Enhancing reliable and energy-efficient UAV communications with RIS and deep reinforcement learning [0.03%]
基于深强化学习和智能反射表面的可靠且节能的无人机通信增强技术
Wasim Ahmad,Umar Islam,Abdulkadhem A Abdulkadhem et al.
Wasim Ahmad et al.
The rapid growth in wireless communication demands has led to a surge in research on technologies capable of enhancing communication reliability, coverage, and energy efficiency. Among these, uncrewed aerial vehicles (UAV) and reconfigurabl...
A robust detect and describe framework for object recognition in early childhood education [0.03%]
一种用于儿童教育中物体识别的稳健检测描述框架
Lan Lv,Suhui Yao
Lan Lv
Preschool education plays a vital role in the harmonious development of an individual. Understanding basic shapes, colors, and letters at an early age lays a strong foundation for academic excellence and emotional growth. At an early childh...
Automated lung cancer diagnosis from chest X-ray images using convolutional neural networks [0.03%]
基于卷积神经网络的胸部X光片肺癌诊断方法研究
Aya Aboelghiet,Samaa M Shohieb,Amira Rezk et al.
Aya Aboelghiet et al.
Background/objectives: Lung cancer is the leading cause of cancer-related deaths worldwide. While computed tomography (CT) scans provide more comprehensive medical information than chest X-rays (CXR), the high cost and li...
Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions [0.03%]
智慧城市多目标优化的系统性综述：算法、挑战及未来方向
YiFan Chen,Weng Howe Chan,Eileen Lee Ming Su et al.
YiFan Chen et al.
With the growing complexity and interdependence of urban systems, multi-objective optimization (MOO) has become a critical tool for smart-city planning, sustainability, and real-time decision-making. This article presents a systematic liter...
Systematic review: progress in EEG-based speech imagery brain-computer interface decoding and encoding research [0.03%]
系统综述：基于EEG的语义想象脑机接口解码与编码研究进展
Ke Su,Liang Tian
Ke Su
This article systematically reviews the latest developments in electroencephalogram (EEG)-based speech imagery brain-computer interface (SI-BCI). It explores the brain connectivity of SI-BCI and reveals its key role in neural encoding and d...
Periodontitis bone loss detection in panoramic radiographs using modified YOLOv7 [0.03%]
基于改进的YOLOv7的全景片牙周骨丢失检测方法
Mohammed Gamal Ragab,Said Jadid Abdulkadir,Nadhem Qaid et al.
Mohammed Gamal Ragab et al.
Periodontitis is a common dental disease that results in tooth loss, if not diagnosed and treated in time. However, diagnosing bone loss due to periodontitis from panoramic radiographs is a time-consuming and error-prone process, requiring ...
Regularized multi-path XSENet ensembler for enhanced student performance prediction in higher education [0.03%]
正则化多路径XSENet集成器，用于提高高等教育中学生表现预测的准确性
Eman Ali Aldhahri,Abdulwahab Ali Almazroi,Nasir Ayub
Eman Ali Aldhahri
With the rapid expansion of educational data, institutions face increasing pressure to adopt advanced predictive models that can enhance academic planning, resource allocation, and student support. This study presents a novel educational da...
Financial trading decision model based on deep reinforcement learning for smart agricultural management [0.03%]
基于深度强化学习的智能农业管理金融交易决策模型
Di Fan,Nazrul Hisyam Ab Razak,Wei Ni Soh
Di Fan
This study proposes a decision-making model based on deep reinforcement learning (DRL) for agricultural financial transactions, addressing core challenges such as significant data noise, strong time-series dependence, and limited strategy a...
International trade market forecasting and decision-making system: multimodal data fusion under meta-learning [0.03%]
基于元学习的国际贸易市场预测与决策系统：多模态数据融合
Yiming Bai,Muhammad Asif
Yiming Bai
Traditional market analysis tools primarily rely on unidimensional data, such as historical trading records and price trends. However, these data are often insufficient to reflect the actual state of the market fully. This study introduces ...
Sara Benoumhani,Areej Al-Wabil,Niddal Imam et al.
Sara Benoumhani et al.
Polygenic risk scores (PRSs) are emerging as powerful tools for predicting individual susceptibility to various diseases and traits based on genetic variants. These scores integrate information from multiple genetic markers associated with ...