MOTE 发表于 2025-3-21 16:13:49

书目名称Intelligent Systems and Applications影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0470041<br><br>        <br><br>书目名称Intelligent Systems and Applications影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0470041<br><br>        <br><br>书目名称Intelligent Systems and Applications网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0470041<br><br>        <br><br>书目名称Intelligent Systems and Applications网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0470041<br><br>        <br><br>书目名称Intelligent Systems and Applications被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0470041<br><br>        <br><br>书目名称Intelligent Systems and Applications被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0470041<br><br>        <br><br>书目名称Intelligent Systems and Applications年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0470041<br><br>        <br><br>书目名称Intelligent Systems and Applications年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0470041<br><br>        <br><br>书目名称Intelligent Systems and Applications读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0470041<br><br>        <br><br>书目名称Intelligent Systems and Applications读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0470041<br><br>        <br><br>

DEVIL 发表于 2025-3-21 20:40:44

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有花 发表于 2025-3-22 01:00:38

A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning,compliance is triggering mEMAs at inopportune moments. In this work, we propose a framework for implementing adaptive mEMAs using reinforcement learning (RL) to address the timing and context challenge, aiming to improve long term response compliance. To effectively model user state, we also propose

NAUT 发表于 2025-3-22 06:18:33

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配置 发表于 2025-3-22 11:20:13

Multi-GPU-based Convolutional Neural Networks Training for Text Classification,e promising results in many NLP tasks such as text classification. However, training CNNs is a computationally intensive task, which limits their use in large scale applications. In this paper, we are focusing on the improvement of the training cost of the text classification CNN. We implement a dis

MIME 发表于 2025-3-22 15:45:39

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Observe 发表于 2025-3-22 20:17:28

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Gratulate 发表于 2025-3-22 22:52:49

,A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance,rs. An important part focuses on obstacle detection and avoidance for UAVs navigating through an environment. Exploration in an unseen environment can be tackled with Deep Q-Network (DQN). However, value exploration with uniform sampling of actions may lead to redundant states, where often the envir

Indigence 发表于 2025-3-23 03:24:13

,Detecting and Fixing Nonidiomatic Snippets in Python Source Code with Deep Learning,thm is divided into three subtasks: (i) the snippets are localized, then for each snippet (ii) the type of the nonidiomatic pattern, and (iii) the key variables are determined. The subtasks of localizing patterns and extracting variables are solved as Sequence Tagging tasks with LSTM networks. Deter

酷热 发表于 2025-3-23 07:58:58

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查看完整版本: Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2022 The Editor(s) (if applicable) and The Aut