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السجلات المعروضة 31 -- 40 من 53
A Novel Non-Invasive Estimation of Respiration Rate from Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-Threatening. Respiration rate (RR) is a vital indicator of the wellness of a patient. Continuous ...
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
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MDPI
, 2021 , Article)
Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ...
Investigating the effect of materials and structures for negative pressure ventilators suitable for pandemic situation
(
Springer Nature
, 2021 , Article)
The onset of the corona virus disease 2019 (COVID-19) pandemic caused shortages in mechanical ventilators (MVs) essential for the intensive care unit (ICU) in the hospitals. The increasing crisis prompted the investigation ...
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
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MDPI
, 2022 , Article)
A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign Language (BdSL) recognition and detection is a challenging ...
Tribo-mechanical properties evaluation of HA/TiO2/CNT nanocomposite
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Nature Research
, 2021 , Article)
In this study, a combination of reverse microemulsion and hydrothermal techniques were used to synthesize HA. A hydrothermal method was used to synthesize HA/TiO2/CNT nanocomposite powders. Cold and hot isostatic pressing ...
Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very important, otherwise, it could be life-threatening. ...
Reference Layer Artefact Subtraction (RLAS): Electromagnetic Simulations
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The utility of EEG-fMRI is limited by the large artefact voltages produced in EEG recordings made during concurrent fMRI. Novel approaches for reducing the magnitude and variability of the artefacts are, therefore, required. ...
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acquired from mobile electrocardiogram (ECG) ...
Wind power integration with smart grid and storage system: Prospects and limitations
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Science and Information Organization
, 2020 , Article)
Wind power generation is playing a pivotal role in adopting renewable energy sources in many countries. Over the past decades, we have seen steady growth in wind power generation throughout the world. This article aims to ...
A systematic approach to the design and characterization of a smart insole for detecting vertical ground reaction force (vGRF) in gait analysis
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MDPI AG
, 2020 , Article)
Gait analysis is a systematic study of human locomotion, which can be utilized in various applications, such as rehabilitation, clinical diagnostics and sports activities. The various limitations such as cost, non-portability, ...