World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , Academia , 

World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

  • ICV

    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

  • New Issue Published

    Its Our pleasure to inform you that, WJERT March 2024 Issue has been Published, Kindly check it on

  • WJERT New Impact Factor

    WJERT Impact Factor has been Increased to 7.029 for Year 2024.


    March 2024 Issue has been successfully launched on 1 March 2024.




Mbarek Lahdoud* and Ahmed Asimi


Our system aims to detect possible cancer cells, their locations andtheir phases after medical imaging. For this, it uses Blockchain and anartificial neural network. In our paper, we will exploit the trusted thirdparty played by the blockchain to provide Deep Learning with asecure, reliable, unalterable and extensible data source, by browsing allthe blocks and by registering new data in the case of a new objectvalidated by Blockchain participants. These enrich the informationalheritage made available to Deep Learning to learn and forge a modelby adjusting the internal parameters of the neuronal network. Also, thisDeep Learning can connect with other Blockchains to achieve betterperformance. Finally, the system composed of a blockchain and a DeepLearning user will find its application in health by a Blockchain ofHealth Specialists and diagnosis of diseases by Deep Learning.

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