Recent Research Reviews Journal最新文献

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Nonnegative Matrix Factorization: A Review 非负矩阵分解:综述

Recent Research Reviews Journal Pub Date : 2023-09-01 DOI: 10.36548/rrrj.2023.2.006

None Abdul bin Ismail

引用次数: 0

The Impact of Transition of Small Medium Enterprises (SMEs) Businesses into an Online Digital Marketing System in Nigeria 尼日利亚中小企业向在线数字营销系统转型的影响

Recent Research Reviews Journal Pub Date : 2023-09-01 DOI: 10.36548/rrrj.2023.2.005

None Samuel Angwe Bem, None Ugochukwu Okwudili Matthew, None Charles Chukwuebuka Ndukwu, None Godwin Nse Ebong

{"title":"The Impact of Transition of Small Medium Enterprises (SMEs) Businesses into an Online Digital Marketing System in Nigeria","authors":"None Samuel Angwe Bem, None Ugochukwu Okwudili Matthew, None Charles Chukwuebuka Ndukwu, None Godwin Nse Ebong","doi":"10.36548/rrrj.2023.2.005","DOIUrl":"https://doi.org/10.36548/rrrj.2023.2.005","url":null,"abstract":"In every customer oriented business enterprise, digital marketing is at the forefront of every inventive product campaign. Businesses have continued to place a high priority on the need to grow their customer base, product rebranding and revenue projection by implementing efficient digital marketing strategies. This approach will require technological developments such as the use of digitization and social media enablement that will promote businesses to disseminate information and connect wide spectrum of customers across divide. The purpose of this study is to examine the value and impact of digital marketing on the competitive participation of small and medium-sized businesses in the Nigeria. The study explains why adopting digital marketing is essential for small and medium businesses to take advantage of customer’s digital potency and influence their needs to shape the market through digital activation. A sample of 220 respondents were taken from the total population of 250 small ,medium enterprises within the study area using random sampling method in which approximately 88% of the administered questionnaires were retrieved and found useful for the data analysis. The research finding indicated that after adopting digital marketing, the most number of SMEs (36%) earn between 1 and 3 million Naira as a turn-over higher than the previous year when there was no implementation of digital marketing mechanization.","PeriodicalId":472072,"journal":{"name":"Recent Research Reviews Journal","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135736922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Study on Scope of Artificial Intelligence in Diagnostic Medicine 人工智能在诊断医学中的应用范围研究

Recent Research Reviews Journal Pub Date : 2023-06-01 DOI: 10.36548/rrrj.2023.1.04

S. P. Santhoshkumar, H. Lilly Beaulah, K. Susithra

{"title":"A Study on Scope of Artificial Intelligence in Diagnostic Medicine","authors":"S. P. Santhoshkumar, H. Lilly Beaulah, K. Susithra","doi":"10.36548/rrrj.2023.1.04","DOIUrl":"https://doi.org/10.36548/rrrj.2023.1.04","url":null,"abstract":"Artificial Intelligence techniques are used to improve patient care and health systems. The use of machine learning and deep learning in healthcare is indeed prevalent, and it's fascinating to see how different medical data sources can be combined to diagnose diseases accurately. The variety of diseases that can be diagnosed using Artificial Intelligence (AI) techniques is impressive, and it’s interesting to note that different medical imaging datasets are used for feature extraction and classification to make predictions. This highlights the potential of AI in healthcare to assist healthcare providers in identifying diseases and providing appropriate treatments. It is also encouraging to see that AI can enhance the patient experience in hospitals and speed up rehabilitation at home. This can help to improve patient outcomes and reduce healthcare costs. Overall, it's evident that AI has the potential to revolutionize the healthcare industry and improve patient care. As the technology continues to evolve, it will be interesting to see how it is further applied in healthcare and the impact it has on patient outcomes. In this study, the scope of AI in diagnostic medicine has been analysed and summarized.","PeriodicalId":472072,"journal":{"name":"Recent Research Reviews Journal","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136169916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0