Containers are a popular way of deploying software in cloud data centers. Containers are allocated to Virtual machines (VMs) which are allocated to Physical machines (PMs) within the data center. Since the resources required by containers often do not ...

Location-Aware Dynamic Online Application dePloyment (LADOAP) in clouds is an NP-hard combinatorial optimisation problem. Genetic Programming Hyper-Heuristic (GPHH) has emerged as a promising approach for addressing LADOAP demands by dynamically ...

In this article, an adaptive optimal consensus control problem is studied for multiagent systems in the strict-feedback structure with intermittent constraints (the constraints appear intermittently). More specifically, by designing a novel ...

• By designing a novel switch-like function, a more realistic constraint case called intermittent constraints is addressed.
• An improved coordinate transformation is established for intermittent constraints.
• A modified IAC-RL strategy ...

Automated grading of diabetic retinopathy (DR) is an important means for assisting clinical diagnosis and preventing further retinal damage. However, imbalances and similarities between categories in the DR dataset make it highly challenging to ...

• A deep learning model is proposed for diabetic retinopathy grading.
• A novel category attention block is designed to alleviate the class-imbalance problem.
• A lesion relation attention block is proposed to model the lesion relation.

• Hybrid cropland maps were created by fusing LULC products with China’s latest national land survey.
• A bias-insensitive spatial pattern matching metric was introduced to assess and rank cropland maps.
• A novel majority voting-fuzzy ...

Accurate information on the extents and dynamics of croplands is crucial to address the twin challenges of meeting the growing food needs while reducing environmental footprint. Despite the availability of numerous global and regional cropland ...

Intelligent fault diagnosis plays an important role in maintaining the safe and reliable operation of rotating machinery. However, the data collected in real engineering scenarios may be severely insufficient, which presents challenges to the ...

With the rapid development of social mode virtualization and electronic component technology, the application of data science and Internet of Things (IoT) technology in the field of e-commerce is gradually increasing. This study aims to explore how these ...

A graph G is minimally t-tough if the toughness of G is t and deletion of any edge from G decreases its toughness. Kriesell conjectured that the minimum degree of a minimally 1-tough graph is 2, and Katona et al. proposed a generalized version of ...

Abstract. Private information retrieval (PIR) enables clients to retrieve data from a database without disclosing the specific entry being accessed. In this paper, we focus on a variant called random-index PIR (RPIR), here the retrieved index is an ...

To solve the security problems of the moving robot system in the fog network of the Industrial Internet of Things (IIoT), this paper presents a privacy‐preserving data integration scheme in the moving robot system. First, a novel data collection ...

This paper presents a privacy‐preserving data integration scheme in the moving robot system. First, a novel data collection enhancement algorithm is proposed to enhance the image effects, and a k‐anonymous location and data privacy protection protocol ...

Containers are quickly gaining popularity in cloud computing environments due to their scalable and lightweight characteristics. However, the problem of Resource Allocation in Container-based clouds (RAC) is much more challenging than the Virtual ...

In epidemic management, the unpredictable dynamics of outbreaks, the constraints of available resources, and the complexity of variable interactions pose a significant challenge in designing effective management rules. While traditional ...

Microservice is a new architecture for application development that makes applications more flexible to deploy, extend and update compared to monolithic architectures. As container-based clouds rapidly gained popularity in recent years, more ...

In this article, an optimal bipartite consensus control (OBCC) scheme is proposed for heterogeneous multiagent systems (MASs) with input delay by reinforcement learning (RL) algorithm. A directed signed graph is established to construct MASs with ...

Community Detection (CD) in large social networks is a highly active research area due to its immense practical value in many real-world applications. Genetic algorithms (GAs) are widely used to solve the CD problem due to their strong ability to ...

Global ocean data assimilation is a crucial technique to estimate the actual oceanic state by combining numerical model outcomes and observation data, which is widely used in climate research. Due to the imbalanced distribution of observation data in ...

The domain of beyond-the-visual-line-of-sight (BVLOS) flights of unmanned aerial vehicles (UAVs) has unique navigational challenges such as the reliable estimation, evaluation and mitigation of the risk of the associated flight paths. To tackle ...

Current super-resolution (SR) methods have demonstrated exceptional advancements in the domain of natural image processing. Nevertheless, these approaches do not fully address the open issues of edge blurring and distortion. In order to address ...

• BPDUN, a deep unrolling network is proposed to solve the super-resolution problems.
• A benchmark dataset HDT300 is constructed for handwritten image super-resolution.
• BPDUN is on par with the SOTA models and achieves new SOTA ...