Visual texture agnosia influences object identification in dementia with Lewy bodies and Alzheimer's disease
Sign Up to like & getrecommendations! Published in 2020 at "Cortex"
DOI: 10.1016/j.cortex.2020.04.008
Abstract: BACKGROUND Numerous studies have shown visuoperceptual/visuospatial deficits in dementia with Lewy bodies (DLB) and Alzheimer's disease (AD). Visual texture recognition is also impaired in patients with DLB and AD. Although patients with DLB often exhibit… read more here.
Keywords: object identification; recognition; patients dlb; texture ... See more keywords
Secure Cyber-Physical Object Identification in Industrial IoT-Systems
Sign Up to like & getrecommendations! Published in 2020 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2020.10.171
Abstract: Abstract Production systems equipped with industrial internet-of-things devices are on the rise allowing smart manufacturing within the trend of industry 4.0 by implementing decentralized decision making. The interconnected devices allow for high transparency in systems… read more here.
Keywords: physical object; object identification; identification industrial; cyber physical ... See more keywords
Scalable multi-dimensional topological deformation actuators for active object identification.
Sign Up to like & getrecommendations! Published in 2023 at "Materials horizons"
DOI: 10.1039/d2mh01567f
Abstract: Rarely are bionic robots capable of rapid multi-dimensional deformation and object identification in the same way as animals and plants. This study proposes a topological deformation actuator for bionic robots based on pre-expanded polyethylene and… read more here.
Keywords: dimensional topological; deformation; topological deformation; object identification ... See more keywords
BTS: a binary tree sampling strategy for object identification based on deep learning
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2021.1980883
Abstract: Object-based convolutional neural networks (OCNNs) have achieved great performance in the field of land-cover and land-use classification. Studies have suggested that the generation of object convo... read more here.
Keywords: bts binary; object identification; strategy object; binary tree ... See more keywords
A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3566223
Abstract: As the global population ages, the prevalence of dementia is expected to surge, necessitating innovative solutions to support the growing number of affected individuals. This research shows a innovative approach for the application of Convolutional… read more here.
Keywords: convolutional neural; novel high; object identification; performance ... See more keywords
Towards Effective Rotation Generalization in UAV Object Re-Identification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3544088
Abstract: UAV surveillance offers a unique aerial perspective, enabling the monitoring of large areas and capturing targets from angles that fixed ground cameras cannot achieve. UAV-based object re-identification (ReID) differs from the extensively studied city camera… read more here.
Keywords: rotation generalization; rotation; level; object identification ... See more keywords
Expanding and Refining Hybrid Compressors for Efficient Object Re-Identification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3410684
Abstract: Recent object re-identification (Re-ID) methods gain high efficiency via lightweight student models trained by knowledge distillation (KD). However, the huge architectural difference between lightweight students and heavy teachers causes students to have difficulties in receiving… read more here.
Keywords: student; object identification; hybrid compressors; refining hybrid ... See more keywords
Object identification using correlated radial momentum states and beyond.
Sign Up to like & getrecommendations! Published in 2025 at "Optics express"
DOI: 10.1364/oe.566372
Abstract: The joint orbital angular momentum (OAM) spectrum has been widely utilized for characterizing the azimuthal structure of objects, particularly those with rotational symmetry. However, its inherent insensitivity to radial features limits its applicability in more… read more here.
Keywords: recognition; object identification; momentum; radial momentum ... See more keywords
Artificial tactile and proprioceptive feedback improves performance and confidence on object identification tasks
Sign Up to like & getrecommendations! Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0207659
Abstract: Somatosensory feedback of the hand is essential for object identification. Without somatosensory feedback, individuals cannot reliably determine the size or compliance of an object. Electrical nerve stimulation can restore localized tactile and proprioceptive feedback with… read more here.
Keywords: confidence; tactile proprioceptive; object identification; feedback ... See more keywords
Can object identification difficulty be predicted based on disfluencies and eye-movements in connected speech?
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0281589
Abstract: In the current study, we asked whether delays in the earliest stages of picture naming elicit disfluency. To address this question, we used a network task, where participants describe the route taken by a marker… read more here.
Keywords: disfluency; difficulty predicted; object identification; eye ... See more keywords