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analytics

GeneTech 知识引擎共收录 125 篇相关科研实体，横跨 18 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。

年度产出趋势

代表性文献（按质量分排序，前 60 条）

• AI agent for autonomous optical networks: architectures, technologies, and prospects [Invited Tutorial]
  2026 · AI Agent 生态 · The growing demand for high-bandwidth, zero-trouble services is imposing unprecedented challenges on optical communication networks. Traditional human-centric network management approaches are increasingly inadequate for…
• A Triple-Intelligence Framework for Sustainable AI-Driven Workforce Analytics: Integrating Artificial Intelligence, Human Judgment, and Organizational Governance
  2026 · AI 安全与对齐 · The use of Artificial Intelligence (AI) within workforce analytics represents a paradigm shift in how organizations make decisions regarding their employees. While AI-enabled workforce analytics can enable proactive and …
• When Brands Listen Back: Adaptive Marketing Systems, Consumer Feedback Loops, and the Emergence of Responsive Market Intelligence
  2026 · AI 安全与对齐 · The rapid evolution of digital technologies has transformed traditional marketing systems into adaptive, feedback-driven architectures capable of generating real-time strategic intelligence. This study investigated how c…
• AI-enabled learning analytics use relates to physical literacy and engagement in university PE via smart teaching and personalised feedback
  2026 · AI 安全与对齐 · Digital transformation and AI-enabled learning analytics are reshaping higher education, and wearable-enabled analytics are increasingly used in embodied curricula such as university physical education (PE), but empirica…
• Healthcare Resource Allocation Predictor: A Machine Learning Approach for Optimizing Healthcare Resource Distribution
  2026 · 医疗人工智能 · This paper presents a Healthcare Resource Allocation Predictor using Machine Learning to improve the efficiency of healthcare resource management. Hospitals often face challenges such as increasing patient admissions, li…
• Healthcare Resource Allocation Predictor: A Machine Learning Approach for Optimizing Healthcare Resource Distribution
  2026 · 医疗人工智能 · This paper presents a Healthcare Resource Allocation Predictor using Machine Learning to improve the efficiency of healthcare resource management. Hospitals often face challenges such as increasing patient admissions, li…
• 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 …
• Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026)
  2026 · 数字孪生 · The International Conference on Future Chains Intelligence, Innovation & Integration: Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026) focuses on transforming supply chains through emerging technologies. Ce…
• Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026)
  2026 · 数字孪生 · The International Conference on Future Chains Intelligence, Innovation & Integration: Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026) focuses on transforming supply chains through emerging technologies. Ce…
• Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026)
  2026 · 数字孪生 · The International Conference on Future Chains Intelligence, Innovation & Integration: Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026) focuses on transforming supply chains through emerging technologies. Ce…
• Integration of Digital Twin Technology and Industry 4.0 Principles for Real-Time Structural Health Monitoring in Smart Manufacturing Facilities
  2026 · 数字孪生 · Within Industry 4.0 manufacturing environments, Structural Health Monitoring (SHM) is recognized as mission-critical; nevertheless, extant Digital Twin (DT) implementations seldom achieve deep fusion with the production …
• Cloud Native Fintech Analytics Platform for IoT Enabled Retail Networks
  2026 · 数字孪生 · The rapid digital transformation of retail ecosystems has accelerated the adoption of Internet of Things (IoT) technologies alongside fintech driven payment and financial management systems. Smart point-of-sale terminals…
• The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics
  2025 · AI Agent 生态 · Visual learning analytics (VLA) is becoming increasingly adopted in educational technologies and learning analytics dashboards to convey critical insights to students and educators. Yet many students experienced difficul…
• AI-POWERED PERSONALIZATION IN DIGITAL BANKING: A REVIEW OF CUSTOMER BEHAVIOR ANALYTICS AND ENGAGEMENT
  2025 · AI 安全与对齐 · The rapid evolution of digital banking has prompted financial institutions to integrate artificial intelligence (AI) technologies to deliver highly personalized and engaging customer experiences. As customer expectations…
• Empowering Instructors With AI: Evaluating the Impact of an AI-Driven Feedback Tool in Learning Analytics
  2025 · AI 安全与对齐 · Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning…
• AI-Powered Sentiment Analytics in Banking: A BERT and LSTM Perspective.
  2025 · AI 安全与对齐 · In recent years, the banking industry has witnessed a surge in digital feedback channels, where customers regularly share their experiences and opinions. Extracting meaningful insights from this unstructured data is vita…
• Machine Learning and Generative AI in Learning Analytics for Higher Education: A Systematic Review of Models, Trends, and Challenges
  2025 · AI 安全与对齐 · This systematic review examines how machine learning (ML) and generative AI (GenAI) have been integrated into learning analytics (LA) in higher education (2018–2025). Following PRISMA 2020, we screened 9590 records and i…
• Leveraging Big Data Analytics for Personalized Cancer Treatment: An Overview of Current Approaches and Future Directions
  2025 · AI 安全与对齐 · Big data analytics’ incorporation into customized cancer care is a revolutionary development in medical science. Using knowledge from genomic sequencing, electronic health records (EHRs), clinical trial databases, and so…
• A systematic review of multi-mode analytics for enhanced plant stress evaluation
  2025 · 地外矿物 · Introduction: Detecting plant stress is a critical challenge in agriculture, where early intervention is essential to enhance crop resilience and maximize yield. Conventional single-mode approaches often fail to capture …
• Artificial Intelligence and Big Data in Accounting: The Case of Commercial Banks in Jordan
  2025 · 医疗人工智能 · The integration of Artificial Intelligence (AI) and Big Data analytics is transforming the accounting and financial practices of commercial banks, particularly in emerging markets like Jordan. As the banking sector shift…
• 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 …
• Overview of Cement Bond Evaluation Methods in Carbon Capture, Utilisation, and Storage (CCUS) Projects—A Review
  2025 · 碳中和与 CCUS · Cement bond evaluation helps check wellbore integrity and zonal isolation in carbon capture, utilisation, and storage (CCUS) projects. This overview describes various cement bond evaluation methods, focusing on acoustic …
• AI-POWERED PERSONALIZATION IN DIGITAL BANKING: A REVIEW OF CUSTOMER BEHAVIOR ANALYTICS AND ENGAGEMENT
  2025 · 数字孪生 · The rapid evolution of digital banking has prompted financial institutions to integrate artificial intelligence (AI) technologies to deliver highly personalized and engaging customer experiences. As customer expectations…
• Machine learning and digital twins in smart irrigation: optimising water use through agricultural data analytics
  2025 · 数字孪生 · Efficient water use in agriculture is increasingly critical amid intensifying water scarcity and climate variability. This review synthesises current research on the integration of machine learning (ML) and digital twin …
• Smart Decision-Making: The Role of Digital Twins, Retrieval-Augmented Generation-Enhanced AI, and Learning Analytics
  2025 · 数字孪生 · Decision-making in higher education institutions faces complex challenges due to increasing data, regulatory demands, resource management, and changing educational needs. Effective decisions require accurate, timely insi…
• Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review
  2025 · 数字孪生 · Data-driven technologies in smart buildings offer significant opportunities to enhance energy efficiency, sustainability, and occupant comfort. However, the existing literature often lacks a holistic examination of the t…
• VisFactory: Adaptive Multimodal Digital Twin with Integrated Visual-Haptic-Auditory Analytics for Industry 4.0 Engineering Education
  2025 · 数字孪生 · Industry 4.0 has intensified the skills gap in industrial automation education, with graduates requiring extended on boarding periods and supplementary training investments averaging USD 11,500 per engineer. This paper i…
• A Comprehensive Review of Real-Time Feeder Monitoring and Auditing Systems: Architectures, Technologies, and Analytics for the Smart Grid
  2025 · 数字孪生 · Abstract: The modernization of power distribution networks into intelligent Smart Grids necessitates a paradigm shift from periodic, manual inspections to continuous, real-time feeder monitoring and auditing. Traditional…
• Artificial intelligence to improve cardiovascular population health
  2025 · 边缘智能 · With the advent of artificial intelligence (AI), novel opportunities arise to revolutionize healthcare delivery and improve population health. This review provides a state-of-the-art overview of recent advancements in AI…
• Federated Learning for Privacy-Preserving Apparel Supply Chain Analytics
  2025 · 隐私计算与数据要素 · The apparel industry operates through highly complex and globalized supply chains, where effective data analytics plays a critical role in improving demand forecasting, inventory management, logistics coordination, and s…
• Precision prevention in worksite health–A scoping review on research trends and gaps
  2024 · 智慧农业 · OBJECTIVES: To map the current state of precision prevention research in the workplace setting, specifically to study contexts and characteristics, and to analyze the precision prevention approach in the stages of risk a…
• Generative AI in K12: Analytics From Early Adoption
  2024 · AI 安全与对齐 · The integration of generative AI in K12 education and assessment development holds the potential to revolutionize instructional practices, assessment development, and content alignment. This article presents analytical i…
• Reviewing the role of AI and machine learning in supply chain analytics
  2024 · AI 安全与对齐 · The integration of Artificial Intelligence (AI) and Machine Learning (ML) in supply chain analytics has emerged as a transformative force in reshaping traditional logistics and operations. This review critically examines…
• A novel approach to sustainable behavior enhancement through AI-driven carbon footprint assessment and real-time analytics
  2024 · 碳中和与 CCUS · This research introduces an Artificial Intelligence-driven mobile application designed to help users calculate and reduce their Carbon Footprint (CFP). The proposed system employs an Intelligent Sustainable Behavior Trac…
• Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends
  2024 · 深海科技 · Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of the components in a real system has been destroyed, and some anomalies appear so that maintenance can be performed before a brea…
• Application Scenarios of Digital Twins for Smart Crop Farming through Cloud–Fog–Edge Infrastructure
  2024 · 数字孪生 · In the last decade, digital twin (DT) technology has received considerable attention across various domains, such as manufacturing, smart healthcare, and smart cities. The digital twin represents a digital representation…
• Digital Twin Technology in Built Environment: A Review of Applications, Capabilities and Challenges
  2024 · 数字孪生 · Digital Twin (DT) technology is a pivotal innovation within the built environment industry, facilitating digital transformation through advanced data integration and analytics. DTs have demonstrated significant benefits …
• The Future of Manufacturing with AI and Data Analytics
  2024 · 数字孪生 · This chapter explores the potential of applying AI and data analytics to transform manufacturing. It provides an overview of new research trends in smart manufacturing, including the use of IoT, big data, and advanced AI…
• Artificial intelligence and internet of things in manufacturing decision processes
  2024 · 数字孪生 · This paper explores the influence of the internet of things (IoT) and artificial intelligence (AI) on the decision-making processes of modern manufacturing systems. With the proliferation of IoT devices and the developme…
• REVIEWING THE TRANSFORMATIONAL IMPACT OF EDGE COMPUTING ON REAL-TIME DATA PROCESSING AND ANALYTICS
  2024 · 边缘智能 · Edge computing has emerged as a pivotal paradigm shift in the realm of data processing and analytics, revolutionizing the way organizations handle real-time data. This review presents a comprehensive review of the transf…
• AI-Integrated Market Access Strategies in Oncology: Using Predictive Analytics to Navigate Pricing, Reimbursement and Competitive Landscapes
  2023 · AI 安全与对齐 · The integration of Artificial Intelligence (AI) into oncology market access strategies is revolutionizing how pharmaceutical companies navigate complex pricing, reimbursement, and competitive landscapes. AI-driven predic…
• What is mineral informatics?
  2023 · 地外矿物 · Abstract Minerals are information-rich materials that offer researchers a glimpse into the evolution of planetary bodies. Thus, it is important to extract, analyze, and interpret this abundance of information to improve …
• At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives
  2023 · 医疗人工智能 · Given its advantages in low latency, fast response, context-aware services, mobility, and privacy preservation, edge computing has emerged as the key support for intelligent applications and 5G/6G Internet of things (IoT…
• Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review
  2023 · 医疗人工智能 · Rational Deep learning (DL) has demonstrated a remarkable performance in diagnostic imaging for various diseases and modalities and therefore has a high potential to be used as a clinical tool. However, current practice …
• Utility of ChatGPT in Clinical Practice
  2023 · 医疗人工智能 · ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical practice. In clinical decision support, ChatGPT has been used to generate accurate differential diagnosis lists, support cl…
• Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective
  2023 · 医疗人工智能 · Abstract The rapid and impromptu interest in the coupling of machine learning (ML) algorithms with wearable and contactless sensors aimed at tackling real‐world problems warrants a pedagogical study to understand all the…
• AI-Driven Predictive Analytics for Carbon Emission Reduction in Industrial Manufacturing: A Machine Learning Approach to Sustainable Production
  2023 · 碳中和与 CCUS · Industrial manufacturing is a major contributor to global carbon emissions, necessitating innovative strategies to mitigate environmental impact while maintaining efficiency. AI-driven predictive analytics, particularly …
• A state-of-the-art digital factory integrating digital twin for laser additive and subtractive manufacturing processes
  2023 · 数字孪生 · Purpose This study aims to discuss the state-of-the-art digital factory (DF) development combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive manufacturing (SM) processes. Th…
• Digital twin for healthy indoor environment: A vision for the post-pandemic era
  2023 · 数字孪生 · Indoor environment has significant impacts on human health as people spend 90% of their time indoors. The COVID-19 pandemic and the increased public health awareness have further elevated the urgency for cultivating and …
• Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization
  2023 · 数字孪生 · Mining digitalisation have been receiving significant attention due to the utilisation of advanced technologies, such as IoT, automation, and sensing. However, maximising the potential value of collected data in the mini…
• Digital Twins for Smart Spaces—Beyond IoT Analytics
  2023 · 数字孪生 · Smart spaces, physical spaces that are integrated with sensor-enabled IoT devices, are a powerful paradigm for optimizing the operations of the space and improving its quality for the occupants. Managing the applications…
• Integrated Architecture for IoTSG
  2023 · 数字孪生 · IoT is a new reality, affecting the energy industry with its cutting-edge advancements and real-time applications. It gathers actionable insights from sensor devices and gateway connectivity, then uses them to create cut…
• AI-Driven Predictive Analytics for Carbon Emission Reduction in Industrial Manufacturing: A Machine Learning Approach to Sustainable Production
  2023 · 数字孪生 · Industrial manufacturing is a major contributor to global carbon emissions, necessitating innovative strategies to mitigate environmental impact while maintaining efficiency. AI-driven predictive analytics, particularly …
• Data Attributes in Quality Monitoring of Manufacturing Processes: The Welding Case
  2023 · 数字孪生 · Quality monitoring of manufacturing processes is a field where data analytics can thrive. The attributes of the data, denoted with the famous ‘7V’, can be used to potentially measure different aspects of the fact that da…
• BUSINESS INTELLIGENCE TRANSFORMATION THROUGH AI AND DATA ANALYTICS
  2023 · 边缘智能 · This paper delves into the transformative role of Artificial Intelligence (AI) and Data Analytics in the realm of Business Intelligence (BI), marking a significant shift in the landscape of business decision-making and s…
• Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare
  2023 · 边缘智能 · The potential of artificial intelligence (AI) to transform value-based healthcare in the area of orthopedic surgery is examined in this research. Orthopedic surgeons and healthcare systems may improve patient outcomes, i…
• Personalized AI for workplace health promotion: performance management and healthcare worker engagement through digital analytics
  2026 · AI 安全与对齐 · Background: Artificial intelligence (AI) is increasingly being applied in healthcare work-places to promote worker wellbeing and optimize organizational performance. However, evidence on its effectiveness, adoption, and …
• Artificial intelligence-based digital twin framework for circular economy optimization in healthcare waste management
  2026 · 数字孪生 · Health care systems have grown to produce ever growing amounts of garbage, which further strain the environment, costs of running the system, and regulatory demands especially in the post pandemic period. The traditional…
• Digital twins and predictive analytics in smart aquaculture: A comprehensive review
  2026 · 数字孪生 · The rapid expansion of aquaculture has intensified the demand for intelligent production systems capable of improving efficiency, environmental sustainability, and operational resilience. Despite substantial advances in …
• Agentic AI for IT and Beyond: A Qualitative Analysis of Capabilities, Challenges, and Governance
  2025 · AI 安全与对齐 · Agentic AI represents a leap forward in AI, characterized by autonomous decision-making, adaptive reasoning, and innovative collaboration in dynamic environments. In their shift away from mere automation towards reflecti…

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