Wi-Fi fingerprint-based indoor positioning: Recent advances and comparisons
The growing commercial interest in indoor location-based services (ILBS) has spurred
recent development of many indoor positioning techniques. Due to the absence of Global …
recent development of many indoor positioning techniques. Due to the absence of Global …
Survey of context provisioning middleware
In the scope of ubiquitous computing, one of the key issues is the awareness of context,
which includes diverse aspects of the user's situation including his activities, physical …
which includes diverse aspects of the user's situation including his activities, physical …
ChemSpot: a hybrid system for chemical named entity recognition
Motivation: The accurate identification of chemicals in text is important for many applications,
including computer-assisted reconstruction of metabolic networks or retrieval of information …
including computer-assisted reconstruction of metabolic networks or retrieval of information …
Lightweight map matching for indoor localisation using conditional random fields
Indoor tracking and navigation is a fundamental need for pervasive and context-aware
smartphone applications. Although indoor maps are becoming increasingly available, there …
smartphone applications. Although indoor maps are becoming increasingly available, there …
A taxonomy of supervised learning for idss in scada environments
Supervisory Control and Data Acquisition (SCADA) systems play an important role in
monitoring industrial processes such as electric power distribution, transport systems, water …
monitoring industrial processes such as electric power distribution, transport systems, water …
Geomagnetism for smartphone-based indoor localization: Challenges, advances, and comparisons
Geomagnetism has recently attracted considerable attention for indoor localization due to its
pervasiveness and independence from extra infrastructure. Its location signature has been …
pervasiveness and independence from extra infrastructure. Its location signature has been …
Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments
We report on our experiences regarding the acquisition of hybrid Semantic 3D Object Maps
for indoor household environments, in particular kitchens, out of sensed 3D point cloud data …
for indoor household environments, in particular kitchens, out of sensed 3D point cloud data …
Detection of IUPAC and IUPAC-like chemical names
Motivation: Chemical compounds like small signal molecules or other biological active
chemical substances are an important entity class in life science publications and patents …
chemical substances are an important entity class in life science publications and patents …
Towards subject independent continuous sign language recognition: A segment and merge approach
WW Kong, S Ranganath - Pattern Recognition, 2014 - Elsevier
This paper presents a segment-based probabilistic approach to robustly recognize
continuous sign language sentences. The recognition strategy is based on a two-layer …
continuous sign language sentences. The recognition strategy is based on a two-layer …
A survey of automatic Arabic diacritization techniques
AM Azmi, RS Almajed - Natural Language Engineering, 2015 - cambridge.org
In Modern Standard Arabic texts are typically written without diacritical markings. The
diacritics are important to clarify the sense and meaning of words. Lack of these markings …
diacritics are important to clarify the sense and meaning of words. Lack of these markings …