Results 71 to 80 of about 20,738 (194)
Monocular Vision-Based Underwater Object Detection
In this paper, we propose an underwater object detection method using monocular vision sensors. In addition to commonly used visual features such as color and intensity, we investigate the potential of underwater object detection using light transmission
Zhe Chen +4 more
doaj +1 more source
Children born very preterm with poorer ophthalmological function at 2 years 6 months, 6 years 6 months, and 12 years showed poorer visuo‐perceptual, visual‐motor, and fine motor skills at 12 years, emphasizing the role of visual input in visual‐motor development.
Martin Johansson +5 more
wiley +1 more source
An Adaptive Augmented Vision-Based Ellipsoidal SLAM for Indoor Environments
In this paper, the problem of Simultaneous Localization And Mapping (SLAM) is addressed via a novel augmented landmark vision-based ellipsoidal SLAM. The algorithm is implemented on a NAO humanoid robot and is tested in an indoor environment.
Elfituri S. Lahemer, Ahmad Rad
doaj +1 more source
Autonomous Frameless Spine Registration and Robot‐Assisted Surgery
Workflow of a contactless, frame‐free, robot‐assisted vertebra registration system. Preoperative CT data establish vertebra {V} and mask {Mpre} coordinate systems. Their relationship is computed, and intraoperatively the robot recognizes the skin‐affixed mask, defining {Mintra}.
Amit Kumar +4 more
wiley +1 more source
The Effect of Relevance on Children's Multiple Text Reading: Evidence From Eye Movements
ABSTRACT We examined how Finnish children read and integrate information across multiple expository texts when given an inquiry task. We were interested in how task‐relevance of text information affects readers' eye movements and whether the eye movements are connected to the quality of an essay written after reading.
Tuomo Häikiö +4 more
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Transformer‐Based Contextual Modeling for Predicting Calories From Recipes
A transformer‐based regression model with token‐level attention pooling is proposed for predicting calorie content directly from unstructured recipe text. By fine‐tuning RoBERTa in an end‐to‐end manner, attention is learned to be focused on calorie‐relevant tokens such as ingredients, fats, and cooking methods.
Md. Siam Ansary, Amina Brinto
wiley +1 more source
Efficient trajectory and path planning (TPP) is essential for unmanned aircraft systems (UASs) autonomy in challenging environments. Despite the scale ambiguity inherent in monocular vision, characteristics like compact size make a monocular camera ideal
Yongzhou Pan +6 more
doaj +1 more source
ABSTRACT Machine learning (ML) algorithms have been increasingly used to predict learning disability (LD) risk across various disciplines, but the effectiveness of different algorithms remains unclear. We summarize the literature on ML applications for the identification and classification of LDs using behavioral (e.g., phoneme manipulation and sound ...
Yusra Ahmed +4 more
wiley +1 more source
Ocular dominance-dependent binocular combination of monocular neuronal responses in macaque V1
Primates rely on two eyes to perceive depth, while maintaining stable vision when either one eye or both eyes are open. Although psychophysical and modeling studies have investigated how monocular signals are combined to form binocular vision, the ...
Sheng-Hui Zhang +4 more
doaj +1 more source

