Výsledky vyhľadávania - INFORMATION SCIENCE::Information Science::Computing Methodologies::Software::Mobile Applications

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

    ISSN: 1558-1225
    Vydavateľské údaje: 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…”
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    Mining and Recommending Mobile App Features using Data-driven Analytics Autor Ali, Ramsha

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 27.10.2024
    “…Mobile app development necessitates the extraction of domain specific, essential and innovative features, aligning with user needs and market dynamics…”
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    Detecting Smart Home Automation Application Interferences with Domain Knowledge Autor Wang, Tao, Chen, Wei, Liu, Liwei, Wu, Guoquan, Wei, Jun, Huang, Tao

    ISSN: 2643-1572
    Vydavateľské údaje: 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…”
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    AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection Autor Huo, Yintong, Li, Yichen, Su, Yuxin, He, Pinjia, Xie, Zifan, Lyu, Michael R.

    ISSN: 2643-1572
    Vydavateľské údaje: IEEE 11.09.2023
    “…The rapid progress of modern computing systems has led to a growing interest in informative run-time logs…”
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    Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps Autor Dong, Zikan, Zhao, Yanjie, Liu, Tianming, Wang, Chao, Xu, Guosheng, Xu, Guoai, Zhang, Lin, Wang, Haoyu

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 27.10.2024
    “…The Android ecosystem is significantly challenged by fragmentation, arising from diverse system versions, device specifications, and manufacturer…”
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    Design and performance attributes driving mobile travel application engagement Autor Fang, Jiaming, Zhao, Zhirong, Wen, Chao, Wang, Ruping

    ISSN: 0268-4012, 1873-4707
    Vydavateľské údaje: Kidlington Elsevier Ltd 01.08.2017
    “…•Psychological engagement influences behavioral engagement directly and indirectly. Increasing people are using mobile applications (apps…”
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    Usability of Mobile Applications: A Systematic Literature Study Autor Weichbroth, Pawel

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2020
    Vydané v 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…”
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    TacDroid: Detection of Illicit Apps Through Hybrid Analysis of UI-Based Transition Graphs Autor Lu, Yanchen, Lin, Hongyu, He, Zehua, Xu, Haitao, Li, Zhao, Hao, Shuai, Wang, Liu, Wang, Haoyu, Ren, Kui

    ISSN: 1558-1225
    Vydavateľské údaje: 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…”
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    DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models Autor Yuan, Mingyue, Chen, Jieshan, Xing, Zhenchang, Quigley, Aaron, Luo, Yuyu, Luo, Tianqi, Mohammadi, Gelareh, Lu, Qinghua, Zhu, Liming

    ISSN: 1558-1225
    Vydavateľské údaje: 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…”
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    An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge Autor Tundo, Alessandro, Mobilio, Marco, Ilager, Shashikant, Brandic, Ivona, Bartocci, Ezio, Mariani, Leonardo

    ISSN: 2643-1572
    Vydavateľské údaje: 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…”
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    Continuance intention in gamified mobile applications: A study of behavioral inhibition and activation systems Autor Aydınlıyurt, Elif Tuğba, Taşkın, Nazım, Scahill, Shane, Toker, Ayşegül

    ISSN: 0268-4012, 1873-4707
    Vydavateľské údaje: Kidlington Elsevier Ltd 01.12.2021
    “… (BIS), known as avoidance motivation, that are expected to influence individuals’ post-adoption behaviors in gamified mobile applications…”
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    Fairquant: Certifying and Quantifying Fairness of Deep Neural Networks Autor Kim, Brian Hyeongseok, Wang, Jingbo, Wang, Chao

    ISSN: 1558-1225
    Vydavateľské údaje: 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…”
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    A Data-driven Approach for Mining Software Features based on Similar App Descriptions and User Reviews Analysis Autor Alam, Khubaib Amjad, Ali, Ramsha, Kamran, Zyena, Fatima, Sabeen, Inayat, Irum

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 27.10.2024
    “…Mobile app development necessitates extracting domain-specific, essential, and innovative features that align with user needs and market trends…”
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    RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System Autor Hernandez-Cano, Alejandro, Zhuo, Cheng, Yin, Xunzhao, Imani, Mohsen

    Vydavateľské údaje: 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…”
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    Explaining user experience in mobile gaming applications: an fsQCA approach Autor Pappas, Ilias O, Mikalef, Patrick, Giannakos, Michail N, Kourouthanassis, Panos E

    ISSN: 1066-2243, 2054-5657
    Vydavateľské údaje: Bradford Emerald Publishing Limited 01.04.2019
    Vydané v Internet research (01.04.2019)
    “…Purpose In the complex ecosystem of mobile applications multiple factors have been used to explain users…”
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    Group anomaly detection in mobile app usages: A spatiotemporal convex hull methodology Autor Blaise, Agathe, Bouet, Mathieu, Conan, Vania, Secci, Stefano

    ISSN: 1389-1286, 1872-7069
    Vydavateľské údaje: Amsterdam Elsevier B.V 24.10.2022
    “…Analysing mobile apps communications can unleash significant information on both the communication infrastructure state and the operations of mobile computing services…”
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    TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance Autor Gill, Waris, Anwar, Ali, Gulzar, Muhammad Ali

    ISSN: 1558-1225
    Vydavateľské údaje: 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…”
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    Mobile Cadastral Application with Open-Source Software in Colombia Autor Mora-Navarro, Gaspar, Femenia-Ribera, Carmen, Terol, Enric, Quiza-Neuto, Cristhian

    ISSN: 2220-9964, 2220-9964
    Vydavateľské údaje: Basel MDPI AG 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…”
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