A neural architecture search method based on gradient descent for remaining useful life estimation
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.01.072
Abstract: Abstract Remaining useful life is the estimated continuous normal working time of a component or system from the current moment to the potential failure. The traditional methods have high trial-and-error costs and poor migration capabilities.… read more here.
Keywords: neural architecture; search method; architecture search; search ... See more keywords
A neural architecture search optimized lightweight attention ensemble model for nutrient deficiency and severity assessment in diverse crop leaves
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-20124-4
Abstract: The growth and productivity of banana crops are critically affected by micronutrient deficiencies, which are often difficult to detect at early stages. Lightweight deep learning models, optimized through neural architecture search (NAS) and attention mechanisms,… read more here.
Keywords: neural architecture; attention; crop; model ... See more keywords
Neural architecture search using attention enhanced precise path evaluation and efficient forward evolution
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-94187-8
Abstract: Predictor-based Neural Architecture Search (NAS) utilizes performance predictors to swiftly estimate architecture accuracy, thereby reducing the cost of architecture evaluation. However, existing predictor models struggle to represent spatial topological information in graph-structured data and fail… read more here.
Keywords: neural architecture; architecture; search; attention ... See more keywords
Distributed quantum architecture search
Sign Up to like & getrecommendations! Published in 2024 at "Physical Review A"
DOI: 10.1103/physreva.110.022403
Abstract: Variational quantum algorithms, inspired by neural networks, have become a novel approach in quantum computing. However, designing efficient parameterized quantum circuits remains a challenge. Quantum architecture search tackles this by adjusting circuit structures along with… read more here.
Keywords: quantum; quantum architecture; distributed quantum; architecture search ... See more keywords
Exploring Neural Architecture Search Space via Deep Deterministic Sampling
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3101975
Abstract: Recent developments in Neural Architecture Search (NAS) resort to training the supernet of a predefined search space with weight sharing to speed up architecture evaluation. These include random search schemes, as well as various schemes… read more here.
Keywords: architecture search; architecture; search space; neural architecture ... See more keywords
MOO-DNAS: Efficient Neural Network Design via Differentiable Architecture Search Based on Multi-Objective Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3148323
Abstract: The progress devoted to improving the performance of neural networks has come at a high price in terms of cost and experience. Fortunately, the emergence of Neural Architecture Search improves the speed of network design,… read more here.
Keywords: network design; moo dnas; architecture search; search ... See more keywords
A Novel LoRa LPWAN-based Communication Architecture for Search & Rescue Missions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3178437
Abstract: To avoid risking the lives of rescue team personnel in the event of disasters like earthquakes, volcanic eruptions, hurricanes, etc., Search and Rescue (SAR) robots are increasingly incorporated into the operation. One of the major… read more here.
Keywords: search rescue; architecture search; communication architecture; communication ... See more keywords
RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3214312
Abstract: Neural Architecture Search (NAS) algorithms aim at finding efficient Deep Neural Network (DNN) architectures for a given application under given system constraints. DNNs are computationally-complex as well as vulnerable to adversarial attacks. In order to… read more here.
Keywords: hardware; robustness hardware; hardware efficiency; adversarial robustness ... See more keywords
DistilNAS: Neural Architecture Search With Distilled Data
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DOI: 10.1109/access.2022.3224788
Abstract: Can we perform Neural Architecture Search (NAS) with a smaller subset of target dataset and still fair better in terms of performance with significant reduction in search cost? In this work, we propose a method,… read more here.
Keywords: distilnas neural; search; dataset; neural architecture ... See more keywords
BNNAS++: Towards Unbiased Neural Architecture Search With Batch Normalization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3226692
Abstract: Neural Architecture Search (NAS) achieves significant progress in many computer vision tasks, yet training and searching high-performance architectures over large search space are time-consuming. The NAS with BatchNorm (BNNAS) is an efficient NAS algorithm to… read more here.
Keywords: search space; bnnas; search; neural architecture ... See more keywords
Neural Architecture Search Benchmarks: Insights and Survey
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3253818
Abstract: Neural Architecture Search (NAS), a promising and fast-moving research field, aims to automate the architectural design of Deep Neural Networks (DNNs) to achieve better performance on the given task and dataset. NAS methods have been… read more here.
Keywords: benchmarks insights; search benchmarks; search; neural architecture ... See more keywords