|
|
|
|
|
Mizuki Asano, Takumi Miyoshi and Taku Yamazaki
Smart home environments, which consist of various Internet of Things (IoT) devices to support and improve our daily lives, are expected to be widely adopted in the near future. Owing to a lack of awareness regarding the risks associated with IoT devices ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kexiang Qian, Hongyu Yang, Ruyu Li, Weizhe Chen, Xi Luo and Lihua Yin
With the rapid growth of IoT devices, the threat of botnets is becoming increasingly worrying. There are more and more intelligent detection solutions for botnets that have been proposed with the development of artificial intelligence. However, due to th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn and Hamid Alinejad-Rokny
Instructors face significant time and effort constraints when grading students? assessments on a large scale. Clustering similar assessments is a unique and effective technique that has the potential to significantly reduce the workload of instructors in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cindy Trinh, Silvia Lasala, Olivier Herbinet and Dimitrios Meimaroglou
This article investigates the applicability domain (AD) of machine learning (ML) models trained on high-dimensional data, for the prediction of the ideal gas enthalpy of formation and entropy of molecules via descriptors. The AD is crucial as it describe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nicoleta Stroia, Daniel Moga, Dorin Petreus, Alexandru Lodin, Vlad Muresan and Mirela Danubianu
The monitoring of power consumption and the forecasting of load profiles for residential appliances are essential aspects of the control of energy savings/exchanges at multiple hierarchical levels: house, house cluster, neighborhood, and city. External e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ayako Yagahara, Masahito Uesugi and Hideto Yokoi
Japanese medical device adverse events terminology, published by the Japan Federation of Medical Devices Associations (JFMDA terminology), contains entries for 89 terminology items, with each of the terminology entries created independently. It is necess...
ver más
|
|
|
|
|
|
|
|
|
|
|
Adam Wawrzynski and Julian Szymanski
To effectively process textual data, many approaches have been proposed to create text representations. The transformation of a text into a form of numbers that can be computed using computers is crucial for further applications in downstream tasks such ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fabio Massimo Zanzotto, Giorgio Satta and Giordano Cristini
Parsing is a key task in computer science, with applications in compilers, natural language processing, syntactic pattern matching, and formal language theory. With the recent development of deep learning techniques, several artificial intelligence appli...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christos Makris, Georgios Pispirigos and Michael Angelos Simos
Text annotation is the process of identifying the sense of a textual segment within a given context to a corresponding entity on a concept ontology. As the bag of words paradigm?s limitations become increasingly discernible in modern applications, severa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fei Liao, Liangli Ma, Jingjing Pei and Linshan Tan
Military named entity recognition (MNER) is one of the key technologies in military information extraction. Traditional methods for the MNER task rely on cumbersome feature engineering and specialized domain knowledge. In order to solve this problem, we ...
ver más
|
|
|
|
|
|