Travel Time Prediction using Neural Networks: A Literature Review

Deshmukh, Pranjali Satish

doi:10.1109/icicet.2018.8533762

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Neural network architecture consists of a set of nodes located in connected layers and send signals to each other by various learning methods and algorithms. ANN has been proven its effectiveness for classification, pattern recognition, prediction in various other applications [33][34][35].…”

Section: ) Association Rulementioning

confidence: 99%

A Survey of Data Mining Techniques for Smart Museum Applications

Puspasari

Ermatita

2021

Jurnal Informatika

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This research aims to find out what data mining techniques are effectively implemented in museums and what application trends are currently being used to improve museum performance towards modern museums based on intelligent system technology. The review was carried out on a number of articles found in journals and proceedings in the 2004-2020 period. It is found that the majority of data mining techniques are implemented in museum virtual guide applications, recommender systems, collection clustering and classification system, and visitor behaviour prediction application. Data classification, clustering, and prediction technique commonly used for museum application. Collections with historical and artistic value contain a lot of knowledge making data mining an important technique to be included in various applications in museums so that they can have an impact on the achievement of museum goals not only in the fields of education and culture but also economics and business.

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Section: ) Association Rulementioning

confidence: 99%

A Survey of Data Mining Techniques for Smart Museum Applications

Puspasari

Ermatita

2021

Jurnal Informatika

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“…Access to extensive data sources and the increasing computing power of machines have enabled the development of this field of science. Nowadays, interest in using neural networks is still growing, which can be observed by analyzing scientific publications on various topics from the last few years-development of ITS (Intelligent Transport Systems) [7,8], prediction and evaluation of atmospheric phenomena [9][10][11], distinguish information tweets (containing relevant facts) from non-information ones (containing rumors or non-detailed information) [12] and predicting dynamic FX markets [13] and the real estate market [14]. In military sector, AI algorithms can be used, among others, for speech recognition systems [15] or object detection and recognition [16].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Applications in Military Systems and Their Influence on Sense of Security of Citizens

Bistroń

Piotrowski

2021

Electronics

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The paper presents an overview of current and expected prospects for the development of artificial intelligence algorithms, especially in military applications, and conducted research regarding applications in the area of civilian life. Attention was paid mainly to the use of AI algorithms in cybersecurity, object detection, military logistics and robotics. It discusses the problems connected with the present solutions and how artificial intelligence can help solve them. It briefly presents also mathematical structures and descriptions for ART, CNN and SVM networks as well as Expectation–Maximization and Gaussian Mixture Model algorithms that are used in solving of discussed problems. The third chapter discusses the attitude of society towards the use of neural network algorithms in military applications. The basic problems related to ethics in the application of artificial intelligence and issues of responsibility for errors made by autonomous systems are discussed.

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