Web7 aug. 2024 · Step 1—Narrow your topic. One of the first and easiest mistakes to make when writing a literature review is to start with a topic that is too broad. Since the literature review will provide a foundation for your research, it needs to be narrowed enough to provide a solid one. For example, let's say you want to research the topic of childhood ... Web7 apr. 2024 · On Efficient Training of Large-Scale Deep Learning Models: A Literature Review. Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao. The field of deep learning has witnessed significant progress, particularly in computer vision (CV), natural language processing (NLP), and speech. The use of large-scale models trained …
Literature review - Wikipedia
Web29 aug. 2024 · While there might be many reasons for conducting a literature review, following are four key outcomes of doing the review. Assessment of the current state of research on a topic. This is probably the most obvious value of the literature review. Web19 jan. 2024 · The body of the literature review. Conclusion. Keeping these components in mind, the length of a literature review is not restricted to a word limit. It differs with … green home of travel
Literature Review Methodology - Online Dissertation Help
WebA literature review is a critical and in depth evaluation of previous research. It is a summary and synopsis of a particular area of research, allowing anybody reading the paper to establish why you are pursuing this particular research. A good literature review expands on the reasons behind selecting a particular research question. Web10 apr. 2024 · From the institutional theory perspective, this study conducted a systematic review of 114 articles published in the ISI Web of Science and Scopus databases from 1990 to 2024. ... we conducted a systematic literature review (SLR) by collecting data on 114 articles published from 1990 to 2024. We used two trustworthy databases: ... Web12 apr. 2024 · Based on our literature review, the overall research comprised approx. 51% robotic manipulators, 30% humanoid robots, 17% musculoskeletal robots, and 2% hyper-redundant robots. It was evident from the literature that humanoids and seven degree of freedom manipulators served as the ideal platforms for testing biomimetic algorithms due … green home of the year