The optimization and operation of multi-energy-coupled microgrids by the improved fireworks algorithm-shuffled frog-leaping algorithm [0.03%]
改进的烟花算法- shuffled蛙跳算法在多能源耦合微电网优化运行中的应用研究
Xubo Yue,Jing Zhang,Junhui Guo et al.
Xubo Yue et al.
This study aims to address optimization and operational challenges in multi-energy coupled microgrids to enhance system stability and reliability. After analyzing the requirements of such systems within comprehensive energy systems, an impr...
Survival analysis in breast cancer: evaluating ensemble learning techniques for prediction [0.03%]
乳腺癌生存分析：评估集成学习技术在预测中的应用
Gonca Buyrukoğlu
Gonca Buyrukoğlu
Breast cancer is most commonly faced with form of cancer amongst women worldwide. In spite of the fact that the breast cancer research and awareness have gained considerable momentum, there is still no one treatment due to disease heterogen...
Pashto script and graphics detection in camera captured Pashto document images using deep learning model [0.03%]
基于深度学习模型的相机拍摄帕什托文档图像中帕什托文字和图形检测
Khan Bahadar,Riaz Ahmad,Khursheed Aurangzeb et al.
Khan Bahadar et al.
Layout analysis is the main component of a typical Document Image Analysis (DIA) system and plays an important role in pre-processing. However, regarding the Pashto language, the document images have not been explored so far. This research,...
Ethery Ramirez-Robles,Oleg Starostenko,Vicente Alarcon-Aquino
Ethery Ramirez-Robles
Background: Autonomous driving is a growing research area that brings benefits in science, economy, and society. Although there are several studies in this area, currently there is no a fully autonomous vehicle, particula...
Integration of simulated annealing into pigeon inspired optimizer algorithm for feature selection in network intrusion detection systems [0.03%]
模拟退火集成鸽群优化算法在网络入侵检测系统中的特征选择中应用研究
Wanwei Huang,Haobin Tian,Sunan Wang et al.
Wanwei Huang et al.
In the context of the 5G network, the proliferation of access devices results in heightened network traffic and shifts in traffic patterns, and network intrusion detection faces greater challenges. A feature selection algorithm is proposed ...
Single-image super-resolution reconstruction based on phase-aware visual multi-layer perceptron (MLP) [0.03%]
基于相位感知视觉多层感知器的单图像超分辨率重建方法
Changteng Shi,Mengjun Li,Zhiyong An
Changteng Shi
Many advanced super-resolution reconstruction methods have been proposed recently, but they often require high computational and memory resources, making them incompatible with low-power devices in reality. To address this problem, we propo...
Multimodal multi-objective optimization algorithm based on hierarchical environment selection strategy [0.03%]
基于分层环境选择策略的多模态多目标优化算法
Xiao Wang,Dan Wang,Jincheng Zhou
Xiao Wang
The article proposes an optimization algorithm using a hierarchical environment selection strategyto solve the deficiencies of current multimodal multi-objective optimization algorithms in obtaining the completeness and convergence of Paret...
Backlight and dim space object detection based on a novel event camera [0.03%]
基于新型事件相机的背光及暗空间目标检测方法研究
Xiaoli Zhou,Chao Bei
Xiaoli Zhou
Background: For space object detection tasks, conventional optical cameras face various application challenges, including backlight issues and dim light conditions. As a novel optical camera, the event camera has the adva...
Early detection of abiotic stress in plants through SNARE proteins using hybrid feature fusion model [0.03%]
基于混合特征融合模型的植物SNARE蛋白非生物胁迫早期检测方法
Bhargavi T,Sumathi D
Bhargavi T
Agriculture is the main source of livelihood for most of the population across the globe. Plants are often considered life savers for humanity, having evolved complex adaptations to cope with adverse environmental conditions. Protecting agr...
SentinelFusion based machine learning comprehensive approach for enhanced computer forensics [0.03%]
基于 SentinelFusion 的机器学习综合方法在增强型计算机取证中的应用
Umar Islam,Abeer Abdullah Alsadhan,Hathal Salamah Alwageed et al.
Umar Islam et al.
In the rapidly evolving landscape of modern technology, the convergence of blockchain innovation and machine learning advancements presents unparalleled opportunities to enhance computer forensics. This study introduces SentinelFusion, an e...