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Profit margin prediction in sustainable road freight transportation using machine learning

Journal of Cleaner Production, 2021
Abstract With the increasing transportation activities, road freight transportation has caused significant impacts on sustainability. The necessity of establishing sustainable road freight transportation plans have emerged for businesses. Therefore, it is important to develop decision support models that can be used by managers for sustainable road ...
Ayşenur Budak, P. Sarvari
semanticscholar   +2 more sources

Machine Learning Based Approach to Assess Territorial Marginality

2022
The territorial cohesion is one of the primary objectives for the European Union and it affects economic recovery pushing the role of Public Administration in promoting territorial development actions. The National Strategy for Inner Areas (SNAI) is a public policy promoting endogenous development processes in marginal territories with low settlement ...
Simone Corrado, Francesco Scorza
openaire   +2 more sources

Multi-class Support Vector Machine with Maximizing Minimum Margin

AAAI Conference on Artificial Intelligence, 2023
Support Vector Machine (SVM) stands out as a prominent machine learning technique widely applied in practical pattern recognition tasks. It achieves binary classification by maximizing the "margin", which represents the minimum distance between instances
F. Nie, Zhezheng Hao, Rong Wang
semanticscholar   +1 more source

Effectiveness of Machine Learning in Assessing QoT Impairments of Photonics Integrated Circuits to Reduce System Margin

International Conference on Intelligent Pervasive Computing, 2020
We propose machine learning technique for assessment of QoT impairments of integrated circuits. We consider margin reduction problem applied to a switching component.
Ihtesham Khan   +9 more
semanticscholar   +1 more source

Maximal Margin Support Vector Machine for Feature Representation and Classification

IEEE Transactions on Cybernetics, 2023
High-dimensional small sample size data, which may lead to singularity in computation, are becoming increasingly common in the field of pattern recognition.
Zhihui Lai   +4 more
semanticscholar   +1 more source

Support Vector Machine Algorithm in Machine Learning

2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), 2022
The Support Vector methods was proposed by V.Vapnik in 1965, when he was trying to solve problems in pattern recognition. In 1971, Kimeldorf proposed a method of constructing kernel space based on support vectors.
Qiyu Wang
semanticscholar   +1 more source

Artificial Intelligence in Investment Portfolio Optimization: A Comparative Study of Machine Learning Algorithms

International Journal of Science and Research Archive, 2022
This paper examines the use of artificial intelligence in managing investment portfolios, emphasizing the performance of different machine learning techniques.
Muhammad Ashraf Faheem   +2 more
semanticscholar   +1 more source

Heart Disease Prediction and Classification using Machine Learning and Transfer Learning Model

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS), 2022
Heart disease is a dangerous condition that can lead to a fatal condition due to cardiac arrest. Recent studies have revealed various facts for analyzing cardiac data by sensing, monitoring, and learning data in IoT to predict early diagnosis and ...
R. Sivaprasad   +5 more
semanticscholar   +1 more source

Net Profit Margin Forecasting with Machine Learning Methods in Hospital Finance Management

Journal of Health Systems and Policies, 2023
Hospital information management systems (HIMS) were managed using paper-based systems with individual efforts in the pre-computer period. Today, in parallel with technological developments, it is carried out digitally in an electronic environment.
Oğuz CECE, Mehmet GENÇTÜRK
openaire   +2 more sources

Machine Learning for Sleep Apnea Detection with Unattended Sleep Monitoring at Home

ACM Trans. Comput. Heal., 2021
Sleep apnea is a common and strongly under-diagnosed severe sleep-related respiratory disorder with periods of disrupted or reduced breathing during sleep.
Stein Kristiansen   +13 more
semanticscholar   +1 more source

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