Αποτελέσματα Αναζήτησης
1 Απρ 2023 · Systematic Literature Review of research at intersection of AI and innovation. •. Illustrates the major theoretical lenses adopted in the studies. •. Identified economic, technological, and social factors as drivers of AI adoption. •. Identified economic, competitive, organizational, innovation factors as outcomes. •.
- Nanopatenting Patterns in Relation to Product Life Cycle
It is based on the notion of a nanotechnology production...
- A Big Data Approach
Table 1 lists the criteria and their related categories as...
- Text Mining Using Database Tomography and Bibliometrics
The present paper summarizes the methods and outputs of...
- Over The Mask of Innovation Management in The World of Big Data
1. Introduction. In Gumusluoglu & Ilsev, 2009, Gumusluoglu...
- Integrating The “Big 3” of Technology Acceptance With Privacy Context
In personal identification and authentication field, the...
- Guidelines for Qualitative Scholarship
Among qualitative methods, case studies play a particularly...
- Nanopatenting Patterns in Relation to Product Life Cycle
1 Ιουν 2024 · This study contributes to AI research by providing insights into current issues, research methodology, level of analysis and conceptual approaches, and AI framework to help identify research gaps for future investigations.
12 Μαΐ 2023 · Drawing upon a rigorous review of extant literature, we critically analyze the transformative role of AI in shaping research paradigms and methodologies (Turing, 1936; McCarthy, Minsky,...
5 ημέρες πριν · AI also offers new tools for natural language processing (NLP) tasks, such as topic modeling and sentiment analysis, which are increasingly being used in social sciences research (Babu & Kanaga, 2022; Ciechanowski et al., 2020). These tools can help researchers uncover underlying sentiments and trends within large datasets, adding valuable ...
13 Ιουν 2024 · The rapid advancement of AI technologies and the continuous publication of new research make it challenging for this scoping review to comprehensively cover all AI technologies used in digital pathology for image analysis.
4 Ιουλ 2024 · In this Review, we focus on the Artificial Intelligence (AI) methods which enable machines to automatically propose suitable SPDs with or without domain-specific knowledge expertise. We broadly categorised the various AI methods used in the literature into three subsets, namely Expert Systems, Machine Learning and Deep Learning (Fig. 3 ).
27 Μαΐ 2024 · In this article, we briefly introduce AI and explain how it can be used in research, examine some of the ethical issues raised when using it, and offer nine recommendations for responsible use, including: (1) Researchers are responsible for identifying, describing, reducing, and controlling AI-related biases and random errors; (2) Researchers ...
