Search Results - (("Deep encoder–decoder architecture") OR ("Deep encoder–design architecture"))*

Two-stream deep encoder-decoder architecture for fully automatic video object segmentation

Authors: Jingwei Xu Li Song Rong Xie

Source: 2017 IEEE Visual Communications and Image Processing (VCIP).

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 14. Life underwater

Access URL: https://dblp.uni-trier.de/db/conf/vcip/vcip2017.html#XuSX17
https://doi.org/10.1109/VCIP.2017.8305089

Opinion-unaware blind picture quality measurement using deep encoder–decoder architecture

Authors: Ting Luo Xi Zhou Jingsheng Lei et al.

Source: Digital Signal Processing. 107:102834

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.sciencedirect.com/science/article/abs/pii/S1051200420301792
https://dblp.uni-trier.de/db/journals/dsp/dsp107.html#ZhouLZLYL20

Advancement in semantic segmentation techniques: a comprehensive review for semantic segmentation of colorectal polyps using deep learning.

Authors: Manan, Malik Abdul Feng, Jinchao Ahmed, Shahzad

Source: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-92, 92p

Micro-Computed Tomography Non-Destructive Testing and Defect Quantitative Analysis of Carbon Fiber-Reinforced Polymer, Glass Fiber-Reinforced Polymer and Carbon/Glass Hybrid Laminates Using Deep Learning Recognition.

Authors: Wang, Mingmeng Zhang, Bo Zhan, Shiyu et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12192, 22p

Subject Terms: NONDESTRUCTIVE testing, CARBON fiber-reinforced plastics, LAMINATED materials, POROSITY, X-ray computed microtomography, DEEP learning, GLASS-reinforced plastics, IMPERFECTION

Real-time jute leaf disease classification using an explainable lightweight CNN via a supervised and semi-supervised self-training approach.

Authors: Jannat, Meftahul Uddin, Md Shahab Hasan, Mohammad Asif et al.

Source: Frontiers in Plant Science; 2025, p1-24, 24p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, REAL-time computing, SUPERVISED learning, AGRICULTURAL technology, PLANT diseases, ARTIFICIAL intelligence

A music source separation method integrating time–frequency decoupling and mamba-based state space modeling.

Authors: Zhang, Chongbin Zheng, Jiaxiang Cao, Moxi

Source: Scientific Reports; 10/16/2025, Vol. 15 Issue 1, p1-23, 23p

Subject Terms: STATE-space methods, TIME-frequency analysis, AUDITORY perception, TIME, STATISTICAL models, AUDITORY scene analysis

Coconut Disease Prediction Using Neural Attention Mechanism With Adamax Optimizer Based Convolutional Neural Network.

Authors: S. J., Niranjan M. L., Raviprakash B. V., Balaji Prabhu et al.

Source: International Journal of Environmental Sciences (2229-7359); 2025, Vol. 11 Issue 5, p2352-2360, 9p

Subject Terms: CONVOLUTIONAL neural networks, PLANT diseases, IMAGE segmentation, OPTIMIZERS (Computer software), MACHINE learning, AGRICULTURAL forecasts, DATA augmentation

Semantic Learning for Molecular Communication in Internet of Bio-Nano Things

Authors: Cai, Hanlin Akan, Ozgur B.

Index Terms: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Emerging Technologies, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2502.08426

Hourglass 3D CNN for Stereo Disparity Estimation for Mobile Robots.

Authors: La, Thai Tao, Linh Minh Tran, Chanh et al.

Source: Applied Sciences (2076-3417); Oct2023, Vol. 13 Issue 19, p10677, 11p

Subject Terms: CONVOLUTIONAL neural networks, MOBILE robots, STEREOSCOPIC cameras, FEATURE extraction, CONTEXTUAL learning

Image Caption Generation for the Visually Impaired Using Deep Learning

Authors: Ritul Adhav

Source: International Journal for Research in Applied Science and Engineering Technology. 13:950-955

Federated learning-based multimodal approach for early detection and personalized care in cardiac disease.

Authors: Alasmari, Sultan AlGhamdi, Rayed Tejani, Ghanshyam G. et al.

Source: Frontiers in Physiology; 2025, p1-27, 27p

Subject Terms: ARTIFICIAL neural networks, FEDERATED learning, DATA privacy, DATABASES, NOSOLOGY

Unmanned Surface Vessels in Marine Surveillance and Management: Advances in Communication, Navigation, Control, and Data-Driven Research.

Authors: Lv, Zhichao Wang, Xiangyu Wang, Gang et al.

Source: Journal of Marine Science & Engineering; May2025, Vol. 13 Issue 5, p969, 34p

Subject Terms: MULTISENSOR data fusion, ADAPTIVE control systems, OPTICAL communications, FAULT tolerance (Engineering), TELECOMMUNICATION systems

A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects.

Authors: Yan, Xiongfeng Yang, Min

Source: ISPRS International Journal of Geo-Information; Oct2022, Vol. 11 Issue 10, p527-N.PAG, 14p

Subject Terms: DEEP learning, ENCODING, INSPECTION & review, GRAPH algorithms, FOURIER transforms, COMPARATIVE studies, DECODING algorithms

Advancing Diabetic Foot Ulcer Care: AI and Generative AI Approaches for Classification, Prediction, Segmentation, and Detection.

Authors: Alkhalefah, Suhaylah AlTuraiki, Isra Altwaijry, Najwa

Source: Healthcare (2227-9032); Mar2025, Vol. 13 Issue 6, p648, 28p

Subject Terms: TREATMENT of diabetic foot, GENERATIVE artificial intelligence, RISK assessment, MOBILE apps, SMARTPHONES, COST effectiveness, RESEARCH funding, SYSTEMATIC reviews, MEDLINE, DIABETIC foot, WOUND care, QUALITY assurance, ONLINE information services, MEDICAL care costs, SENSITIVITY & specificity (Statistics), DISEASE risk factors

Self-Attention (SA)-ConvLSTM Encoder–Decoder Structure-Based Video Prediction for Dynamic Motion Estimation.

Authors: Kim, Jeongdae Choo, Hyunseung Jeong, Jongpil

Source: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p11315, 15p

Subject Terms: LONG short-term memory, OBJECT recognition (Computer vision), PROBLEM solving, DECISION making, FORECASTING

SAEP: A Surrounding-Aware Individual Emotion Prediction Model Combined with T-LSTM and Memory Attention Mechanism.

Authors: Wang, Yakun Du, Yajun Hu, Jinrong et al.

Source: Applied Sciences (2076-3417); Dec2021, Vol. 11 Issue 23, p11111, 24p

Subject Terms: AFFECTIVE forecasting (Psychology), SOCIAL prediction, DEEP learning, SOCIAL influence, PREDICTION models

Data-driven identification of nonlinear normal modes via physics-integrated deep learning.

Authors: Li, Shanwu Yang, Yongchao

Source: Nonlinear Dynamics; Dec2021, Vol. 106 Issue 4, p3231-3246, 16p

Low-Complexity Vector Quantized Compressed Sensing via Deep Neural Networks

Authors: Leinonen, Markus Codreanu, Marian

Source: IEEE Open Journal of the Communications Society. 1:1278-1294

Subject Terms: Compressed sensing, data compression, feedforward neural networks, supervised learning, vector quantization

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-182012
https://liu.diva-portal.org/smash/get/diva2:1623034/FULLTEXT01.pdf

Accurate crowd counting for intelligent video surveillance systems

Authors: Ruslan Y. Dobryshev Maksym V. Maksymov

Source: Herald of Advanced Information Technology. 7:253-261

WaSR—A Water Segmentation and Refinement Maritime Obstacle Detection Network.

Authors: Bovcon, Borja Kristan, Matej

Source: IEEE Transactions on Cybernetics; Dec2022, Vol. 52 Issue 12, Part 1, p12661-12674, 14p