Optimal Markowitz portfolio using returns forecasted with time series and machine learning models by Damian Ślusarczyk, Robert Ślepaczuk

“…Such a method requires specific handling and poses new challenges in testing and optimizing the models. Moreover, we are not aware of any other paper that compares the performance of ARIMA-GARCH bootstrapping forecasts and XGBoost forecasts in terms of portfolio optimization.…”
Get full text

Analysis and research of industrial value chain optimization model based on energy internet environment by Shaoyang Yin, Xiaohua Yang, Qi Xu, Guangjie Liu

“…Abstract This study conducts an in-depth analysis of the optimization model of the industrial value chain under the Energy Internet environment, and provides strong data support for the optimization of the industrial value chain through the presentation of specific data. …”
Get full text

Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings by Daniel Asuquo, Kingsley Attai, Okure Obot, Moses Ekpenyong, Christie Akwaowo, Kiirya Arnold, Faith-Michael Uzoka

Get full text

Modeling the therapeutic dynamics of acupuncture and moxibustion: a systems biology approach to treatment optimization by Quan Gan, Qi-Wei Ge, Chuanxia Liu, Zhaoman Zhong, Jiaying Wu, Lei Shi, Jin Xu, Chen Li

“…The simulation results closely align with actual clinical data, supporting the model’s reliability and applicability. Finally, randomized simulation experiments have led to the identification of three new AMT strategies with promising therapeutic potential, highlighting the model’s capacity to support treatment optimization and clinical innovation. …”
Get full text

A Novel Energy Model for Optimizing Energy Efficiency and Prolonging Network Lifetime in MANET by Abdulsalam Tonin, Malek Nasser Ali Algabri, Mansoor N. Ali, Mossa Ghurab, Abdualmajed Ahmed Ghaleb Al-Khulaidi, Ibrahim Ahmed Al-Baltah

Get full text

Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises by Xueli Yin, Xuguang Zhang, Luyao Pei, Rong Hu, Kaihui Ye, Kangkang Cai

“…The proposed model focuses on resource scheduling optimization, task load balancing, and improvements in computational efficiency. …”
Get full text

Application of RSM- CCD methodology and image J. for modeling and optimization of orchid protocorm encapsulation by Zahra Mahdavi, Shirin Dianati Daylami, Ali Fadavi, Mandana Mahfeli

“…In general, results showed that the use of image J and the response surface methodology is a useful tool to obtain the optimal physical properties of synthetic seeds. The modeling and optimizing of physical characteristics of synthetic seed can be developed for encapsulation of any explants of plant species.…”
Get full text

Modelling and optimization of different pozzolanic materials in the durability of cement composite by central composite design by Tsion Amsalu Fode, Yusufu Abeid Chande Jande, Thomas Kivevele

“…This research models and optimizes the effects of replacing OPC with blast furnace slag, active limestone, and bentonite in mortar using the central composite design method. …”
Get full text

Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…In the realm of IoV, we propose OptiE2ERL, an advanced Reinforcement Learning (RL) based model designed to optimize energy efficiency and routing. …”
Get full text

Research and application of intelligent diagnosis and optimization technologies for multi-model oil and gas development by JING Shuai, WU Jianjun, MA Chengjie

“…The integrated technology application supported developing a new operational model featuring “comprehensive awareness, integrated coordination, early warning, and analysis and optimization” for the dynamic management and control of oil and gas reservoirs. …”
Get full text

Analysis and Optimization of Drug Resistant an Phase-Specific Cancer by Andrzej Swierniak, Jaroslaw Smieja

“…To derive necessary conditions for optimal control, the model description is transformed into an integrodifferential one.…”
Get full text

Optimal feedback stabilization of fractional output in semilinear distributed systems by Marouane Karim, Issam Khaloufi, Imane Dehaj, Rachik Mostafa

Get full text

Applying a logistic regression-clustering joint model to analyze the causes of prolonged pre-analytic turnaround time for urine culture testing in hospital wards by Shuangshuang Lv, Huan Ye, Yuan Li, Jian Zhang

Subjects: “…logistic regression model…”
Get full text

Accurate and Efficient End‐Effector Tracking for Quadrupedal Mobile Manipulators through Coordinated Motion and Decoupled Control by Kun Xu, Qikai Li, Yuhang Zhao, Jiawei Chen, Xilun Ding

“…Meanwhile, the decoupled tracking control models the robotic arm and quadrupedal robot as independent floating‐base systems, incorporating interaction forces to enhance the overall system's tracking accuracy. …”
Get full text

Hierarchical cooperative eco‐driving control for connected autonomous vehicle platoon at signalized intersections by Simin Wu, Zheng Chen, Shiquan Shen, Jiangwei Shen, Fengxiang Guo, Yonggang Liu, Yuanjian Zhang

“…Most existing eco‐driving studies mainly focus on the optimal control of a single vehicle at an individual signalized intersection, while rarely involving the cooperative optimization of a group of vehicles at successive signalized intersections. …”
Get full text

A Hierarchical Control Algorithm for a Pursuit–Evasion Game Based on Fuzzy Actor–Critic Learning and Model Predictive Control by Penglin Hu, Chunhui Zhao, Quan Pan

“…In this paper, we adopt the fuzzy actor–critic learning (FACL) and model predictive control (MPC) algorithms to solve the pursuit–evasion game (PEG) of quadrotors. …”
Get full text

Feedback control of the COVID-19 outbreak based on active disturbance rejection control by Haonan Zhang, Wen Tan, Mei Yu, Yiming Li

“…The feedback control is based on a modified nonlinear active disturbance rejection controller (ADRC) that includes modified nonlinear extended state and nonlinear state error feedback with parameters tuned by particle swarm optimization, and the performances are compared with a well-known proportional-–integral–-derivative (PID) controller. …”
Get full text

Optimal Feature Selection and Classification for Parkinson’s Disease Using Deep Learning and Dynamic Bag of Features Optimization by Aarti, Swathi Gowroju, Mst Ismat Ara Begum, A. S. M. Sanwar Hosen

“…The proposed method presents an optimal feature selection technique based on Deep Learning (DL) and the Dynamic Bag of Features Optimization Technique (DBOFOT). …”
Get full text

Optimized Super-Twisting Sliding Mode Control with Parameter Estimation for Autonomous Vehicle Longitudinal Motion on Downhill Road by Kbrom Lbsu Gdey, Woo Young Choi

“…Longitudinal motion control is a critical aspect of autonomous vehicle area, requiring a well-designed controller to ensure optimal system performance, safety, and comfort under varying driving conditions. …”
Get full text

Reliability Analysis of an Extended Shock Model and Its Optimization Application in a Production Line by Renbin Liu

“…Finally, a production line controlled by two cold-standby computers is modeled to present numerical illustration and its optimal part-time job policy at a maximum profit.…”
Get full text