Archives

  • Special Issue on Intelligent Systems and Adaptive Control Technologies
    Vol. 2 No. 2 (2026)

    This issue focuses on the interdisciplinary innovations in artificial intelligence, robotics, and intelligent control, featuring five representative research papers. These works span multiple cutting-edge directions, from in-vehicle dialogue systems and robot path planning to smart contract security detection, collectively embodying the core concepts of intelligence, adaptability, and bio-inspired mechanisms. The paper EchoKG: A Dynamic User Preference Knowledge Graph for In-vehicle Dialogue Systems Based on the Ebbinghaus Forgetting Curve proposes a human-computer interaction framework integrating cognitive science theories. Obstacle Avoidance Path Planning for Robotic Arms Based on an Improved RRT Algorithm presents an efficient solution for motion planning in complex environments. Design of an Adaptive Stair-Climbing Robot Based on Heterogeneous Dual-Core Intelligent Control Technology demonstrates the application of intelligent control in special-purpose robots. Research on Bio-inspired Self-balancing Control Based on LIF Networks explores the potential of brain-inspired computing in control systems. Research on Fine-grained Detection Methods for Honeypot Contracts Based on LSTM and Fuzzing provides an intelligent detection approach for blockchain security. These advances not only propel technological progress in their respective fields but also offer significant references for the integrated applications of intelligent systems.

  • Converging Frontiers: AI at the Nexus of Health, Ethics, and Global Systems
    Vol. 1 No. 5 (2025)

    This issue captures AI’s transformative role where ​​clinical diagnostics​​ meets ​​existential debate​​, and where ​​blockchain logistics​​ intersects with ​​agricultural vision systems​​. Featuring a machine learning framework for multi-disease risk prediction with interpretability analysis, it juxtaposes pragmatic healthcare tools with speculative dialogues on AI’s future impact—inspired by science fiction narratives. Meanwhile, novel neural architectures for electronic systems and blockchain-embedded low-carbon supply chains demonstrate AI’s capacity to optimize both information flows and physical commodities. The inclusion of a YOLOv8-based tea detection system further anchors theoretical advances in tangible applications. Together, these studies map AI’s expanding influence across medicine, philosophy, and industrial ecology, inviting readers to consider: How do we steward technologies that simultaneously diagnose diseases and redefine human purpose?

  • The Multidimensional Evolution of Intelligent Systems: From Sub-Pixel Localization, Topological Matter to Human-Machine Management
    Vol. 2 No. 4 (2026)

    This special issue compiles cutting-edge research from engineering vision, embedded IoT, clinical emergency medicine, computational material science, and HR management. We explore solving sub-pixel laser spot localization via multi-strategy fusion algorithms, present STM32-driven smart disinfection systems for public health, and validate the clinical value of Battlefield Acupuncture in orthopedic emergencies. Furthermore, we delve into surface-state predictions in topological semimetals and analyze the transformative impact of AI on HRM in listed enterprises, aiming to provide theoretical and practical insights for interdisciplinary intelligent applications.

  • AI-Driven Innovations in Cross-Domain Applications: From Logistics and Healthcare to Agriculture and Education
    Vol. 1 No. 7 (2025)

    This issue presents cutting-edge research exploring artificial intelligence's transformative potential across diverse domains. The collection features five groundbreaking studies that demonstrate AI's capacity to address complex challenges through innovative methodological frameworks and practical implementations. The issue opens with Wang's Bayesian Network analysisexamining how trade tensions impact global aviation logistics, providing a probabilistic risk assessment framework for supply chain resilience. The healthcare sector is represented by Li and Zhao's thoracic fracture detection system, which integrates YOLOv12 with BiFPN architecture to achieve remarkable diagnostic accuracy improvements. In agricultural technology, Li and Liu's GoatFaceNetdemonstrates lightweight facial recognition for livestock management, achieving 94.2% accuracy in open-set recognition scenarios despite high inter-animal similarity. The educational dimension is addressed by Liu et al.'s OBE-AI model, which bridges secondary-university physics education gaps through intelligent competency cultivation frameworks. Complementing these applications, Yang et al.'s AttentionHR frameworkleverages Transformer architecture for employee turnover prediction in IT industries, achieving 88.16% accuracy while identifying critical retention factors like salary satisfaction and technological pressure. Collectively, these studies highlight AI's evolving role in solving domain-specific problems through advanced neural architectures, probabilistic modeling, and adaptive learning mechanisms. The issue contributes significantly to both methodological innovation and practical implementation across logistics, healthcare, agriculture, education, and human resource management.

  • Wires to Wisdom: Engineering, Ethics, and Evolution in AI Systems
    Vol. 1 No. 2 (2025)

    This issue explores the multifaceted journey of AI—from the precision of CAN bus motor control to the ethical dilemmas of criminal justice intervention, and from AIGC-powered heritage preservation to bias-mitigated personalized learning. Bridging hardware and humanity, these studies collectively interrogate how intelligent systems evolve when engineering rigor meets ethical reflection. Whether optimizing machine communication or safeguarding cultural memory, each contribution underscores a shared imperative: to weave technical innovation with societal wisdom.

  • Frontiers in Smart Technologies for Sustainable Development
    Vol. 2 No. 1 (2026)

    This special issue showcases the transformative convergence of artificial intelligence, innovative hardware design, and data-driven analytics in addressing critical sustainability challenges across environmental, health, and social domains. The curated collection traverses a remarkable interdisciplinary landscape—from adaptive spiking neural networks on memristive crossbars enabling real-time athlete injury prediction, to deep learning-powered remote sensing fusion revolutionizing wetland ecosystem monitoring. We explore intelligent product design that harmonizes function with form through embedded disinfection systems, analyze the decoupling of carbon emissions from economic growth in emerging energy sectors, and present hybrid frameworks leveraging learning analytics to predict educational technology adoption. Together, these contributions exemplify how smart technologies can forge integrated pathways toward environmental stewardship, public health resilience, and inclusive education, underscoring the pivotal role of cross-disciplinary innovation in building a sustainable future.

  • The Responsible Code: Human-Centered AI for Education, Social Work and Global Networks
    Vol. 1 No. 4 (2025)

    This issue explores AI's transformative potential when guided by ethical principles and human priorities. From safeguarding maritime transportation through ​​human-centric cybersecurity frameworks​​ to reimagining ​​physics pedagogy​​ with interdisciplinary AI tools, these studies demonstrate how technology can amplify human capabilities across sectors. The collection highlights:

    • ​​Dual-path Transformer models​​ that optimize educational equity
    • ​​AI-augmented social work​​ practices balancing opportunity with ethical challenges
    • ​​Polycentric governance frameworks​​ for distributed AI responsibility

    Together, they form a "responsible code" – not just in programming terms, but as a blueprint for developing AI that serves classrooms, communities and global systems with equal care. Whether protecting ships' digital infrastructure or personalizing learning experiences, each paper contributes to the crucial dialogue about building AI that aligns with human values at every scale.

  • Issue on AI-Driven Frontier Technologies and Intelligent Systems Applications
    Vol. 2 No. 3 (2026)

    This issue focuses on innovative applications of artificial intelligence across five diverse domains—image processing, condensed matter physics, macroeconomic forecasting, agricultural robotics, and international trade—featuring five representative interdisciplinary research papers. These works collectively demonstrate the powerful potential of deep learning, transfer learning, and multi-modal fusion in addressing complex scientific and engineering challenges. Performance Comparison of AI Models for Image Shadow Removal: UNet, CGAN, and Swin-Transformer with a Note on Diffusion Models provides a systematic evaluation of multiple deep learning architectures for image restoration tasks. Artificial Intelligence-Driven Discovery of Magnetic Higher-Order Topological Corner States: A Review From Theoretical Framework to Large-Scale Screening explores cutting-edge applications of machine learning in materials discovery within condensed matter physics. Research on Macroeconomic Nonlinear Forecasting Based on DCL-MHA Collaborative Architecture and Residual Gating Mechanism proposes a novel economic forecasting model integrating attention mechanisms with residual learning. Design of a Dynamic Obstacle Avoidance System for Greenhouse Robots Based on the Fusion of YOLOv5 and Ultrasonic Sensing achieves an agricultural automation solution through vision-perception fusion. Sino-European Trade Flow Forecasting and Path Optimization: A GFIITL-DCL-MHA Framework Based on Deep Collaborative Learning and Transfer Learning offers methodological support for intelligent decision-making in cross-border trade. These advances not only push the technical boundaries of their respective fields but also provide important paradigmatic references for the interdisciplinary integration of artificial intelligence.

  • AI-Powered Innovations: Bridging IoT, Education, and Industrial Systems
    Vol. 1 No. 6 (2025)

    This comprehensive issue presents five groundbreaking research articles that demonstrate the transformative power of artificial intelligence across diverse domains. The collection showcases cutting-edge applications of AI technologies in solving complex real-world challenges, from industrial automation to educational enhancement and healthcare analytics.

  • First Light: Pioneering AI Research for Tomorrow's Challenges
    Vol. 1 No. 1 (2025)

    This inaugural issue illuminates the dawn of transformative AI applications across education, healthcare, and engineering. From revolutionizing ​​natural language processing pedagogy​​ in undergraduate institutions to enabling ​​precision breast cancer diagnosis​​ through lightweight neural networks, these studies represent the first rays of AI's potential. The collection bridges fundamental research and practical innovation—whether simulating power converters for smarter energy systems or developing wireless transmission prototypes. Particularly compelling is how AI personalizes ​​English language education​​ through layered teaching models, demonstrating technology's power to address individual learning needs. Together, these papers don't just respond to current challenges; they cast light on future possibilities where AI enhances how we teach, heal, and build.

  • Wind Power Prediction, Medical Image Segmentation, AI Framework, Branding Impact, and Coaching Transition Analysis
    Vol. 1 No. 8 (2025)

    This issue features 5 cutting-edge research articles:
    • Ultra-short-term wind power prediction using CPO and cross-domain attention.
    • E-UNet-based semantic segmentation for colorectal polyps.
    • A bio-inspired AI framework for human-machine coaching in team decision-making.
    • Exploring AI-quality’s impact on brand perception and consumer loyalty.
    • Coaching transition prediction via dual-encoder temporal-contrastive learning.
    Topics span renewable energy, healthcare, AI methodology, marketing, and behavioral analysis.

  • Symphony of Algorithms: Conducting AI in Education, Agriculture and Healthcare
    Vol. 1 No. 3 (2025)

    This issue presents a harmonious convergence of artificial intelligence across diverse domains—where machine learning orchestrates ​​digital classrooms​​, computer vision nurtures ​​smart farmlands​​, and neural networks fine-tune ​​medical diagnostics​​. Like a masterful symphony, these studies demonstrate how algorithmic "instruments"—from firefly-optimized data preprocessing to hyperspectral image analysis—can create transformative synergies. Whether enhancing music education through digital tools or detecting rib fractures with deep learning, each paper reveals AI's capacity to conduct innovation across the score of human progress.