China Mobile (China)

A Machine Learning Model With Temporal Validation for Predicting Walking Ability in Nontraumatic Spinal Cord Injury

BACKGROUND: Walking ability is the priority for spinal cord injury (SCI) patients. Nontraumatic SCI (NTSCI) is increasing with aging populations, yet its prognosis remains understudied. Early predictionF using admission clinical indicators could facilitate decision-making and reh...

LOAD: Enabling Low-Bit Group Quantization for Vision Transformers via Adaptive Data Formats

Vision Transformers (ViTs) achieve state-of-the-art performance across various vision tasks but pose significant deployment challenges due to their high computational complexity and memory footprint. Post-training quantization (PTQ) offers an efficient, retraining-free compressio...

Enhancing flood resilience in critical communication infrastructures: empirical analysis and software-defined architecture design

Mobile communication systems serve as a lifeline for disaster response, yet catastrophic floods—exemplified by the Beijing 23·7 and Zhengzhou 7·20 events—have exposed profound vulnerabilities that trigger cascading failures in emergency command and rescue operations. While existi...

DHCBT: a digital human psychological counseling system with a CBT multi-agent framework

Academic stress is a major risk factor for mental health problems among college students. Existing online counseling systems often face three limitations: limited user trust in virtual interactions, insufficient adaptation to academic-stress scenarios, and inconsistent profession...

RGB-based line segment detection and processing for fabric corner recognition and robotic grasping

Abstract To address the difficulty of deploying complex grasping point detection methods in fabric unfolding and folding tasks for smart homes and automated production lines, this paper presents an RGB-based robotic grasping system for fabric corner recognition, targeting small-...

Dual-branch network for threat analysis of external-force hazards on power transmission lines

External-force hazards have become a major cause of faults in overhead transmission lines. Existing studies focus on hazard detection, but do not localize the transmission-line safety region or analyze whether a detected target is threatening the line. To address this issue, we p...

Programmable Metastable Engineering of FeNi 3 –High‐Entropy Oxide Heterostructures for Ultrawideband Electromagnetic Absorption

ABSTRACT Electromagnetic wave absorbing (EWA) materials remain limited by steady‐state thermodynamic design, restricting the use of non‐equilibrium thermodynamic–kinetic competition to tailor intrinsic electromagnetic properties. Here, we report a carbothermal‐reduction‐driven me...

Low-light image enhancement with retinex theory optimized by improved whale optimization algorithm

Abstract To solve the problems of insufficient contrast, blurred details, and color distortion in low-light image Enhancement, this paper proposes a Low-Light Image Enhancement with Retinex Theory Optimized by Improved Whale Optimization Algorithm(WOA). The method innovatively em...

Transformer-Guided Interference-Aware 3D Path Planning for UAV Navigation in Urban Voxel Environments

Urban unmanned aerial vehicle (UAV) navigation may require path planning that accounts for geometric obstacles and spatially varying communication-related risk. This paper presents a transformer-guided interference-aware 3D path-planning method for urban voxel environments. A 3D...

Qudit W and Greenberger–Horne–Zeilinger states on a two-photon chip

Abstract High-dimensional quantum entangled states exhibit unique properties. While generalizations like qudit Bell, Greenberger–Horne–Zeilinger (GHZ), and Cluster states have been studied, the qudit W states remain underexplored. We discover that a superposition of qudit Dicke s...

Security in the Fine‐Tuning Lifecycle of Large Language Models: Threats, Defenses, Evaluation, and Future Directions

ABSTRACT Background Fine‐tuning has become a core mechanism for adapting pretrained Large Language Models (LLMs) to downstream tasks. However, the dependence of fine‐tuning on training data, parameter update mechanisms, and reusable components provides entry points for attackers....

Efficient Real-Time Monitoring of Vibrations Transmitted to the Human Body

Abstract Mechanical vibrations transmitted to the human body, particularly in sectors such as transportation, construction, and agriculture, represent a serious occupational hazard. Whole-body vibrations (WBVs), in particular, have been linked to musculoskeletal disorders and imp...

RSP-net: an effective framework for automated root cause location in wireless network optimization scene

Currently, mobile communication network has become a very popular way to provide communication service for individual, industry and commerce. In wireless environment, the base stations provide the wireless access function for users, which play a key role in the communication syst...

Optimizing one-dimensional bin packing for conveyor belt logistics via pointer-network-based A2C and heuristics

The one-dimensional Bin Packing Problem (1D-BPP) poses significant challenges in logistics, particularly for optimizing item packing sequences in warehouse conveyor belt systems. This paper proposes a Deep Reinforcement Learning (DRL) approach using Advantage Actor-Critic (A2C) i...