ISCAI

Abstract: When solving multimodal optimization problems, the lion swarm optimization (LSO) algorithm will face many problems, such as low individual diversity, slow search speed, premature convergence or even falling into local extremum. The traditional ...

Chinese character font recognition is a vital research area with applications in text recognition, artistic font design, and handwriting recognition. Traditional methods for this task are time-consuming, labor-intensive, and error-prone. The rise of ...

The application research of artificial intelligence in material support is a key field, which can provide support in accurate prediction, effective supply chain management, intelligent inventory management, optimization routes, and risk assessment. This ...

The challenge of small sample sizes in fMRI research, particularly in studies involving specific groups like deaf children, necessitates specialized data analysis techniques. Our study introduces two such methods: the Bootstrap and Permutation methods, ...

Purpose: This study investigates variations in brain functional connectivity and activation regions during the processing of three different tones (first tone, second tone, third tone) in both deaf and hearing children, employing deep learning methods. ...

The event extraction task recognizes events in natural language text and extracts the event triggers and arguments. The majority of existing methods that based on closed domains have poor generalization and are difficult to extend to new domains. As a ...

Abstract. The arrival of the artificial intelligence era has had a huge impact on the design industry. Design education needs to transform to meet the new demands of the 21st century. This study aims to explore the intersection and integration of ...

Many countries have implemented the cap-and-trade (C&T) policy to control carbon emissions, and provided subsidies to foster the green investment of manufacturing companies. This paper investigates the effect of mixed carbon policy composed by subsidy ...

Utilizing waveform diversity, colocated multiple-input multiple-output (MIMO) radar offers increased degrees of freedom (DOF) and potential enhancements in target detection and identification compared to traditional phased array radar. However, the ...

Abstract. Image description plays a pivotal role in the realm of computer vision language tasks, as its core mission revolves around predicting relevant textual information given an input image. In this research paper, we introduce an innovative model (...

Abstract. Smart Cities, the modern digital urban landscapes, are primarily facilitated by the Internet of Things (IoT) infrastructures for information communication. Despite Smart Cities' benefits, risks revolving around data privacy and security within ...

Abstract. Internet of Things (IoT) plays an important role in smart grids. Software-Defined Internet of Things (SD-IoT) employs the Software-Defined Networking (SDN) as the network architecture of IoT in smart grids. Hence, in smart grids, SD-IoT can ...

Adaptive image steganalysis algorithm is one of the important research direction in the field of information security. Nowadays, digital image steganography based on deep learning has been widely used to protect sensitive data during transmission or ...

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 ...

Security systems are extremely important in the workplaces, educational establishments and other public places. Nowadays, in a wide range of scenarios, such as offices, schools, universities, factories, can be detected various anomaly behaviors, which ...

In this paper, we construct a system with moving vehicles, road side units(RSUs) and a base station(BS) in Internet of Vehicles(IoVs). According to Nyquist theorem and Shannon formulation, we can get the energy consumption and execution time for task ...

Abstract. In response to the lack of larger-scale and high-quality NER datasets and research on NER in the steel industry, this paper constructs a NER dataset for the steel industry that includes 4835 pieces of data, and annotates four entity categories: ...

In light of previous endeavors and trends in the realm of parallel programming, HPPython emerges as an essential superset that enhances the accessibility of parallel programming for developers, facilitating scalability across multiple nodes. Despite ...

With the rapid development of information technology, wireless network communication has become the primary means for people to interact and share network resources, profoundly impacting various aspects of social life. Simultaneously, an increasing ...

Despite their powerful semantic understanding and code generation capabilities, Large Language Models (LLMs) still face challenges when dealing with complex tasks. Multi-agent strategy generation and motion control are highly complex domains that ...

This paper introduces a Machine learning intrusion detection system (IDS) to detect DoS attacks and FUZZY attacks on CAN bus in smart vehicles and classify messages to Normal, DoS, or FUZZY. The aim of using the machine learning techniques with ...