Results 31 to 40 of about 36,774 (260)

Optimizing PSO for classification: comparison of Naïve Bayes and C4.5 for osteoporosis prediction

Jurnal Ilmiah SINERGI
Osteoporosis is a medical disease marked by a reduction in bone density, which significantly increases the risk of fractures. Osteoporosis patients do not always exhibit symptoms and because current diagnostic techniques have limitations, early detection
Zulfi Anugerahwati, Sri Lestari
doaj   +1 more source

Multi-objective optimization of process parameters for ultrasonic rolling extrusion of 42CrMo material

Mechanics & Industry, 2023
To choose the most suitable method to solve the process parameter optimization of ultrasonic rolling extrusion, the 42CrMo material was taken as the research object. Based on a four-factor five-level orthogonal experiment, the response surface method was
Wang Xiaoqiang, Wang Haojie, Wang Paigang, Zhu Qiping   +3 more
doaj   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Assessing the influence of urban expansion on land surface temperature in the Gazipur industrial zone of Bangladesh

Discover Cities
The changes in the Land Use Land Cover (LULC), particularly the industrialization and urbanization, significantly impact the Land Surface Temperature (LST).
Koushik Ghosh Tripta, B. M. Refat Faisal, Syed Hafizur Rahman   +2 more
doaj   +1 more source

Integrating hedge algebras and optimization techniques to reduce forecasting errors in fuzzy time series model

IJAIN (International Journal of Advances in Intelligent Informatics)
Accurate forecasting in fuzzy time series (FTS) models is essential for applica-tions such as financial markets, traffic fatalities, and academic enrollments.
Nghiêm Văn Tính
doaj   +1 more source

Solid–liquid equilibria in the LiOH–ethanol–water system: Solubility measurements and thermodynamic modeling

AIChE Journal, EarlyView.
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu, Chentao He, Janet A. W. Elliott, Liuyin Xia   +3 more
wiley   +1 more source

Prediction Method for Carbon Storage in Substation Based on Uncertain Parameters

Zhongguo dianli
The SF6 gas volume data from the PMS system is incomplete and contains significant errors, rendering it inadequate for power grid enterprises to calculate carbon reserves and formulate carbon planning for future substations. To address this problem, this
Siyang CHEN, Li HAN, Jizhong FANG, Wuhang DING, Cheng CHENG, Wen LI, Yuan ZHANG, Yong QIAN   +7 more
doaj   +1 more source

Optimization of Energy Management Strategy for the EPS with Hybrid Power Supply Based on PSO Algorithm

Energies, 2020
The traditional vehicle power supply is unable to meet the power requirement of electric power steering system (EPS) in heavy-duty vehicles at low speeds.
Bin Tang, Di Zhang, Haobin Jiang, Yinqiu Huang   +3 more
doaj   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source