Results 71 to 80 of about 5,349,509 (291)

Flexible Printed Circuit Fracture Detection Based on Hypothesis Testing Strategy

IEEE Access, 2020
A detection algorithm based on hypothesis testing strategy is presented for the detection of the fracture of FPC track. First, the sandwiched region between any two break points of the track skeleton is hypothesized as the alternative fracture to wait ...
Dejian Li, Shaoli Li, Weiqi Yuan
doaj   +1 more source

Collision Detection and Avoidance for Underwater Vehicles Using Omnidirectional Vision

Sensors, 2022
Exploration of marine habitats is one of the key pillars of underwater science, which often involves collecting images at close range. As acquiring imagery close to the seabed involves multiple hazards, the safety of underwater vehicles, such as remotely
Eduardo Ochoa, Nuno Gracias, Klemen Istenič, Josep Bosch, Patryk Cieślak, Rafael García   +5 more
doaj   +1 more source

Computer vision in smart agriculture and precision farming: Techniques and applications

Artificial Intelligence in Agriculture
The transformation of age-old farming practices through the integration of digitization and automation has sparked a revolution in agriculture that is driven by cutting-edge computer vision and arti fi cial intelligence (AI) technologies.
Sumaira Ghazal, Arslan Munir, W. S. Qureshi   +2 more
semanticscholar   +1 more source

Dapagliflozin prevents methylglyoxal‐induced retinal cell death in ARPE‐19 cells

FEBS Open Bio, EarlyView.
Diabetic macular oedema is a diabetes complication of the eye, which may lead to permanent blindness. ARPE‐19 are human retinal cells used to study retinal diseases and potential therapeutics. Methylglyoxal is a compound increased in uncontrolled diabetes due to elevated blood glucose.
Naina Trivedi, Zainab Quraishi, Shima Khezri Azizi Far, Madaleine Ward, Aidan Conway, Reem Abdulredha, Eman Mshari, Yousif A. Shamsaldeen   +7 more
wiley   +1 more source

An active reconstruction algorithm based on partial prior information

International Journal of Advanced Robotic Systems, 2020
Active reconstruction is an intelligent perception method that achieves object modeling with few views and short motion paths by systematically adjusting the parameters of the camera while ensuring model integrity.
Yanzi Kong, Feng Zhu, Yingming Hao, Haibo Sun, Yilin Xie, Zhiyuan Lin   +5 more
doaj   +1 more source

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Italian National Conference on Sensors, 2021
Convolutional neural network (CNN)-based computer vision systems have been increasingly applied in animal farming to improve animal management, but current knowledge, practices, limitations, and solutions of the applications remain to be expanded and ...
Guoming Li, Yanbo Huang, Zhiqian Chen, G. D. Chesser, J. Purswell, J. Linhoss, Yang Zhao   +6 more
semanticscholar   +1 more source

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon, Nathalie Picard, Valeria d'Andrea, Enchi Chang, Joseph Leffler, Eleonora Centofante, Matthew Taylor, Francesca Bardi, Francesca Cavicchiolo, Takao K. Hensch, Stefano Panzeri, Chinfei Chen, Michela Fagiolini   +12 more
wiley   +1 more source

Diabetic retinopathy screening using machine learning: a systematic review

BMC Biomedical Engineering
Diabetic retinopathy (DR) stands as a leading cause of global blindness. Early identification and prompt treatment are crucial in preventing vision impairment caused by diabetic retinopathy (DR).
Fitsum Mesfin Dejene, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano, Degaga Wolde Feyisa   +4 more
doaj   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz, Josefine Eck, Joel S. Winston, Kate Baker   +3 more
wiley   +1 more source