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智能科学与技术学报
Scopus
ISSN 2096-6652 · POSTS&TELECOM PRESS Co., LTD · 671 artikel di indeks
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Artikel Jurnal
Ternary collaborative model of occupational tasks: a tangram occupational analysis framework for digital humans-robots-biological humans
Traditional occupational models were limited by a static perspective centered on the biological human. To overcome this, a "tangram"-inspired dynamic triadic collaboration framework was proposed that preconceived occupations as networks of digital humans, robots, and biological humans. By employing…
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Reshaping self-regulated learning in K-12 AI courses: a learning support framework based on LLM agents
Current K-12 artificial intelligence (AI) education is progressively shifting toward regularized, project-based instruction. However, pedagogical practices still suffer from obscured learning paths, insufficient perception of cognitive processes, and a lack of high-order reflection. Meanwhile, the…
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Artikel Jurnal
Adaptive differential evolution for efficient unmanned aerial vehicle path planning in different environments
The unmanned aerial vehicle (UAV) path planning problem is highly challenging due to the high dimensionality of the search space and presence of complex operational constraints. To address these limitations, an enhanced differential evolution (DE) algorithm was proposed that integrates three…
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Artikel Jurnal
Review of deep learning-based foreign object intrusion detection for transmission lines via UAV aerial photography
Efficient and accurate detection of foreign object intrusion on transmission lines based on UAV aerial images and deep learning algorithms enables rapid identification of potential safety hazards, thereby improving the lean operation and maintenance capability of power grids. The research progress…
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Artikel Jurnal
Path planning for indoor service robots using an improved ACO-DWA hybrid algorithm
To address the limitation that global path planning algorithms struggle with dynamic obstacle avoidance and local path planning algorithms were susceptible to local optima, an improved hybrid algorithm was proposed combining the ant colony optimization (ACO) and dynamic window approach (DWA) for…
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Artikel Jurnal
YOLO-TKD: lightweight temporal interactive signal detection model for autonomous driving
In autonomous driving perception, accurate understanding of interaction signals is the key to safe, human-like decisions. Real-time detection of these signals is found difficult to achieve with current high-precision models. Effective modeling of dynamic temporal signals was generally lacking…
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Artikel Jurnal
The knowledge origin of artificial intelligence
The rise of artificial intelligence is not merely a consequence of advances in computing technology, but the result of a long-term convergence of philosophical reflection, mathematical logic, and cognitive science. From the perspective of knowledge origins, this paper systematically examines the…
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Real-time semantic segmentation of strip mending based on RT PSPNet
The detection of strip mending in pavement diseases provides crucial technical support for intelligent road maintenance. Existing deep learning-based semantic segmentation models often suffer from issues such as large model parameters, slow inference speed, and loss of detailed features in strip…
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Artikel Jurnal
Prospects and pathways for research on multi-level brain language decoding
Brain language decoding provides a critical pathway for restoring communication in patients with aphasia and serves as an important driving force for the development of brain-computer interface (BCI) technology. In recent years, substantial progress has been made in multi-level brain language…
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Research on intelligent parsing of task information needs based on ontology
To address the challenges faced in the analysis of information needs in time-sensitive task scenarios, an intelligent parsing method based on ontology was proposed. Firstly, an ontology model was designed to describe tasks and forces formally. Secondly, a semantic transformation and logical…
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The “learnability” of intelligent weapon systems: a transition logic from robust autonomy to cognitive evolution
The intelligent equipment system serves as the physical carrier for the transformation of operational forms toward cognitive adaptation. To maintain functional continuity within highly uncertain and strongly adversarial battlefield environments, the system must possess an endogenous "learnability"…
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Artikel Jurnal
LinYun: a domain-specific large language model for intelligent question answering and decision support in forestry
Forestry knowledge is highly specialized and broad in scopeand is particularly sensitive to regulations and practical standards. To address the knowledge gaps, terminological ambiguities, and factual inaccuracies that general-purpose large language model (LLM) exhibit in forestry scenarios, an…
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Artikel Jurnal
AI transportation scientist: LLM-driven autonomous research
Urban transportation systems are rapidly evolving into CPSS (cyber-physical-social System), driven by the continuous integration of autonomous vehicles, unmanned aerial vehicles, and diverse intelligent agents. This evolution has dramatically increased system complexity, dynamics, and coupling…
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Artikel Jurnal
Parallel Olympic Forest Park: a metaverse park integrating smart ecology and healthy living
As a model of urban park design worldwide, the Olympic Forest Park (OFP) serves as a paradigm of China's ecological civilization and a vital hub for urban well-being. To maximize the park's ecological value and address the growing public demand for healthy lifestyles, this paper proposes the…
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A review of Artificial Intelligence of Things technologies and applications in the chemical industry
Artificial intelligence of things (AIoT) has become an important enabling technology for the chemical industry, especially in online monitoring and intelligent inspection, equipment management, and predictive maintenance, providing strong support for the transition toward Industry 5.0. From the…
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Mamba-wavelet-based multi-scale modeling method for few-shot fine-grained image classification
Fine-grained few-shot image classification aims to recognize subtle inter-class differences under limited annotated samples and has been widely applied in intelligent recognition, ecological monitoring, and autonomous driving. However, existing convolutional architectures are constrained by fixed…
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Artikel Jurnal
Parallel teaching laboratories: a new AI infrastructure empowering K-12 education
To address the challenges faced by K-12 teaching laboratories in operational efficiency, safety assurance, and intelligent support, parallel intelligence was introduced, and a parallel teaching laboratory framework centered on the artificial systems, computational experiments, and parallel…
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Artikel Jurnal
Parallel Macao field observatory: autonomous systems for global intelligent observation and emergency management
The Macau national observation and research station for coastal ecological environment (Macau field station) played a critical role in advancing research on coastal ecological environments and climate change. Its primary research focused include monitoring and modeling coastal environmental…
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Artikel Jurnal
On intelligence: the origin and the goal
Large language models now provide instant answers to general-education questions. Starting from this observation, this article argues that the intelligent era has arrived. This era reshapes education, research, and work. Consequently, people face anxieties and crises of transitioning from being…