Frontiers in Computing and Intelligent Systems

Aiming at the core contradiction between structural strength and material weight reduction in the lightweight design of impellers, this paper proposes a topology optimization method considering support-free forming and blade geometric shape retention based on selective laser melting (SLM) additive manufacturing technology. The variable density method is adopted for topology optimization design, a…

PM2.5 pollution has become a critical environmental issue affecting air quality and public health. Accurate concentration prediction is of great significance for pollution early warning and control. Considering that PM2.5 concentration variations exhibit both temporal dependence and spatial correlation, along with the presence of redundant features in multi-source data, a spatiotemporal predictio…

With the rapid development of artificial intelligence, computer vision, and intelligent transportation technologies, autonomous driving has become an important research direction in academia and industry. Deep learning, with its powerful feature extraction, pattern recognition, and temporal modeling capabilities, has shown significant advantages in autonomous driving environmental perception, tra…

With the rapid growth of user reviews on tourism platforms and the rising demand for intelligent services, multi-label classification has become essential for review retrieval and service optimization. Traditional methods struggle with the complex semantics and multi-label nature of reviews, leading to weak feature representation and lower accuracy. To address this issue, this study proposes a G-…

Due to the complex downhole environment in oil and gas wells, electromagnetic wave wireless transmission suffers from high attenuation, multipath interference, and low signal-to-noise ratio, making long-distance and reliable communication difficult. To address these challenges, a composite modulation method combining Differential Phase Shift Keying (DPSK) and Forward Error Correction (FEC) is pro…

Automated cell manipulation is a key technology in biomedical research. Realizing real-time detection and precise positioning of targets is an essential prerequisite for applications such as single-cell analysis and drug screening. Most existing methods rely on complex vision systems or multi-degree-of-freedom manipulators, which suffer from issues including low integration and limited automation…

In response to significant fire hazards arising from high population density and complex electricity consumption in university dormitories, as well as industry pain points such as the "information silos" of traditional standalone smoke alarms and the spatial localization difficulties of 2D planar monitoring systems, this paper comprehensively utilizes embedded development, Internet of Things (IoT…

In contemporary public spaces saturated by digital technologies, individuals’ dependence on smart devices has continued to intensify, drawing them ever deeper into fragmented modes of information consumption. As a result, the frequency of face-to-face offline communication has declined markedly, while genuine emotional connections have gradually weakened. This phenomenon of “co-presence without c…

With the rapid development of the Internet of Things and low-altitude economy, unmanned aerial vehicles (Uavs) have been widely used in data collection, environmental monitoring and other fields.Traditional path planning algorithms have defects such as insufficient generalization ability and poor real-time performance in complex and dynamic environments. Deep reinforcement learning technology pro…

Although the most used Long Short-Term Memory (LSTM) networks are now well-suited for short-term data changes, they are not enough to grasp the overall data in financial forecasting. This paper proposes a hybrid approach that combines LSTM and Transformer architectures to leverage both temporal dynamics and global dependencies in financial time series. Specifically, the model employs LSTM layers …

Lung cancer is one of the most common and deadly types of cancer worldwide. While computed tomography (CT) of the chest is considered the gold standard for early detection, manual evaluation faces two major challenges: Micronodules are often overlooked, and radiologists suffer from reduced efficiency due to overwhelming daily case numbers and persistent fatigue. To solve these problems, we employ…

With a high proportion of new energy sources connected to the power grid, the traditional dispatching model is facing severe challenges in dealing with uncertainties.To address this challenge, this article systematically reviews the progress of the application of artificial intelligence(AI) technology in the optimization scheduling of smart grids..The research focuses on three core methods: data-…

This paper systematically reviews the research foundation, core technologies, and practical applications of cryptography in the blockchain field. Algorithms, and data immutability relies on cryptographic hash functions and Merkle tree structure; the balance between transparency and privacy in block chain relies on the encryption technique of zero-knowledge proofs, ring signature, homomorphic encr…

With the development of Internet of things (IoT) technology, the continuous increase of IoT devices and the increasing complexity of application scenarios, the traditional decision system relying on rules has been difficult to meet the intelligent requirements of high dynamic, multi-modal, and global collaboration. In recent years, Large Language Models (LLM) have gradually become an important te…

Since adders are located on the critical paths of arithmetic units, the choice between Ripple-Carry Adders (RCA) and Carry-Lookahead Adders (CLA) has first-order impacts on clock frequency, silicon area, and energy. This paper takes a look back at RCA/CLA and all its variants to see what has happened recently (2021–2025). The research summarizes results from publicly available, peer-reviewed rese…

In recent years, deep learning and large language models have entered almost every discussion on stock price prediction. Many reported results look strong on paper, but often rely on clean data, cheap trading, and generous assumptions that rarely hold in real markets. This review looks at studies from 2020–2025 through three practical lenses. First, data and task design: how prices, order books, …

Alan Turing's machine model of the universal machine model laid the theory and foundation of current computers, and layers can be regarded as an essence of computer science of current generation computers, averting the ubiquity of the universal computing; however, gradually, against Moore’s law and stepping into higher speed-computing needs, betraying the shortcomings of Turing’s model, are come …

This paper analyzes the bottleneck issues in automatic ship mooring technology and highlights the importance of dynamic analysis in mooring mechanism design. Subsequently, dynamics modeling and simulation were conducted for a mooring mechanism capable of pitching, telescoping, and rotating. Key parameters such as force, angular velocity, angular acceleration, and torque at critical joints were ex…

With the development of artificial intelligence (AI), the combination of AI and smart home has given users a better experience, and more and more people are willing to use smart home. In this paper, the main purpose is to lead readers to understand smart home and how to apply smart home technology (SHT). SHT needs to be supported by different systems. Different systems use monitoring, positioning…

This article is mainly due to the rapid development of drones in today's society. It analyzes the characteristics and principles of the three existing types of drones for Unmanned Aerial Vehicle (UAV), namely fixed - wing drones, compound drones, and rotary - wing drones. Then, based on their anti - interference ability, endurance, and reliability in performing tasks, it analyzes their suitable a…