Search Results - Attention based Involution Autoencoder

AACNet: attention aided CNN-autoencoder network for precise categorization of respiratory conditions from HRCT scans.

Authors: Kakati, Anchita Bhattacharjya, Upasana Medhi, Jyoti Prakash et al.

Source: Network Modeling & Analysis in Health Informatics & Bioinformatics; 8/20/2025, Vol. 14 Issue 1, p1-29, 29p

A Novel Involution-Based Lightweight Network for Fabric Defect Detection.

Authors: Ke, Zhenxia Yu, Lingjie Zhi, Chao et al.

Source: Information; May2025, Vol. 16 Issue 5, p340, 17p

Subject Terms: CONVOLUTIONAL neural networks, DEEP learning, CONVOLUTION codes, TEXTILES

Mixture autoregressive and spectral attention network for multispectral image compression based on variational autoencoder.

Authors: Kong, Fanqiang Ren, Guanglong Hu, Yunfang et al.

Source: Visual Computer; Sep2024, Vol. 40 Issue 9, p6295-6318, 24p

Subject Terms: MULTISPECTRAL imaging, IMAGE compression, FEATURE extraction, MIXTURES

Spatial-Frequency-Scale Variational Autoencoder for Enhanced Flow Diagnostics of Schlieren Data.

Authors: Yang, Ronghua Wu, Hao Yang, Rongfei et al.

Source: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6233, 29p

Subject Terms: FLUID dynamics, AUTOENCODERS, FLOW visualization, FOURIER transforms, DEEP learning, FEATURE extraction, FORECASTING

A Scoping Review of AI-Based Approaches for Detecting Autism Traits Using Voice and Behavioral Data.

Authors: Rakotomanana, Hajarimino Rouhafzay, Ghazal

Source: Bioengineering (Basel); Nov2025, Vol. 12 Issue 11, p1136, 39p

Subject Terms: AUTISM spectrum disorders, ARTIFICIAL intelligence, DIAGNOSTIC services, VOICE analysis, BEHAVIORAL assessment, DEEP learning, MACHINE learning

基于 SE 注意力机制与互信息量的解纠缠 跨语种语音转换. (Chinese)

Alternate Title: SE Attention Mechanism and Mutual Information-Based Representation Disentanglement for Cross-Lingual Voice Conversion. (English)

Authors: 李燕萍 谭誌诚 胡澄阳 et al.

Source: Journal of Signal Processing; Jan2025, Vol. 41 Issue 1, p183-192, 10p

A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification.

Authors: Wang, Lilu Li, Yongqi Liu, Haiyuan et al.

Source: Sensors (14248220); Jul2025, Vol. 25 Issue 13, p4224, 28p

Subject Terms: REMAINING useful life, TRANSFORMER models, FEATURE extraction, CONDITION-based maintenance, FEATURE selection

A Generative Model-Based Network Framework for Ecological Data Reconstruction.

Authors: Liu, Shuqiao Zhang, Zhao Zhou, Hongyan et al.

Source: Computers, Materials & Continua; 2025, Vol. 82 Issue 1, p929-948, 20p

Subject Terms: CONVOLUTIONAL neural networks, GENERATIVE adversarial networks, ARTIFICIAL intelligence, SWOT analysis, AUTOENCODERS, PROBABILISTIC generative models

ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology.

Authors: Mumenin, Nasirul Yousuf, Mohammad Abu Nashiry, Md Asif et al.

Source: IET Computer Vision (Wiley-Blackwell); Aug2024, Vol. 18 Issue 5, p666-681, 16p

Subject Terms: CONVOLUTIONAL neural networks, IMAGE recognition (Computer vision), AUTISM spectrum disorders, EYE tracking, ARCHITECTURAL design

ACNet: An Attention–Convolution Collaborative Semantic Segmentation Network on Sensor-Derived Datasets for Autonomous Driving.

Authors: Zhang, Qiliang Hua, Kaiwen Zhang, Zi et al.

Source: Sensors (14248220); Aug2025, Vol. 25 Issue 15, p4776, 34p

Subject Terms: AUTONOMOUS vehicles, IMAGE segmentation, MACHINE learning, DETECTORS, VISUAL perception, RECEPTIVE fields (Neurology)

Towards efficient glaucoma screening with modular convolution-involution cascade architecture.

Authors: Mouhafid, Mohamed Zhou, Yatong Shan, Chunyan et al.

Source: PeerJ Computer Science; Apr2025, p1-29, 29p

Subject Terms: GLAUCOMA, CONVOLUTIONAL neural networks, RETINAL imaging, IMAGE analysis, DIAGNOSIS, COMPUTER-aided diagnosis

Advances in machine and deep learning for ECG beat classification: a systematic review.

Authors: Jaya Prakash, Allam Nasreddine Belkacem, Abdelkader Elfadel, Ibrahim M. et al.

Source: Frontiers in Digital Health; 2025, p1-33, 33p

Subject Terms: MEDICAL technology, RESEARCH funding, PROFESSIONAL practice, LABOR productivity, ARTIFICIAL intelligence, SIGNAL processing, CONVOLUTIONAL neural networks, ELECTROCARDIOGRAPHY, SYSTEMATIC reviews, MEDLINE, HEART beat, ARRHYTHMIA, DEEP learning, CARDIOVASCULAR disease diagnosis, MACHINE learning, ONLINE information services, SENSITIVITY & specificity (Statistics)

Deep learning for land use classification: a systematic review of HS-LiDAR imagery.

Authors: Rehman, Muhammad Zia Ur Islam, Syed Mohammed Shamsul Blake, David et al.

Source: Artificial Intelligence Review; Sep2025, Vol. 58 Issue 9, p1-43, 43p

GEA-MSNet: A Novel Model for Segmenting Remote Sensing Images of Lakes Based on the Global Efficient Attention Module and Multi-Scale Feature Extraction.

Authors: Li, Qiyan Weng, Zhi Zheng, Zhiqiang et al.

Source: Applied Sciences (2076-3417); Mar2024, Vol. 14 Issue 5, p2144, 18p

Subject Terms: BODIES of water, FEATURE extraction, IMAGE segmentation, LAKES, COMPUTER vision, BIOTIC communities, REMOTE sensing, CELLULAR inclusions, REMOTE-sensing images

Geographic Terms: TIBETAN Plateau

Accurate entropy modeling in learned image compression with joint enchanced SwinT and CNN.

Authors: Yang, Dongjian Fan, Xiaopeng Meng, Xiandong et al.

Source: Multimedia Systems; Aug2024, Vol. 30 Issue 4, p1-15, 15p

Metal Defect Detection Models Fused EfficientNet and Involution.

Authors: Wang, Peng Li, Shixin Wang, Weixiao et al.

Source: Journal of Sensors; 12/19/2024, Vol. 2024, p1-11, 11p

Subject Terms: METAL defects, METAL detectors, METALLIC surfaces, SPINE, NECK

Augmenting Aquaculture Efficiency through Involutional Neural Networks and Self-Attention for Oplegnathus Punctatus Feeding Intensity Classification from Log Mel Spectrograms.

Authors: Iqbal, Usama Li, Daoliang Du, Zhuangzhuang et al.

Source: Animals (2076-2615); Jun2024, Vol. 14 Issue 11, p1690, 22p

Subject Terms: DEEP learning, AQUACULTURE, DISCRETE wavelet transforms, MARINE resource management, ECOSYSTEM management, FISH farming

Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles.

Authors: Alrayes, Fatma S. Ahmad, Nazir Alshuhail, Asma et al.

Source: Scientific Reports; 8/2/2025, Vol. 15 Issue 1, p1-26, 26p

Subject Terms: MACHINE learning, COMPUTER vision, OBJECT recognition (Computer vision), DRONE aircraft, DEEP learning, AUTOMATIC tracking, AUTOMATIC target recognition

Remaining Life Prediction Modeling Method for Rotating Components of Complex Intelligent Equipment.

Authors: Deng, Yaohua Zhang, Zilin Huang, Hao et al.

Source: Electronics (2079-9292); Jan2025, Vol. 14 Issue 1, p136, 23p

Subject Terms: LONG short-term memory, REMAINING useful life, DEEP learning, DATA distribution, WORK environment

Enhanced Detection of Algal Leaf Spot, Tea Brown Blight, and Tea Grey Blight Diseases Using YOLOv5 Bi-HIC Model with Instance and Context Information.

Authors: Phan, Quoc-Hung Setyawan, Bryan Duong, The-Phong et al.

Source: Plants (2223-7747); Oct2025, Vol. 14 Issue 20, p3219, 15p

Subject Terms: TEA, BLIGHT diseases (Botany), LEAF diseases & pests, EARLY diagnosis, LEAF spots, CONVOLUTIONAL neural networks