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GeneTech 知识引擎共收录 438 篇相关科研实体，横跨 27 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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• Logistics equipment condition monitoring and prediction based on digital twin and machine learning
  2026 · 数字孪生 · The use of digital twins is becoming a foundation for automation that will improve how industries handle and organize data about both virtual and physical things. It enables analyzing industrial data more seamlessly by m…
• Neurorobotics for automotive manufacturing industry in era of embodied intelligence: a mini review.
  2026 · 具身智能 · As automotive manufacturing advances toward the industrial 5.0 era, traditional rigid automation production models are transitioning toward the embodied intelligence paradigm. Confronted with mass customization, diverse …
• Emerging Trends in Robotics and Automation for Sustainable Development in Nigeria
  2026 · 智慧农业 · Nigeria faces significant developmental challenges in agriculture, healthcare, waste management, and infrastructure, which hinder progress toward the Sustainable Development Goals (SDGs). Emerging trends in robotics and …
• Emerging Trends in Robotics and Automation for Sustainable Development in Nigeria
  2026 · 智慧农业 · Nigeria faces significant developmental challenges in agriculture, healthcare, waste management, and infrastructure, which hinder progress toward the Sustainable Development Goals (SDGs). Emerging trends in robotics and …
• GREENSYNC: AI-Powered Smart Agriculture and Precision Farming Platform
  2026 · 智慧农业 · Agriculture faces challenges such as unpredictable weather, crop diseases, pest infestations, and inefficient resource management. This paper presents GREENSYNC, an AI-powered smart agriculture platform designed to impro…
• An agentic AI framework for ingestion and standardization of single-cell RNA-seq data analysis
  2026 · AI 安全与对齐 · Abstract The proliferation of publicly available single-cell RNA sequencing (scRNA-seq) data has created significant opportunities in biomedical research. However, the reuse of these resources is constrained by a series …
• AI-Driven Automation of Construction Cost Estimation: Integrating BIM with Large Language Models
  2026 · AI 安全与对齐 · The construction industry faces challenges in estimating costs because the processes are time-consuming and involve a high likelihood of making errors. For instance, quantity take-offs are often inaccurate, and there is …
• Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI
  2026 · AI 安全与对齐 · Abstract Exponential growth in scientific literature has heightened the demand for efficient evidence-based synthesis, driving the rise of the field of automated meta-analysis (AMA) powered by natural language processing…
• Designing Cost-Optimal Human-AI Workflows for Retrieval-Augmented Generation: Analytical Framework and Industrial Case Study
  2026 · AI 驱动科学发现 · As Retrieval-Augmented Generation (RAG) systems are increasingly integrated into high-stakes service operations, organizations struggle to balance the efficiency of automation with the risks of AI hallucination. This pap…
• Human-in-the-Loop Artificial Intelligence: A Systematic Review of Concepts, Methods, and Applications
  2026 · 医疗人工智能 · The integration of human judgment into artificial intelligence (AI) systems has emerged as a key research direction, particularly for high-stakes applications where full automation remains insufficient. Human-in-the-Loop…
• A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions
  2026 · 仿生智能 · Background: Agents for computer use (ACUs) are systems that execute complex tasks on digital devices – such as personal computers or mobile phones – given instructions in natural language. These agents automate tasks by …
• AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0
  2026 · 深海科技 · Advancements in Industry 4.0 technologies, which combine big data analytics, robotics, and intelligent decision systems to enable new ways to increase automation in the industrial sector, have undergone significant trans…
• AI-driven digital twin-based security orchestration, automation and response for critical infrastructures
  2026 · 数字孪生 · Abstract The more critical infrastructures (CIs) being digitized, the more vulnerable they are regarding cyber security attacks. Digitisation-leveraging technologies in the Internet of Things (IoT) and Cyber-Physical Sys…
• Fusion Intelligence for Digital Twinning AI Data Centers: A Synergistic GenAI-PhyAI Approach
  2026 · 数字孪生 · The explosion in artificial intelligence (AI) applications is pushing the development of AI-dedicated data centers (AIDCs), creating management challenges that traditional methods and standalone AI solutions struggle to …
• Human-Centered optimization through Digital Twins, and Motion Capture Technologies of a manual activity in the logistics sector
  2026 · 数字孪生 · Industry 4.0 has enabled significant technological advances for industrial applications, creating new business opportunities but often neglecting how operators interact with increasingly complex systems. In contrast, Ind…
• Design of a Virtual LiDAR System Simulation Training Platform for Port Automation Equipment Based on Digital Twin
  2026 · 数字孪生 · As the core sensing method for port automation equipment, LiDAR is widely used in spatial distance measurement, three-dimensional positioning, and environmental perception. However, its ranging mechanism, parameter confi…
• Digital materials ecosystem: from databases to AI agents for autonomous discovery
  2026 · 数字孪生 · The concept of a digital materials ecosystem represents a new paradigm in materials research, where data, theory, and automation are integrated into a unified and iterative framework. By combining reliable databases, phy…
• A Hierarchical Framework Leveraging IIoT Networks, IoT Hub, and Device Twins for Intelligent Industrial Automation
  2026 · 数字孪生 · Industrial Internet of Things (IIoT) networks, Microsoft Azure Internet of Things (IoT) Hub, and device twins (DvT) are increasingly recognized as core enablers of adaptive, data-driven manufacturing. This paper proposes…
• From Automation to Autonomy: A Digital Twin Framework for Transparent Agent and Human Collaboration in Industrial Multi-Agent Systems
  2026 · 数字孪生 · With the advancement of digitization in the era of Industry 4.0 (I4.0), highly automated, semi-autonomous, and fully autonomous systems are emerging. Within this context, multi-agent systems (MAS) offer a promising appro…
• Sustainable Automation of Monitoring and Production Accounting in Greenhouse Complexes Using Integrated AI, Robotics, and Data Systems
  2026 · 数字孪生 · Production greenhouse complexes increasingly require automation and digitalization to address rising labor costs, improve productivity, and support sustainable resource use. However, most existing solutions target isolat…
• Synergy between Digital Twin and Cyber-Physical System in Manufacturing
  2026 · 数字孪生 · The rapid digitalization of manufacturing systems has led to the emergence of Cyber-Physical Systems (CPS) and Digital Twins (DTs) as key enablers of the Industry 4.0 revolution. While CPS provides real-time sensing, com…
• Smart IoT Infrastructure for Workplace Efficiency and Energy Savings
  2026 · 数字孪生 · The rapid digitization of modern workplaces has led to increased reliance on electrical equipment, automated systems, and digital infrastructure, resulting in higher energy consumption and operational complexity. Convent…
• A Critical Review Exploring the Interplay Between Advanced Technologies and Innovation Ecosystems in Industry 5.0 Scenario
  2026 · 数字孪生 · ABSTRACT Unlike Industry 4.0, which primarily emphasized automation and efficiency, Industry 5.0 marks a transition toward human‐centricity, sustainability, and resilience. One of the key challenges for Industry 5.0 inno…
• AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0
  2026 · 数字孪生 · Advancements in Industry 4.0 technologies, which combine big data analytics, robotics, and intelligent decision systems to enable new ways to increase automation in the industrial sector, have undergone significant trans…
• INFORMATION-CONTROLLED MECHATRONIC SYSTEMS OF POWER SUPPLY AND AUTOMATION OF TECHNOLOGICAL PROCESSES IN THE AGRO-INDUSTRIAL COMPLEX
  2026 · 数字孪生 · The paper examines modern approaches to the development, research, and implementation of mechatronic systems for adaptive control of technological processes in the agro-industrial complex. Particular attention is paid to…
• AI-Enabled Digital Infrastructures for Safety, Security, and Resilience in Small Modular Reactors
  2026 · 核能 · Small Modular Reactors (SMRs) offer significant advantages in terms of safety, modular deployment, and operational flexibility, but their increasing reliance on digital instrumentation, automation, and connectivity intro…
• Digital materials ecosystem: from databases to AI agents for autonomous discovery
  2026 · 量子材料 · The concept of a digital materials ecosystem represents a new paradigm in materials research, where data, theory, and automation are integrated into a unified and iterative framework. By combining reliable databases, phy…
• Toward Robust Security Orchestration and Automated Response in Security Operations Centers with a Hyper-Automation Approach Using Agentic Artificial Intelligence
  2025 · AI Agent 生态 · The evolving landscape of cybersecurity threats demands the modernization of Security Operations Centers (SOCs) to enhance threat detection, response, and mitigation. Security Orchestration, Automation, and Response (SOA…
• DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation
  2025 · AI Agent 生态 · Existing large language model (LLM) agents for automating data science show promise, but they remain constrained by narrow task scopes, limited generalization across tasks and models, and over-reliance on state-of-the-ar…
• From AI Based Object Detection Model to Grape Yield Mapping for Precision Agriculture Applications
  2025 · 智慧农业 · Yield mapping in vineyards is crucial for agronomic and economic management, allowing for precision operations like pruning, harvesting, fertilization, irrigation, and soil management. This leads to optimized resource us…
• Robotics and Automation in Modern Agriculture
  2025 · 智慧农业 · The integration of robotics and automation in modern agriculture is transforming the landscape of food production, significantly enhancing efficiency, precision, and sustainability. This chapter explores the revolutionar…
• Melon Hydroponic Cultivation Based on Smart Farming Technology to Improve the Creative Economy
  2025 · 智慧农业 · Indonesia is an agricultural country that has a variety of agricultural commodities that can be developed in the horticulture sector. One of the agricultural products that comes from horticulture commodities and has a hi…
• IoT-Driven Smart Management in Broiler Farming: Simulation of Remote Sensing and Control Systems
  2025 · 智慧农业 · Parameter monitoring and control systems play a key role in industry because they support automation, helping to increase productivity and make better use of resources. These improvements focus on managing environmental …
• Bridging the Construction Productivity Gap—A Hierarchical Framework for the Age of Automation, Robotics, and AI
  2025 · AI 安全与对齐 · The construction sector, facing a persistent productivity gap compared to other industries, is hindered by fragmented value streams, inconsistent performance metrics, and the limited scalability of process improvements. …
• What is the role of AI-driven automation in static surgical guide design? A scoping review
  2025 · AI 安全与对齐 · OBJECTIVE: This scoping review aims to evaluate the extent of artificial intelligence (AI)- driven automation currently available for designing static surgical guides (SG) for implant placement and its correlation with i…
• Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow
  2025 · AI 安全与对齐 · Artificial intelligence (AI) and smart automation are revolutionizing the global supply chain ecosystem at an accelerated pace, providing tremendous potential for resilience, innovation, efficacy, and profitability. This…
• Integrating AI in Construction Estimation Education: A Comparative Study of Togal AI and Bluebeam Revu 20
  2025 · AI 安全与对齐 · ABSTRACT The integration of artificial intelligence (AI) into construction education is transforming how future professionals approach estimation tasks. This study examines the role of Togal AI—an AI‐powered estimation t…
• E2E Process Automation Leveraging Generative AI and IDP-Based Automation Agent: A Case Study on Corporate Expense Processing
  2025 · AI 安全与对齐 · This paper presents a case study of end-to-end (E2E) automation of corporate financial expense processing by combining generative AI (GenAI) and intelligent document processing (IDP) technologies with automation agents a…
• Leadership in radiology in the era of technological advancements and artificial intelligence
  2025 · 医疗人工智能 · Radiology has evolved from the pioneering days of X-ray imaging to a field rich in advanced technologies on the cusp of a transformative future driven by artificial intelligence (AI). As imaging workloads grow in volume …
• Artificial intelligence and computer-aided diagnosis in diagnostic decisions: 5 questions for medical informatics and human-computer interface research
  2025 · 医疗人工智能 · OBJECTIVES: Artificial intelligence (AI) has the potential to transform medical informatics by supporting clinical decision-making, reducing diagnostic errors, and improving workflows and efficiency. However, successful …
• The Role of Artificial Intelligence and Machine Learning in Polymer Characterization: Emerging Trends and Perspectives
  2025 · 医疗人工智能 · The application of artificial intelligence (AI) and machine learning (ML) is rapidly expanding and has begun to make a significant impact on polymer development and characterization. This perspective article explores the…
• ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnostics
  2025 · 医疗人工智能 · Rapid advancements in artificial intelligence (AI) and machine learning (ML) offer significant potential to transform medical microbiology diagnostics, improving pathogen identification, antimicrobial susceptibility pred…
• On the Possibility of Using Artificial Intelligence in Medicine: From Theory to Practice
  2025 · 医疗人工智能 · Modern life is inextricably linked with the latest technologies. Artificial intelligence (AI) poses a new challenge to humanity, the application of which affects all areas of life, including medicine. This article examin…
• Applications of artificial intelligence in non–small cell lung cancer: from precision diagnosis to personalized prognosis and therapy
  2025 · 医疗人工智能 · BACKGROUND: Non-small cell lung cancer (NSCLC) carries a major global burden. The rapid growth of multimodal medical data challenges conventional methods to deliver stable, transferable and interpretable decisions across…
• Application Areas of Computer Vision and AI in Intelligent Automation Systems
  2025 · 医疗人工智能 · The combination of artificial intelligence (AI) and computer vision (CV) has led to tremendous growth in industries such as manufacturing, healthcare, agriculture, transportation, and sports. BMW applications show how ro…
• 2025 IEEE International Conference on Robotics and Automation (ICRA)
  2025 · 深海科技 · The phenomenon of the “traveling wave,” com- monly observed in various organisms, involves a wave that propagates along the body, serving as a locomotion mechanism. Particularly, in aquatic environments, organisms such a…
• Cyber-physical Workbench for human digital twin integration: A system proposal
  2025 · 数字孪生 · "Industry 5.0" is the next step on an ever-evolving ecosystem with the objective of creating a symbiotic relation between automated processes and human workers, by bringing the human worker again to factory floors and us…
• Comparative Study of Digital Twin Developed in Unity and Gazebo
  2025 · 数字孪生 · Digital twin (DT) technology has become a cornerstone in the simulation and analysis of real-world systems, offering unparalleled insights into the lifecycle management of physical assets. By providing a real-time synchr…
• Digital twin enabled smart microgrid system for complete automation: An overview
  2025 · 数字孪生 · • This paper provides a structured framework for constructing Digital Twin-enabled Smart Microgrids, emphasizing automation to enhance device intelligence. • It identifies critical automation standards and proposes adapt…
• Ep. 106: Why Your AI Needs a Mouse and a Universal Power Strip
  2025 · 具身智能 · Episode summary: In this episode of My Weird Prompts, Herman and Corn explore the evolution of human-computer interaction, starting with Grace Hopper's vision in the 1950s and leading into the cutting-edge AI of late 202…
• A Framework for Integrating Robotic Process Automation with Artificial Intelligence Applied to Industry 5.0
  2025 · 具身智能 · The transition to Industry 5.0 highlights the growing integration of Robotic Process Automation (RPA) and Artificial Intelligence (AI) in industrial ecosystems. However, adoption remains fragmented, lacking standardized …
• Real-time human-robot interaction and service provision using hybrid intelligent computing framework
  2025 · 类脑计算 · Human-robot interaction has gained significant attention in various domains, including healthcare, customer service, and industrial automation. High computational cost, inefficient service matching, and elevated failure …
• Quantum Leap in Automation: Exploring Quantum Machine Learning for Enhanced Precision in Optoelectronic Robotic Systems
  2025 · 量子材料 · Quantum Machine Learning (QML) is a new direction within the investigation of presentday technologies that the developing need for accuracy in automated approaches has spurred.QML is changing the realm in optoelectronic …
• LLM-Based Framework for Administrative Task Automation in Healthcare
  2024 · AI Agent 生态 · Artificial Intelligence (AI) has been transformative in the healthcare sector, leading to enhanced precision in medical diagnosis, more effective treatment options, and a significant improvement in patient safety. Howeve…
• Multi-Agent Based Smart System for Supply Chain Management
  2024 · AI Agent 生态 · The supply chain comprises numerous components/ identities as suppliers, manufacturers, factories, warehouses, distributing agents, etc. These personalities are engaged in delivering raw materials, and components, which …
• Cloud Robotics and Automation
  2024 · 智慧农业 · Cloud robotics is currently regarded as one of the cutting-edge research areas within the mainstream automation and artificial intelligence fields. The new machine-to-cloud communication will increase the productivity an…
• ОСНОВНЫЕ НАПРАВЛЕНИЯ РОБОТИЗАЦИИ ЗЕМЛЕДЕЛИЯ
  2024 · 智慧农业 · Рассмотрены основные аспекты роботизации агрохимического обслуживания интенсивного земледелия, вклю- чая технологии точного земледелия. Доказана необходимость коренной автоматизации сельскохозяйственного производства из-…
• Unlocking Artificial Intelligence Adoption in Local Governments: Best Practice Lessons from Real-World Implementations
  2024 · AI 安全与对齐 · In an era marked by rapid technological progress, the pivotal role of Artificial Intelligence (AI) is increasingly evident across various sectors, including local governments. These governmental bodies are progressively …
• A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms
  2024 · AI 安全与对齐 · This paper introduces a collaborative, human-centred taxonomy of AI, algorithmic and automation harms. We argue that existing taxonomies, while valuable, can be narrow, unclear, typically cater to practitioners and gover…
• Developing Conceptual AI Models for Legal Text Interpretation and Regulatory Compliance Automation
  2024 · AI 安全与对齐 · Artificial Intelligence (AI) is progressively reshaping the legal and regulatory landscape by enhancing the ability to interpret legal texts and automate compliance processes. This paper proposes a conceptual AI model ta…

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