Log in

Relevant bibliographies by topics / Mobile AI / Journal articles

To see the other types of publications on this topic, follow the link: Mobile AI.

Journal articles on the topic 'Mobile AI'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Mobile AI.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Manser Payne, Elizabeth, James W. Peltier, and Victor A. Barger. "Mobile banking and AI-enabled mobile banking." Journal of Research in Interactive Marketing 12, no. 3 (2018): 328–46. http://dx.doi.org/10.1108/jrim-07-2018-0087.

Full text

Abstract:

PurposeThe rapid growth of technology, including artificial intelligence (AI), in the banking industry has played a disrupting role in traditional banking channels. This study aims to investigate factors that influence the attitudes and perceptions of digital natives pertaining to mobile banking and comfort interacting with AI-enabled mobile banking activities.Design/methodology/approachData were collected from 218 digital natives. This paper uses multivariate regression and two separate multiple regression analyses to examine the differential effects of technology-based (i.e. attitudes toward

APA, Harvard, Vancouver, ISO, and other styles

2

Mao, Yingchi, Andri Pranolo, Leonel Hernandez, Aji Prasetya Wibawa, and Zalik Nuryana. "Artificial intelligence in mobile communication: A Survey." IOP Conference Series: Materials Science and Engineering 1212, no. 1 (2022): 012046. http://dx.doi.org/10.1088/1757-899x/1212/1/012046.

Full text

Abstract:

Abstract In this paper, we elaborate on artificial intelligence (AI) techniques used to improve the performance of mobile communication. This article describes brief AI approaches in mobile communication, several classics AI techniques, and the current AI approaches in wireless communication. The techniques contain fuzzy logic, neural networks, reinforcement learning, and AI techniques implemented on mobile communication. Some keys or terms challenges between AI and future mobile communication, not only 5G generation issues but also how the sixth generation (6G) of mobile networks will be driv

APA, Harvard, Vancouver, ISO, and other styles

3

Kara, Saban, and Yunus Yildiz. "From a commodity to addiction: Are mobile phones valuable commodities or sources of addiction for freshman students?" Revista Amazonia Investiga 11, no. 56 (2022): 196–209. http://dx.doi.org/10.34069/ai/2022.56.08.20.

Full text

Abstract:

Mobile phone use has increased exponentially on a global scale in all segments of society since the rise of the first mobile phones in 1970s. Although a wealth of research has been conducted to measure the effects of mobile phones on individuals, a few studies have been carried out to make a connection between similes and mobile phone use. In this respect, this study examined habits of students on mobile phone use through similes at a private university located in Erbil, Iraq. Students employed food, drink, household items and people to illustrate their mobile phone dependence rate. A question

APA, Harvard, Vancouver, ISO, and other styles

4

Lakulu, Muhammad Modi, Ayad Shihan Izkair, Mohd Fadhil Harfiez Abdul Muttalib, and Nur Azlan Zainuddin. "Leveraging AI in mobile learning to support education: A taxonomy of AI applications." Journal of Infrastructure, Policy and Development 8, no. 16 (2024): 7347. https://doi.org/10.24294/jipd7347.

Full text

Abstract:

This study conducts a systematic review to explore the applications of Artificial Intelligence (AI) in mobile learning to support indigenous communities in Malaysia. It also examines the AI techniques used more broadly in education. The main objectives of this research are to investigate the role of Artificial Intelligence (AI) in support the mobile learning and education and provide a taxonomy that shows the stages of process that used in this research and presents the main AI applications that used in mobile learning and education. To identify relevant studies, four reputable databases—Scien

APA, Harvard, Vancouver, ISO, and other styles

5

Nagovitsyn, Roman Sergeevich, Dana Kazimirovna Bartosh, Ilya Vladimirovich Evtushenko, and Nataliya Viktorovna Neverova. "Information space of a higher school based on mobile technologies." Revista Amazonia Investiga 9, no. 29 (2020): 359–67. http://dx.doi.org/10.34069/ai/2020.29.05.40.

Full text

Abstract:

This article presents the author’s vision of the content of the information space based on mobile technologies, which includes three synergistically interconnected areas: mobile Internet training, chat training and education based on mobile applications in the format of audio and video training. The purpose of the study: to develop the information space of a higher school based on mobile technologies and experimentally prove the effectiveness of its implementation in the training of students. The scientific novelty of the author’s research lies in the originality of the approach to the formati

APA, Harvard, Vancouver, ISO, and other styles

6

Palshkov, Kostiantyn, Natalia Shetelya, Nataliia Khlus, Iryna Vakulyk, and Inna Khyzhniak. "Impact of mobile apps in higher education: Evidence on learning." Revista Amazonia Investiga 13, no. 74 (2024): 115–28. http://dx.doi.org/10.34069/ai/2024.74.02.10.

Full text

Abstract:

The article reveals the main advantages of using mobile applications in the educational process and shows their significance in increasing the level of knowledge and skills of higher education students; elements of the content of mobile learning are revealed; didactic principles are singled out and factors that educational mobile applications must meet are grouped; didactic features of mobile applications are shown in the educational process of a higher school. The methodological basis of the study is the general theoretical and methodological provisions of philosophy regarding the relationshi

APA, Harvard, Vancouver, ISO, and other styles

7

P, Suraj, Pranav H M, Prathiksha P Shetty, and Suhas B E. "Artificial Intelligence (AI) Enhanced Cognitive Mobile Computing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43702.

Full text

Abstract:

The rise of mobile devices and enhanced by the development in Artificial Intelligence (AI) these power-ups have translated into humongous improvements on how people interact with applications. In this paper we explore the incorporation of cognitive computing approaches for creating mobile specific predictive interaction models. Powered by AI, these models seek to predict user activity, interests and demands for the most human like experience in mobile applications. Here, we present an all-inclusive methodology to collect data from mobile sensors design the model with machine learning algorithm

APA, Harvard, Vancouver, ISO, and other styles

8

Zhang, Ye, Jinrui Zhang, Sheng Yue, Wei Lu, Ju Ren, and Xuemin Shen. "Mobile Generative AI: Opportunities and Challenges." IEEE Wireless Communications 31, no. 4 (2024): 58–64. http://dx.doi.org/10.1109/mwc.006.2300576.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Lu, Jiayi, Wenjing Xiao, Enmin Song, Mohammad Mehedi Hassan, Ahmad Almogren, and Ayman Altameem. "iAgent: When AI Meets Mobile Agent." IEEE Access 7 (2019): 97032–40. http://dx.doi.org/10.1109/access.2019.2926286.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Baba, Khalid, Nour-Eddine El Faddouli, and Nicolas Cheimanoff. "Mobile-Optimized AI-Driven Personalized Learning: A Case Study at Mohammed VI Polytechnic University." International Journal of Interactive Mobile Technologies (iJIM) 18, no. 04 (2024): 81–96. http://dx.doi.org/10.3991/ijim.v18i04.46547.

Full text

Abstract:

With the rise of mobile learning platforms, it has become increasingly evident that individuals require personalized experiences that are tailored to the strengths and limitations of mobile devices. The present study explores the significant impact that personalized mobile learning environments, powered by artificial intelligence (AI), could have. This study specifically evaluates the impact of an AI-driven personalized educational platform, designed for mobile devices, on the academic achievement and educational progress of students at Mohammed VI Polytechnic University. The platform, designe

APA, Harvard, Vancouver, ISO, and other styles

11

B, Manikandan, Sanika Chandran R, Sreenidhi M, Nishanthi S, and Vigneya Rithika Shree J. J. "The Impact of Artificial Intelligence (AI) on mobile App Development." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29301.

Full text

Abstract:

Artificial Intelligence (AI) has revolutionized the landscape of mobile app development, bringing about transformative changes in functionality, user experience, and capabilities. This paper aims to explore and analyze the impact of AI on mobile app development, highlighting its significant contributions and potential implications. The integration of AI technologies such as machine learning, natural language processing, and computer vision has empowered mobile applications to offer personalized experiences, enhanced decision-making capabilities, and predictive functionalities. AI-driven algori

APA, Harvard, Vancouver, ISO, and other styles

12

Reddy Bhimanapati, Vijay Bhasker, Shalu Jain, and Pandi Kirupa Gopalakrishna Pandian. "Security Testing for Mobile Applications Using AI and ML Algorithms." Journal of Quantum Science and Technology 1, no. 2 (2024): 44–58. http://dx.doi.org/10.36676/jqst.v1.i2.15.

Full text

Abstract:

Mobile apps have revolutionized the digital world, making mobile devices essential to billions of users' everyday lives. This growth in mobile use has also increased security concerns to mobile apps, from data breaches to malicious software assaults. Traditional security testing methodologies, although useful, sometimes fail to address these attackers' sophistication and evolution. This study examines the use of AI and ML algorithms in mobile application security testing to improve vulnerability discovery, analysis, and mitigation.AI and ML algorithms use massive volumes of data and real-time

APA, Harvard, Vancouver, ISO, and other styles

13

ananth, V. Vijay, Mr A. Aswin bharath, Ms U. Sindhu vaardhini, and Mr P. A. Prabakaran. "INVESTIGATING THE ENHANCEMENT OF CONSTRUCTION SUPPLY CHAIN MANAGEMENT WHEN INCORPORATED WITH ARTIFICIAL INTELLIGENCE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–3. http://dx.doi.org/10.55041/ijsrem27862.

Full text

Abstract:

The integration of artificial intelligence (AI) with mobile applications for supply chain management is examined in this review of the literature. It emphasizes the revolutionary effect of AI on supply chain process optimization by looking at a variety of academic publications. According to the abstract, there is general agreement that supply chain operations can benefit from AI-powered mobile applications in terms of increased productivity, lower costs, and reduced risk. Real-time tracking, inventory management, and demand forecasting using machine learning algorithms are some of the major th

APA, Harvard, Vancouver, ISO, and other styles

14

Shuoteng Huang. "Extending Technology Continuance Theory: Investigating the Impact of AI Characteristics on Continuance Intention in AI Enabled Mobile Banking." Journal of Information Systems Engineering and Management 10, no. 3 (2025): 895–928. https://doi.org/10.52783/jisem.v10i3.6467.

Full text

Abstract:

Purpose–This study seeks to address the gap in research regarding the influence of artificial intelligence (AI) characteristics on users' continuance intention (CI) within mobile banking contexts. Despite the widespread adoption of AI as a transformative technology in mobile banking, there is limited systematic research employing Technology Continuance Theory (TCT) to examine the effect of AI features on users' CI towards AI-powered mobile banking applications. This research explores the roles of perceived intelligence and perceived anthropomorphism as key AI characteristics and their mechanis

APA, Harvard, Vancouver, ISO, and other styles

15

Niranjana, Gurushankar. "AI-Driven Signal Processing for Mobile Communications." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 1 (2024): 1–6. https://doi.org/10.5281/zenodo.14541031.

Full text

Abstract:

The relentless demand for higher data rates, lower latency, and massive connectivity in next-generation mobile networks (beyond 5G) necessitates innovative signal processing techniques. This paper delves into the intricacies of AI-driven signal processing in mobile communications, addressing challenges, solutions, and future directions. It also explores the transformative role of Artificial Intelligence (AI) in revolutionizing signal processing for future 6G systems. We examine how deep learning, reinforcement learning, and other AI paradigms are being applied to address key challenges such as

APA, Harvard, Vancouver, ISO, and other styles

16

Cavus, Nadire, Yakubu Bala Mohammed, and Mohammed Nasiru Yakubu. "An Artificial Intelligence-Based Model for Prediction of Parameters Affecting Sustainable Growth of Mobile Banking Apps." Sustainability 13, no. 11 (2021): 6206. http://dx.doi.org/10.3390/su13116206.

Full text

Abstract:

Nowadays, mobile banking apps are becoming an integral part of people lives due to its suppleness and convenience. Despite these benefits, yet its growth in evolving states is beyond expectations. However, using mobiles devices to conduct financial transactions involved a lot of risk. This paper aims to investigate customers’ reasons for non-usage of the new conduits in developing countries with distinct interest in Nigeria. The study adopts two methods of analysis, artificial intelligence-based methods (AI), and structural equations modeling (SEM). A feed-forward neural network (FFNN) sensiti

APA, Harvard, Vancouver, ISO, and other styles

17

Duggirala, Jagadeesh. "The Role of AI in Enhancing Mobile User Experiences." International Journal of Science and Research (IJSR) 7, no. 6 (2018): 1958–59. http://dx.doi.org/10.21275/sr24724162339.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Nardyuzhev, Victor I., Ivan V. Nardyuzhev, Victoria E. Marfina та Ivan N. Kurinin. "Сomputer tools for data collection in the student-sociologist's workshop". Revista Amazonia Investiga 9, № 26 (2020): 263–71. http://dx.doi.org/10.34069/ai/2020.26.02.30.

Full text

Abstract:

The article is devoted to the collection and processing of sociological data using mobile and office computers in a workshop of sociological students. The relevance of these issues is due to the fact that new applied information competencies should be formed for the student in addition to his ability to work with questionnaires on paper, work on mobile and office personal computers in local and global computer networks with office programs and Internet technologies at present with mass the spread of computer and mobile technologies, the growth of the functionality of mobile personal computing

APA, Harvard, Vancouver, ISO, and other styles

19

Alkhasawneh, Sani. "AI-Driven Personalized Mathematics Learning Through Interactive Mobile Platforms: Effects on Achievement and Motivation." International Journal of Interactive Mobile Technologies (iJIM) 19, no. 13 (2025): 33–54. https://doi.org/10.3991/ijim.v19i13.54947.

Full text

Abstract:

Abstract—The increasing use of mobile learning platforms shows that people need adapted experiences that address mobile device features and system capabilities. This research evaluates the powerful effect that mobile learning environments enabled through AI technology would have on mathematics education. The research investigates an AI-based mobile educational platform to enhance students' mathematics achievement and motivation. The researcher adopted a quasi-experimental approach and selected the participants purposefully, comprising 76 students. The participants were randomly divided into tw

APA, Harvard, Vancouver, ISO, and other styles

20

Elbagoury, Bassant M., Luige Vladareanu, Victor Vlădăreanu, Abdel Badeeh Salem, Ana-Maria Travediu, and Mohamed Ismail Roushdy. "A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform." Sensors 23, no. 7 (2023): 3500. http://dx.doi.org/10.3390/s23073500.

Full text

Abstract:

Artificial intelligence (AI) techniques for intelligent mobile computing in healthcare has opened up new opportunities in healthcare systems. Combining AI techniques with the existing Internet of Medical Things (IoMT) will enhance the quality of care that patients receive at home remotely and the successful establishment of smart living environments. Building a real AI for mobile AI in an integrated smart hospital environment is a challenging problem due to the complexities of receiving IoT medical sensors data, data analysis, and deep learning algorithm complexity programming for mobile AI en

APA, Harvard, Vancouver, ISO, and other styles

21

Janet Aderonke Olaboye, Chukwudi Cosmos Maha, Tolulope Olagoke Kolawole, and Samira Abdul. "Innovations in real-time infectious disease surveillance using AI and mobile data." International Medical Science Research Journal 4, no. 6 (2024): 647–67. http://dx.doi.org/10.51594/imsrj.v4i6.1190.

Full text

Abstract:

The integration of artificial intelligence (AI) and mobile health data has ushered in a new era of real-time infectious disease surveillance, offering unprecedented insights into disease dynamics and enabling proactive public health interventions. This paper explores the innovative applications of AI and mobile data in transforming traditional surveillance systems for infectious diseases. By harnessing the power of AI algorithms, coupled with the vast amount of data generated from mobile devices, researchers and public health authorities can now monitor disease outbreaks in real-time with grea

APA, Harvard, Vancouver, ISO, and other styles

22

Kwemoi, Kabiga Chelule. "Harnessing Artificial Intelligence for Mobile Money Optimization in West Africa: Trends, Challenges, and Opportunities." IDOSR JOURNAL OF SCIENTIFIC RESEARCH 10, no. 1 (2025): 12–16. https://doi.org/10.59298/idosrjsr/2024/10.1.12.160.

Full text

Abstract:

The rapid growth of mobile money platforms in West Africa has revolutionized financial inclusion, offering accessible and secure payment solutions to millions of underserved populations. Artificial Intelligence (AI) has emerged as a powerful tool to optimize mobile money services, enhancing user experience, improving transaction efficiency, and fostering financial growth. This review explores the role of AI in mobile money optimization in West Africa, examining the latest trends in AI applications, such as predictive analytics, fraud detection, personalized financial services, and customer sup

APA, Harvard, Vancouver, ISO, and other styles

23

Darmawan, Deni, Dianni Risda, Jenuri, Dina Mayadiana Suwarma, Deti Rostika, and Komariah. "Implementation of VCDLN-Learning Multiplatform Through Mobile Communication Based on Artificial Intelligence in Asia." Revista de Gestão Social e Ambiental 18, no. 6 (2024): e06635. http://dx.doi.org/10.24857/rgsa.v18n6-147.

Full text

Abstract:

Purpose: This research is a continuation of the previous year, namely 2022, which functions to implement VCDLN through Mobile Communication-based TVUPI media which uses Android Mobile Phones in building a distance learning system in Asia. In doing so, it is carried out based on the work of Artificial Intelligence (AI). Method: This research uses the Research and Development method through the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Specifically, implementation involves assessments from teachers from Indonesia, Japan, and South Korea. Meanwhile, evaluation i

APA, Harvard, Vancouver, ISO, and other styles

24

Sivakumar, R. D. Assistant Professor Department of Computer Science, and S. Former Assistant Professor of Business Administration Brindha. "THE USE OF AI AND MACHINE LEARNING IN MOBILE MARKETING PERSONALIZATION." Indian Journal of Recent Development Systems for Digitization 1, no. 4 (2024): 10–21. https://doi.org/10.5281/zenodo.10807806.

Full text

Abstract:

<em>The integration of Artificial Intelligence (AI) and Machine Learning (ML) into mobile marketing strategies has become a transformative force in the quickly changing field of digital marketing, greatly improving the personalization of consumer experiences. The use of AI and ML technologies to customize marketing campaigns to specific customer preferences, behaviors, and real-time situations is explored in this study, which has the potential to completely transform how businesses and their mobile consumers are involved. It examine the ways in which artificial intelligence (AI) and machine le

APA, Harvard, Vancouver, ISO, and other styles

25

Yang, Qiang, and Feng Zhao. "Artificial Intelligence on Mobile Devices: An Introduction to the Special Issue." AI Magazine 34, no. 2 (2013): 9. http://dx.doi.org/10.1609/aimag.v34i2.2470.

Full text

Abstract:

This special issue of the AI Magazine is devoted to some exemplar works of AI on mobile devices. It includes four works that range from mobile activity recognition and air quality detection to machine translation and image compression.

APA, Harvard, Vancouver, ISO, and other styles

26

Sridhar Rao Muthineni. "AI in Mobile Health Apps: Transforming Chronic Disease Management." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 108–16. https://doi.org/10.32628/cseit25111212.

Full text

Abstract:

This article explores the transformative potential of artificial intelligence (AI) in mobile health (mHealth) applications for chronic disease management. The article examines how AI-powered mHealth apps are revolutionizing healthcare delivery through personalized treatment plans, real-time monitoring, predictive analytics, and virtual health coaching. The benefits of these technologies, including improved patient outcomes, enhanced engagement, cost reduction, and increased accessibility, are discussed in detail. However, we also critically analyze the challenges and limitations facing AI inte

APA, Harvard, Vancouver, ISO, and other styles

27

Ajlouni, Aseel, Amal Ibrahim, and Manal Hendawi. "Predicting Preservice Teachers' Intentions to Integrate AI-Based Mobile Applications in Special Education: Examining the Role of Technology Self-Efficacy and Attitudes." International Journal of Interactive Mobile Technologies (iJIM) 19, no. 07 (2025): 22–43. https://doi.org/10.3991/ijim.v19i07.53177.

Full text

Abstract:

Grounded in the Theory of Reasoned Action, this study aims to examine how technology self-efficacy and attitudes toward AI-based mobile applications predict preservice special education teachers’ (SETs) intentions to integrate these applications into teaching students with learning disabilities (SWLD). A stepwise multiple regression analysis assessed the impact of these variables on preservice teachers’ intentions. Data were collected from 173 preservice SETs. The results revealed that preservice teachers exhibited moderate levels of technology self-efficacy, intentions to integrate AI-based m

APA, Harvard, Vancouver, ISO, and other styles

28

S, Hariharan, and Adhithan J. "AI Enhanced Certificate Verification." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44539.

Full text

Abstract:

Starting a business in many regions involves obtaining approvals from various regulatory bodies, often resulting in delays due to manual processes, lack of system integration, and procedural inefficiencies. This paper proposes the development of a Smart Approval System, a web and mobile application designed to automate and streamline the business registration and approval process. The platform integrates with existing government portals such as GST, ROC, and MSME, automating compliance verification and significantly reducing processing time. It leverages blockchain technology to ensure data in

APA, Harvard, Vancouver, ISO, and other styles

29

Dahri, Nisar Ahmed, Waleed Mugahed Al-Rahmi, Khadijah Amru Alhashmi, and Farhan Bashir. "Enhancing Mobile Learning with AI-Powered Chatbots: Investigating ChatGPT’s Impact on Student Engagement and Academic Performance." International Journal of Interactive Mobile Technologies (iJIM) 19, no. 11 (2025): 17–38. https://doi.org/10.3991/ijim.v19i11.54643.

Full text

Abstract:

In mobile learning environments, after-class review strategies play a crucial role in reinforcing key concepts, summarizing knowledge, and enhancing subject mastery. However, students often encounter difficulties reviewing lessons due to limited support and immediate assistance, impacting their overall learning experience. This study examines the role of artificial intelligence (AI)-powered ChatGPT as a mobile learning tool to support pre-service students in academic performance, cognitive load reduction, perceived learning, trust, and motivation. Utilizing a quasi-experimental design, two cla

APA, Harvard, Vancouver, ISO, and other styles

30

Ahmed, Mohammed. "The application of Artificial Intelligence (AI) in Mobile Learning (M-learning)." Journal of Science and Technology 28, no. 1 (2023): 12–23. http://dx.doi.org/10.20428/jst.v28i1.2001.

Full text

Abstract:

This paper study the application of artificial intelligence (AI) in mobile learning (m-learning). In the this report study we discuss the meaning of Artificial intelligent AI and Mobile Learning Materials, make them clear to people and students. then, explain the significance of the application of Artificial Intelligence in mobile learning materials. The use of “artificial intelligence” in mobile learning Materials a opportunity to breakdown the traditional borders of learning in the classroom to make students-instructors regarding teaching classes fixed to the future m-learning market. This r

APA, Harvard, Vancouver, ISO, and other styles

31

Yadavali, Vinaysimha Varma. "AI-driven Performance Testing Framework for Mobile Applications." International Journal of Software Engineering & Applications 15, no. 6 (2024): 33–45. https://doi.org/10.5121/ijsea.2024.15603.

Full text

Abstract:

The rapid proliferation of mobile applications across diverse platforms has introduced unprecedented challenges in ensuring optimal performance under varying conditions. Traditional performance testing techniques often struggle to address the complexity of mobile environments, characterized by diverse devices, dynamic network conditions, and resource constraints. This paper presents an AI-Driven Performance Testing Framework for Mobile Applications, designed to revolutionize the way performance bottlenecks are identified and addressed. The proposed framework leverages artificial intelligence t

APA, Harvard, Vancouver, ISO, and other styles

32

Lakulu, Muhammad Modi, Ayad Shihan Izkair, Mohd Fadhil Abdul Muttalib, and Nur Azlan Zainuddin. "Understanding AI and Mobile Learning Adoption in Malaysian Universities: A UTAUT-Based Model." International Journal of Interactive Mobile Technologies (iJIM) 19, no. 11 (2025): 80–111. https://doi.org/10.3991/ijim.v19i11.52977.

Full text

Abstract:

This study explores the key determinants influencing the intention to adopt artificial intelligence (AI) applications and mobile learning in Higher Education Institutions (HEIs) in Malaysia. As AI technologies and mobile learning increasingly transform the higher education landscape, it is crucial to understand the specific factors driving their adoption. The research identifies five critical determinants—social influence (SI), effort expectancy (EE), hedonic motivations (HM), performance expectancy (PE), and consumer trust (TR)—that significantly impact the intention to use AI-powered mobile

APA, Harvard, Vancouver, ISO, and other styles

33

Armizi, Armizi, Fahrina Yustiasari Liriwati, Zulhimma Zulhimma, and Zulhammi Zulhammi. "Artificial Intelligence As An Innovation Mobile In Future Education." International Journal of Technology and Education Research 1, no. 03 (2023): 50–59. https://doi.org/10.63922/ijeter.v1i03.459.

Full text

Abstract:

This abstract discusses the role of AI as a driver of innovation in future education. AI is capable of analyzing big data and providing deep insights into student learning patterns, preferences, and individual needs. By leveraging advanced data analysis technologies, AI can construct a unique learning profile for each student, creating a personalized learning experience. In addition, AI also contributes to the development of innovative curriculum and learning materials. With its ability to identify students' weaknesses and strengths in real time, AI can develop relevant curricula and learning

APA, Harvard, Vancouver, ISO, and other styles

34

Waseem Syed. "Revolutionizing mobile platform engineering: AI-driven event logging for enhanced performance and cost efficiency." International Journal of Science and Research Archive 14, no. 1 (2025): 1221–31. https://doi.org/10.30574/ijsra.2025.14.1.0152.

Full text

Abstract:

Mobile platform engineering faces unique challenges that impact performance and operational costs. This article explores the revolutionary potential of AI-driven event-logging systems in addressing these issues. By transitioning from traditional to AI-enhanced logging techniques, we significantly enhance performance through machine learning-based log prioritization, generative AI for root cause analysis, and efficient local event chain caching. This study provides a comparative analysis of conventional methods versus AI-driven systems, highlighting substantial improvements in error detection,

APA, Harvard, Vancouver, ISO, and other styles

35

Wang, Yu. "Impact of Social Emotional Intelligence on Students' Interpersonal Relationships and Academic Development." Journal of Education and Educational Research 5, no. 2 (2023): 122–26. http://dx.doi.org/10.54097/jeer.v5i2.12552.

Full text

Abstract:

The paper explores the intersection of Artificial Intelligence (AI) and mobile homestay design, elucidating AI’s multifaceted role in optimizing space, fostering sustainability, and enhancing user experience within this specific context. Through a comprehensive literature review, theoretical framework development, and detailed case studies, the paper unveils the significant potential and challenges of implementing AI in mobile homestay design. The case studies spotlight AI’s ability to dynamically optimize small spaces, promote sustainable practices, and tailor user experiences, providing inva

APA, Harvard, Vancouver, ISO, and other styles

36

Roy, Palash, Sujan Sarker, Md Abdur Razzaque, et al. "AI-enabled mobile multimedia service instance placement scheme in mobile edge computing." Computer Networks 182 (December 2020): 107573. http://dx.doi.org/10.1016/j.comnet.2020.107573.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Nurbekova, Zhanat, Gaukhar Aimicheva, Talant Tolganbayuly, and Mahmud Mustafabek Gali. "Implementation of artificial intelligence in "ToqyzQumalaq" mobile logic game." "Bilim" scientific and pedagogical jornal 107, no. 4 (2024): 37–47. http://dx.doi.org/10.59941/2960-0642-2023-4-37-47.

Full text

Abstract:

This research paper delves into the implementation of artificial intelligence (AI) in the mobile logic game "ToqyzQumalaq," focusing on incorporating advanced algorithmic strategies to improve gameplay. The game's complexity and strategic depth present unique challenges in AI development, addressed through the integration of algorithms like Minimax, Alpha-Beta Pruning, Greedy, and Particle Swarm Optimization (PSO). The study emphasizes the creation of evaluation functions for these algorithms, ensuring AI efficiency and human-like decision-making. This aspect is vital for maintaining the strat

APA, Harvard, Vancouver, ISO, and other styles

38

Sushant Ubale. "On-Device AI Models: Advancing Privacy-First Machine Learning for Mobile Applications." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 61–68. https://doi.org/10.32628/cseit2410612397.

Full text

Abstract:

A revolutionary approach to mobile computing, on-device AI models solve important issues with privacy, latency, and network dependence. The development and optimization of lightweight AI models tailored for mobile devices are examined in this thorough article, which also looks at the delicate balance between user privacy and computing performance. The article looks into several topics, such as performance optimization tactics, effective layer design, privacy enhancement via local processing, and model compression techniques. To enable advanced AI capabilities on devices with limited resources,

APA, Harvard, Vancouver, ISO, and other styles

39

Sridhar Rao Muthineni. "Advancements in mobile AI: A machine learning-driven approach to enhance user experience and functionality." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 2536–46. https://doi.org/10.30574/wjarr.2024.24.3.3998.

Full text

Abstract:

Artificial intelligence (AI) and mobile technology have synergized to achieve remarkable advancements across various sectors, transforming user interactions and significantly boosting mobile device performance. This study examines how integrating machine learning (ML) techniques into mobile applications enhances user satisfaction, productivity, and security. By deploying predictive models and real-time analysis directly on mobile devices, our approach reduces latency and personalizes experiences to better adapt to user behavior. Key findings reveal that the Hybrid CNN-LSTM model achieves super

APA, Harvard, Vancouver, ISO, and other styles

40

Sridhar, Rao Muthineni. "Advancements in mobile AI: A machine learning-driven approach to enhance user experience and functionality." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 2536–46. https://doi.org/10.5281/zenodo.15234601.

Full text

Abstract:

Artificial intelligence (AI) and mobile technology have synergized to achieve remarkable advancements across various sectors, transforming user interactions and significantly boosting mobile device performance. This study examines how integrating machine learning (ML) techniques into mobile applications enhances user satisfaction, productivity, and security. By deploying predictive models and real-time analysis directly on mobile devices, our approach reduces latency and personalizes experiences to better adapt to user behavior. Key findings reveal that the Hybrid CNN-LSTM model achieves super

APA, Harvard, Vancouver, ISO, and other styles

41

Talib, Abdelmoumen, Mohamed Housni, and Mohamed Radid. "Utilizing M-Technologies for AI-Driven Career Guidance in Morocco: An Innovative Mobile Approach." International Journal of Interactive Mobile Technologies (iJIM) 17, no. 24 (2023): 173–88. http://dx.doi.org/10.3991/ijim.v17i24.44263.

Full text

Abstract:

In today’s interconnected world, the significance of effective career guidance has been magnified. With the advent of mobile technologies, e-orientation and artificial intelligence (AI)-orientation systems offer a promising avenue for personalized career guidance. This paper delves into the potential of transitioning from traditional e-orientation to advanced AI-orientation systems in Morocco by employing large language models (LLMs) such as LLAMA2, GPT, and PaLM. These LLMs, renowned for their human-like text generation and contextual understanding, are proposed as the backbone for AI chatbot

APA, Harvard, Vancouver, ISO, and other styles

42

Milić, Marko, Tanja Prodović, and Aleksandar Mitrović. "Accuracy evaluation of artificial intelligence-based mobile applications for assessing traumatic injury severity through photographic analysis: Simulation study." Medicinski glasnik Specijalne bolnice za bolesti štitaste žlezde i bolesti metabolizma 30, no. 97 (2025): 38–60. https://doi.org/10.5937/mgiszm2597038m.

Full text

Abstract:

Introduction: Rapid and accurate assessment of traumatic injury severity is crucial for effective triage and timely intervention in emergency medicine. Mobile applications based on artificial intelligence (AI) offer an objective assessment of injury severity through photographic analysis; however, their accuracy has not been sufficiently explored. Objectives: To evaluate the accuracy of available AI-based mobile applications for assessing traumatic injury severity in simulated conditions. Methods: This simulation study tested five mobile applications (DermaScore AI, SkinVision, Tissue Analytic

APA, Harvard, Vancouver, ISO, and other styles

43

Ravi, Jayavadivel. "AI Powered Delivery Post Office Identification System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47188.

Full text

Abstract:

Abstract— Postal services are still important in today’s world, but many people find it hard to access them easily using mobile technology. This project introduces an AI-powered Android application developed using Kotlin, designed to help users quickly find nearby post offices, submit complaints, and get instant support through a chatbot. The app uses geo- mapping and the Gemini AI chatbot to provide real-time help and location tracking. It also includes an admin panel for managing user feedback and updating post office information. The main goal is to make postal services more user-friendly,

APA, Harvard, Vancouver, ISO, and other styles

44

Sindhu, Ms B. S. "Incorporating Artificial Intelligence in Mobile Learning for Teaching Environmental Studies in Primary Classes: A Theoretical Exploration." Edulogic International Journal for Multi Disciplinary Research 01, no. 01 (2025): 151–65. https://doi.org/10.63665/eijmr.v01i01.14.

Full text

Abstract:

The integration of Artificial Intelligence (AI) in mobile learning environments offers a novel approach to enhance Environmental Studies (EVS) education in primary classrooms. This theoretical study explores how AI-driven mobile learning can potentially improve student engagement, foster personalized learning experiences, and promote environmental citizenship from a young age. Through a comprehensive review of existing literature and theoretical frameworks, this study evaluates the pedagogical benefits and practical implications of AI tools in delivering EVS content. The findings suggest that

APA, Harvard, Vancouver, ISO, and other styles

45

Andini, Wafik, Reina Dewi Masitoh, Cadeck Cristian Harati, Nova Noor Kamala Sari, and Viktor Handrianus Pranatawijaya. "IMPLEMENTASI SISTEM JUAL BELI KOPI BERBASIS MOBILE ANDROID DENGAN PENGGUNAAN API OPENAI UNTUK GENERATE DESKRIPSI PRODUK KOPI." JATI (Jurnal Mahasiswa Teknik Informatika) 8, no. 4 (2024): 7604–7. http://dx.doi.org/10.36040/jati.v8i4.9830.

Full text

Abstract:

Dalam era digital yang terus berkembang, informasi menjadi kunci utama dalam meningkatkan efisiensi operasional dan pengalaman pengguna dalam industri kopi. Kecerdasan buatan (AI) dan API OpenAI menjadi solusi inovatif untuk mengoptimalkan proses jual beli kopi berbasis mobile Android. Penelitian ini dilakukan dengan tujuan untuk mengimplementasikan sistem jual beli kopi berbasis mobile Android dengan memanfaatkan API OpenAI untuk menghasilkan deskripsi produk kopi secara otomatis. Metode penelitian yang digunakan meliputi studi literatur, pengumpulan data, desain sistem, dan implementasi sist

APA, Harvard, Vancouver, ISO, and other styles

46

Valentino, Muhammad Ryan. "Security Analysis Of AI-Based Mobile Application For Fraud." Jurnal Komputer Indonesia 2, no. 1 (2023): 9–18. http://dx.doi.org/10.37676/jki.v2i1.563.

Full text

Abstract:

Fraud in digital transactions is increasing along with the development of technology. To address this issue, artificial intelligence (AI)-based mobile applications have been used in detecting and preventing fraudulent acts. This research aims to analyze the security of AI-based mobile applications in the context of fraud detection, as well as identify the weaknesses and challenges faced. The results of the analysis show that while AI-based applications have great potential in detecting fraud, there are several security risks that must be addressed, including data privacy issues and attacks on

APA, Harvard, Vancouver, ISO, and other styles

47

Joy Nnenna Okolo, Adesola Abdul-Gafar Arowogbadamu, Samuel A. Adeniji, and Rhoda Kalu Tasie. "Federated learning for privacy-preserving data analytics in mobile applications." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 1220–32. https://doi.org/10.30574/wjarr.2025.26.1.1099.

Full text

Abstract:

The rapid adoption of mobile AI applications in areas such as healthcare, finance, and personalized services has raised significant concerns about data privacy and security. Traditional centralized machine learning (ML) models require mobile devices to transmit user data to cloud servers, posing risks of data breaches and regulatory non-compliance. Federated learning (FL) addresses these concerns by allowing decentralized AI model training directly on user devices, ensuring that raw data remains private and never leaves the device. However, FL faces security vulnerabilities and performance lim

APA, Harvard, Vancouver, ISO, and other styles

48

Lim, Jeong-A., and Yeongjin Kim. "DNN Model Partitioning in AI-Based Mobile Services." Journal of Korean Institute of Communications and Information Sciences 47, no. 6 (2022): 818–25. http://dx.doi.org/10.7840/kics.2022.47.6.818.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Vijay Bhasker Reddy Bhimanapati, Prof. (Dr.) Punit Goel, and A Renuka. "Effective Use of AI-Driven Third-Party Frameworks in Mobile Apps." Innovative Research Thoughts 7, no. 2 (2021): 84–96. http://dx.doi.org/10.36676/irt.v7.i2.1451.

Full text

Abstract:

The integration of Artificial Intelligence (AI) into mobile applications has significantly advanced the capabilities of modern software, enhancing user experiences through personalized, intelligent interactions. The effective use of AI-driven third-party frameworks has emerged as a pivotal strategy for developers aiming to leverage AI's potential without the need for extensive in-house expertise. This paper explores the impact and benefits of incorporating AI-driven third-party frameworks into mobile app development, focusing on their role in optimizing performance, enhancing user engagement,

APA, Harvard, Vancouver, ISO, and other styles

50

Constantinides, Marios, Edyta Paulina Bogucka, Sanja Scepanovic, and Daniele Quercia. "Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses." Proceedings of the ACM on Human-Computer Interaction 8, MHCI (2024): 1–28. http://dx.doi.org/10.1145/3676507.

Full text

Abstract:

Integrating Artificial Intelligence (AI) into mobile and wearables offers numerous benefits at individual, societal, and environmental levels. Yet, it also spotlights concerns over emerging risks. Traditional assessments of risks and benefits have been sporadic, and often require costly expert analysis. We developed a semi-automatic method that leverages Large Language Models (LLMs) to identify AI uses in mobile and wearables, classify their risks based on the EU AI Act, and determine their benefits that align with globally recognized long-term sustainable development goals; a manual validatio

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!