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An investigation into how first generation Nigerian mothers living in the UK experience postnatal depression: an interpretative phenomenological analysis
Published 2019“…Implication for clinical practice: The findings of the study suggest the need for healthcare professionals to provide equal and unbiased services and follow guidelines for care and referral in order to effectively treat the FGNMs. …”
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202
Harmonic reduction of a single-phase multilevel inverter using genetic algorithm and particle swarm optimization
Published 2016“…Particle swarm optimization shows strength in finding best total harmonics distortion where in 7-level cascaded H-bridge multilevel inverter (m=0.8) show 6.8% only as compared to genetic algorithm. …”
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Channel selection strategies for co-existence between wimax and wifi
Published 2009Get full text
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206
Development of accident prediction model by using artificial neural network (ANN)
Published 2011Subjects: “…HE5601-5725 Automotive transportation Including trucking, bus lines, and taxicab service…”
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207
A Data Mining-Based Model for Assessing Guangzhou's Higher Vocational Colleges 'New Energy Automobile Majors' Vocational Skills
Published 2024“…In endurance validation tests, the hybrid model obtained an acceptable 88% F1 score, 90% recall, 86% precision, and 88% accuracy. The findings show the positive aspects of using modern data-driven methods to more closely match educational institutions with the constantly evolving needs of the AS. …”
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Modified shipping containers for transitional shelter construction
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The ACT-ONE trial, a multicentre, randomised, double-blind, placebo-controlled, dose-finding study of the anabolic/catabolic transforming agent, MT-102 in subjects with cachexia related to stage III and IV non-small cell lung cancer and colorectal cancer: study design
Published 2011Get full text
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Deep learning-based microcirculation performance classification using multispectral photoacoustic technology
Published 2024“…The ultrasonic waves collected from their posterior left arm under two experimental settings, namely at rest (i.e., control) and with arterial blood flow occlusions, were used to predict the microcirculation changes in tissue using the deep networks. Our findings showed the superiority of the hybrid model over the Alexnet and LSTM, with an average testing accuracy of 95.7 % and precision of 98.2 %, making it an ideal deep learning model for the task. …”
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Characterization of ink-based phantoms with deep networks and photoacoustic method
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