Filters








394 Hits in 6.7 sec

Bayesian Networks-Based Interval Training Guidance System for Cancer Rehabilitation [chapter]

Myung-kyung Suh, Kyujoong Lee, Alfred Heu, Ani Nahapetian, Majid Sarrafzadeh
2010 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
A hybrid of a content-based, context-aware, and collaborative filtering methods using Bayesian networks incorporates the user's music preferences and the exercise speed that will enhance performance.  ...  By measuring the exercise accuracy of the user through sensor readings, specifically accelerometers embedded in the iPhone, we are able to play suitable songs to match the user's workout plan.  ...  The LIBRA system (Mooney [29] ) recommends books by using contentbased and collaborative filtering. Many systems use hybrid features of content-based and collaborative filtering to recommend items.  ... 
doi:10.1007/978-3-642-12607-9_16 fatcat:omlqzwol5fbvvocrlqoe7s7xvi

Machine Learning-Based Adaptive Wireless Interval Training Guidance System

Myung-kyung Suh, Ani Nahapetian, Jonathan Woodbridge, Mahsan Rofouei, Majid Sarrafzadeh
2011 Journal on spesial topics in mobile networks and applications  
A hybrid collaborative, content, and context-aware filtering algorithm incorporates the user's music preferences and the exercise speed to enhance performance.  ...  By measuring a user's performance through sensor readings, we are able to play songs that match the user's workout plan.  ...  The LIBRA system [15] recommends books by using content-based and collaborative filtering. Many systems use hybrid features of content-based and collaborative filtering to recommend items.  ... 
doi:10.1007/s11036-011-0331-5 fatcat:fbbibnzi2vd4xhjrcugrb26u6y

Interval training guidance system with music and wireless group exercise motivations

Myung-kyung Suh, Kyujoong Lee, Ani Nahapetian, Majid Sarrafzadeh
2009 2009 IEEE International Symposium on Industrial Embedded Systems  
A hybrid of a collaborative, content, and context-aware filtering algorithm incorporates the user's music preferences and the exercise speed that will enhance performance.  ...  By measuring performance of the user through sensor readings, specifically accelerometers embedded in the iPhone, we are able to play the right song to match the user's workout plan.  ...  The LIBRA system (Mooney [37] ) recommends books by using content-based and collaborative filtering. Many systems use hybrid features of content-based and collaborative filtering to recommend items.  ... 
doi:10.1109/sies.2009.5196202 dblp:conf/sies/SuhLNS09 fatcat:ibdzinnymfba3defw5b2egx6ri

2021 Index IEEE Transactions on Industrial Informatics Vol. 17

2021 IEEE Transactions on Industrial Informatics  
., +, TII Feb. 2021 991-1004 Personalized Residential Energy Usage Recommendation System Based on Load Monitoring and Collaborative Filtering.  ...  ., +, TII Jan. 2021 659-666 Personalized Residential Energy Usage Recommendation System Based on Load Monitoring and Collaborative Filtering.  ... 
doi:10.1109/tii.2021.3138206 fatcat:ulsazxgmpfdmlivigjqgyl7zre

2019 Index IEEE Transactions on Industrial Informatics Vol. 15

2019 IEEE Transactions on Industrial Informatics  
., +, TII April 2019 2146-2157 Bayesian Hybrid Collaborative Filtering-Based Residential Electricity Plan Recommender System.  ...  ., +, TII Aug. 2019 4656-4664 Collaborative filtering Bayesian Hybrid Collaborative Filtering-Based Residential Electricity Plan Recommender System.  ... 
doi:10.1109/tii.2020.2968165 fatcat:utk3ywxc6zgbdbfsys5f4otv7u

Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review

Abiodun E. Onile, Ram Machlev, Eduard Petlenkov, Yoash Levron, Juri Belikov
2021 Energy Reports  
In light of this challenge, the current study focuses on innovative energy services that are based on intelligent recommendation systems and digital twins.  ...  Among other measures for stimulating consumers' behavior changes based on attention triggers, personalized recommendations are essential to enhance sustainable progress towards energy efficiency.  ...  Work Luo et al. (2019) introduced an electricity retail plan recommender system for end consumer based on social information filtering techniques.  ... 
doi:10.1016/j.egyr.2021.01.090 fatcat:pkb3bqfwqjakfpkgs6m5h6jyau

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
, J., TII Oct. 2020 6413-6422 Meng, J., see Sun, Q., TII Aug. 2020 5137-5149 Meng, K., see Zhang, Y., TII July 2020 4390-4402 Meng, K., Jia, Y., Yang, H., Niu, F., Wang, Y., and Sun, D., Motion Planning  ...  Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022  ...  Li, Y., +, TII July 2020 4823-4831 Trust-Enhanced Collaborative Filtering for Personalized Point of Interests Recommendation.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

Proactive buildings: A prescriptive maintenance approach [article]

Paraskevas Koukaras, Asimina Dimara, Niccolò Zangrando, Sergio Herrera Gonzalez, Stelios Krinidis, Dimosthenis Ioannidis, Piero Fraternali, Christos Tjortjis, Christos-Nikolaos Anagnostopoulos, Dimitrios Tzovaras
2022 Zenodo  
There are several techniques for prescriptive maintenance in diverse use cases, but none elaborates on a general methodology that permits successful prescriptive analysis for small size industrial or residential  ...  Acknowledgements This work is supported by the project PRECEPT -A novel decentralized edge-enabled PREsCriptivE and ProacTive framework for increased energy efficiency and well-being in residential buildings  ...  The findings are validated using an automated condition monitoring system that generates discrete-events and an agent-based simulation setup based on one-month's flight plan data [12] .  ... 
doi:10.5281/zenodo.6460219 fatcat:3qcy2e4355byfjutzv7tuekfxm

Review of Low Voltage Load Forecasting: Methods, Applications, and Recommendations [article]

Stephen Haben, Siddharth Arora, Georgios Giasemidis, Marcus Voss, Danica Vukadinovic Greetham
2021 arXiv   pre-print
The increased digitalisation and monitoring of the energy system opens up numerous opportunities to decarbonise the energy system.  ...  This paper aims to provide a comprehensive overview of the landscape, current approaches, core applications, challenges and recommendations.  ...  They utilize very short-term (15 sec) PV power forecasts, using a hybrid modelling scheme based on Kalman filter theory. Zufferey et al.  ... 
arXiv:2106.00006v2 fatcat:rb2yrt4tsjap3jhrb7dz76dg2e

2019 Index IEEE Systems Journal Vol. 13

2019 IEEE Systems Journal  
Ren, R., +, JSYST March 2019 760-770 Hybrid Machine Learning System to Forecast Electricity Consumption of Smart Grid-Based Air Conditioners.  ...  ., +, JSYST Sept. 2019 3347-3357 Load forecasting Hybrid Machine Learning System to Forecast Electricity Consumption of Smart Grid-Based Air Conditioners.  ... 
doi:10.1109/jsyst.2020.2965224 fatcat:x7hx4luelzforfuzigmwmfyhgm

2020 Index IEEE Systems Journal Vol. 14

2020 IEEE Systems Journal  
Li, F., +, New Hybrid Fault Prognosis Method for MFS Systems Based on Distributed Neural Networks and Recursive Bayesian Algorithm.  ...  ., +, JSYST Dec. 2020 5441-5450 A New Hybrid Fault Prognosis Method for MFS Systems Based on Distributed Neural Networks and Recursive Bayesian Algorithm.  ...  Principal component analysis Energy-Efficient Design of MI Communication-Based 3-D Non-Conventional WSNs.  ... 
doi:10.1109/jsyst.2021.3054547 fatcat:zf2aafvnfzbeje32qei5563myu

Load Forecasting Techniques for Power System: Research Challenges and Survey

Naqash Ahmad, Yazeed Ghadi, Muhammad Adnan, Mansoor Ali
2022 IEEE Access  
The demand of electricity can be forecasted amicably by many Machine Learning (ML), Deep Learning (DL) and Artificial Intelligence (AI) techniques among which hybrid methods are most popular.  ...  The main and pivot part of electric companies is the load forecasting.  ...  The planning and operation of electric power system strongly depends on important process of load forecasting.  ... 
doi:10.1109/access.2022.3187839 fatcat:efyh2vr5rnayja33salmeaqwum

Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges

Juan Guerra-Montenegro, Javier Sanchez-Medina, Ibai Laña, David Sanchez-Rodriguez, Itziar Alonso-Gonzalez, Javier Del Ser
2021 Applied Soft Computing  
A set of guidelines and recommendations for future research areas and promising applications are also presented in a final section.  ...  [5] proposed a clustering-based hybrid approach to hourly forecast electricity demand by using fuzzy C-means alongside a hybrid sensor-based model.  ...  Also, in [126] it is said that better energy planning and administration can be provided by an accurate forecast of monthly electricity consumption, using a hybrid SVR + fruit fly algorithm optimization  ... 
doi:10.1016/j.asoc.2021.107082 fatcat:b6oavdvehvaabcsd2vhypmgafu

A Review of Information Fusion Methods for Gas Turbine Diagnostics

Valentina Zaccaria, Moksadur Rahman, Ioanna Aslanidou, Konstantinos Kyprianidis
2019 Sustainability  
Based on the lessons learned, new perspectives for diagnostics and a decision support system are proposed.  ...  Information fusion techniques such as Bayesian networks, fuzzy logic, or probabilistic neural networks can be used to implement a decision support system.  ...  Gas turbine-based hybrid systems (e.g., solar hybrid [5] and fuel cell hybrid [6] ) are also considered promising solutions for increasing efficiency, flexibility, and availability of renewable power  ... 
doi:10.3390/su11226202 fatcat:kry6gcqnobbtdeuti4kezied7y

Abstract Book of the First International Conference on Distributed Computing and High Performance Computing 2018 (DCHPC 2018)

Shamsollah Ghanbari, Mohamed Othman, Marym KhosroKhani
2018 Zenodo  
We plan to hold this conference once every two years. Along these lines, we are establishing "Iran Distributed Computing and Systems Society (IDCS)" to unite a wider audience from the globe.  ...  Conclusion In this work, different features and facilities for on-line collaborator recommending systems have been studied.  ...  in providing direct collaborator recommendation has been discussed.  ... 
doi:10.5281/zenodo.3613886 fatcat:jhiy7ljttbduhkzpfycorw53ou
« Previous Showing results 1 — 15 out of 394 results