Reinforcement Learning-Based Intelligent Path Planning for Optimal Navigation in Dynamic Environments [0.03%]
基于强化学习的智能路径规划在动态环境中的最优导航问题研究
Anil Kumar Yadav,Purushottam Sharma,Xiaochun Cheng et al.
Anil Kumar Yadav et al.
Path selection and planning are crucial for autonomous mobile robots (AMRs) to navigate efficiently and avoid obstacles. Traditional methods rely on analytical search to identify the shortest distance. However, Reinforcement learning enhanc...
Differential Neural Networks Prediction Using Slow and Fast Hybrid Learning: Application to Prognosis of Infectionsand Deaths of COVID-19 Dynamics [0.03%]
基于慢速和快速混合学习的差分神经网络预测及其在COVID-19感染和死亡人数预报中的应用
A Poznyak,I Chairez,A Anyutin
A Poznyak
This essay discusses a potential method for predicting the behavior of various physical processes and uses the COVID-19 outbreak to demonstrate its applicability. This study assumes that the current data set reflects the output of a dynamic...
An Optimal Stacked ResNet-BiLSTM-Based Accurate Detection and Classification of Genetic Disorders [0.03%]
一种基于最优ResNet-BiLSTM的基因病准确检测与分类方法
K Nandhini,G Tamilpavai
K Nandhini
Gene is located inside the nuclease and the genetic data is contained in deoxyribonucleic acid (DNA). A person's gene count ranges from 20,000 to 30,000. Even a minor alteration to the DNA sequence can be harmful if it affects the cell's fu...
A Rumor Detection Model Incorporating Propagation Path Contextual Semantics and User Information [0.03%]
一种融合传播路径情境语义和用户信息的谣言检测模型
Lin Bai,Xueming Han,Caiyan Jia
Lin Bai
Currently, social media is full of rumors. To stop rumors from spreading further, rumor detection has received increasing attention. Recent rumor detection methods treat all propagation paths and all nodes on the paths as equally important,...
Improving the Polarity of Text through word2vec Embedding for Primary Classical Arabic Sentiment Analysis [0.03%]
通过word2vec嵌入改进文本极性用于基础古典阿拉伯语情感分析
Nour Elhouda Aoumeur,Zhiyong Li,Eissa M Alshari
Nour Elhouda Aoumeur
Over the past decade, Sentiment analysis has attracted significant researcher attention. Despite a huge number of studies in this field, Sentiment analysis of authors' books (classical Arabic) with extracting the embedding features has not ...
Shay Lapid,Dima Kagan,Michael Fire
Shay Lapid
Nowadays, detecting anomalous communities in networks is an essential task in research, as it helps discover insights into community-structured networks. Most of the existing methods leverage either information regarding attributes of verti...
A Radial Basis Function Neural Network for Stochastic Frontier Analyses of General Multivariate Production and Cost Functions [0.03%]
一般多变量生产与成本函数的随机前沿分析的径向基函数神经网络模型
Parag C Pendharkar
Parag C Pendharkar
Production function techniques often impose functional form and other restrictions that limit their applicability. One common limitation in popular production function techniques is the requirement that all inputs and outputs must be positi...
Knowledge Fusion Distillation: Improving Distillation with Multi-scale Attention Mechanisms [0.03%]
知识融合蒸馏：利用多尺度注意力机制提升模型蒸馏效果
Linfeng Li,Weixing Su,Fang Liu et al.
Linfeng Li et al.
The success of deep learning has brought breakthroughs in many fields. However, the increased performance of deep learning models is often accompanied by an increase in their depth and width, which conflicts with the storage, energy consump...
Jie Ju,Ke&#x;nan Liu,Fang&#x;ai Liu
Jie Ju
Sulphur dioxide is one of the most common air pollutants, forming acid rain and other harmful substances in the atmosphere, which can further damage our ecosystem and cause respiratory diseases in humans. Therefore, it is essential to monit...
AI Assisted Attention Mechanism for Hybrid Neural Model to Assess Online Attitudes About COVID-19 [0.03%]
用于评估网上关于COVID-19态度的混合神经网络模型的AI注意力机制
Harnain Kour,Manoj K Gupta
Harnain Kour
COVID-19 is a novel virus that presents challenges due to a lack of consistent and in-depth research. The news of the COVID-19 spreads across the globe, resulting in a flood of posts on social media sites. Apart from health, social, and eco...