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...
Bacterial image analysis using multi-task deep learning approaches for clinical microscopy [0.03%]
基于临床显微镜的多任务深度学习细菌图像分析方法
Shuang Yee Chin,Jian Dong,Khairunnisa Hasikin et al.
Shuang Yee Chin et al.
Background: Bacterial image analysis plays a vital role in various fields, providing valuable information and insights for studying bacterial structural biology, diagnosing and treating infectious diseases caused by patho...
Using machine learning to analyze mental health in distance education during the COVID-19 pandemic: an opinion study from university students in Mexico [0.03%]
利用机器学习分析新冠肺炎疫情期间墨西哥大学生远程教育中的心理健康：一项意见调查研究
Roberto Angel Melendez-Armenta,Giovanni Luna Chontal,Sandra Guadalupe Garcia Aburto
Roberto Angel Melendez-Armenta
In times of lockdown due to the COVID-19 pandemic, it has been detected that some students are unable to dedicate enough time to their education. They present signs of frustration and even apathy towards dropping out of school. In addition,...
Hong Huang,Junfeng Man,Luyao Li et al.
Hong Huang et al.
In this work, we focus on solving the problem of timbre transfer in audio samples. The goal is to transfer the source audio's timbre from one instrument to another while retaining as much of the other musical elements as possible, including...
Yang Li,Haiyan Wu
Yang Li
In order to analyze the influence of deep learning model on detecting denial-of-service (DoS) attacks, this article first examines the concepts and attack strategies of DoS assaults before looking into the present detection methodologies fo...
An enhanced algorithm for semantic-based feature reduction in spam filtering [0.03%]
一种语义特征削减的反垃圾邮件算法
María Novo-Lourés,Reyes Pavón,Rosalía Laza et al.
María Novo-Lourés et al.
With the advent and improvement of ontological dictionaries (WordNet, Babelnet), the use of synsets-based text representations is gaining popularity in classification tasks. More recently, ontological dictionaries were used for reducing dim...
Davide Alessandro Coccomini,Andrea Esuli,Fabrizio Falchi et al.
Davide Alessandro Coccomini et al.
In recent years, the field of artificial intelligence has witnessed a remarkable surge in the generation of synthetic images, driven by advancements in deep learning techniques. These synthetic images, often created through complex algorith...