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An Alignment Method Based on KF-ASMUKF Hybrid Filtering for Ship’s SINS under Mooring Conditions
Sensors, 2021 To solve the problem that the ship’s strapdown inertial navigation system (SINS) alignment accuracy decreases with the increase of the nonlinear filtering state dimension under mooring conditions, a method based on Kalman filter (KF) and Adaptive scale ...
Pengchao Yao, Gongliu Yang, Xiafu Peng
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Analysis of existing algorithms of music recommendation systems
Технічна інженерія, 2022 We live in a time characterized by excessive information overload. For example, a user looking for music, goods or videos does not intend to spend a lot of time and delve into the complexities of the search process. In such situations, it is advisable to
R.S. Hordeiev, M.S.
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Финансы: теория и практика, 2022 Identifying where to invest and how much to invest can be very challenging for common people who have limited knowledge in the domain. Portfolio managers are financial professionals who spend a lot of time and effort to help investors in investing funds ...
J. R. Saini, C. Vaz
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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Today, consumers are faced with an abundance of information on the internet; accordingly, it is hard for them to reach the vital information they need. One of the reasonable solutions in modern society is implementing information filtering.
Muhammad Johari, Arif Laksito
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Efficient Machine Learning Algorithms in Hybrid Filtering Based Recommendation System [PDF]
Journal of Information Technology Management, 2023 The widespread use of E-commerce websites has drastically increased the need for automatic recommendation systems with machine learning. In recent years, many ML-based recommenders and analysers have been built; however, their scope is limited to using a
. Ruchika +2 more
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Repeated median and hybrid filters [PDF]
Computational Statistics & Data Analysis, 2006 Standard median filters preserve abrupt shifts (edges) and remove impulsive noise (outliers) from a constant signal but they deteriorate in trend periods. FIR median hybrid (FMH) filters are more flexible and also preserve shifts, but they are much more vulnerable to outliers.
Fried, Roland +2 more
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Job Recommendation System Using Hybrid Filtering [PDF]
ITM Web of Conferences, 2022 As for today’s era, recruitment can be considered as one of most difficult process to undergo for job seeking candidate. Many fresher candidates face issue while job recruitment process to undergo which field of interest.
Mulay Aneesh +4 more
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Hybrid sampling Bayesian Occupancy Filter [PDF]
2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014 Modeling and monitoring dynamic environments is a complex task but is crucial in the field of intelligent vehicle. A traditional way of addressing these issues is the modeling of moving objects, through Detection And Tracking of Moving Objects (DATMO) methods.
Nègre, Amaury +2 more
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A Filtering Algorithm for Strong Maneuvering Target Based on Adaptive Grid Mechanism [PDF]
Hangkong bingqi, 2021 In this paper, a filtering algorithm for tracking strong maneuvering targets is proposed to improve the attack ability of air-to-air missiles in air combat.
He Jingang, Xu Linfeng, Zhang Jinpeng, Yu Zhimin
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Hybrid Recommendation Using Temporal Data for Accuracy Improvement in Item Recommendation
Journal of Information and Organizational Sciences, 2021 Recommender systems have become a vital entity to the business world in form of software tools to make decisions. It estimates the overloaded information and provides the suitable decisions in any kind of business work through online.
Desabandhu Parasuraman +1 more
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