STAR Journal of Engineering Sciences and Future Novel Technologies, JESFNT is a fully open Access, peer reviewed journal providing a forum for the publication of original primary research findings across the full range of engineering fields, including: Electronics and Electronic Engineering, Computing and Software, Energy and Power Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Electrical Engineering, Industrial Engineering and Mechanical Engineering. STAR JESFNT journal also focuses on Research on how AI and deep learning are changing the healthcare industry ,Data Warehousing, Internet of Things (IoT), Big data, cloud computing, semantic web, MANET, machine learning, Artificial Intelligence, data mining, AI and robotics, Natural language processing, Image processing, bioinformatics, Network Security and Cryptography, Automating data analyses using Artificial Intelligence, quantum computing, Autonomous Vehicles, Reinforcement Machine Learning Algorithms ,Role of computers in digital forensics, Disease Prediction by Machine Learning Over Big Data From Healthcare Communities Multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems. Traditional fields of embedded systems, wireless sensor networks, control systems, automation. Conceptual approaches to improve Research on how AI and deep learning are changing the healthcare industry many other interesting research topics. STAR Open Access Journals uses gold standard model to green open-access publishing, post-publication peer review with DOI assignment, content aggregation and interactive networking for authors and reviewers. STAR Journals provide a road map of metric systems, improve in-house checks, unbiased peer review by editorial members, online editorial management and publishing platform for authors to aspire and promote quality rich and citable manuscript publications. STAR Journals facilitate selective journal indexing, citability of research output and comprehensive ranking archiving in multiple digital repositories such as Google Scholar.
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