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domain mathematical analysis

GeneTech 知识引擎共收录 135 篇相关科研实体，横跨 19 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…
• Natural Language Processing (NLP)-Based Frameworks for Cyber Threat Intelligence and Early Prediction of Cyberattacks in Industry 4.0: A Systematic Literature Review
  2026 · 医疗人工智能 · This study provides a systematic overview of Natural Language Processing (NLP)-based frameworks for Cyber Threat Intelligence (CTI) and the early prediction of cyberattacks in Industry 4.0. As digital transformation acce…
• A knowledge graph framework for digital twins of chemical processes
  2026 · 数字孪生 · A digital twin, which virtually replicates a real system and fuses data, models and domain knowledge, is a key technology for accelerating chemical process development and addressing sustainability challenges. Despite it…
• Development of a Digital Twin for Robotic Inspection Using Computer Vision and Machine Learning
  2026 · 数字孪生 · This article reveals the creation and execution of a digital twin (DT) for the robotic inspection system of mechanical parts, applying the machine vision method. The examination is carried out on the KUKA iiwa robot that…
• Development of a Digital Twin for Robotic Inspection Using Computer Vision and Machine Learning
  2026 · 数字孪生 · This article reveals the creation and execution of a digital twin (DT) for the robotic inspection system of mechanical parts, applying the machine vision method. The examination is carried out on the KUKA iiwa robot that…
• AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework
  2025 · AI Agent 生态 · Rare, yet critical, scenarios pose a significant challenge in testing and evaluating autonomous driving planners. Relying solely on real-world driving scenes requires collecting massive datasets to capture these scenario…
• Data issues in industrial AI systems: A meta-review and research strategy
  2025 · AI 安全与对齐 · In the era of Industry 4.0, artificial intelligence (AI) is assumed to play an increasingly pivotal role within industrial systems. Despite the recent trend within various industries to adopt AI, the actual adoption of A…
• Design and evaluation of ChatGPT-MWPS: an AI-enhanced learning system for improving primary students’ mathematical word problem solving
  2025 · AI 安全与对齐 · Abstract Mathematical word problem solving is a fundamental aspect of primary mathematics education, yet students often struggle with translating textual descriptions into structured mathematical representations. In resp…
• Applications of AI in Space Domain
  2025 · AI 安全与对齐 · We observe a growing interest in satellites, driven by small and micro-satellites, as operations become more ambitious and there is the need of changing satellites’ missions over time during their expeditions. Artificial…
• 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…
• The Impact of Explainable AI on Teachers’ Trust and Acceptance of AI EdTech Recommendations: The Power of Domain-specific Explanations
  2025 · AI 驱动科学发现 · Trust is crucial for teachers’ adoption of AI-enhanced educational technologies (AI-EdTech), yet how this trust is formed and maintained remains poorly understood. An aspect of the system design that seems profoundly rel…
• A review on time domain diffuse optics: principles and applications on human biological tissues
  2025 · 生物计算 · Abstract The term diffusive media refers to all the media for which the photon diffusion equation provides an accurate description of light propagation. Indeed, this is the case for a plethora of natural media, such as b…
• Artificial Intelligence Outperforms Physicians in General Medical Knowledge, Except in the Paediatrics Domain: A Cross-Sectional Study
  2025 · 医疗人工智能 · Generative artificial intelligence (genAI) shows promising results in clinical practice. This study compared a GPT-4-turbo virtual assistant with physicians from Italy, France, Spain, and Portugal on medical knowledge de…
• Concept-based Explainable Artificial Intelligence: A Survey
  2025 · 医疗人工智能 · The field of explainable artificial intelligence emerged in response to the growing need for more transparent and reliable models. However, using raw features to provide explanations has been discussed in several works l…
• Artificial Intelligence in Educational Technology: A Systematic Review of Datasets and Applications
  2025 · 医疗人工智能 · Artificial Intelligence (AI) has the potential to impact a diverse range of domains. For instance, AI for the education domain has received increasing interest with various applications, including predicting performance,…
• Mapping the evolution and intellectual structure of innovation marketing research: a comprehensive bibliometric analysis (1972-2025)
  2025 · 脑科学 · Type of the article: Research ArticleAbstractInnovation marketing has emerged as a critical research domain due to rapid digital transformation, evolving consumer behaviors, and increasing sustainability demands that fun…
• Vision-Based Navigation and Perception for Autonomous Robots: Sensors, SLAM, Control Strategies, and Cross-Domain Applications—A Review
  2025 · 深海科技 · Camera-centric perception has matured into a cornerstone of modern autonomy, from self-driving cars and factory cobots to underwater and planetary exploration. This review synthesizes more than a decade of progress in vi…
• A data-centric framework for combating domain shift in underwater object detection with image enhancement
  2025 · 深海科技 · Abstract Underwater object detection has numerous applications in protecting, exploring, and exploiting aquatic environments. However, underwater environments pose a unique set of challenges for object detection includin…
• Theoretical Analyses and Performance Comparison of Physics-Based, Data-Driven, and Hybrid Models for Digital Twin Applications in Manufacturing
  2025 · 数字孪生 · Abstract Digital twins (DT) are increasingly important in modern manufacturing systems to extend the physical system’s capabilities and improve manufacturing key performance indicators. Nevertheless, selecting the most e…
• A Method for Model-Driven Engineering of Digital Twins in Manufacturing
  2025 · 数字孪生 · Several software architectures for digital twins have been proposed, specifying their structure and key components, such as the ISO 23247 standard for manufacturing. However, systematic methodologies for developing digit…
• Data-driven additive manufacturing with concrete: Enhancing in-line sensory data with domain knowledge, Part I: Geometry
  2025 · 数字孪生 · First-time-right manufacturing is an important step toward unlocking the full potential of digital fabrication with concrete (DFC), which can be advanced through data-driven approaches. Non-invasive in-line sensors can c…
• Spatial-Domain Wireless Jamming with Reconfigurable Intelligent Surfaces
  2025 · 6G 与卫星互联网 · Wireless communication infrastructure is a cornerstone of modern digital society, yet it remains vulnerable to the persistent threat of wireless jamming.Attackers can easily create radio interference to overshadow legiti…
• Multi‐Objective Resource Optimization in UAV ‐Enabled Heterogeneous Cellular Networks Using Serverless Federated Learning and Power‐Domain NOMA
  2025 · 6G 与卫星互联网 · ABSTRACT The integration of unmanned aerial vehicles (UAVs) into cellular networks has emerged as a promising solution to enhance connectivity and service quality in both urban and remote areas. In this paper, we propose…
• A Comprehensive Survey on LLM‐Based Network Management and Operations
  2025 · 6G 与卫星互联网 · ABSTRACT The growing demands for network capacity and the increasing complexities of modern network environments pose significant challenges for effective network management and operations. In response, network operators…
• Survey of Chiplet Technology: SoC Architecture, Interconnect, EDA, and Advanced Packaging
  2025 · 半导体与先进封装 · Chiplet technology has emerged as a transformative approach in integrated circuit design. Although it has attracted significant attention recently, there has been limited effort dedicated to clearly defining its concept,…
• AI in Context: Harnessing Domain Knowledge for Smarter Machine Learning
  2024 · AI 安全与对齐 · This article delves into the critical integration of domain knowledge into AI/ML systems across various industries, highlighting its importance in developing ethically responsible, effective, and contextually relevant so…
• DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels
  2024 · AI 安全与对齐 · Driven by generative AI and the Internet, there is an increasing availability of a wide variety of images, leading to the significant and popular task of cross-domain image retrieval. To reduce annotation costs and incre…
• Domain adaptation in small-scale and heterogeneous biological datasets
  2024 · AI 安全与对齐 · Machine-learning models are key to modern biology, yet models trained on one dataset are often not generalizable to other datasets from different cohorts or laboratories due to both technical and biological differences. …
• Domain adaptation in small-scale and heterogeneous biological datasets
  2024 · 生物计算 · Machine-learning models are key to modern biology, yet models trained on one dataset are often not generalizable to other datasets from different cohorts or laboratories due to both technical and biological differences. …
• Effective Use of Computational Biology and Artificial Intelligence in the Domain of Medical Oncology
  2024 · 医疗人工智能 · Computational biology and artificial intelligence (AI) have become indispensable assets in the specialized field of medicine, especially in oncology, fundamentally altering our understanding and management of cancer. Thi…
• Explainable Artificial Intelligence in Paediatric: Challenges for the Future
  2024 · 医疗人工智能 · Background: Explainable artificial intelligence (XAI) emerged to improve the transparency of machine learning models and increase understanding of how models make actions and decisions. It helps to present complex models…
• Notice of Removal March 3, 2026: Domain Adaptation and Generalization of Functional Medical Data: A Systematic Survey of Brain Data
  2024 · 仿生智能 · In spite of the excellent capabilities of machine learning algorithms, their performance deteriorates when the distribution of test data differs from the distribution of training data. In medical data research, this prob…
• Notice of Removal March 3, 2026: Domain Adaptation and Generalization of Functional Medical Data: A Systematic Survey of Brain Data
  2024 · 脑科学 · In spite of the excellent capabilities of machine learning algorithms, their performance deteriorates when the distribution of test data differs from the distribution of training data. In medical data research, this prob…
• Environmental Constraints for Intelligent Internet of Deep-Sea/Underwater Things Relying on Enterprise Architecture Approach
  2024 · 深海科技 · Through the use of Underwater Smart Sensor Networks (USSNs), Marine Observatories (MOs) provide continuous ocean monitoring. Deployed sensors may not perform as intended due to the heterogeneity of USSN devices' hardware…
• Virtual Reality and Internet of Things Based Digital Twin for Smart City Cross-Domain Interoperability
  2024 · 数字孪生 · The fusion of Internet of Things (IoT), Digital Twins, and Virtual Reality (VR) technologies marks a pivotal advancement in urban development, offering new services to citizens and municipalities in urban environments. T…
• Chip and Package-Scale Interconnects for General-Purpose, Domain-Specific, and Quantum Computing Systems—Overview, Challenges, and Opportunities
  2024 · 量子计算 · The anticipated end of Moore’s law, coupled with the breakdown of Dennard scaling, compelled everyone to conceive forthcoming computing systems once transistors reach their limits. Three leading approaches to circumvent …
• Designing workflows for materials characterization
  2024 · 量子材料 · Experimental science is enabled by the combination of synthesis, imaging, and functional characterization organized into evolving discovery loop. Synthesis of new material is typically followed by a set of characterizati…
• MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
  2023 · AI Agent 生态 · Remarkable progress has been made on automated problem solving through societies of agents based on large language models (LLMs). Existing LLM-based multi-agent systems can already solve simple dialogue tasks. Solutions …
• CLIP in Medical Imaging: A Survey
  2023 · 医疗人工智能 · Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training paradigm, successfully introduces text supervision to vision models. It has shown promising results across various tasks due to its gene…
• Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
  2023 · 医疗人工智能 · Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in each domain is driven by a growing body of annotated data, increased computational resources, and technological innovations. …
• An Overview of Open Source Deep Learning-Based Libraries for Neuroscience
  2023 · 脑科学 · In recent years, deep learning has revolutionized machine learning and its applications, producing results comparable to human experts in several domains, including neuroscience. Each year, hundreds of scientific publica…
• Security Analysis of a Digital Twin Framework Using Probabilistic Model Checking
  2023 · 数字孪生 · Digital Twins (DTs) have been gaining popularity in various applications, such as smart manufacturing, smart energy, smart mobility, and smart healthcare. In simple terms, DT is described as a virtual replica of a given …
• Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts
  2023 · 数字孪生 · Digital twins are emerging as a prime analysis, prediction, and control concepts for enabling the Industrie 4.0 vision of cyber-physical production systems (CPPSs). Today’s growing complexity and volatility cannot be han…
• DROPO: Sim-to-real transfer with offline domain randomization
  2023 · 具身智能 · In recent years, domain randomization over dynamics parameters has gained a lot of traction as a method for sim-to-real transfer of reinforcement learning policies in robotic manipulation; however, finding optimal random…
• Kalman Filter-Based One-Shot Sim-to-Real Transfer Learning
  2023 · 具身智能 · Deepreinforcement learning algorithms offer a promising method for industrial robots to tackle unstructured and complex scenarios that are difficult to model. However, due to constraints related to equipment lifespan and…
• A novel AI-driven approach to greenwashing: breakthroughs in the future fit between domain-specific Islamic enterprises with varying developmental progress and ESG landscapes
  2025 · AI 安全与对齐 · Abstract This research presents an innovative framework for exploring the phenomenon of greenwashing within the context of domain-specific enterprises that are adapting to diverse institutional landscapes. This is achiev…
• Adaptive Dual-domain Learning for Underwater Image Enhancement
  2025 · 深海科技 · Recently, learning-based Underwater Image Enhancement (UIE) methods have demonstrated promising performance. However, existing learning-based methods still face two challenges. 1) They rarely consider the inconsistent de…
• Research Advancements in Digital Twin Technology for Smart Manufacturing
  2025 · 数字孪生 · This study presents a comprehensive bibliometric analysis of research developments in Digital Twin (DT) technology within the domain of smart manufacturing. Drawing on Scopus-indexed publications from 2010 to 2024, the s…
• Meaningful human control: actionable properties for AI system development
  2022 · AI Agent 生态 · Abstract How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situation…
• Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
  2022 · 医疗人工智能 · Cough acoustics contain multitudes of vital information about pathomorphological alterations in the respiratory system. Reliable and accurate detection of cough events by investigating the underlying cough latent feature…
• OCATA: a deep-learning-based digital twin for the optical time domain
  2022 · 数字孪生 · The development of digital twins to represent the optical transport network might enable multiple applications for network operation, including automation and fault management. In this work, we propose a deep-learning-ba…
• Digital twin‐assisted fault diagnosis system for robot joints with insufficient data
  2022 · 数字孪生 · Abstract The robot joint is an important component of the construction robot, and its fault diagnosis can ensure the exact execution of building jobs, stable operation, and timely prevention of probable safety mishaps. H…
• Toward a Practical Digital Twin Platform Tailored to the Requirements of Industrial Energy Systems
  2022 · 数字孪生 · Digitalization and concepts such as digital twins (DT) are expected to have huge potential to improve efficiency in industry, in particular, in the energy sector. Although the number and maturity of DT concepts is increa…
• Digital twins in the green life sciences
  2022 · 数字孪生 · Digital twins provide a new paradigm for the integrated use of sensor data, process-based and data-driven modelling, and user interaction, to explore the behaviour of individual objects and processes. Digital twins origi…
• Applying Digital Twin Technology in Higher Education: An Automation Line Case Study
  2022 · 数字孪生 · Production systems are being expanded to include Digital Twins (DTs) as part of increased industrial digitalization. DTs can bring benefits e.g., increase visibility, safety, and accessibility of the system. Further, dig…
• Machine-Learning-Based Digital Twin in Manufacturing: A Bibliometric Analysis and Evolutionary Overview
  2022 · 数字孪生 · The Digital Twin (DT) concept in the manufacturing industry has received considerable attention from researchers because of its versatile application potential. Machine Learning (ML) adds a new dimension to DT by enhanci…
• Artificial intelligence in clinical research of cancers
  2021 · 医疗人工智能 · Several factors, including advances in computational algorithms, the availability of high-performance computing hardware, and the assembly of large community-based databases, have led to the extensive application of Arti…
• The Enlightening Role of Explainable Artificial Intelligence in Chronic Wound Classification
  2021 · 医疗人工智能 · Artificial Intelligence (AI) has been among the most emerging research and industrial application fields, especially in the healthcare domain, but operated as a black-box model with a limited understanding of its inner w…
• Explainable Artificial Intelligence for Human Decision Support System in the Medical Domain
  2021 · 医疗人工智能 · In this paper, we present the potential of Explainable Artificial Intelligence methods for decision support in medical image analysis scenarios. Using three types of explainable methods applied to the same medical image …
• Brain-Computer Interface: Advancement and Challenges
  2021 · 仿生智能 · Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking resea…

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