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Stamatis Karlos, Georgios Kostopoulos and Sotiris Kotsiantis
In recent years, a forward-looking subfield of machine learning has emerged with important applications in a variety of scientific fields. Semi-supervised learning is increasingly being recognized as a burgeoning area embracing a plethora of efficient me...
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Michael J. Prince
Pág. 95 - 120
In this article, practices of Canadian electoral management bodies at federal provincial and territorial levels are examined, especially those methods designed to assist electors with disabilities with voting. Different models of disability co-exist with...
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Michael J. Prince
Pág. 95 - 120
In this article, practices of Canadian electoral management bodies at federal provincial and territorial levels are examined, especially those methods designed to assist electors with disabilities with voting. Different models of disability co-exist with...
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Aiiad Albeshri
Many smart city and society applications such as smart health (elderly care, medical applications), smart surveillance, sports, and robotics require the recognition of user activities, an important class of problems known as human activity recognition (H...
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Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas and Panagiotis Pintelas
During the last decades, intensive efforts have been devoted to the extraction of useful knowledge from large volumes of medical data employing advanced machine learning and data mining techniques. Advances in digital chest radiography have enabled resea...
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Yuhai Yu, Hongfei Lin, Jiana Meng, Xiaocong Wei, Hai Guo and Zhehuan Zhao
Medical images are valuable for clinical diagnosis and decision making. Image modality is an important primary step, as it is capable of aiding clinicians to access required medical image in retrieval systems. Traditional methods of modality classificati...
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Abhilash Pati, Manoranjan Parhi, Mohammad Alnabhan, Binod Kumar Pattanayak, Ahmad Khader Habboush and Mohammad K. Al Nawayseh
Recently, it has proven difficult to make an immediate remote diagnosis of any coronary illness, including heart disease, diabetes, etc. The drawbacks of cloud computing infrastructures, such as excessive latency, bandwidth, energy consumption, security,...
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Maurizio Naldi
Pág. 11 - 18
Cloud availability is an important parameter present in a typical Service Level Agreement (SLA). In order to check compliance with SLA commitments, a third party availability measurement is strongly needed. An availability estimation metho...
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Yanping Shen, Kangfeng Zheng, Yanqing Yang, Shuai Liu and Meng Huang
Various machine-learning methods have been applied to anomaly intrusion detection. However, the Intrusion Detection System still faces challenges in improving Detection Rate and reducing False Positive Rate. In this paper, a Class-Level Soft-Voting Ensem...
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Qifan Xue, Xuanpeng Li, Dong Wang and Weigong Zhang
Sign language recognition (SLR) is a bridge linking the hearing impaired and the general public. Some SLR methods using wearable data gloves are not portable enough to provide daily sign language translation service, while visual SLR is more flexible to ...
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Dev Shah, Haruna Isah and Farhana Zulkernine
Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that stock markets are essentially a random walk and it is a fool?s game to try and predict them. Predicting stock prices is a challenging ...
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Fatemeh Mirzaei,Mahdi Mollamotalebi
Pág. 1 - 9
The Vehicular Ad-hoc Network (VANET) is used in intelligent transportation systems to make communication between vehicles and make appropriate decisions with regard to road or traffic conditions. Some main research issues in VANETs are unreliability in c...
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Antonio De Nicola, Giordano Vicoli and Maria Luisa Villani
Business innovation is a process that requires creativity, and benefits from extensive collaboration. Currently, computational support in creativity processes is low, but modern techniques would allow these processes to be sped up. In this context, we pr...
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Yury D. Motorygin,Vladimir S. Artamonov,Alexander V. Maximov,Elena N. Trofimets,Valeriy Y. Trofimets
Pág. 1956 - 1964
The applicability of a set of methods in the case of obtaining mixed results of the final ranking of economic entities in the process of their rating assessment has been substantiated. A new method of the formation of rating preferences upon collective c...
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Nureni Ayofe Azeez and Emad Fadhal
Background: Internet social media platforms have become quite popular, enabling a wide range of online users to stay in touch with their friends and relatives wherever they are at any time. This has led to a significant increase in virtual crime from the...
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Abhay Singh, Ankush Ganesh, Rutuja Rajendra Patil, Sumit Kumar, Ruchi Rani and Sanjeev Kumar Pippal
Voting is a democratic process that allows individuals to choose their leaders and voice their opinions. However, the current situation with physical voting involves long queues, paper-based ballots, and security challenges. Blockchain-based voting model...
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Gustavo E. Ramos-Alcaraz, Miguel A. Alonso-Arévalo and Juan M. Nuñez-Alfonso
Accurate attitude determination is crucial for satellites and spacecraft. Among attitude determination devices, star sensors are the most accurate. Solving the lost-in-space problem is the most critical function of the star sensor. Our research introduce...
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Zhipeng Zhang and Liyi Zhang
Electroencephalography (EEG)-based emotion recognition technologies can effectively help robots to perceive human behavior, which have attracted extensive attention in human?machine interaction (HMI). Due to the complexity of EEG data, current researcher...
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Simranjot Mann and Sharon K. Byrne
Period poverty is a global issue that needs to be addressed as a public health crisis. It is directly related to Sustainable Health Goals three, four, five, six, and eight. Period poverty adversely affects the health of anyone capable of menstruating, wh...
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Manjur Kolhar and Sultan Mesfer Aldossary
Deep learning (DL) algorithms can improve healthcare applications. DL has improved medical imaging diagnosis, therapy, and illness management. The use of deep learning algorithms on sensitive medical images presents privacy and data security problems. Im...
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