Suchergebnisse - INFORMATION SCIENCE::Information Science::Computing Methodologies::Software::Mobile Applications

  1. 1
  2. 2
  3. 3

    FIXDRIVE: Automatically Repairing Autonomous Vehicle Driving Behaviour for $0.08 per Violation von Sun, Yang, Poskitt, Christopher M., Wang, Kun, Sun, Jun

    ISSN: 1558-1225
    Veröffentlicht: IEEE 26.04.2025
    “… Autonomous Vehicles (AVs) are advancing rapidly, with Level-4 AVs already operating in real-world conditions. Current AVs, however, still lag behind human …”
    Volltext
    Tagungsbericht
  4. 4

    Mining and Recommending Mobile App Features using Data-driven Analytics von Ali, Ramsha

    ISSN: 2643-1572
    Veröffentlicht: ACM 27.10.2024
    “… Mobile app development necessitates the extraction of domain specific, essential and innovative features, aligning with user needs and market dynamics …”
    Volltext
    Tagungsbericht
  5. 5

    Detecting Smart Home Automation Application Interferences with Domain Knowledge von Wang, Tao, Chen, Wei, Liu, Liwei, Wu, Guoquan, Wei, Jun, Huang, Tao

    ISSN: 2643-1572
    Veröffentlicht: IEEE 11.09.2023
    “… However, the exceptional interactions between automation applications may result in interferences, such as conflicts and infinite loops, which cause undesirable consequences and even security and safety risks …”
    Volltext
    Tagungsbericht
  6. 6

    AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection von Huo, Yintong, Li, Yichen, Su, Yuxin, He, Pinjia, Xie, Zifan, Lyu, Michael R.

    ISSN: 2643-1572
    Veröffentlicht: IEEE 11.09.2023
    “… The rapid progress of modern computing systems has led to a growing interest in informative run-time logs …”
    Volltext
    Tagungsbericht
  7. 7

    Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps von Dong, Zikan, Zhao, Yanjie, Liu, Tianming, Wang, Chao, Xu, Guosheng, Xu, Guoai, Zhang, Lin, Wang, Haoyu

    ISSN: 2643-1572
    Veröffentlicht: ACM 27.10.2024
    “… The Android ecosystem is significantly challenged by fragmentation, arising from diverse system versions, device specifications, and manufacturer …”
    Volltext
    Tagungsbericht
  8. 8

    Design and performance attributes driving mobile travel application engagement von Fang, Jiaming, Zhao, Zhirong, Wen, Chao, Wang, Ruping

    ISSN: 0268-4012, 1873-4707
    Veröffentlicht: Kidlington Elsevier Ltd 01.08.2017
    Veröffentlicht in International journal of information management (01.08.2017)
    “… •Psychological engagement influences behavioral engagement directly and indirectly. Increasing people are using mobile applications (apps …”
    Volltext
    Journal Article
  9. 9

    Usability of Mobile Applications: A Systematic Literature Study von Weichbroth, Pawel

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2020
    Veröffentlicht in IEEE access (2020)
    “… Since the release of the first mobile devices, the usability of on-board applications has been the concern not only of software vendors but hardware manufacturers as well …”
    Volltext
    Journal Article
  10. 10

    TacDroid: Detection of Illicit Apps Through Hybrid Analysis of UI-Based Transition Graphs von Lu, Yanchen, Lin, Hongyu, He, Zehua, Xu, Haitao, Li, Zhao, Hao, Shuai, Wang, Liu, Wang, Haoyu, Ren, Kui

    ISSN: 1558-1225
    Veröffentlicht: IEEE 26.04.2025
    “… However, given the burgeoning trend wherein an increasing number of mobile apps achieve their core functionality through dynamic resource loading, depending solely on static analysis proves inadequate …”
    Volltext
    Tagungsbericht
  11. 11

    DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models von Yuan, Mingyue, Chen, Jieshan, Xing, Zhenchang, Quigley, Aaron, Luo, Yuyu, Luo, Tianqi, Mohammadi, Gelareh, Lu, Qinghua, Zhu, Liming

    ISSN: 1558-1225
    Veröffentlicht: IEEE 26.04.2025
    “… The rise of Large Language Models (LLMs) has streamlined frontend interface creation through tools like Vercel's v0, yet surfaced challenges in design quality …”
    Volltext
    Tagungsbericht
  12. 12

    An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge von Tundo, Alessandro, Mobilio, Marco, Ilager, Shashikant, Brandic, Ivona, Bartocci, Ezio, Mariani, Leonardo

    ISSN: 2643-1572
    Veröffentlicht: IEEE 11.09.2023
    “… The advent of edge devices dedicated to machine learning tasks enabled the execution of AI-based applications that efficiently process and classify the data acquired by the resource-constrained …”
    Volltext
    Tagungsbericht
  13. 13

    Continuance intention in gamified mobile applications: A study of behavioral inhibition and activation systems von Aydınlıyurt, Elif Tuğba, Taşkın, Nazım, Scahill, Shane, Toker, Ayşegül

    ISSN: 0268-4012, 1873-4707
    Veröffentlicht: Kidlington Elsevier Ltd 01.12.2021
    Veröffentlicht in International journal of information management (01.12.2021)
    “… (BIS), known as avoidance motivation, that are expected to influence individuals’ post-adoption behaviors in gamified mobile applications …”
    Volltext
    Journal Article
  14. 14

    Fairquant: Certifying and Quantifying Fairness of Deep Neural Networks von Kim, Brian Hyeongseok, Wang, Jingbo, Wang, Chao

    ISSN: 1558-1225
    Veröffentlicht: IEEE 26.04.2025
    “… We propose a method for formally certifying and quantifying individual fairness of deep neural networks (DNN). Individual fairness guarantees that any two …”
    Volltext
    Tagungsbericht
  15. 15

    A Data-driven Approach for Mining Software Features based on Similar App Descriptions and User Reviews Analysis von Alam, Khubaib Amjad, Ali, Ramsha, Kamran, Zyena, Fatima, Sabeen, Inayat, Irum

    ISSN: 2643-1572
    Veröffentlicht: ACM 27.10.2024
    “… Mobile app development necessitates extracting domain-specific, essential, and innovative features that align with user needs and market trends …”
    Volltext
    Tagungsbericht
  16. 16

    RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System von Hernandez-Cano, Alejandro, Zhuo, Cheng, Yin, Xunzhao, Imani, Mohsen

    Veröffentlicht: IEEE 05.12.2021
    “… Machine learning (ML) algorithms are key enablers to effectively assimilate and extract information from many generated data in the Internet of Things …”
    Volltext
    Tagungsbericht
  17. 17

    Explaining user experience in mobile gaming applications: an fsQCA approach von Pappas, Ilias O, Mikalef, Patrick, Giannakos, Michail N, Kourouthanassis, Panos E

    ISSN: 1066-2243, 2054-5657
    Veröffentlicht: Bradford Emerald Publishing Limited 01.04.2019
    Veröffentlicht in Internet research (01.04.2019)
    “… Purpose In the complex ecosystem of mobile applications multiple factors have been used to explain users …”
    Volltext
    Journal Article
  18. 18

    Group anomaly detection in mobile app usages: A spatiotemporal convex hull methodology von Blaise, Agathe, Bouet, Mathieu, Conan, Vania, Secci, Stefano

    ISSN: 1389-1286, 1872-7069
    Veröffentlicht: Amsterdam Elsevier B.V 24.10.2022
    Veröffentlicht in Computer networks (Amsterdam, Netherlands : 1999) (24.10.2022)
    “… Analysing mobile apps communications can unleash significant information on both the communication infrastructure state and the operations of mobile computing services …”
    Volltext
    Journal Article
  19. 19

    TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance von Gill, Waris, Anwar, Ali, Gulzar, Muhammad Ali

    ISSN: 1558-1225
    Veröffentlicht: IEEE 26.04.2025
    “… In Federated Learning, clients train models on local data and send updates to a central server, which aggregates them into a global model using a fusion …”
    Volltext
    Tagungsbericht
  20. 20

    Mobile Cadastral Application with Open-Source Software in Colombia von Mora-Navarro, Gaspar, Femenia-Ribera, Carmen, Terol, Enric, Quiza-Neuto, Cristhian

    ISSN: 2220-9964, 2220-9964
    Veröffentlicht: Basel MDPI AG 01.03.2025
    Veröffentlicht in ISPRS international journal of geo-information (01.03.2025)
    “… with indirect methods, to accelerate the capture of cadastral data. The experts were asked about the design of a data capture system, using a mobile application, to acquire …”
    Volltext
    Journal Article