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Riham Ginzarly, Ghaleb Hoblos and Nazih Moubayed
Due to the accelerating pace of environmental concerns and fear of the depletion of conventional sources of energy, researchers are working on finding renewable energy sources of power for different axes of life. The transportation sector has intervened ...
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Nguyet Nguyen
Hidden Markov model (HMM) is a statistical signal prediction model, which has been widely used to predict economic regimes and stock prices. In this paper, we introduce the application of HMM in trading stocks (with S&P 500 index being an example) ba...
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Jinqiang Yao, Yu Qian, Zhanyu Feng, Jian Zhang, Hongbin Zhang, Tianyi Chen and Shaoyin Meng
With the development of vehicle-road network technologies, the future traffic flow will appear in the form of hybrid network traffic flow for a long time. Due to the change in traffic characteristics, the current hard shoulder running strategy based on t...
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Karishma Agrawal, Supachai Vorapojpisut
Pág. 241 - 253
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Yajie Zou, Lusa Ding, Hao Zhang, Ting Zhu and Lingtao Wu
Driving behavior is one of the most critical factors in traffic accidents. Accurate vehicle acceleration prediction approaches can promote the development of Advanced Driving Assistance Systems (ADAS) and improve traffic safety. However, few prediction m...
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Massimo Guidolin and Manuela Pedio
In this paper, we conduct a thorough investigation of the predictive ability of forward and backward stepwise regressions and hidden Markov models for the futures returns of several commodities. The predictive performance relative a standard AR(1) benchm...
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Monika Tanwar, Hyunseok Park and Nagarajan Raghavan
Lubricating Oil Diagnostics and Prognostics.
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Taehoon Kim, Kyoung-Sook Kim and Ki-Joune Li
With the development of indoor positioning methods, such as Wi-Fi positioning, geomagnetic sensor positioning, Ultra-Wideband positioning, and pedestrian dead reckoning, the area of location-based services (LBS) is expanding from outdoor to indoor spaces...
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Daniel N. de Bruyn, Ben Kotze and William Hurst
Time-based smart home controllers govern their environment with a predefined routine, without knowing if this is the most efficient way. Finding a suitable model to predict energy consumption could prove to be an optimal method to manage the electricity ...
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Larissa Zaira Rafael Rolim and Francisco de Assis de Souza Filho
Improved water resource management relies on accurate analyses of the past dynamics of hydrological variables. The presence of low-frequency structures in hydrologic time series is an important feature. It can modify the probability of extreme events occ...
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Zhenbo Lu, Jingxin Xia, Man Wang, Qinghui Nie and Jishun Ou
Short-term traffic flow forecasting is crucial for proactive traffic management and control. One key issue associated with the task is how to properly define and capture the temporal patterns of traffic flow. A feasible solution is to design a multi-regi...
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Tian Xia and Xuemin Chen
Many machine learning methods have been applied for short messaging service (SMS) spam detection, including traditional methods such as naïve Bayes (NB), vector space model (VSM), and support vector machine (SVM), and novel methods such as long short-ter...
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Chunchun Hu and Jean-Claude Thill
Emerging on-line reservation services and special car services have greatly affected the development of the taxi industry. Surprisingly, taking a taxi is still a significant problem in many large cities. In this paper, we present an effective solution ba...
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Sandrine Tornay and Mathew Magimai.-Doss
Communication languages convey information through the use of a set of symbols or units. Typically, this unit is word. When developing language technologies, as words in a language do not have the same prior probability, there may not be sufficient train...
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Huan Wang, Bin Wu, Yuancheng Yao and Mingwei Qin
Spectrum sensing is the necessary premise for implementing cognitive radio technology. The conventional wideband spectrum sensing methods mainly work with sweeping frequency and still face major challenges in performance and efficiency. This paper introd...
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Wondimu K. Zegeye, Richard A. Dean and Farzad Moazzami
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Nyothiri Aung, Weidong Zhang, Sahraoui Dhelim and Yibo Ai
With the emergence of autonomous vehicles and internet of vehicles (IoV), future roads of smart cities will have a combination of autonomous and automated vehicles with regular vehicles that require human operators. To ensure the safety of the road commu...
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Nyothiri Aung, Weidong Zhang, Sahraoui Dhelim and Yibo Ai
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Jia-Hua Chen and Shu-Liang Zou
Shearing machines are the key pieces of equipment for spent–fuel reprocessing in commercial reactors. Once a failure happens and is not detected in time, serious consequences will arise. It is very important to monitor the shearing machine and to d...
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