Neural architecture influences rTMS-induced functional change: a DTI and FMRI study of cue-reactivity modulation in alcohol users.
Sign Up to like & getrecommendations! Published in 2019 at "Clinical pharmacology and therapeutics"
DOI: 10.1002/cpt.1545
Abstract: Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive neuromodulation tool which can alter neural activity in the cortical region directly under the coil as well as in monosynaptic afferent projections. Single pulses of TMS applied… read more here.
Keywords: functional change; architecture influences; influences rtms; neural architecture ... See more keywords
Imaging Neural Architecture in Brainbow Samples.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-7169-5_14
Abstract: The fluorescent protein revolution has made the light microscope the most widely used tool for studying biological structure from the single-molecule to whole organism scales. However, traditional approaches are limited in their ability to resolve… read more here.
Keywords: brainbow samples; architecture brainbow; microscopy; brainbow ... See more keywords
Neural Architecture Performance Prediction Using Graph Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Pattern Recognition"
DOI: 10.1007/978-3-030-71278-5_14
Abstract: In computer vision research, the process of automating architecture engineering, Neural Architecture Search (NAS), has gained substantial interest. Due to the high computational costs, most recent approaches to NAS as well as the few available… read more here.
Keywords: neural architecture; performance prediction; architecture performance; architecture ... See more keywords
Detection and classification of damaged wheat kernels based on progressive neural architecture search
Sign Up to like & getrecommendations! Published in 2021 at "Biosystems Engineering"
DOI: 10.1016/j.biosystemseng.2021.05.016
Abstract: Quantity and quality of grain are both closely related to national development and social stability. Grain is lost during storage due to mildew and insects. Detection of damaged grain kernels not only can reduce the… read more here.
Keywords: wheat; neural architecture; damaged wheat; wheat kernels ... See more keywords
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
An automated multi parameter neural architecture discovery framework using ChatGPT in the backend
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-97378-5
Abstract: Building efficient neural network architectures for a given dataset can be a time-consuming task requiring extensive expert knowledge. This task becomes particularly challenging for edge artificial intelligence (AI) because one has to consider additional parameters… read more here.
Keywords: neural architecture; framework; architecture discovery; discovery framework ... 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
Target-aware Neural Architecture Search and Deployment for Keyword Spotting
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3166939
Abstract: Keyword spotting (KWS) utilities have become increasingly popular on a wide range of mobile and home devices, representing a prolific application field for Convolutional Neural Networks (CNNs), which are commonly exploited to perform keyword classification.… read more here.
Keywords: keyword spotting; design; keyword; neural architecture ... See more keywords
Proxyless Neural Architecture Adaptation at Once
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206765
Abstract: Recently, Neural Architecture Search (NAS) methods are introduced and show impressive performance on many benchmarks. Among those NAS studies, Neural Architecture Transformer (NAT) aims to adapt the given neural architecture to improve performance while maintaining… read more here.
Keywords: architecture adaptation; architecture; neural architecture; performance ... See more keywords