Results 51 to 60 of about 22,365 (196)
CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng +5 more
wiley +1 more source
Cladistics, EarlyView.Abstract Automated insect identification systems hold significant value for biodiversity monitoring, pest management, citizen science initiatives and systematic studies, particularly in an era of declining expertise in insect taxonomy. However, current deep learning approaches often rely on standardized specimen photos from limited‐angles and ...
Xinkai Wang +10 more
wiley +1 more source
Remote SensingInfrared video imaging is an cornerstone technology for environmental perception, particularly in drone-based remote sensing applications such as disaster assessment and infrastructure inspection.
Xuanyu Qian +6 more
doaj +1 more source
VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection
, 2019 Although traffic sign detection has been studied for years and great progress has been made with the rise of deep learning technique, there are still many problems remaining to be addressed.
IEEE +8 more
core +1 more source
Pendeteksian Lubang Pada Jalanan Menggunakan Metode SSD-MobileNet
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), 2021 The rapid advancement of technology following the number of potholes on the streets that need to be inspected have led people to develop technology that can inspect pothole using a detection system. Digital image processing is a method used by some people to detect potholes by using its colour as the main extracted feature, after that the field of ...
Pakpahan, Ivan Besando, Dewi, Ika Candra
openaire +2 more sources
International Endodontic Journal, EarlyView.ABSTRACT Aim Artificial intelligence (AI) has the potential to aid clinicians in assessing case difficulty in endodontics. The objectives of this study were to develop and validate deep learning models for the detection of clinically negotiable MB2 canals in periapical images of maxillary first and second molars, and to compare the performance of AI ...
Seyed AmirHossein Ourang +8 more
wiley +1 more source
Journal of Applied Informatics and ComputingConvolutional Neural Networks (CNN) are recognized for their high accuracy in image classification, but large-scale datasets and significant computer resources are needed to train them from scratch, though.
Habi Jiyan Mustaqim, Ozzi Suria
doaj +1 more source
Artificial Intelligence in Periodontology: A Systematic Review
Journal of Periodontal Research, EarlyView.AI shows promise across periodontology, with deep learning achieving strong performance for image‐based diagnosis of periodontitis. However, limited data diversity, inconsistent metrics, and scarce external validation raise concerns about generalizability and clinical applicability.
Antonin Tichy +7 more
wiley +1 more source
Batik Recognition and Classification Using Transfer Learning and MobileNet Approach
JOIV: International Journal on Informatics VisualizationIn the vibrant tapestry of Indonesian culture, Batik motifs stand out as a testament to its enduring artistic heritage. Yet, adapting these intricate patterns, particularly the mesmerizing "insang" featuring fish-like forms, presents a unique challenge ...
Helen Sastypratiwi +2 more
doaj +1 more source