Results 81 to 90 of about 15,271 (229)

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source

Multi‐angle, cross‐domain fusion strategy enhances automated insect identification and hierarchical categorization: a case study on assassin bugs (Hemiptera: Reduviidae)

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, Huaiyu Liu, Zhuo Chen, Yisheng Zhao, Yingqi Liu, Haoyang Xiong, Yuange Duan, Fang Song, Wanzhi Cai, Xuankun Li, Hu Li   +10 more
wiley   +1 more source

PVTv2: Improved Baselines with Pyramid Vision Transformer

, 2021
Transformer recently has shown encouraging progresses in computer vision. In this work, we present new baselines by improving the original Pyramid Vision Transformer (abbreviated as PVTv1) by adding three designs, including (1) overlapping patch ...
Fan, Deng-Ping, Li, Xiang, Liang, Ding, Lu, Tong, Luo, Ping, Shao, Ling, Song, Kaitao, Wang, Wenhai, Xie, Enze   +8 more
core   +1 more source

An Angler‐Friendly AI Pipeline for Self‐Reporting and Automatic Catch Analysis in Recreational Fisheries

Fish and Fisheries, EarlyView.
ABSTRACT Monitoring recreational fisheries is difficult: anglers are widely dispersed, gear and practices vary, and many species are involved, which leads to fragmented and scarce data. To address these issues, we developed an Artificial Intelligence (AI) pipeline that turns angler‐reported photos into standardised records of catch composition and ...
Marco Signaroli, Bernat Morro, Eugenio Cutolo, Ignacio A. Catalán, Inmaculada Riera, Antoni Mira, Clara Mecinas, Antoni M. Grau, Yolanda Gonzalez‐Cid, Josep Alós   +9 more
wiley   +1 more source

Leadership for innovation – why manufacturing has a future in Australia [PDF]

In this paper, business leaders discuss the leadership styles they have used to ensure their companies are manufacturing success stories, and then these experiences are analysed to outline the leadership needs for innovation in Australia.
Richard Simpson, Robert Wilson, Scott Thomson-Whiteside   +2 more
core  

Application of Noise2Inverse and adaptation (Noise2Phase) to single‐mask x‐ray phase contrast micro‐computed tomography

Journal of Microscopy, EarlyView.
Abstract X‐ray phase contrast imaging (XPCI), when implemented in micro‐computed tomography (micro‐CT) mode, offers high‐contrast 3D imaging of weakly‐attenuating material samples. In the so‐called single‐mask edge illumination approach, a mask with periodically spaced transmitting apertures is used to split the x‐ray beam into narrow beamlets; when ...
Khushal Shah, Grammatiki Lioliou, Dai Chen, Alexander Denker, Peter Munro, Marco Endrizzi, Alberto Astolfo, Alessandro Olivo, Charlotte K. Hagen   +8 more
wiley   +1 more source

Frequency Domain and Gradient-Spatial Multi-Scale Swin KANsformer for Remote Sensing Scene Classification

Remote Sensing
Transformer-based deep learning techniques have recently shown outstanding potential in remote sensing scene classification (RSSC), benefiting from their ability to capture global semantic relationships and contextual dependencies.
Xiaozhang Zhu, Junqing Huang, Haihui Wang   +2 more
doaj   +1 more source

Efficacy of Automatic 3D Segmentation of the Upper Airway in CBCT or CT Scans via Artificial Intelligence Versus Manual Segmentation by Human Experts: A Systematic Review and Meta‐Analysis

Clinical and Experimental Dental Research, Volume 12, Issue 2, April 2026.
ABSTRACT Objectives 3D segmentation of the upper airway is crucial for dental and medical practices. However, it is a difficult and daunting task. Like almost all other areas, AI can theoretically help in airway segmentation. Nevertheless, AI's efficacy remains unknown. This meta‐analysis investigated this matter for the first time.
Farhad Sobouti, Mehdi Aryana, Hossein Mohammad‐Rahimi, Sepideh Dadgar, Reza Alizadeh‐Navaei, Vahid Rakhshan   +5 more
wiley   +1 more source

Precipitation Nowcasting With Spatial And Temporal Transfer Learning Using Swin-UNETR

, 2023
Climate change has led to an increase in frequency of extreme weather events. Early warning systems can prevent disasters and loss of life. Managing such events remain a challenge for both public and private institutions.
Kumar, Ajitabh
core  

From channel‐spatial attention to state space models: A review of evolving mechanisms in tumour segmentation

Clinical and Translational Discovery, Volume 6, Issue 2, April 2026.
This review summarises the evolution of attention mechanisms for tumour segmentation—from pre‐Transformer modules to Transformer self‐attention and emerging Mamba‐based state space models—highlighting their roles in feature enhancement, long‐range dependency modelling, and their potential to advance next‐generation intelligent segmentation in clinical ...
Yanfei Sun, Junyu Wang, Rui Yin
wiley   +1 more source