Song, Yucheng Chen, Huaiyi Song, Xiaomeng Liao, Zhifang Zhang, Yan
Published in
Biomedical Signal Processing and Control
The modern urban population features a high population density and a fast population flow, and COVID-19 has strong transmission ability, long incubation period, and other characteristics. Considering only the time sequence of COVID-19 transmission cannot effectively respond to the current epidemic transmission situation. The distance between cities...
Machidon, Octavian Asprov, Jani Fajfar, Tine Pejović, Veljko
Published in
Multimedia tools and applications
While the evolution of mobile computing is experiencing considerable growth, it is at the same time seriously threatened by the limitations of battery technology, which does not keep pace with the evergrowing increase in energy requirements of mobile applications. Yet, with the limits of human perception and the diversity of requirements that indiv...
Goel, Akash Goel, Amit Kumar Kumar, Adesh
Published in
Spatial Information Research
In this age of the fourth industrial revolution 4.0, the digital world has a plethora of data, including the internet of things, mobile, cybersecurity, social media, forecasts, health data, and so on. The expertise of machine learning and artificial intelligence (AI) is required to soundly evaluate the data and develop related smart and automated a...
Yuan, Feiniu Zhu, Yaowen Li, Kang Fang, Zhijun Shi, Jinting
Published in
Machine Vision and Applications
Recent studies witness that combining contextual and spatial information significantly improves the performance of segmentation networks. Existing methods differ from each other mainly in the way of extracting contextual and spatial information. To comprehensively utilize spatial details from shallow layers, semantic information of deeper layers, a...
Militello, C Rundo, L Dimarco, M Orlando, A Conti, V Woitek, R D'Angelo, I Bartolotta, TV Russo, G
Multiparametric Magnetic Resonance Imaging (MRI) is the most sensitive imaging modality for breast cancer detection and is increasingly playing a key role in lesion characterization. In this context, accurate and reliable quantification of the shape and extent of breast cancer is crucial in clinical research environments. Since conventional lesion ...
Datta, Surabhi Roberts, Kirk
Published in
International journal of medical informatics
Radiology reports contain important clinical information that can be used to automatically construct fine-grained labels for applications requiring deep phenotyping. We propose a two-turn question answering (QA) method based on a transformer language model, BERT, for extracting detailed spatial information from radiology reports. We aim to demonstr...
Bainbridge, Wilma A Pounder, Zoë Eardley, Alison F Baker, Chris I
Published in
Cortex; a journal devoted to the study of the nervous system and behavior
Congenital aphantasia is a recently characterized variation of experience defined by the inability to form voluntary visual imagery, in individuals who are otherwise high performing. Because of this specific deficit to visual imagery, individuals with aphantasia serve as an ideal group for probing the nature of representations in visual memory, par...
Marin, Alina Cristina Schaefer, Andreas T Ackels, Tobias
Published in
Cell and Tissue Research
The sense of smell is an essential modality for many species, in particular nocturnal and crepuscular mammals, to gather information about their environment. Olfactory cues provide information over a large range of distances, allowing behaviours ranging from simple detection and recognition of objects, to tracking trails and navigating using odour ...
Liang, Zhiwei Wang, Chengzhi
Published in
Journal of Intelligent & Robotic Systems
A novel monocular visual simultaneous localization and mapping (SLAM) algorithm built on the semi-direct method is proposed to deal with some problems in complex environments, such as low-texture, moving objects and perceptual aliasing. The proposed algorithm takes advantage of direct and feature-based methods. On one hand, a direct method is used ...
Shinkuma, Ryoichi Nishio, Takayuki Inagaki, Yuichi Oki, Eiji
A new framework of data assessment and prioritization for real-time prediction of spatial information is presented. The real-time prediction of spatial information is promising for next-generation mobile networks. Recent developments in machine learning technology have enabled prediction of spatial information, which will be quite useful for smart ...
