Latest Articles for Mobile Technology

A new method improves mobile edge computing performance through efficient resource management.

A new framework improves learning from limited data in federated environments.

MimiC enhances federated learning by addressing the dropout issue for better model accuracy.

Combining DNN surgery and edge computing enhances mobile device processing capabilities.

MobileSAM retains functionality while optimizing for mobile devices.

Learn how MPUE and beamforming improve 5G connectivity and performance.

A new approach enhances activity recognition accuracy using context and semantic loss.

Examining pretrained transformers for multitask learning and communication efficiency in federated settings.

QBitOpt improves neural network performance by optimizing bitwidth allocations efficiently.

Study uses mobile data to analyze mood trends and their implications for mental health.

PLiNIO simplifies deep neural network optimization for mobile and edge devices.

Exploring how user personality affects engagement strategies in mobile apps.

A new model safeguards user movements while ensuring data utility.

Learn how to predict VoIP traffic to enhance network performance.

Federated learning enhances privacy while improving model training on mobile devices.

An overview of Android malware types and analysis methods to enhance security.

DroidDissector helps researchers identify Android malware effectively using static and dynamic analysis.

SYENet offers real-time solutions for low-level vision tasks on mobile devices.

A method improving mobile image processing through optimized quantization.

A new method enhances the use of large language models on mobile devices.

New method optimizes MIMO channels using reconfigurable intelligent surfaces.

MONDEO combats botnet malware using effective detection methods for mobile devices.

New methods cut memory use for large language models on mobile devices.

A new method improves channel predictions for mobile communication environments.

A method to adjust DNN performance in real-time for efficiency.

This study presents methods for real-time pedestrian recognition using limited processing power.

MALITE offers an efficient way to detect malware on low-resource devices.

A new approach to object tracking with efficient transformer architecture for resource-limited devices.

A new approach improves generative tasks in mobile applications while ensuring user data security.

A proposed system enhances mobile networks for multimedia content delivery.

Exploring ways to improve data sharing while ensuring user privacy.

Learn how new techniques improve mobile data transfer during handovers.

Improving task scheduling strategies for mobile applications using deep reinforcement learning.

A new approach to improve Vision Transformers for mobile devices.

NOMA presents unique security risks due to shared channels among multiple users.

A new method reduces computation costs in deep neural networks while maintaining accuracy.

A new approach to improve object tracking in augmented reality using mobile devices.

A new approach enhances federated learning for diverse client data.

New families of constant-amplitude sequences enhance wireless communication efficiency.

A new approach streamlines model design for devices with limited computing power.