Results 11 to 20 of about 128,609 (290)
, 2021 Synthetic biology is an emerging engineering discipline that merges biology with engineering design principles with the objective to engineer novel biological behavior in living organisms. The engineering process in synthetic biology, however, is often unpredictable and inefficient.
Palacios, Sebastian
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Computers and Education: Artificial Intelligence, 2022 Educators' loss of ability to read students' comprehension level during the class through quick questions or nonverbal communication is one of the main challenges of online and blended learning. Many researchers recently tackled this problem by proposing
Ali Al-Zawqari +2 more
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Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting
Machine Learning and Knowledge Extraction, 2023 Traffic forecasting is an important task for transportation engineering as it helps authorities to plan and control traffic flow, detect congestion, and reduce environmental impact.
Daniel Klosa, Christof Büskens
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Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator
Frontiers in Neuroinformatics, 2017 One critical factor limiting the size of neural cognitive models is the time required to simulate such models. To reduce simulation time, specialized hardware is often used.
Jan Gosmann, Chris Eliasmith
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Does the Entorhinal Cortex use the Fourier Transform?
Frontiers in Computational Neuroscience, 2013 Some neurons in the entorhinal cortex (EC) fire bursts when the animal occupies locations organized in a hexagonal grid pattern in their spatial environment.
Jeff eOrchard, Hao eYang, Xiang eJi
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Predicting System Degradation with a Guided Neural Network Approach
Sensors, 2023 Evaluating the physical degradation behavior and estimating the lifetime of engineering systems and structures is crucial to ensure their safe and reliable operation.
Hamidreza Habibollahi Najaf Abadi +1 more
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Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives
CoRR, 2021 While there exist a plethora of deep learning tools and frameworks, the fast-growing complexity of the field brings new demands and challenges, such as more flexible network design, speedy computation on distributed setting, and compatibility between different tools.
Narihira, Takuya +16 more
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Frontiers in Computational Neuroscience, 2018 Background: Parkinson's disease affects many motor processes including speech. Besides drug treatment, deep brain stimulation (DBS) in the subthalamic nucleus (STN) and globus pallidus internus (GPi) has developed as an effective therapy.Goal: We present
Valentin Senft +4 more
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The 20th century concepts of systemic cybernetic urban development
Архитектон, 2023 The article considers the development of an urban planning AI information platform based on the modeling of the framework of neural networks that collect and process data for the purpose of successive, adaptive and prospective development of settlements ...
Kolyasnikov Victor A.
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Development of a Framework to Understand Tables in Engineering Specification Documents
Applied Sciences, 2020 Several works have been done in the last decades for understanding tables in documents, but most of them were not specifically designed to understand tables in engineering specification documents. Tables in engineering specifications have characteristics
Valentin Agossou +3 more
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