COMPUTING 发表关于所有计算领域的原创论文、简短的交流和调查。贡献应该用英语写成，可以是理论或应用性质的，基本标准是计算相关性和结果的系统基础。

The journal Computing (Vienna/New York) publishes original papers, brief communications, and surveys in all areas of computing. Contributions should be written in English and can be of a theoretical or applied nature, with the fundamental criteria being computational relevance and a systematic basis for the results.

《Computing (Vienna/New York)》期刊发表关于计算领域的原创论文、简短交流和调查研究。所有贡献需用英语撰写，内容可以是理论或应用性质，基本标准是与计算相关性和结果的系统基础。

Computing (Vienna/New York)

Yan Wan

Yujia Zhai

Can Cui

Dexuan Song

Computing

Indoor energy-saving strategy optimization based on deep reinforcement learning and DDPG algorithm

基于深度强化学习和DDPG算法的室内节能策略优化

Khadijeh Nemati

Amir Hosein Refahi Sheikhani

Sohrab Kordrostami

Kamrad Khoshhal Roudposhti

The embedded feature selection method using ANT colony optimization with structured sparsity norms

使用结构稀疏范数的蚁群优化嵌入式特征选择方法

Yuri Assayag

Eduardo Souto

Raimundo Barreto

Moises Carvalho

Richard Pazzi

Horácio Fernandes

Efficient exploration of indoor localization using genetic algorithm and signal propagation model

基于遗传算法和信号传播模型的室内定位高效探索

The Healthcare Internet of Things (H-IoT) is a rapidly developing problem solving model with significant potential to improve patient care and healthcare outcomes. This study focuses on integrating cryptographic platforms into H-IoT systems to enable secure data access. We present insights on how to manage challenges such as cyber risks, resource constraints, latency, and energy consumption by exploring cryptographic approaches in diverse H-IoT applications. We explore important topics including big data management, blockchain, machine learning, edge computing, and software-defined networks. Additionally, we examine real-time operational challenges and emerging trends, such as remote patient monitoring and predictive analytics. Our research underscores the need for strong encryption mechanisms, access controls, device authentication, and proactive threat detection to improve the safety and efficiency of healthcare services. By combining cryptographic approaches with the architecture of the H-IoT system, this work provides the foundation for resilient healthcare infrastructures. Addressing current challenges and anticipating future opportunities contribute to strategic healthcare planning that prioritizes patient privacy and data security while anticipating future strategic healthcare planning opportunities. This article aims to provide valuable information to researchers by covering energy-efficient and resource-optimized healthcare system approaches that are integrated into the development of H-IoT systems.

Tariq Emad Ali

Faten Imad Ali

Pavle Dakić

Alwahab Dhulfiqar Zoltan

Trends, prospects, challenges, and security in the healthcare internet of things

医疗物联网的趋势、前景、挑战与安全

Zhijing Liu

Optimized cooperative data transmission in two-tier NB-IoT networks

两层NB-IoT网络中的优化协作数据传输

Mehdi Ghorbani

Navid Khaledian

Setareh Moazzami

ALBLA: an adaptive load balancing approach in edge-cloud networks utilizing learning automata

ALBLA：一种利用学习自动机的边缘云网络自适应负载均衡方法

Hui Xie

Teng He

Shengjun Wei

Changzhen Hu

Blockchain-based entity access control scheme for ubiquitous UAV swarm tasks

基于区块链的实体访问控制方案用于无处不在的无人机群任务

Fatemeh Yousefinejad

Saeed Jalili

Runtime verification of electronic stability control system in automated vehicles with STL3 formalism

自动化车辆中电子稳定控制系统运行时验证的STL3形式化方法

Abbreviation
Journal Impact	3.38
Quartiles(Global)	COMPUTER SCIENCE, THEORY & METHODS(Q2)

ISSN	0010-485X, 1436-5057
h-index	69

Publication Information	Publisher: Springer-Verlag Wien，Publishing cycle: Bimonthly，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 1966，Proportion of original research papers: 99.12%，Self Citation Rate:6.10%， Gold OA Rate: 14.97%
Average review cycle	网友分享经验：>12周，或约稿
Average recruitment ratio	网友分享经验：容易

Computing (Vienna/New York)

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Indoor energy-saving strategy optimization based on deep reinforcement learning and DDPG algorithm

The embedded feature selection method using ANT colony optimization with structured sparsity norms

Efficient exploration of indoor localization using genetic algorithm and signal propagation model

Trends, prospects, challenges, and security in the healthcare internet of things

Optimized cooperative data transmission in two-tier NB-IoT networks

ALBLA: an adaptive load balancing approach in edge-cloud networks utilizing learning automata

Blockchain-based entity access control scheme for ubiquitous UAV swarm tasks

Runtime verification of electronic stability control system in automated vehicles with STL3 formalism

Optimized cooperative data transmission in two-tier NB-IoT networks

The embedded feature selection method using ANT colony optimization with structured sparsity norms