Research and Reviews : Journal of Computational Biology
Volume 11, Issue 1 (2022)
Published
Table of contents
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Bionic Prosthetic with Internet of things (IoT)
Abstract: The visually impaired (VI) people often experience difficulties when traveling on foot, when they are forced to the non-spreading side with vendors, animals and other obstacles. No single system can fully accommodate all their transportation needs. The proposed system aims to provide the appropriate VI assistance to assist their white cane using IoT principles. It detects any obstacles that lie down in its course and alerts the user to them …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 1–4 Read article
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Cloud Cryptography Algorithms
Abstract: Nowadays the information is being produced increasingly more by means of the enterprises and is being elevated swiftly that want will be saved and used e.g., e-mails, facts, photograph album, tax document, financial transaction, and so on. Now statistics owners are required to store their nearby facts organization on the cloud for its elasticity with financial savings. This not simplest gives flexibility to users but additionally makes our content material …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 13–21 Read article
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Monitoring and Controlling System of COVID-19 Symptoms Using Random Forest
Abstract: Corona virus (COVID-19) has already claimed hundreds of lives and infected millions of people around the world. The early detection of COVID-19 is shown in this paper. Machine learning random forest techniques were used to implement the detection procedure on cloud computing. Objectives of the study is to provide health assurance directly from home using some smart tools with cloud computing. Our research contribute the categorization of patients into different …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 22–29 Read article
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Computational Biology with Deep Learning
Abstract: Technological advances in genomics and imaging have resulted in an explosion of molecular and cellular profiling data from large numbers of samples. Conventional analytic methodologies are being tested by the increasing expansion of biological data dimension and acquisition rate. Modern machine learning technologies, such as deep learning, promise to make accurate predictions and identify underlying structure in very huge data sets. In this study, we look at how regulatory genomics …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 5–8 Read article
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The use of Genetics and Proteomics in the Finding of Therapeutic Targets
Abstract: Gene medicine is overcoming long-standing health issues that have confounded humanity. To fully comprehend and apply gene medicine, it is vital to grasp how it works at the molecular level. Currently, various technologies may be utilized to find pharmacological targets; the two most prominent are genomic and proteomic methods. In this paper, we go over how to use genomic and proteomic approaches to find pharmacological targets in depth. These materials …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 9–12 Read article