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   Articles with "learning architecture" as a keyword



Deep-Learning Architecture in QSPR Modeling for the Prediction of Energy Conversion Efficiency of Solar Cells

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recommendations! Published in 2020 at "Industrial & Engineering Chemistry Research"

DOI: 10.1021/acs.iecr.0c03880

Abstract: The efficient and effective design of chemical processes and products heavily relies on the accurate prediction of essential properties. In this work, a deep-learning architecture integrating a bid... read more here.

Keywords: qspr modeling; architecture qspr; modeling prediction; deep learning ... See more keywords

Visual-Olfactory Synergistic Perception Based on Dual-Focus Imaging and a Bionic Learning Architecture.

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recommendations! Published in 2022 at "ACS sensors"

DOI: 10.1021/acssensors.2c01721

Abstract: The synergistic interaction of vision and olfaction is critical for both natural and artificial intelligence systems to recognize and adapt to complex environments. However, current bioinspired systems with visual and olfactory sensations are mostly assembled… read more here.

Keywords: visual olfactory; focus imaging; bionic learning; dual focus ... See more keywords

TIGER: technical variation elimination for metabolomics data using ensemble learning architecture

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recommendations! Published in 2022 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbab535

Abstract: Abstract Large metabolomics datasets inevitably contain unwanted technical variations which can obscure meaningful biological signals and affect how this information is applied to personalized healthcare. Many methods have been developed to handle unwanted variations. However,… read more here.

Keywords: ensemble learning; metabolomics data; learning architecture; tiger technical ... See more keywords

Deep learning architecture using rough sets and rough neural networks

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recommendations! Published in 2017 at "Kybernetes"

DOI: 10.1108/k-09-2016-0228

Abstract: This paper aims to utilize machine learning and soft computing to propose a new method of rough sets using deep learning architecture for many real-world applications.,The objective of this work is to propose a model… read more here.

Keywords: decision; deep learning; learning architecture; rough sets ... See more keywords

A Novel Multiagent Collaborative Learning Architecture for Automatic Recognition of Mudstone Rock Facies

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3507569

Abstract: Recognizing mud rock lithofacies is essential for mapping the subsurface depositional environments and identifying oil and gas-bearing rock formations. Conventional well logs interpretation techniques are slow, costly and require high domain expertise. Machine learning (ML)… read more here.

Keywords: multiagent collaborative; recognition; rock; learning architecture ... See more keywords

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3606334

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is capable of accurately recognizing the local features on… read more here.

Keywords: deep learning; diseases color; architecture; eye diseases ... See more keywords

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

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recommendations! Published in 2020 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2020.2967734

Abstract: Internet-of-Things (IoT) devices and applications are being deployed in our homes and workplaces. These devices often rely on continuous data collection to feed machine learning models. However, this approach introduces several privacy and efficiency challenges,… read more here.

Keywords: privacy preserving; deep learning; privacy; hybrid deep ... See more keywords

One-Dimensional Deep Learning Architecture for Fast Fluorescence Lifetime Imaging

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recommendations! Published in 2021 at "IEEE Journal of Selected Topics in Quantum Electronics"

DOI: 10.1109/jstqe.2021.3049349

Abstract: We present a hardware-friendly deep learning architecture with one-dimensional convolutional neural networks (1D CNN) for fast analyzing fluorescence lifetime imaging (FLIM) data. A 1D CNN shows unparalleled advantages; they are more straightforward, quicker to train,… read more here.

Keywords: fluorescence lifetime; fluorescence; one dimensional; deep learning ... See more keywords

A Reinforcement Learning Architecture That Transfers Knowledge Between Skills When Solving Multiple Tasks

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recommendations! Published in 2019 at "IEEE Transactions on Cognitive and Developmental Systems"

DOI: 10.1109/tcds.2016.2607018

Abstract: When humans learn several skills to solve multiple tasks, they exhibit an extraordinary capacity to transfer knowledge between them. We present here the last enhanced version of a bio-inspired reinforcement-learning (RL) modular architecture able to… read more here.

Keywords: transfers knowledge; knowledge skills; reinforcement learning; architecture transfers ... See more keywords

STD-NET: Search of Image Steganalytic Deep-Learning Architecture via Hierarchical Tensor Decomposition

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recommendations! Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2023.3267065

Abstract: Steganalysis aims to reveal covert communication established via steganography. In the arm race with steganography, steganalysis has evolved from the old-style hand-crafted features set to deep-learning architectures. However, recent studies show that the majority of… read more here.

Keywords: via hierarchical; std net; deep learning; learning architecture ... See more keywords

Deep Learning Architecture to Assist With Steering a Powered Wheelchair

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recommendations! Published in 2020 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2020.3031468

Abstract: This paper describes a novel Deep Learning architecture to assist with steering a powered wheelchair. A rule-based approach is utilized to train and test a Long Short Term Memory (LSTM) Neural Network. It is the… read more here.

Keywords: powered wheelchair; architecture assist; steering powered; deep learning ... See more keywords