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Roberta Vrskova, Robert Hudec, Patrik Kamencay and Peter Sykora
Interest in utilizing neural networks in a variety of scientific and academic studies and in industrial applications is increasing. In addition to the growing interest in neural networks, there is also a rising interest in video classification. Object de...
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Mahdieh Kazemimoghadam and Nicholas P. Fey
Fundamental knowledge in activity recognition of individuals with motor disorders such as Parkinson?s disease (PD) has been primarily limited to detection of steady-state/static tasks (e.g., sitting, standing, walking). To date, identification of non-ste...
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Francesca Romana Cavallo, Christofer Toumazou and Konstantin Nikolic
The modern sedentary lifestyle is negatively influencing human health, and the current guidelines recommend at least 150 min of moderate activity per week. However, the challenge is how to measure human activity in a practical way. While accelerometers a...
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Cosmas Ifeanyi Nwakanma, Fabliha Bushra Islam, Mareska Pratiwi Maharani, Jae-Min Lee and Dong-Seong Kim
Factory shop floor workers are exposed to threats and accidents due to their encounters with tools, equipment, and toxic materials. There are cases of occupational accidents resulting in injuries to workers and precipitating lawsuits, which on the other ...
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Paulo J. S. Ferreira, João M. P. Cardoso and João Mendes-Moreira
The kNN machine learning method is widely used as a classifier in Human Activity Recognition (HAR) systems. Although the kNN algorithm works similarly both online and in offline mode, the use of all training instances is much more critical online than of...
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Hadi Helmi Md Zuraini,Waidah Ismail,Rimuljo Hendradi,Army Justitia
Pág. 46 - 54
Background: Heartbeat playing the main roles in our life. With the heartbeat, the anxiety level can be known. Most of the heartbeat is used in the exercise. Heart rate measurement is unique and uncontrollable by any human being.Objective: This research a...
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Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Petre Lameski and Eftim Zdravevski
One class of applications for human activity recognition methods is found in mobile devices for monitoring older adults and people with special needs. Recently, many studies were performed to create intelligent methods for the recognition of human activi...
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Shurui Fan, Yating Jia and Congyue Jia
The purpose of activity recognition is to identify activities through a series of observations of the experimenter?s behavior and the environmental conditions. In this study, through feature selection algorithms, we researched the effects of a large numb...
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Panpan Ge, Jun He, Shuhua Zhang, Liwei Zhang and Jiangfeng She
Urban land use information is critical to urban planning, but the increasing complexity of urban systems makes the accurate classification of land use extremely challenging. Human activity features extracted from big data have been used for land use clas...
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Lieven Billiet, Thijs Swinnen, Kurt De Vlam, Rene Westhovens and Sabine Van Huffel
In current clinical practice, functional limitations due to chronic musculoskeletal diseases are still being assessed subjectively, e.g., using questionnaires and function scores. Performance-based methods, on the other hand, offer objective insights. He...
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Akash Gupta, Adnan Al-Anbuky and Peter McNair
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Domokos Esztergár-Kiss, András Munkácsy, Guillermo Velázquez
Pág. 9 - 16
A growing trend is observable towards flexible mobility solutions, especially regarding the flexibility in times and locations of the activities. This indicates a complex optimization problem, where many parameters have to be considered. Our paper deals ...
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Pierre Olivier
AbstractIn this study failure-prognosis models have been compiled for periods of high and low economical activity. Profitability, cash flow and activity ratio's have given better classification results during high economical activity than during low econ...
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Pierre Olivier
AbstractIn this study failure-prognosis models have been compiled for periods of high and low economical activity. Profitability, cash flow and activity ratio's have given better classification results during high economical activity than during low econ...
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Konstantinos Peppas, Apostolos C. Tsolakis, Stelios Krinidis and Dimitrios Tzovaras
Given the ubiquity of mobile devices, understanding the context of human activity with non-intrusive solutions is of great value. A novel deep neural network model is proposed, which combines feature extraction and convolutional layers, able to recognize...
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Xucai Zhang, Yeran Sun, Anyao Zheng and Yu Wang
The information of land use plays an important role in urban planning and optimizing the allocation of resources. However, traditional land use classification is imprecise. For instance, the type of commercial land is highly filled with the categories of...
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Ümmü Gülsüm Söylemez, Malik Yousef, Zülal Kesmen, Mine Erdem Büyükkiraz and Burcu Bakir-Gungor
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics in order to overcome the growing problems of antibiotic resistance. Computational prediction approaches receive an increasing interest to identify and desi...
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Danica Zendulková, Boris Rysula and Andrea Putalová
In the light of the increasing importance of the societal impact of research, this article attempts to address the question as to how social sciences and humanities (SSH) research outputs from 2019 are represented in Slovak research portfolios in compari...
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M. Talat Odman, Ran Huang, Aditya A. Pophale, Rushabh D. Sakhpara, Yongtao Hu, Armistead G. Russell and Michael E. Chang
Prescribed burning (PB) is practiced throughout the USA, most extensively in the southeast, for the purpose of maintaining and improving the ecosystem and reducing wildfire risk. However, PB emissions contribute significantly to trace gas and particulate...
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Nina Avanesova, Yevhen Chuprin
Pág. 98 - 102
The subjectmatter of the study is determining the essence of economic security. The aim is to systematize the approaches to the interpretation of the concept "enterprise economic security". The immediacy of the study is motivated by the lack of consisten...
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