INFORMATION SCIENCES

INFORMATION SCIENCES(英文缩写 INFORM SCIENCES),ISSN 0020-0255,eISSN 1872-6291 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
6.000
JCR 分区
Q1
CAS 分区
B2
近一年发文量
0

指标来源:jcr_cas_ifqb

ISSN: 0020-0255 · eISSN: 1872-6291 · 缩写: INFORM SCIENCES

期刊简介

暂无简介。

历年影响因子趋势

年份影响因子JCR 分区
-Q1
-Q1
-N/A
-Q1
-Q1

INFORMATION SCIENCES 最新收录文献

※ 中文译文由 AI 辅助生成,仅供学术参考,请以英文原文为准。

  1. Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations.

    An unprecedented amount of existing functional Magnetic Resonance Imaging (fMRI) data provides a new opportunity to understand how functional fluctuations relate to human cognition/behavior using data…

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  2. A multimodal machine learning approach to predict Fugl-Meyer scores and motor recovery potential in stroke rehabilitation: Toward precision-based therapies.

    Stroke is a leading cause of long-term disability, with highly variable recovery trajectories and challenges in prediction and monitoring. Frequently used measures (e.g., National Institute of Health …

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  3. Causality-aware Social Recommender System with Network Homophily Informed Multi-treatment Confounders.

    Typical recommender systems utilize observed ratings of users as inputs to learn their preferences and aim to output recommendations of new items that users will like by predicting their potential rat…

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  4. An optimal Bayesian intervention policy in response to unknown dynamic cell stimuli.

    Interventions in gene regulatory networks (GRNs) aim to restore normal functions of cells experiencing abnormal behavior, such as uncontrolled cell proliferation. The dynamic, uncertain, and complex n…

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  5. HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control.

    Infectious diseases, such as Black Death, Spanish Flu, and COVID-19, have accompanied human history and threatened public health, resulting in enormous infections and even deaths among citizens. Becau…

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  6. Modeling the spread dynamics of multiple-variant coronavirus disease under public health interventions: A general framework.

    The COVID-19 pandemic was caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is a single-stranded positive-stranded RNA virus with a high multi-directional mutation rate. Ma…

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  7. MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT.

    The automatic segmentation of COVID-19 pneumonia from a computerized tomography (CT) scan has become a major interest for scholars in developing a powerful diagnostic framework in the Internet of Medi…

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  8. ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection.

    The early and accurate detection of COVID-19 is vital nowadays to avoid the vast and rapid spread of this virus and ease lockdown restrictions. As a result, researchers developed methods to diagnose C…

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  9. An integrated interval-valued intuitionistic fuzzy technique for resumption risk assessment amid COVID-19 prevention.

    Currently, China has achieved a remarkable achievement on the containment of COVID-19, which creates a favorable condition for the gradual resumption of normal life. However, COVID-19 infections conti…

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  10. A centralized contact-tracing protocol for the COVID-19 pandemic. 新冠肺炎大流行的集中式接触追踪协议

    Digital contact tracing (DCT) is one of the weapons to be used against the COVID-19 pandemic, especially in a post-lockdown phase, to prevent or block foci of infection. As DCT systems can handle high…

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