Case study of business model adaptation in the travel industry: targeting generation z by Erwin Iriyanto Siagian, Nurul Anisa

“…The results showed that the most effective strategy was marketing through collaboration with social media influencers, which significantly increased brand visibility and appeal to Generation Z, compared to other strategies such as mobile app development or data-driven service personalization. …”
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Intelligent temperature detection system based on“5G+AI” by Shan JIANG, Guocheng GONG, Tengyuan MA, Long XIAO

“…An intelligent temperature measurement solution based on “5G+AI” for the prevention and control of epidemic situation in COVID-19 was presented.Intelligent temperature measurement has a wide range of application scenarios in areas with dense traffic such as airports, railway stations and stations.A new AI temperature measurement architecture was proposed.The camera and infrared thermometer was used to measure temperature.The preprocessing module included image decoding, color space transformation, image correction and image normalization.Head detection model need to undergo off-line model training.Finally, through the temperature calculation module, the structured information was output.The development process of the model included data collection and annotation, model construction, model training, model optimization and model deployment.A comprehensive intelligent temperature measurement system was constructed, which integrated 5G temperature measurement hardware, OneNET access platform, monitoring application platform and mobile App.Finally, “5G+AI” intelligent temperature measurement products were successfully deployed in many cities and different application scenarios across the country.…”
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Examining the relationship between technological innovation, environmental social governance and corporate sustainability: the moderating role of green operational innovation by Oluwole Nurudeen Omonijo, Yunsheng Zhang

“…To achieve the aims of this study, primary data were collected from 488 respondents of mobile app platform users for hypothesis testing. The collected data were analyzed using statistical analysis such as SPSS and AMOS. …”
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Impact of digital health interventions on glycemic control and weight management by Arvind Veluvali, Ashkan Dehghani Zahedani, Amir Hosseinian, Nima Aghaeepour, Tracey McLaughlin, Mark Woodward, Alex DiTullio, Noosheen Hashemi, Michael P. Snyder

“…Abstract This retrospective cohort study evaluates the impact of an AI-supported continuous glucose monitoring (CGM) mobile app (“January V2”) on glycemic control and weight management in 944 users, including healthy individuals and those with prediabetes or type 2 diabetes (T2D). …”
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A Novel Computational Framework for Visual Snow Syndrome by Damiano Perri, Osvaldo Gervasi

“…The results of an evaluation questionnaire submitted to volunteers who tested and scored the mobile App and eventually expressed opinions and suggestions are reported. …”
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Mobile language app learners’ self-efficacy increases after using generative AI by Audrey K. Kittredge, Elise W. M. Hopman, Ben Reuveni, Danielle Dionne, Cassie Freeman, Xiangying Jiang

“…The purpose of these studies was to investigate self-efficacy development in a generative AI-based language learning experience.MethodsIn two studies, learners (N = 385) of French/Spanish used AI-based features offering conversation practice and on-demand explanations in a mobile app (Duolingo) for 1 month. Before and after using the features, learners reported their self-efficacy and other perceptions.ResultsIn Study 1, learners who had already used the features felt significantly more prepared to use French/Spanish in real-life situations after 1 month, as did learners in Study 2 who used the features for the first time. …”
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Marketing Potential of Homemade Food: a New Entrepreneurial Endeavour by Mohammed Muneerali Thottoli, Tif Said Suhail Al Mazroui, Duaa Suleiman Amur Al Hoqani, Maather Mohammed Al-Alawi

“…This research comprises a specific approach to the marketability of homemade food and suggests a unique mobile app for trading homemade food. The data was gathered in Nizwa, Oman, however it could be broadened to encompass more geographic regions, particularly urban areas. …”
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Detecting privacy compliance of mobile applications from the perspective of the "minimum necessary" principle by YU Peihou, XU Tianchen, SUN Wenqian, CHEN Yunfang, YU Le, ZHANG Wei

“…To comply with legal requirements for personal data privacy protection, mobile App developers typically disclose their data collection practices to users through privacy policies. …”
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Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2SE) by N. Sasikaladevi, S. Pradeepa, A. Revathi, S. Vimal, Gaurav Dhiman

“…Finally, the model is integrated into a mobile app for robust classification of anti-diabetic therapeutic medicinal plant with real field images.…”
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Using a mobile application for antiretroviral therapy adherence in people living with HIV: A longitudinal pilot study by Rejane Caetani, Susana L. Wiechmann, Jacques D. Brancher, Vitor H.F Oliveira, Rafael Deminice

“…Objectives: To conduct a longitudinal pilot study to assess the feasibility, acceptability and effectiveness of a mobile app to improve ART adherence. Method: This study included adults living with HIV and using ART, who were allocated into two groups according to their willingness to use the app: users of the mobile application for ART management (Mobile) and non-users (Control). …”
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Mobile Learning Model of Tour Guide Business in Universities from the Perspective of Distributed Cognition by Chuanhong Lin, Liangju Wang, Yamei Li

“…In the process of online learning, students can realize the convenient learning through mobile APP terminal anytime and anywhere, or they can sit comfortably at the study table through the computer; in the offline activity classroom, students can sit in the classroom of UMU and communicate with teachers face to face, or they can use their cell phones to project their check-in, opinions, test results, etc. to the big screen. …”
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Analysis of LazLive Utilization in Mobile Applications Lazada at Sahoor Time by Angga Guslim, Karen Kusnadi, Irwansyah

“…The results found that (1) Lazada personalized several of its live streaming features to match the feel of the program, and (2) Lazada continues to update its features according to customer needs and feedback. (3) LazLive received a positive response from Lazada app users and contributed to the number of reviews received by the Lazada mobile app in the Google Play Store. All the innovations that Lazada provides through LazLive are expected to increase application consumers and the welfare of sellers.…”
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Victim Verification with the Use of Deep Metric Learning in DVI System Supported by Mobile Application by Zbigniew Piotrowski, Marta Bistroń, Gabriel Jekateryńczuk, Paweł Kaczmarek, Dymitr Pietrow

“…The system, called ID Victim (IDV), is a web application using a mobile app and data server. The DVI (Disaster Victim Identification) procedure, an international standard developed by Interpol, is used. …”
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Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions by Haneen Reda Banjar, Lujain Alsefri, Aseel Alshomrani, Morouj Hamdhy, Sara Alahmari, Sanaa Sharaf

“…Negative emotions, in particular, pose a challenge due to their complexity and the difficulty in managing them effectively. The “Motus Up” mobile app represents a significant leap in personal mental health management by merging EEG-based emotion recognition with a rule-based chatbot to aid users in managing negative emotions. …”
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Children's digital privacy on fast-food and dine-in restaurant mobile applications. by Christine Mulligan, Grace Gillis, Lauren Remedios, Christopher Parsons, Laura Vergeer, Monique Potvin Kent

“…This study aimed to provide insight into the privacy policies of top dine-in and fast-food mobile apps in Canada and data collected on child users. …”
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AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

“…Data were collected using a mobile app (Gosufit) that measured depression, stress, anxiety, basal metabolic rate, oxygen saturation, heart rate, and average daily step count. …”
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Heart rate variability biofeedback in a global study of the most common coherence frequencies and the impact of emotional states by Sai Balaji, Nachum Plonka, Mike Atkinson, Malathy Muthu, Minvydas Ragulskis, Alfonsas Vainoras, Rollin McCraty

“…Abstract This global study analyzed data from the largest dataset ever studied in the Heart Rate Variability (HRV) biofeedback field, comprising 1.8 million user sessions collected from users of a mobile app during 2019 and 2020. We focused on HRV Coherence, which is linked to improved emotional stability and cognitive function. …”
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UX-MAPPER: An automated approach to analyze app store reviews with a focus on UX by Walter T. Nakamura, Edson C. C. de Oliveira, Elaine H. T. de Oliveira, Tayana Conte

“… The mobile app market has increased substantially in the past decades, and the myriad options in the app stores have made users less tolerant of low-quality apps. …”
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Zimbabwean communication agencies by Anna Oksiutycz, Abyshey Nhedzi

“…The agencies provide services such as advertising, graphic design, branding, website development, event management, video production, online marketing, media relations, mobile app development, and even animation. There is a growing trend to use digital platforms of communication, yet radio and print (magazines and newspapers) remain essential communication channels. …”
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Indonesia rupiah currency detection for visually impaired people using transfer learning VGG-19 by Raissa Alfatikarani, Laras Suciningtyas, Genta Garuda Bimasakti, Faqisna Putra Mardhatillah, Jessie R. Paragas, Hapsari Peni Agustin Tjahyaningtijas

“…The main advantage of using transfer learning with the VGG-19 model is that it significantly reduces training time while still achieving high accuracy, differentiating this work from previous studies that relied on training from scratch, which is more time-consuming and resource-intensive. Therefore, this mobile app can be categorized as having a fast response time.…”
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