An Improved Animal Migration Optimization Algorithm to Train the Feed-Forward Artificial Neural Networks [0.03%]
改进的动物迁移优化算法训练前馈人工神经网络
Şaban Gülcü
Şaban Gülcü
The most important and demanding part of the artificial neural network is the training process which involves finding the most suitable values for the weights in the network architecture, a challenging optimization problem. Gradient approac...
Removal of Hydroxychloroquine Using Engineered Biochar from Algal Biodiesel Industry Waste: Characterization and Design of Experiment (DoE) [0.03%]
使用藻类生物柴油工业废料制备的功能化生物质炭去除羟氯喹的研究与设计实验分析
Dilek Gümüş,Fatih Gümüş
Dilek Gümüş
Adsorption of hydroxychloroquine (HCQ) onto H3PO4-activated Cystoseira barbata (Stackhouse) C. Agardh (derived from algal biodiesel industry waste) biochar was investigated via batch experiments and mathematical models. The activated biocha...
Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model [0.03%]
利用集成深度学习语言模型改进社交媒体应用中的情感分析
Ahmed Alsayat
Ahmed Alsayat
As data grow rapidly on social media by users' contributions, specially with the recent coronavirus pandemic, the need to acquire knowledge of their behaviors is in high demand. The opinions behind posts on the pandemic are the scope of the...
Artificial Intelligence Techniques for the Non-invasive Detection of COVID-19 Through the Analysis of Voice Signals [0.03%]
通过分析语音信号非侵入性检测COVID-19的人工智能技术
Laura Verde,Giuseppe De Pietro,Giovanna Sannino
Laura Verde
Healthcare sensors represent a valid and non-invasive instrument to capture and analyse physiological data. Several vital signals, such as voice signals, can be acquired anytime and anywhere, achieved with the least possible discomfort to t...
Computer-Aided Detection of COVID-19 from CT Images Based on Gaussian Mixture Model and Kernel Support Vector Machines Classifier [0.03%]
基于高斯混合模型和核支持向量机分类器的COVID-19的计算机辅助检测
Ahmet Saygılı
Ahmet Saygılı
COVID-19 is a virus that has been declared an epidemic by the world health organization and causes more than 2 million deaths in the world. To achieve this, computer-aided automatic diagnosis systems are created on medical images. In this s...
EEG Signal Feature Selection Algorithm and Support Vector Machine Model in Patient's Fatigue Recognition [0.03%]
用于患者疲劳识别的EEG信号特征选择算法及支持向量机模型
Sridevi Chitti,J Tarun Kumar,V Sandeep Kumar
Sridevi Chitti
In March 2020, a cohort of 26 is treated critically ill hospitalized SARS-CoV-2 infected patients who received EEGs to assess unexplained altered mental status, loss of consciousness, or poor arousal and responsiveness. The objective of the...
Detection of Turkish Fake News in Twitter with Machine Learning Algorithms [0.03%]
用机器学习算法检测Twitter上的土耳其假新闻
Suleyman Gokhan Taskin,Ecir Ugur Kucuksille,Kamil Topal
Suleyman Gokhan Taskin
Social media has affected people's information sources. Since most of the news on social media is not verified by a central authority, it may contain fake news for various reasons such as advertising and propaganda. Considering an average o...
Intelligent Computing with Levenberg-Marquardt Backpropagation Neural Networks for Third-Grade Nanofluid Over a Stretched Sheet with Convective Conditions [0.03%]
莱文贝格马夸特反向传播神经网络在带有对流条件的第三阶纳米流体拉伸平面上的智能计算
Muhammad Shoaib,Muhammad Asif Zahoor Raja,Ghania Zubair et al.
Muhammad Shoaib et al.
This article discussed the influence of activation energy on MHD flow of third-grade nanofluid model (MHD-TGNFM) along with the convective conditions and used the technique of backpropagation in artificial neural network using Levenberg-Mar...
Supervised Learning Algorithm to Study the Magnetohydrodynamic Flow of a Third Grade Fluid for the Analysis of Wire Coating [0.03%]
监督学习算法在第三级流体磁力流体动力学流动中的应用及在线涂覆分析
Jawaher Lafi Aljohani,Eman Salem Alaidarous,Muhammad Asif Zahoor Raja et al.
Jawaher Lafi Aljohani et al.
In the present study, modeling of intelligent numerical computing through Levenberg-Marquardt back propagation-based supervised neural network (LMB-SNN) is incorporated to analyze the magnetohydrodynamic flow of a third grade fluid for wire...
Bi-Objective Adaptive Large Neighborhood Search Algorithm for the Healthcare Waste Periodic Location Inventory Routing Problem [0.03%]
医疗废物周期定位库存路由问题的二目标自适应大邻域搜索算法
Ayyuce Aydemir-Karadag
Ayyuce Aydemir-Karadag
There has been an unexpected increase in the amount of healthcare waste during the COVID-19 pandemic. Managing healthcare waste is vital, as improper practices in the waste system can lead to the further spread of the virus. To develop effe...