Results 51 to 60 of about 4,886 (174)

Artificial intelligence for facial soft‐tissue landmark localization, measurement, and classification in orthodontics: A systematic review

European Journal of Oral Sciences, EarlyView.
Abstract This systematic review provides a broad overview of three distinct applications of artificial intelligence (AI) in facial soft‐tissue assessment: landmark localization, automated facial measurement, and classification of soft‐tissue conditions in orthodontic and dentofacial evaluation.
Hugo Henrique dos Santos Dantas Guimarães, Karla Nogueira Matos   +1 more
wiley   +1 more source

LDS‐UNet: Lightweight Depthwise Separable U‐Net for Brain Tumor Segmentation

Applied AI Letters, Volume 8, Issue 1, February 2027.
A hybrid Lightweight Depthwise Separable U‐Net (LDS‐UNet) is proposed, using depthwise separable convolutions in the encoder‐decoder, and standard bottleneck convolutions, and 2.5D three‐slice input to recover inter‐slice context without 3D convolutions.
Nasrin Akter, Rafia Nasrin Muntaha, Puja Dutta, Md. Khaliluzzaman   +3 more
wiley   +1 more source

Lightweight malicious domain name detection model based on separable convolution

网络与信息安全学报, 2020
The application of artificial intelligence in the detection of malicious domain names needs to consider both accuracy and calculation speed,which can make it closer to the actual application.Based on the above considerations,a lightweight malicious ...
Luhui YANG, Huiwen BAI, Guangjie LIU, Yuewei DAI   +3 more
doaj   +3 more sources

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

Lightweight Convolutional Neural Network Architecture for Mobile Platforms [PDF]

Jisuanji gongcheng, 2019
For the problem that the deep neural network has low accuracy and over-fitting on the mobile platforms,a lightweight Convolutional Neural Network(CNN) architecture is proposed.The 3×3 depthwise separable convolution replaces the standard 3× ...
HU Ting,ZHU Yongxin,TIAN Li,FENG Songlin,WANG Hui
doaj   +1 more source

AI‐Enabled Automated Schistocyte Classification in Peripheral Blood for TMA Auxiliary Diagnosis

International Journal of Laboratory Hematology, Volume 48, Issue 6, Page 1486-1493, December 2026.
ABSTRACT Background Schistocytes are critical morphological markers for thrombotic microangiopathy (TMA) diagnosis. Manual identification is hampered by inconsistent standards and high interobserver variability, compromising accuracy. Although AI has advanced in hematology, AI‐enabled schistocyte classification remains under‐studied, creating a ...
Lei Shang, Chao Fang, Dongshuo Li, Xuesong Wang, Jiani Yu, Yunchu Cui, Jingliang Chen, Xuekai Liu   +7 more
wiley   +1 more source

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

Advanced Science, Volume 13, Issue 56, 9 October 2026.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li, Wei Zhang, Xi Zhu, Yuqian Chen, Nir A. Sochen, Jarrett Rushmore, Carl‐Fredrik Westin, Yogesh Rathi, Lauren J. O'Donnell, Ofer Pasternak, Fan Zhang   +10 more
wiley   +1 more source

A Self‐Supervised Approach for Hainan Gibbon Call Separation in Passive Acoustic Monitoring

Ecology and Evolution, Volume 16, Issue 10, October 2026.
The automated analysis of PAM recordings for the critically endangered Hainan gibbon (Nomascus hainanus) remains significantly challenging due to complex ambient noise and the scarcity of clean annotated datasets. We proposed MC‐RemixIT, a self‐supervised approach tailored for complex environments, designed to effectively separate Hainan gibbon calls ...
Jiali Zi, Nuo Xu, Yanqi Dong, Yi Xia, Weilin Wang, Feixiang Chen   +5 more
wiley   +1 more source

TDSCCNet: twin-depthwise separable convolution connect network for change detection with heterogeneous images

Geocarto International
The task of change detection (CD) in optical and SAR images is an ever-evolving and demanding subject within the realm of remote sensing (RS). It holds great significance to identify the target areas by using complementary information between the two ...
Min Wang, Liang Huang, Bo-Hui Tang, Weipeng Le, Qiuyuan Tian   +4 more
doaj   +1 more source

Exploring Underwater Target Detection Algorithm Based on Improved SSD

Xibei Gongye Daxue Xuebao, 2020
As the in-depth exploration of oceans continues, the accurate and rapid detection of fish, bionics and other intelligent bodies in an underwater environment is more and more important for improving an underwater defense system.

doaj   +1 more source