The Journal of Supercomputing

Social media play a significant role in shaping and spreading societal views, including anti-vaccine sentiments that can undermine public health efforts. Understanding the extent of these views and predicting their future trends is challenging but ...

COVID-19 face mask usage has sparked interest in improving the speed and accuracy of detecting masked faces in intricate surroundings. One approach is using deep learning methods like the YoloX network, but it suffers from the loss of semantic ...

Medical data are increasing drastically due to the vast development of medical sciences. The security of this immense data is also a challenge of the present era. Image watermarking is a technique to secure medical data from alteration. ...

Unmanned aerial vehicles (UAVs) have gained significant importance due to their wide applicability in modern life. Fault diagnosis plays a crucial role in ensuring their safe and reliable operation. This study evaluated a smart drone's performance ...

Span-level method achieves competitive results in Aspect Sentiment Triplet Extraction (ASTE) by enumerating all possible spans. However, previous span-level methods fail to exploit syntactic information to identify the correspondence between ...

Over the last few years, abundant and diverse Web services have migrated to the cloud. However, the disparity of the cloud environment renders quality of service (QoS) prediction harder. Based on analyzing the problems of inaccurate semantic ...

We propose an algorithm comprising some new techniques to efficiently search the entire state space of the Yin-Yang puzzle which is an NP-complete problem, by skipping invalid solutions ranges. The algorithm features efficient memory usage and ...$\mathrm{}\mathrm{}$

Due to dynamic changes, applications designed for the Internet of Things (IoT) require new storage resources. Storing IoT data in a fog infrastructure is a common practice to guarantee the IoT application’s high performance. Multiple fog nodes ...

Routability estimation identifies potentially congested areas in advance to achieve high-quality routing solutions. To improve the routing quality, this paper presents a deep learning-based congestion estimation algorithm, which serves to guide ...

The failure mode analysis of the process of dropping a cellphone is significantly impacted by changes in the phone’s pose. During the drop process of a phone, the quality of the IMU sensor pose estimation is challenging to assess due to sensor ...${}^{}$

Industrial development can bring huge economic benefits to the country and society. However, it has also caused serious environmental pollution, leading to serious health problems and medical burdens for people, and is often accompanied by the ...

Location-based skyline queries in road networks can quickly return the desired data to the user from a large amount of data according to the user’s needs and location. However, there is no effective mechanism for calculating the road network ...

The purpose of government news summarization is to extract the most important information from official government news reports. It is important for readers to be able to understand government news quickly in the age of information overload. ...

This paper presents a novel and powerful population-based metaheuristic algorithm called Nizar Optimization Algorithm (NOA). This algorithm is based on two techniques. The first technique is to use effective mappings, which are divided into two ...

Click-through rate is a central issue in ad recommendation and has recently received extensive research attention in academia and industry. Research shows that the accuracy of prediction results in CTR prediction is closely related to interactive ...

To improve the quality and efficiency of machine translation (MT) for low-resource languages (LRLs), this paper analyzes the application of genetic algorithm (GA) under the background of cloud computing (CC). By using GA to optimize MT for LRL, ...

The influence maximization problem that has caused great attention in social network analysis aims at selecting a small set of influential spreaders so that the information cascade triggered by the seed set is maximized. The majority of the ...

Intelligent Transportation System (ITS) aims to strengthen the connection between vehicles, roads, and people. As the important road information in ITS, intelligent detection of traffic signs has become an important part in the intelligent ...

Semantic relatedness is one of the most significant aspects of natural language processing. It has been identified as a critical technology for developing intelligent systems like Siri, Microsoft Ice, Cortana, and Xiaoai. In 2014, SemEval ranked ...

The critical goal of gait recognition is to acquire the inter-frame walking habit representation from the gait sequences. The relations between frames, however, have not received adequate attention in comparison to the intra-frame features. In ...

Research in the field of Wireless Sensor Networks aims to develop protocols ensuring minimal energy dissipation. In this work, we propose a lightweight congestion control based sink mobility solution to improve data gathering that considers ...

Locating and maintaining multiple Pareto optimal sets (PSs) in the decision space simultaneously is a challenging issue in solving multimodal multiobjective optimization problems (MMOPs). To deal with this challenge, this paper proposed a ...

The ability to identify human actions in uncontrolled surroundings is important for Human–Computer Interaction (HCI), especially in the sports areas to offer athletes, coaches, and analysts valuable knowledge about movement techniques and aid ...

Feature extraction is essential in bioinformatics because it transforms genomics sequences into feature vectors, which are needed for clustering to discover the family of newly sequenced genome. Most of the existing feature extraction methods ...

The Chimp Optimization Algorithm (ChOA) is a cutting-edge swarm intelligence algorithm that models the social status ties and hunting behavior of chimps to solve complex optimization problems. Although ChOA is known for its simplicity and ...

Aiming at the problem that the existing line segment detectors will detect overdense meaningless textures, this paper proposes a fusing contour features optimization method for line segment detector, called CF-Lines. We define a new line segment ...

Existing weakly supervised named entity recognition (NER) research only deals with flat entities and ignores nested entities. This paper proposes a multi-stage nested entity recognition method (MNR) that utilizes weakly labeled data to recognize ...

Approximate computing is a new approach to reducing power consumption and complexity, increasing performance, and can generate a trade-off between accuracy and power-delay-area efficiency in error-resilient applications. As multiplication is ...

Agriculture is one of the most crucial aspects of a nation’s growth. However, the quality and quantity of crop yield are severely affected by various plant diseases. Plant diseases must be identified and prevented at an early stage to improve food ...

The Internet of Things (IoT) is an important virtual network that allows remote users to access linked multimedia devices. The development of IoT and its ubiquitous application across various domains of everyday life has led to continuous research ...