• Suche: Machine Learning for iOS Developers

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1

Opportunities and Challenges for iOS Developers in Exploring the Integration of Augmented Reality Technologies
IJESAT - International journal of Engineering sciences and Advanced Technology

Augmented Reality (AR),...
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4

Machine Learning for iOS Developers
Abhishek Mishra ; Abhishek Mishra

Buch
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5

Divergent deceptions: comparative analysis of Deceptive Patterns in iOS and Android apps.
Li, Wanda ; Flatla, David R. ; Arndt, Felix
Behaviour & Information Technology. Oct2025, Vol. 44 Issue 16, p3879-3908. 30p.

Mobile apps Data analysis Machine learning User interfaces Pearson correlation (Sta... Disease prevalence …
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6

Follow Your Heart or Listen to Users? The Case of Mobile App Design.
Karanam, Subrahmanyam Aditya ; Agarwal, Ashish ; Barua, Anitesh
Information Systems Research. Sep2025, Vol. 36 Issue 3, p1846-1870. 25p.

MOBILE app development CUSTOMER feedback PRODUCT attributes NATURAL language process... ECONOMIC competition APPLICATION stores …
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7

A survey of malware detection using deep learning
Bensaoud, Ahmed ; Kalita, Jugal ; Bensaoud, Mahmoud
In Machine Learning with Applications June 2024 16

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8

A developer-oriented recommender model for the app store: A predictive network analytics approach
Davazdahemami, Behrooz ; Kalgotra, Pankush ; Zolbanin, Hamed M. ; et al.
In Journal of Business Research March 2023 158

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9

DeepReality: An open source framework to develop AI-based augmented reality applications
Pierdicca, Roberto ; Tonetto, Flavio ; Paolanti, Marina ; et al.
In Expert Systems With Applications 1 September 2024 249 Part A

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10

Copycats vs. Original Mobile Apps: A Machine Learning Copycat-Detection Method and Empirical Analysis.
Quan Wang ; Beibei Li ; Singh, Param Vir
Information Systems Research. Jun2018, Vol. 29 Issue 2, p273-291. 19p.

APPLICATION stores MOBILE apps MACHINE learning COPYING IOS (Operating system)
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11

Design for Social Sharing: The Case of Mobile Apps.
Karanam, Subrahmanyam Aditya ; Agarwal, Ashish ; Barua, Anitesh
Information Systems Research. Jun2023, Vol. 34 Issue 2, p721-743. 23p.

DEEP learning MOBILE apps MOBILE operating systems X Corp.
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12

Adaptable mobile cloud computing environment with code transfer based on machine learning
Nawrocki, P. ; Sniezynski, B. ; Slojewski, H.
In Pervasive and Mobile Computing July 2019 57:49-63

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13

Apple WWDC 2025 Scheduled for June 9 to 13: Here's What to Expect From iOS 19 and How to Watch the Keynote Live.
CIO&Leader. 5/21/2025, pN.PAG-N.PAG. 1p.

VIRTUAL conferences CHIEF executive officers MACHINE learning SPECIAL days BLOGS
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14

A First Look at On-device Models in iOS Apps.
Hu, Han ; Huang, Yujin ; Chen, Qiuyuan ; et al.
ACM Transactions on Software Engineering & Methodology; Jan2024, Vol. 33 Issue 1, p1-30, 30p

DEEP learning MOBILE operating systems MOBILE apps SOCIAL media
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15

iOS 27 Leaks: Apple Prepares Two Big Upgrades For Next Year.
CIO&Leader. 11/24/2025, pN.PAG-N.PAG. 1p.

HIGH technology industri... ARTIFICIAL intelligence SOFTWARE upgrades MOBILE operating systems INTELLIGENT personal ass... MACHINE learning …
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16

iOS 17: THESE FIVE NEW FEATURES MAKE US EAGER TO UPGRADE.
CROSS, JASON
Macworld - Digital Edition. Sep2023, Vol. 40 Issue 9, p62-66. 5p. 6 Color Photographs.

LOCAL delivery services APPLE Watch TELEPHONE numbers MACHINE learning
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17

A First Look at On-device Models in iOS Apps
Hu, Han ; Huang, Yujin ; Chen, Qiuyuan ; et al.

Computer Science - Softw...
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20

ATLAS: Automatically Detecting Discrepancies Between Privacy Policies and Privacy Labels
Jain, Akshath ; Rodriguez, David ; del Alamo, Jose M. ; et al.

Computer Science - Crypt... Computer Science - Artif... Computer Science - Machi...
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