Comparing Combinations of Linear and Nonlinear Feedback Terms for Ship Motion Control
IEEE Access, 2020 In this article, combinations of linear and nonlinear feedback terms are investigated for 3 degrees-of-freedom pose and velocity control of ships. Nonlinear control algorithms that are found in the literature often have linear feedback terms, which ...
Mikkel Eske Norgaard Sorensen +2 more
doaj +1 more source
A Literature Review of Performance Metrics of Automated Driving Systems for On-Road Vehicles
Frontiers in Future Transportation, 2021 The article presents a review of recent literature on the performance metrics of Automated Driving Systems (ADS). More specifically, performance indicators of environment perception and motion planning modules are reviewed as they are the most ...
M. N. Sharath, Babak Mehran
semanticscholar +1 more source
"How many images do I need?" Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring [PDF]
Ecological Informatics, 2020 Deep learning (DL) algorithms are the state of the art in automated classification of wildlife camera trap images. The challenge is that the ecologist cannot know in advance how many images per species they need to collect for model training in order to ...
S. Shahinfar, P. Meek, G. Falzon
semanticscholar +1 more source
On the hopping pattern design for D2D Discovery [PDF]
, 2014 The hopping pattern for D2D Discovery are investi- gated. We propose three metrics for hopping pattern performance evaluation: column period, maximal collision ratio, maximal con- tinual collision number.
Liu, Deping, Zhang, Qizhi
core +1 more source
Movie Recommender Systems: Concepts, Methods, Challenges, and Future Directions
Sensors, 2022 Movie recommender systems are meant to give suggestions to the users based on the features they love the most. A highly performing movie recommendation will suggest movies that match the similarities with the highest degree of performance.
Sambandam Jayalakshmi +3 more
doaj +1 more source
Pattern Recognition, 2019 A major issue in the classification of class imbalanced datasets involves the determination of the most suitable performance metrics to be used. In previous work using several examples, it has been shown that imbalance can exert a major impact on the ...
Amalia Luque +3 more
semanticscholar +1 more source
Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology [PDF]
Interdisciplinary Journal of Information, Knowledge, and Management, 2018 Aim/Purpose: The aim of this study was to analyze various performance metrics and approaches to their classification. The main goal of the study was to develop a new typology that will help to advance knowledge of metrics and facilitate their use in ...
A. Botchkarev
semanticscholar +1 more source
Sensors, 2022 Wireless sensor networks (WSNs) have recently been viewed as the basic architecture that prepared the way for the Internet of Things (IoT) to arise.
Roopali Dogra +5 more
doaj +1 more source
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2020 In machine learning (ML), ensemble methods-such as bagging, boosting, and stacking-are widely-established approaches that regularly achieve top-notch predictive performance.
Angelos Chatzimparmpas +3 more
semanticscholar +1 more source
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising [PDF]
Web Search and Data Mining, 2020 In e-commerce advertising, the ad platform usually relies on auction mechanisms to optimize different performance metrics, such as user experience, advertiser utility, and platform revenue.
Zhilin Zhang +9 more
semanticscholar +1 more source