Results 101 to 110 of about 58,990 (298)

SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning [PDF]

, 2020
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè, Sebastiano Battiato, Giovanni Maria Farinella   +4 more
openalex   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Semantic segmentation of substation tools using an improved ICNet network

Electronic Research Archive
In the field of substation operation and maintenance, real-time detection and precise segmentation of tools play an important role in maintaining the safe operation of the power grid and guiding operators to work safely.
Guozhong Liu, Qiongping Tang, Changnian Lin, An Xu, Chonglong Lin, Hao Meng, Mengyu Ruan, Wei Jin   +7 more
doaj   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

A Spatial and Semantic Alignment Fusion Network for SeaLand Port Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
To address the issues of complex backgrounds and poor segmentation performance for small ship objects in sea–land port areas, we propose a sea–land port segmentation algorithm based on spatial and semantic alignment fusion.
Bo Zhang, Yaxiong Chen, Weichong Dang, Shengwu Xiong, Xiaoqiang Lu   +4 more
doaj   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

A Decoupled Segmentation-Classification Strategy Based on Semantic-SAM for Precise Semantic Segmentation in Coal Mine Areas

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
To address complex semantic segmentation in coal mine areas, this study proposes the SAM-SEF (SAM-based Semantic Enhancement Framework). It integrates Semantic-SAM’s zero-shot segmentation capability with specialized deep learning models through a
Libing Wang, Jihong Dong, Lei Wang, Feng Liu, Qingke Wen, Bekir Genc   +5 more
doaj   +1 more source

DefectNet – A Deep Convolutional Neural Network for Semantic Segmentation of Crystallographic Defects in Advanced Microscopy Images [PDF]

, 2019
Graham Roberts, Rajat Sainju, Brian Hutchinson, Mychailo B. Toloczko, Danny J. Edwards, Yuanyuan Zhu   +5 more
openalex   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction

EURASIP Journal on Advances in Signal Processing, 2004
The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on a priori assumptions, whereas region segmentation is data-driven and can be solved in an ...
Ebrahimi Touradj, Cavallaro Andrea
doaj   +1 more source