Automated extraction of energy systems information from remotely sensed data: A review and analysis

S Ren, W Hu, K Bradbury, D Harrison-Atlas, LM Valeri… - Applied Energy, 2022 - Elsevier
High quality energy systems information is a crucial input to energy systems research,
modeling, and decision-making. Unfortunately, actionable information about energy systems …

[HTML][HTML] DNA microarray for rapid detection and identification of food and water borne bacteria: from dry to wet lab

R Ranjbar, P Behzadi, A Najafi… - The open microbiology …, 2017 - ncbi.nlm.nih.gov
Background: A rapid, accurate, flexible and reliable diagnostic method may significantly
decrease the costs of diagnosis and treatment. Designing an appropriate microarray chip …

A fully connected quantum convolutional neural network for classifying ischemic cardiopathy

U Ullah, AGO Jurado, ID Gonzalez… - IEEE …, 2022 - ieeexplore.ieee.org
The prevalence of heart diseases is rising quickly throughout the world, which has an impact
on both the world economy and public health. According to the recent statistical survey …

[HTML][HTML] Challenge for affective brain-computer interfaces: Non-stationary spatio-spectral EEG oscillations of emotional responses

YW Shen, YP Lin - Frontiers in human neuroscience, 2019 - frontiersin.org
Electroencephalogram (EEG)-based affective brain-computer interfaces (aBCIs) have been
attracting ever-growing interest and research resources. Whereas most previous …

Sustainable development of Ukraine as a combination of social, economic and environmental components: structural econometric model of three-pillar approach

LM Zomchak - IOP Conference Series: Earth and Environmental …, 2023 - iopscience.iop.org
The combination of the economic, social and environmental issues of the country-level
development in the case of Ukraine requires modernization of the national economic system …

[HTML][HTML] An intelligent logic-based mold breakout prediction system algorithm for the continuous casting process of steel: a novel study

MO Ansari, J Ghose, S Chattopadhyaya, D Ghosh… - Micromachines, 2022 - mdpi.com
Mold breakout is one of the significant problems in a continuous casting machine (caster). It
represents one of the key areas within the steel production facilities of a steel plant. A …

Sign language gesture recognition using doppler radar and deep learning

H Kulhandjian, P Sharma… - 2019 IEEE globecom …, 2019 - ieeexplore.ieee.org
In this paper, we study American sign language (ASL) hand gesture recognition using
Doppler radar. A set of ASL hand gesture motions are captured as micro-Doppler signals …

[HTML][HTML] ViMantic, a distributed robotic architecture for semantic mapping in indoor environments

D Fernández-Chaves, JR Ruiz-Sarmiento… - Knowledge-Based …, 2021 - Elsevier
Semantic maps augment traditional representations of robot workspaces, typically based on
their geometry and/or topology, with meta-information about the properties, relations and …

[HTML][HTML] Objective assessment of impulse control disorder in patients with Parkinson's disease using a low-cost LEGO-like EEG headset: a feasibility study

YP Lin, HY Liang, YS Chen, CH Lu, YR Wu… - Journal of …, 2021 - Springer
Abstract Background Patients with Parkinson's disease (PD) can develop impulse control
disorders (ICDs) while undergoing a pharmacological treatment for motor control …

Extracting synchronized neuronal activity from local field potentials based on a marked point process framework

Y Huang, X Zhang, X Shen, S Chen… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Brain-machine interfaces (BMIs) translate neural activity into motor commands to
restore motor functions for people with paralysis. Local field potentials (LFPs) are promising …