Journal of Artificial Intelligence and Soft Computing Research最新文献_第4页

Comparative Analysis of Globalisation Techniques for Medical Document Classification 医学文献分类全球化技术的比较分析

IF 2.8 3区计算机科学

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2023-02-17 DOI: 10.55195/jscai.1216800

B. Parlak, S. Aydemi̇r

引用次数: 0

A Review on Measurement of Particle Sizes by Image Processing Techniques 用图像处理技术测量颗粒尺寸的研究进展

IF 2.8 3区计算机科学

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2023-02-17 DOI: 10.55195/jscai.1218662

Vahit Tongur, A. B. Batibay, Murat Karakoyun

引用次数: 0

Artificial Intelligence and Soft Computing: 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19–23, 2022, Proceedings, Part II 人工智能与软计算:第21届国际会议，ICAISC 2022，波兰扎科帕内，6月19-23日，2022，会议录，第二部分

IF 2.8 3区计算机科学

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-23480-4

引用次数: 0

Artificial Intelligence and Soft Computing: 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19–23, 2022, Proceedings, Part I 人工智能与软计算:第21届国际会议，ICAISC 2022，波兰扎科帕内，6月19-23日，2022，会议录，第一部分

IF 2.8 3区计算机科学

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-23492-7

引用次数: 0

An Artificial Intelligence Regression Model for Prediction of NOx Emission from Flame Image 火焰图像中NOx排放预测的人工智能回归模型

IF 2.8 3区计算机科学

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2022-12-27 DOI: 10.55195/jscai.1213863

Sedat Golgiyaz, Mahmut Daskin, C. Onat, M. F. Talu

{"title":"An Artificial Intelligence Regression Model for Prediction of NOx Emission from Flame Image","authors":"Sedat Golgiyaz, Mahmut Daskin, C. Onat, M. F. Talu","doi":"10.55195/jscai.1213863","DOIUrl":"https://doi.org/10.55195/jscai.1213863","url":null,"abstract":"In this study, NOx emission has been estimated by processing the flame image of visible wavelength and its experimental verification has been presented. The experimental study has been performed by using a domestic coal boiler with a capacity of 85000 Kcal / h. The real NOx value has been measured from a flue gas analyzer device. The flame image has been taken by CCD camera from the observation hole on the side of the burner. The data set which is related to instantaneous combustion performance and flame images was recorded simultaneously on the same computer with time stamps once a second. The color flame image has been transformed into a gray scale. Features have been obtained from the gray scale flame image. The features are obtained by using the cumulative projection vectors of row and column matrices. ANN regression model has been used as the learning model. The relationship between flame image and NOx emission has been obtained with the accuracy of R = 0.9522. Highly accurate measurement results show that the proposed system can be used in advanced closed loop combustion control systems.","PeriodicalId":48494,"journal":{"name":"Journal of Artificial Intelligence and Soft Computing Research","volume":"189 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78045931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Boron's Critical Importance in Future Energy Technologies 硼在未来能源技术中的重要性

IF 2.8 3区计算机科学

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2022-12-25 DOI: 10.55195/jscai.1216892

Fatih Arlı

{"title":"Boron's Critical Importance in Future Energy Technologies","authors":"Fatih Arlı","doi":"10.55195/jscai.1216892","DOIUrl":"https://doi.org/10.55195/jscai.1216892","url":null,"abstract":"The boron element forms more than 600 compounds with different element roots and shows very different properties. Boron compounds with these different properties have deserved to be the most important strategic feature in the world as they meet the demands above the targeted standards in industries such as energy, structure, chemistry, weapons and space. Today, the industries of developed countries have begun to take advantage of these energy sources due to the reduction of fossil energy resources, the inability of the industry to store enough electricity for an entire facility, and the limitations imposed on environmental policies. Developing countries continue to use fossil resources, but health and environmental costs are increasing. Whether they are developed countries or developing countries, they have attached importance to the research of energy systems that are capable of replacing fossil energy systems, which are environmentally friendly, sustainable, and have high performance. Boron has an important role in the energy field for the isolation, high energy value retention, fuel and ion batteries, solar panels and high-temperature transistors. In this study, the desired properties of boron compounds in energy studies were investigated by considering the positive effects of boron on the energy market.","PeriodicalId":48494,"journal":{"name":"Journal of Artificial Intelligence and Soft Computing Research","volume":"2 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88946163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generalized gama Statistical Boundedness of Order Beta in Sequences of Fuzzy Numbers 模糊数列中阶β的广义统计有界性

IF 2.8 3区计算机科学

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2022-12-23 DOI: 10.55195/jscai.1218844

Mithat Kasap, H. Altinok

引用次数: 0

Real-time Iris Center Detection Based on Convolutional Neural Networks 基于卷积神经网络的实时虹膜中心检测

IF 2.8 3区计算机科学

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2022-12-21 DOI: 10.55195/jscai.1216384

Kenan Donuk, D. Hanbay

引用次数: 0

CREMA-D: Improving Accuracy with BPSO-Based Feature Selection for Emotion Recognition Using Speech CREMA-D:基于bpso的语音情感识别特征选择提高准确率

IF 2.8 3区计算机科学

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2022-12-21 DOI: 10.55195/jscai.1214312

Kenan Donuk

{"title":"CREMA-D: Improving Accuracy with BPSO-Based Feature Selection for Emotion Recognition Using Speech","authors":"Kenan Donuk","doi":"10.55195/jscai.1214312","DOIUrl":"https://doi.org/10.55195/jscai.1214312","url":null,"abstract":"People mostly communicate through speech or facial expressions. People's feelings and thoughts are reflected in their faces and speech. This phenomenon is an important tool for people to empathize when communicating with each other. Today, human emotions can be recognized automatically with the help of artificial intelligence systems. Automatic recognition of emotions can increase productivity in all areas including virtual reality, psychology, behavior modeling, in short, human-computer interaction. In this study, we propose a method based on improving the accuracy of emotion recognition using speech data. In this method, new features are determined using convolutional neural networks from MFCC coefficient matrices of speech records in Crema-D dataset. By applying particle swarm optimization to the features obtained, the accuracy was increased by selecting the features that are important for speech emotion classification. In addition, 64 attributes used for each record were reduced to 33 attributes. In the test results, 62.86% accuracy was obtained with CNN, 63.93% accuracy with SVM and 66.01% accuracy with CNN+BPSO+SVM.","PeriodicalId":48494,"journal":{"name":"Journal of Artificial Intelligence and Soft Computing Research","volume":"56 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81602071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Solving Multidimensional Knapsack Problem with Bayesian Multiploid Genetic Algorithm 用贝叶斯多倍体遗传算法求解多维背包问题

IF 2.8 3区计算机科学

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2022-12-14 DOI: 10.55195/jscai.1216193

Emrullah Gazioglu

引用次数: 0