Results 81 to 90 of about 9,658 (219)

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Objective detection and scene understanding based on deep learning

, 2022
Machine vision plays a more and more important role in the industrial and medical market. In order to promote the progress of human society, it is necessary to deeply study artificial intelligence and deep network. In some important applications, such as
Li, Zeyin
core  

Bio‐inspired vision: From principle, material architectures to system‐level integration

FlexMat, EarlyView.
This review introduces the development and mechanism of electronic and ionic bio‐inspired vision devices respectively. Then, it explores the impact of structure on bio‐inspired visual performance from the scale of intrinsic materials and device. Finally, it concludes that only by combining advanced software and technology can more complex vision ...
Zewan Lin, Miaoyi Xu, Xianda Ma, Weifeng Yang, Yuanlong Shao   +4 more
wiley   +1 more source

Looking at Soil as It Is: Evolution of Microscopic Soil Characterization From Kubiëna to Artificial Intelligence

Journal of Plant Nutrition and Soil Science, EarlyView.
We provide a historic overview of microscopic soil structure characterization from its founding father, Walter Kubiëna, to several technical revolutions like automation, digitalization, and artificial intelligence. In addition to technical advancements, we explore how concepts and research questions have evolved in time.
Steffen Schlüter, Maik Geers‐Lucas, Peter Kühn, Hans‐Jörg Vogel   +3 more
wiley   +1 more source

Dynamic and Objective Quantification of Facial Nerve Palsy Using Smartphone‐Based 3D Facial Geometry

The Laryngoscope, EarlyView.
This prospective study evaluated smartphone‐captured high‐resolution 3D facial geometry in 99 patients with unilateral facial nerve palsy across 207 visits and 12 healthy volunteers. Dynamic motion features combined with machine learning accurately estimated signed continuous House–Brackmann severity and identified clinically significant palsy ...
Koki Hasebe, Tsuyoshi Kojima, Shintaro Fujimura, Kuniaki Takata, Shuya Otsuki, Ryohei Yuki, Yusuke Okanoue, Harukazu Hiraumi, Ryusuke Hori, Koichi Omori   +9 more
wiley   +1 more source

MusselFinder: Automated dreissenid mussel density estimation via robotic benthic imaging

Limnology and Oceanography: Methods, EarlyView.
Abstract Despite the widespread need to map the abundance of invasive quagga and zebra mussels (Dreissena spp.) in lakes and reservoirs worldwide, current methods remain limited by data collection and analysis bottlenecks. Autonomous underwater vehicles (AUVs) combined with machine learning (ML) offer a scalable remote sensing approach for estimating ...
Angus Galloway, Peter C. Esselman, Anthony Geglio, Shadi Moradi, Jennifer M. Morris, Joseph Geisz, Magdalena K. Sobol, Graham W. Taylor   +7 more
wiley   +1 more source

Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities

, 2017
The paper discusses autocalibration, object detection, and object tracking for unmanned surface vehicles. Input data are recorded with a wide-baseline stereo vision system providing accuracy for distance estimations. The paper reports about followed ways
Wei Mou, Shin, Bok-Suk, Mou, Wei, Xiaozheng Mou, Mou, Xiaozheng, Bok-Suk Shin, Han Wang, Wang, Han   +7 more
core   +1 more source

Indoor 3D Scene Understanding Using Depth Sensors

, 2020
One of the main goals in computer vision is to achieve a human-like understanding of images. Nevertheless, image understanding has been mainly studied in the 2D image frame, so more information is needed to relate them to the 3D world. With the emergence
Lahoud, Jean
core   +1 more source

Transcending the Space‐Bandwidth and Lighting Trade‐Offs: A Programmable Self‐Mixing Interferometry Imager for Cross‐Scale Surface Inspection

Laser &Photonics Reviews, EarlyView.
This work reports a laser diode‐based self‐mixing interferometry imager featuring illumination‐invariance imaging, a 500 kHz pixel rate, and an 8.77 µm lateral resolution. It also features a programmable field‐of‐view and leading space‐bandwidth product that surpasses existing technologies by an order of magnitude, enabling cross‐scale workflow ...
Zhou Su, Feng Lin, Mubasher Ali, Yuanfu Tan, Wei‐Hsin Liao, Hay Wong   +5 more
wiley   +1 more source

A Dynamic Data Driven Approach for Explainable Scene Understanding

, 2022
Scene-understanding is an important topic in the area of Computer Vision, and illustrates computational challenges with applications to a wide range of domains including remote sensing, surveillance, smart agriculture, robotics, autonomous driving, and ...
Metaxas, Dimitris, Daniels, Zachary A
core