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期刊


ISSN1475-7435
刊名International Journal of Nanotechnology
参考译名国际纳米技术杂志
收藏年代2004～2023



全部

2004 2005 2006 2007 2008 2009
2010 2011 2012 2013 2014 2015
2016 2017 2018 2019 2020 2021
2022 2023


题名作者出版年年卷期
Credence-Net: a semi-supervised deep learning approach for medical imagesPawan Kumar Mall; Pradeep Kumar Singh20232023, vol.20, no.5/10
Detection of brain tumour using machine learning based framework by classifying MRI imagesP. Nancy; G. Murugesan; Abu Sarwar Zamani; Karthikeyan Kaliyaperumal; Malik Jawarneh; Surendra Kumar Shukla; Samrat Ray; Abhishek Raghuvanshi20232023, vol.20, no.5/10
A hybrid WSN based two-stage model for data collection and forecasting water consumption in metropolitan areasMohammad Faiz; A. K. Daniel20232023, vol.20, no.5/10
Optimisation of cache replacement policy using extreme learning machineSwapnita Srivastava; P. K. Singh20232023, vol.20, no.5/10
Deep learning techniques in CT image reconstruction and segmentation: a systematic literature reviewManju Devi; Sukhdip Singh; Shailendra Tiwari20232023, vol.20, no.5/10
A novel SVM and LOF-based outlier detection routing algorithm for improving the stability period and overall network lifetime of WSNTripti Sharma; Amar Kumar Mohapatra; Geetam Tomar20232023, vol.20, no.5/10
Comparative approach for discovery of cancerous skin using deep structured learningK. A. Varun Kumar; Sree T. Sucharitha; R. Priyadarshini; N. Rajendran20232023, vol.20, no.5/10
Design of IoT aided prevention and control platform for major public health emergenciesYanfang Ma; Chunmeng Lu; Cunhong Li20232023, vol.20, no.5/10
Studying the impact of anti-oxidant extract of different vegetables on the formation of PAHs in rabbit meatRabia Siddique; Ameer Fawad Zahoor; Sajjad Ahmad; Hamad Ahmad; Abid Hussain20232023, vol.20, no.5/10
Detection and classification of brain abnormality by a novel hybrid EfficientNet-deep autoencoder (EF-DA) CNN model from MRI brain images in smart health diagnosisDillip Ranjan Nayak; Neelamadhab Padhy; Ashish Singh; Pradeep Kumar Mallick20232023, vol.20, no.5/10
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