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software deployment

GeneTech 知识引擎共收录 414 篇相关科研实体，横跨 23 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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代表性文献（按质量分排序，前 60 条）

• AI-powered open-source infrastructure for accelerating materials discovery and advanced manufacturing
  2026 · AI 安全与对齐 · Abstract Recent advances in artificial intelligence (AI) offer significant opportunities to drive industrial transformation by addressing growing societal demands for products, techno-economic efficiency, and reduced car…
• Artificial Intelligence Implementation in Transfusion Medicine: Addressing the Challenges of Clinical Adoption
  2026 · AI 安全与对齐 · Artificial intelligence (AI) and machine learning (ML) are increasingly promoted to enhance transfusion and patient blood management, yet real-world implementation remains rare. We reviewed recent exemplar studies report…
• From Agents to Governance: Essential AI Skills for Clinicians in the Large Language Model Era
  2026 · AI 安全与对齐 · Large language models are rapidly transitioning from pilot schemes to routine clinical practice. This creates an urgent need for clinicians to develop the necessary skills to strike the right balance between seizing oppo…
• Survey on LLM Safety: Attacks, Defenses, Alignment, Metrics, and Guardrails
  2026 · AI 安全与对齐 · Abstract Large Language Models (LLM) have demonstrated remarkable capabilities across various applications, but their deployment raises critical safety concerns as potential misuse poses significant societal risks. This …
• Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
  2026 · 生物计算 · Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications, integrating cloud resources with edge devices to enable efficient, …
• 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…
• Artificial Intelligence-Enhanced Wearable Blood Pressure Monitoring in Resource-Limited Settings: A Co-Design of Sensors, Model, and Deployment
  2026 · 医疗人工智能 · Accurate blood pressure (BP) monitoring is essential for preventing and managing cardiovascular disease. Advancements in materials science, medicine, flexible electronic, and artificial intelligence (AI) have enabled cuf…
• The Evolution of Intelligent Digital Profiling: A Multi-Sectoral Synthesis of Explainable Artificial Intelligence and Federated Learning Frameworks
  2026 · 医疗人工智能 · Digital profiling has evolved into a cornerstone of computational intelligence, enabling the synthesis of complex user representations through the systematic analysis of multi-dimensional digital interactions. This study…
• Assessing Renewable Energy Import Pathways for Singapore: Synergies and Trade-offs with Carbon Capture and Storage
  2026 · 碳中和与 CCUS · A strong dependence on natural gas, limited domestic renewable resources, and strict reliability requirements shape Singapore’s power system decarbonization pathway. This study evaluates the implications of Singapore’s C…
• Bioenergy carbon capture storage and utilization: a critical review of market dynamics and policy implications.
  2026 · 碳中和与 CCUS · Bioenergy with carbon capture, utilization, and storage (BECCUS) is a competent technology with the potential to address global climate change challenges. However, its deployment faces significant hurdles across technolo…
• A Microflow and Bioinspired Dendritic Topology Optimization for CO 2 Capture, Utilization and Storage Hubs in China: Integrating Microfluid Dynamics with Macro-Scale Infrastructure Design
  2026 · 碳中和与 CCUS · High Resolution Image Download MS PowerPoint Slide Large-scale carbon capture, utilization, and storage (CCUS) is pivotal for global net-zero transitions, yet its deployment is constrained by suboptimal pipeline network …
• High-capture-rate carbon capture and storage enables cost-effective decarbonization of Europe’s power sector
  2026 · 碳中和与 CCUS · Abstract Reducing reliance on fossil fuels is essential for achieving international climate goals, but an immediate phase-out can create economic and system reliability challenges. A transitional option is to equip fossi…
• Designing a Policy Mechanism for Long-Duration Energy Storage: The British Experience.
  2026 · 碳中和与 CCUS · Purpose of review: The UK parliament recently introduced a cap-and-floor mechanism for net revenues of Long-Duration Energy Storage in Great Britain (GB). The article summarizes learnings from the UK proceedings around f…
• Comparative assessment of United States coastal hubs for large scale electrochemical marine carbon dioxide removal
  2026 · 碳中和与 CCUS · Removing carbon dioxide from the atmosphere is essential to meet climate targets and limit global warming. Oceans already absorb a large share of carbon dioxide, and electrochemical methods can strengthen this process by…
• Hydrothermal Humification of Biomass for Circular Carbon Management in Sustainable Agro‐Ecosystems
  2026 · 碳中和与 CCUS · Hydrothermal humification (HTH) is emerging as a low-carbon approach for valorizing biomass into hydrothermal humic acid (HHA), a multifunctional soil amendment with potential to enhance soil carbon sequestration and cli…
• Dynamic Water-Energy-Carbon Trade-Off Optimization for Heavy Industry Decarbonization via Deep Reinforcement Learning: A UK Case Study
  2026 · 碳中和与 CCUS · In recent years, the industrial decarbonization in the cement sector has introduced secondary environmental impact due to an increase in power and water demand. Deploying carbon capture, utilization, and distributed stor…
• Long-term scenarios and energy system impacts of technological carbon dioxide removal deployment in Finland
  2026 · 碳中和与 CCUS · Abstract This study analyzed energy system impacts of technological carbon dioxide removal (CDR) deployment in Finland. We modeled long-term scenarios up to 2050 for four CDR technologies: bioenergy with carbon capture a…
• A Whole Systems Thinking Model Towards Optimal Decarbonization Strategies for China’s Cement Sector
  2026 · 碳中和与 CCUS · China's cement industry accounts for over half of global production and contributes 8% of global CO2 emissions, making its decarbonization critical for achieving climate targets. While carbon capture and storage (CCS) an…
• Reducing the cost of CO2 capture by improving the solvent regeneration process
  2026 · 碳中和与 CCUS · Global greenhouse gas emissions continue to rise, with 2024 marking the highest annual levels on record, despite the rapid and unprecedented growth in renewable energy. Achieving rapid and deep emission reductions requir…
• Co-Benefits of Solar PV Expansion and CCUS Deployment for Carbon and Air-Pollutant Reduction in Guangxi’s Power System: A LEAP-Based Scenario Analysis to 2060
  2026 · 碳中和与 CCUS · Provincial power systems must decarbonize while sustaining rapid demand growth and improving air quality; yet, few integrated assessments separate the contributions of renewable expansion and carbon capture, utilization,…
• Decarbonizing Chemical Feedstocks: Patent-Based Evidence on Rising Utilization of Pyrolysis and Carbon Capture
  2026 · 碳中和与 CCUS · The chemicals industry remains structurally dependent on fossil-derived feedstocks, even as efforts to reduce operational emissions continue. This paper provides patent-based evidence on innovation in alternative feedsto…
• A low-carbon hydrogen deployment model for Scotland
  2026 · 碳中和与 CCUS · The report describes the development of a hydrogen deployment model for Scotland and its use in testing potential deployment scenarios. The model provides a quantitative, user friendly tool for translating a variety of a…
• Advances in monitoring technologies for CO₂ geological storage: A review from the laboratory to field-scale applications
  2026 · 碳中和与 CCUS · CO₂ geological storage is a pivotal technology for achieving the global targets of carbon peaking and carbon neutrality. However, the potential risks of CO₂ leakage to environmental safety and long-term storage efficacy …
• Real-time digital twin prototype for cyber-physical analysis of anomalies in PV–PEM–BESS systems for green hydrogen production
  2026 · 数字孪生 · The deployment of hybrid green hydrogen systems faces challenges due to complex integration and exposure to cyber threats. The lack of secure testbeds to replicate severe anomalies limits the analysis of fault propagatio…
• Enhancing IIoT Security Using Digital Twins in Industry 5.0: A Systematic Literature Review
  2026 · 数字孪生 · The rapid advancement of Industry 5.0 and the concurrent growth of the Industrial Internet of Things (IIoT) present significant cybersecurity challenges necessitating advanced solutions. Digital Twin technology, which en…
• A Lightweight Web3D Digital Twin Framework for Real-Time ESG Monitoring Using IoT Sensors
  2026 · 数字孪生 · Existing Environmental, Social, and Governance (ESG) monitoring approaches rely primarily on static reports and dashboard-based interfaces, limiting real-time analysis and interactive exploration of sustainability data i…
• A closed-loop framework integrating robotic inspection and digital twins for fatigue prognosis of in-service steel bridges
  2026 · 数字孪生 · Fatigue cracking threatens the safety of orthotropic steel decks (OSDs) in long-span bridges, yet current manual inspection lacks predictive depth. We present a closed-loop framework integrating autonomous robotic inspec…
• Achieving clinically meaningful outcomes in digital health: a six-step, cyclical precision engagement framework (ENGAGE)
  2026 · 数字孪生 · By leveraging everyday technologies such as mobile apps, wearables, and AI-enabled tools, digital health interventions (DHIs) offer new pathways to integrate self-management and intervention programs into the fabric of d…
• Digital Twin-Enabled Thermal Energy Management System for Sustainable Manufacturing Process Optimization
  2026 · 数字孪生 · Manufacturing processes consume substantial thermal energy, yet siloed management approaches cannot exploit facility-wide synergies. This study develops and validates an integrated Digital Twin (DT) that fuses physics-ba…
• AI-Driven Fault Detection and O&M for Wind Turbine Drivetrains: A Review of SCADA, CMS and Digital Twin Integration
  2026 · 数字孪生 · The rapid expansion of wind energy has increased the operational complexity of wind turbines, where component degradation, environmental variability, and maintenance decisions are tightly coupled. Artificial intelligence…
• Digital twins for lifespan prediction of used storage racks
  2026 · 数字孪生 · Digital twins (DTs) are vital tools to (1) model products or systems at their design stages and (2) monitor systems' conditions and predict their lifespans in their deployment stages. However, not many real-world case st…
• A Composable Architectural Model for Digital Twin Computing Applications
  2026 · 数字孪生 · Digital Twins (DTs) are increasingly deployed in Industry 4.0 to enable real-time monitoring, analysis, and control, yet the transition from isolated DT instances to plant-wide ecosystems across cloud and edge infrastruc…
• Digital Twin Approach to Accessibility Assessment of Public Transport
  2026 · 数字孪生 · Abstract. Accessibility assessment of public transport systems is essential for ensuring that infrastructure remains inclusive for individuals with disabilities or mobility impairments. However, the sheer size of public …
• Toward application-driven battery design through digital twins
  2026 · 数字孪生 · In present energy technology, materials discovery, device design, manufacturing, and operation remain predominantly sequential, with limited cross-stage feedback throughout the development chain. Recent advances are, how…
• 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…
• A Solution for Heritage Monitoring Based on Wireless Low-Cost Sensors and BIM: Application to the Monserrate Palace
  2026 · 数字孪生 · Conservation and management of built cultural heritage require multidisciplinary approaches and reliable information to support decision-making. In this context, digital transformation strategies that combine Building In…
• A Multi-Dimensional Digital Twin Framework for the Low-Altitude Economy
  2026 · 数字孪生 · Abstract. The Low-Altitude Economy (LAE), driven by the widespread deployment of UAVs and eVTOL aircraft, demands a high-fidelity Digital Twin that extends far beyond static geographic representation. This study presents…
• Framework for Integrating Digital Twin Technology in the Real Estate Industry (CREST)
  2026 · 数字孪生 · The majority of commercial real estate (CRE) Digital Twin (DT) pilots do not progress to production. The core obstacle is not technology, it is the persistent fragmentation of lifecycle data across BIM platforms, buildin…
• AI-Driven Virtual Power Plants: A Comprehensive Review
  2026 · 数字孪生 · The rapid proliferation of distributed energy resources (DERs), including photovoltaics, wind power, battery energy storage, and electric vehicles, has transformed traditional power systems into highly decentralized and …
• PRISM: Decision-Centric Predictive Sensing for Cognitive Digital Twins in 6G
  2026 · 数字孪生 · Integrated sensing and communication (ISAC) and Digital Twin (DT) technology have emerged as complementary for future wireless networks that require autonomous operations involving continuous interaction between physical…
• Digital Twin in Smart Manufacturing: A Systematic Literature Review on Predictive Decision-Making, Industrial Sustainability, and Process Optimization
  2026 · 数字孪生 · The rapid advancement of Industry 4.0 has accelerated the adoption of Digital Twin (DT) technology in smart manufacturing systems. DT enables virtual replication of physical assets, supporting real-time monitoring, predi…
• Cloud-Native Enterprise Resource Management for Multi-Sector Operations
  2026 · 数字孪生 · Enterprise Resource Management (ERM) systems play a vital role in integrating and coordinating organizational resources across finance, operations, human resources, procurement, and supply chains. Despite their importanc…
• 2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
  2026 · 数字孪生 · The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy across industrial value chains. However, t…
• AI-powered open-source infrastructure for accelerating materials discovery and advanced manufacturing
  2026 · 数字孪生 · Abstract Recent advances in artificial intelligence (AI) offer significant opportunities to drive industrial transformation by addressing growing societal demands for products, techno-economic efficiency, and reduced car…
• Digital twin enabled robot collision detection using time series forecasting
  2026 · 数字孪生 · Abstract The advent of Industry 4.0 has reshaped modern manufacturing, driven by breakthroughs in cutting-edge technologies. A key example is the widespread deployment of sensors, which capture and transmit large volumes…
• A Review of Federated Large Language Models for Industry 4.0
  2026 · 数字孪生 · Industry 4.0 envisions a highly interconnected, autonomous manufacturing ecosystem enabled by the Industrial Internet of Things, Cyber-Physical Systems, and Artificial Intelligence. The emergence of large language models…
• AI Agents and Agentic AI–navigating a plethora of concepts for future manufacturing
  2025 · AI Agent 生态 · AI agents are autonomous systems designed to perceive, reason, and act within dynamic environments. With the rapid advancements in generative AI (GenAI), large language models (LLMs) and multimodal large language models …
• MedAgentBench: A Virtual EHR Environment to Benchmark Medical LLM Agents
  2025 · AI Agent 生态 · BACKGROUND Recent large language models (LLMs) have demonstrated significant advancements, particularly in their ability to serve as agents, thereby surpassing their traditional role as chatbots.These agents can leverage…
• AI Trustworthiness in Manufacturing: Challenges, Toolkits, and the Path to Industry 5.0
  2025 · AI 安全与对齐 · The integration of Artificial Intelligence (AI) into manufacturing is transforming the industry by advancing predictive maintenance, quality control, and supply chain optimisation, while also driving the shift from Indus…
• Generative and Predictive AI for digital twin systems in manufacturing
  2025 · AI 安全与对齐 · The integration of Artificial Intelligence (AI) and Digital Twin (DT) technology is reshaping modern manufacturing by enabling real-time monitoring, predictive maintenance, and intelligent process optimisation. This pape…
• Participatory AI and the EU AI Act
  2025 · AI 安全与对齐 · Participatory AI calls for the involvement of stakeholders in AI design, development, evaluation, and deployment to attain more inclusive, transparent, and accountable AI. However, actual implementations of participatory…
• Towards Intelligent Universities Enhanced with Artificial Intelligence (AI)
  2025 · AI 安全与对齐 · This paper presents a comprehensive and integrated paradigm for intelligent universities using artificial intelligence (AI) to transform management systems and teaching, thus complementing sustainable development objecti…
• AI-Enabled Customised Workflows for Smarter Supply Chain Optimisation: A Feasibility Study
  2025 · AI 安全与对齐 · This study investigates the integration of Large Language Models (LLMs) into supply chain workflow automation, with a focus on their technical, operational, financial, and socio-technical implications. Building on Dynami…
• Innovative Guardrails for Generative AI: Designing an Intelligent Filter for Safe and Responsible LLM Deployment
  2025 · AI 安全与对齐 · This paper proposes a technological framework designed to mitigate the inherent risks associated with the deployment of artificial intelligence (AI) in decision-making and task execution within the management processes. …
• A Comprehensive Review of Remote Sensing and Artificial Intelligence Integration: Advances, Applications, and Challenges
  2025 · AI 安全与对齐 · The integration of remote sensing (RS) and artificial intelligence (AI) has revolutionized Earth observation, enabling automated, efficient, and precise analysis of vast and complex datasets. RS techniques, leveraging sa…
• Harnessing AI in critical care: opportunities, challenges and key steps for success
  2025 · AI 安全与对齐 · BACKGROUND: The integration of artificial intelligence (AI) into critical care offers significant potential to enhance early diagnosis, predict patient deterioration, personalise treatment and inform clinical decision-ma…
• A Review of Multi-Sensor Fusion in Autonomous Driving
  2025 · AI 安全与对齐 · Multi-modal sensor fusion has become a cornerstone of robust autonomous driving systems, enabling perception models to integrate complementary cues from cameras, LiDARs, radars, and other modalities. This survey provides…
• A comprehensive review of AI-native 6G: integrating semantic communications, reconfigurable intelligent surfaces, and edge intelligence for next-generation connectivity
  2025 · AI 安全与对齐 · This review explores the evolving vision of sixth-generation (6G) networks as a paradigm shift from conventional data-centric communication to intelligence-native architectures, where meaning, context, and adaptive decis…
• A Review of Integrated Carbon Capture and Hydrogen Storage: AI-Driven Optimization for Efficiency and Scalability
  2025 · AI 安全与对齐 · Achieving global net-zero emissions by 2050 demands integrated and scalable strategies that unite decarbonization technologies across sectors. This review provides a forward-looking synthesis of carbon capture and storag…
• Rapid learning with phase-change memory-based in-memory computing through learning-to-learn
  2025 · 生物计算 · There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment site. However, current AI mode…

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