the error covariance of a state estimator is a quadratic function of K, a new theorem is proved and a numerical algorithm is developed for computing K using linear matrix inequality (LMI). …”
Get full text

On Feasibility and Asymptotically Stability of Switched Systems Using Adaptive Multi-Model Predictive Control by Mohammad Fathi, Hossein Bolandi, Bahman Ghobrani Vaghei, Saeed Ebadollahi

“…The present paper attempts to design an adaptive multi-model predictive control strategy for strongly nonlinear or switched systems with various operating points. …”
Get full text

Utilizing Artificial Intelligence for Adaptive Scenario Development in Interprofessional Education by Hatice Şahin, Aysel Baser

“…Overreliance on AI also risks reducing critical thinking and creativity, while concerns such as algorithmic bias and data privacy must be carefully addressed to ensure equitable educational practices.…”
Get full text

A model predictive control method for directional borehole trajectories in underground coal mines by Hao LI, Ningping YAO, Chengda LU, Jinbao ZHANG, Hongchao WEI, Jiajun WU, Jinyu LI

“…Furthermore, this study designed a model predictive controller with functions of predictive modeling, rolling optimization, and feedback correction. …”
Get full text

Mixed Time/Event-Triggered Model Predictive Tracking Control for Networked Mobile Robots by Huixin Liu, Yonghua Lai, Hongsong Lian, Guobin Wang, Dongsheng Zheng

“…The MPC algorithm is developed based on the auxiliary optimization problem (OP), which is constrained by linear matrix inequalities. …”
Get full text

Reducing the Environmental Impact of Sewer Network Overflows Using Model Predictive Control Strategy by I. Vasiliev, L. Luca, M. Barbu, R. Vilanova, S. Caraman

“…The main objective of the paper is to minimize the wastewater quantity and the pollutant loads that overflow from the SN. The proposed algorithm to achieve this goal is Model Predictive Control using Particle Swarm Optimization as optimization method. …”
Get full text

Using nonlinear model predictive control to find optimal therapeutic strategies to modulate inflammation by Judy Day, Jonathan Rubin, Gilles Clermont

“…In this work, we pursue this goal by implementing a nonlinear model predictive control (NMPC) algorithm in the context of a reduced computational model of the acute inflammatory response to severe infection. …”
Get full text

Robust Model Predictive Control for AFE-Inverter Drives With Common Mode Voltage Elimination by S.M. Muslem Uddin, Galina Mirzaeva, Graham C. Goodwin

“…This paper proposes a novel and robust version of Model Predictive Control scheme for AC drives based on Voltage Source Inverter (VSI) with Active Front End (AFE). …”
Get full text

Tube-Based Robust Model Predictive Control for Autonomous Vehicle with Complex Road Scenarios by Yang Chen, Youping Sun, Junming Li, Jiangmei He, Chengwei He

“…To facilitate computational tractability and algorithmic implementation, the model is systematically linearized and discretized. …”
Get full text

Simplified Model Predictive for Controlling Circulating and Output Currents of a Modular Multilevel Converter by Abolfazl Sheybanifar, Seyed Masoud Barakati

“…Model Predictive Control (MPC) has attracted wide attention recently, especially in electrical power converters. …”
Get full text