The first question (RQ0) is a sanity check we carry out to assess the degree of difference in clustering solutions for different choices of similarity: 2.3 RQ0. Sanity Check: How much do Clusterings Based on Different Similarity Measurement Techniques Differ from One Another? This is a sanity...
Attribution can help you optimize exchange activity by identifying your most and least valuable ad investments. Future trends for ad exchanges include the development of AI and machine learning, tighter privacy regulations, and the rise of CTV. Mobile marketing dictionary from A-Z Thanks for your...
IEEE Xplore, Scopus, and Science Direct libraries was accomplished in December 2022 using the same search string proposed in the research methodology (Section4). The results of this search, along with their primary conclusions, are presented in Table1. It is important to note that a comparison...
Small and Medium Enterprises are flexible and open to innovation, although they still lag in developing and adopting new solutions to the fullest. However, mobile marketing technology adoption has risen globally with an annual rate of 24% between 2000 to 2008, which saw adoption rising above 3.9...
Tablet apps and dexterity: comparison between 3 age groups and proof of concept for stroke rehabilitation. J Neurol Phys Ther. 2016;40(1):31–9. Article PubMed Google Scholar Jang SH, Jang WH. The effect of a finger training application using a tablet PC in chronic hemiparetic stroke ...
Providing accessible and effective healthcare solutions for people living in low- and middle-income countries, migrants, and indigenous people is central to reduce the global mental health treatment gap. Internet- and mobile-based interventions (IMI) are
This analysis is most impactful when working with a mobile measurement partner (MMP), as you know the attribution data you’re receiving is unbiased and real-time. An MMP like Adjust can also be leveraged to create lookalike audiences for enhanced segmentation and targeting. For example, Adjust...
The performance of DAPSK has been determined[6], also over frequency-selective Rician fading channels[7], and in comparison with QAM[8]. Whilst it seems rather difficult to claim that APSK outperforms QAM in ideal conditions, the scenario can change when considering the impact of nonlinearities...
thus facilitating the provision of various financial and banking services (Lee and Chen,2022b). For example, when a user asks a question via the human–machine interface, the AI can list the multiple useful solutions that the user may want to know based on keywords in the user’s question...
5d,e give the comparison on the training loss and top1 accuracy. It can be clearly observed that without the network pre-train (Fig. 5e), the small DNN gets a much higher ending loss and a much lower accuracy, which indicates that the transfer step cannot make the small DNN learn the...