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robustness evolution

GeneTech 知识引擎共收录 273 篇相关科研实体，横跨 25 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）

• 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…
• APEG: Adaptive Physical Layer Authentication With Channel Extrapolation and Generative AI
  2026 · AI 安全与对齐 · With the rapid advancement of 6G, identity authentication has become increasingly critical for ensuring wireless security. The lightweight and keyless Physical Layer Authentication (PLA) is regarded as an instrumental se…
• Integrating Artificial intelligence within sustainable smart analytical chemistry for analyzing the divisor impact on UV-spectrophotometric efficiency of solifenacin and mirabegron combination
  2026 · AI 安全与对齐 · Abstract This study examines the influence of divisor selection on the efficacy of advanced analytical spectrophotometric methods that integrate artificial intelligence (AI), green-chemistry principles, and white-analyti…
• Toward automated regulatory decision-making: AI-assisted medical device risk classification with multimodal transformers and self-training
  2026 · AI 安全与对齐 · Accurate classification of medical device risk levels is essential for regulatory oversight and clinical safety. Manual classification is labour-intensive and prone to inconsistency, creating bottlenecks in regulatory pr…
• Expanding and Enhancing Neural Network-Based QM-AI Models for the Accurate Prediction of Halogen-π Interaction Energies in Protein Contexts
  2026 · AI 安全与对齐 · High Resolution Image Download MS PowerPoint Slide In this study, we extend a previously introduced QM-AI strategy for predicting halogen···π interaction energies from a single aromatic model (representing phenylalanine)…
• Artificial Intelligence for Pulmonary Abnormality Detection in Chest X-Ray Imaging: A Detailed Review of Methods, Datasets and Future Directions
  2026 · 医疗人工智能 · Chest X-ray (CXR) imaging remains the most widely used radiological modality for assessing pulmonary and cardiothoracic disease, yet its interpretation is inherently constrained by tissue superposition, subtle radiograph…
• Non-Invasive Brain-Computer Interfaces: Converging Frontiers in Neural Signal Decoding and Flexible Bioelectronics Integration
  2026 · 仿生智能 · The development of non-invasive brain-computer interfaces (BCIs) relies on multidisciplinary integration across neuroscience, artificial intelligence, flexible electronics, and systems engineering. Recent advances in dee…
• UAV Target Detection and Tracking Integrating a Dynamic Brain–Computer Interface
  2026 · 仿生智能 · To address the inherent limitations in the robustness of fully autonomous unmanned aerial vehicle (UAV) visual perception and the high cognitive workload associated with manual control, this paper proposes a human-in-the…
• Dynamic Carbon-Aware Scheduling for Electric Vehicle Fleets Using VMD-BSLO-CTL Forecasting and Multi-Objective MPC
  2026 · 碳中和与 CCUS · Accurate perception of dynamic carbon intensity is a prerequisite for low-carbon demand-side response. However, traditional grid-average carbon factors lack the spatio-temporal granularity required for real-time regulati…
• Robust optimal operating strategy for photovoltaic‐storage‐load virtual power plant considering dual uncertainties of photovoltaic output and electricity prices
  2026 · 碳中和与 CCUS · Abstract The widespread integration of photovoltaic (PV) power, energy storage systems, and other demand‐side resources highlights the importance of optimal dispatching for the PV‐storage‐load virtual power plant (VPP). …
• Modelling and Forecasting Concrete Demand for Sustainable Infrastructure Development in Developing Economies: Evidence from Ghana
  2026 · 碳中和与 CCUS · Rapid urbanization and infrastructure expansion in Ghana have intensified demand for concrete, yet reliable, context-specific forecasting tools to support long-term infrastructure planning and resource management remain …
• Optimizing Ventilation Inlet and Outlet Configurations using a UQ-Informed Robotic Sensing Platform
  2026 · 碳中和与 CCUS · It is of paramount importance to provide Indoor Air Quality (IAQ) as it can improve health, productivity, and well-being of the users while reducing the energy consumption. Needless to mention that the building sector co…
• Optimizing Ventilation Inlet and Outlet Configurations using a UQ-Informed Robotic Sensing Platform
  2026 · 碳中和与 CCUS · It is of paramount importance to provide Indoor Air Quality (IAQ) as it can improve health, productivity, and well-being of the users while reducing the energy consumption. Needless to mention that the building sector co…
• 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…
• Dual-Modal Vision–Sonar Object Detection for Underwater Robots Based on Deep Learning
  2026 · 深海科技 · Applying state-of-the-art RGB object detectors (e.g., YOLOv8) to underwater scenes often yields unstable performance due to scattering, absorption, illumination deficiency, and bandwidth-limited transmission that severel…
• Shedding Light on Explainable AI: Insights, Challenges, and the Future of Infrastructure Management
  2026 · 数字孪生 · This study presents a systematic review of Explainable Artificial Intelligence (XAI) applications in Transportation Infrastructure Management (TIM), focusing on predictive maintenance of safety-critical assets such as ra…
• Digital twin-driven fault diagnosis of power substations by multi-modal fusion learning
  2026 · 数字孪生 · Abstract Substations are critical infrastructures for ensuring reliable power system operation. With increasing digitalization and system complexity, the rapid growth of multi-source data poses significant challenges for…
• A consensus framework for digital twin development in lyophilization
  2026 · 数字孪生 · Abstract Digital twins (DTs) are emerging as the central enabler for an Industry 4.0 approach to pharmaceutical freeze-drying, promising real-time insight, closed-loop control and virtual validation of processes that are…
• Formal Integration of ISO/IEC Digital Twin Standards: A Layered Compliance Model with Uncertainty Quantification
  2026 · 数字孪生 · Digital Twin (DT) implementations in electrical and industrial systems are governed by fragmented ISO/IEC and IEC standards spanning terminology, architecture, interoperability, lifecycle management, and cybersecurity. T…
• Digital Twin-Based Imitation Learning for Human-Like and Efficient Driving of Mobile Robots in Virtual Factory Environments
  2026 · 数字孪生 · Abstract In smart manufacturing and flexible production systems, autonomous mobile robots must complete logistics tasks efficiently while exhibiting driving behaviors that human operators can interpret and accept. This s…
• Research on the Optimisation of Natural Gas Layered Scheduling for Offshore Platforms Based on Improved GA and MPC
  2026 · 数字孪生 · ABSTRACT Natural gas scheduling on offshore platforms is essential for ensuring safe and economically efficient production. Traditional control methods, such as PID, often exhibit limited robustness and slow response und…
• Decentralised Manufacturing as a Networked Cyber–Physical System: Formalising Free and Open-Source Software Governance and ML Adaptation for Distributed Robustness
  2026 · 数字孪生 · Decentralised manufacturing is expanding as digitally controlled fabrication tools become accessible to SMEs, independent operators, and community workshops outside traditional factory settings, but the resulting heterog…
• Digital Twin composition through causal analysis
  2026 · 数字孪生 · Digital Twins (DTs) are often engineered as modular models, but in real deployments they operate as interconnected subsystems whose variables influence each other. Composing DTs requires recovering cross-module dependenc…
• 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…
• Blockchain-based personalized federated learning framework for drug recommendation systems resilient to model poisoning
  2026 · 隐私计算与数据要素 · Abstract Federated learning enables multiple healthcare entities to collaboratively train a global model while ensuring patient data privacy through local model training without sharing raw data. However, FL remains vuln…
• DFCA: Decentralized Federated Clustering Algorithm
  2026 · 隐私计算与数据要素 · Clustered Federated Learning has emerged as an effective approach for handling heterogeneous data across clients by partitioning them into clusters with similar or identical data distributions. However, most existing met…
• Benchmarking quantum machine learning methods for intrusion detection on noisy quantum computers
  2026 · 量子材料 · Intrusion detection systems (IDS) are essential for identifying cyber threats in complex digital environments. Machine learning (ML) is widely used to improve IDS by detecting anomalies, but classical ML methods often st…
• Advancements and prospects in key technologies for robotic pollination in greenhouse pepper breeding: a review.
  2026 · 机器人零部件 · Robotic pollination represents a pivotal component of smart agriculture, with foundational architectures for target recognition, path planning, and motion control having been progressively established. However, developin…
• 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…
• AI-empowered digital twin modeling for high-precision building defect management integrating UAV and GeoBIM
  2025 · AI 安全与对齐 · Abstract Recent advances in artificial intelligence (AI) and cyber-physical systems have fostered innovative approaches to performance assessment and management of existing building stock. This study presents an AI-assis…
• Explainable multilingual and multimodal fake-news detection: toward robust and trustworthy AI for combating misinformation
  2025 · AI 安全与对齐 · Fake-news detection requires systems that are multilingual, multimodal, and explainable-yet the majority of the existing models are English-centric, text-only, and opaque. This study introduces two key innovations: (i) a…
• Enhancing the Robustness of AI-Generated Text Detectors: A Survey
  2025 · AI 安全与对齐 · In recent years, AI-generated text (AIGT) detection has attracted increasing attention, and some detectors demonstrate high accuracy in benchmark settings. However, the complexity and diversity of AIGT and counter-detect…
• ProtAlign-ARG: antibiotic resistance gene characterization integrating protein language models and alignment-based scoring
  2025 · AI 安全与对齐 · The evolution and spread of antibiotic resistance pose a global health challenge. Whole genome and metagenomic sequencing offer a promising approach to monitoring the spread, but typical alignment-based approaches for an…
• A Dual Digital Twin Framework for Reinforcement Learning: Bridging Webots and MuJoCo with Generative AI and Alignment Strategies
  2025 · AI 安全与对齐 · Deep reinforcement learning (DRL) has shown potential for robotic training in virtual environments; however, challenges remain in bridging simulation and real-world deployment. This paper introduces an extended reinforce…
• Systematic Literature Review on Merging AI-Based Wildfire Detection with Bee Bioacoustics: A Hybrid Environmental Sensing Approach
  2025 · AI 安全与对齐 · The increasing frequency and severity of wildfires, exacerbated by climate variability and human activities, demand innovative solutions for early detection and risk assessment. This systematic review critically examines…
• A Comprehensive Framework for the Development of a Compact, Cost-Effective, and Robust Hyperspectral Camera Using COTS Components and a VPH Grism
  2025 · 地外矿物 · Hyperspectral imaging (HSI) is an effective technique for material identification and classification, utilizing spectral signatures with applications in remote sensing, environmental monitoring, and allied disciplines. D…
• Conformal prediction for uncertainty quantification in dynamic biological systems
  2025 · 生物计算 · Uncertainty quantification (UQ) is the process of systematically determining and characterizing the degree of confidence in computational model predictions. In systems biology, and particularly with dynamic models, UQ is…
• Analyzing enablers of artificial intelligence for decarbonization: implications for circular supply chains
  2025 · 医疗人工智能 · Abstract This study comprehensively explores the pivotal position that Artificial Intelligence (AI) enables on the advancement of decarbonization efforts, mainly in the context of Circular Supply Chains (CSCs). Employing…
• High-Robustness, Compact Bi₂O₂Se-Based NIR Retinal Sensor for Bionic Vision Systems
  2025 · 仿生智能 · The near-infrared (NIR) vision system has demonstrated unique advantages in bionic vision, particularly excelling in low-light and complex environments. The retinal sensor, as the core input component of the bionic visio…
• Robust Motor Imagery-Brain-Computer Interface Classification in Signal Degradation: A Multi-Window Ensemble Approach.
  2025 · 仿生智能 · Electroencephalography (EEG)-based brain–computer interface (BCI) mimics the brain’s intrinsic information-processing mechanisms by translating neural oscillations into actionable commands. In motor imagery (MI) BCI, ima…
• Towards real time efficient and robust ECoG decoding for mobile brain–computer interface
  2025 · 仿生智能 · Abstract Objective. Decoding locomotion-related brain activities from electrocorticographic (ECoG) signals is essential in brain–computer interfaces (BCIs). Most previous ECoG decoders are computationally demanding and s…
• Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices
  2025 · 仿生智能 · The timely and accurate detection of brain tumors is crucial for effective medical intervention, especially in resource-constrained settings. This study proposes a lightweight and efficient RetinaNet variant tailored for…
• Critical Review on Brain–Computer Interfaces (BCIs) for Effective Human–Machine Interactions (HMIs)
  2025 · 仿生智能 · Brain–computer interfaces (BCIs) can be applied to interact with humans and intelligent machines more effectively. This paper explores the feasibility of fusing humans′ and machines′ intelligence by BCI to support the co…
• Invariant Neuromorphic Representations of Tactile Stimuli Improve Robustness of a Real‐Time Texture Classification System
  2025 · 仿生智能 · Humans possess an exquisite sense of touch, which robotic and prosthetic systems aim to replicate. Algorithms are developed to create neuron‐like (neuromorphic) spiking representations of texture that are invariant to th…
• A Critical Review of AI-Based Battery Remaining Useful Life Prediction for Energy Storage Systems
  2025 · 碳中和与 CCUS · This paper provides a comprehensive review of recent advances in remaining useful life prediction for lithium-ion battery energy storage systems. Existing approaches are generally categorized into model-based methods, da…
• Sonar-Based Deep Learning in Underwater Robotics: Overview, Robustness, and Challenges
  2025 · 深海科技 · With the growing interest in underwater exploration and monitoring, autonomous underwater vehicles have become essential. The recent interest in onboard deep learning (DL) has advanced real-time environmental interaction…
• A Systematic Review of Intelligent Agents, Language Models, and Recurrent Neural Networks in Industrial Maintenance: Driving Value Creation for the Mining Sector
  2025 · 数字孪生 · This PRISMA 2020–compliant systematic review examines how intelligent agents, large language models (LLMs), and recurrent neural networks (RNNs) can be combined for industrial maintenance, with a sector‐specific focus on…
• Intelligent Ventilation and Indoor Air Quality: State of the Art Review (2017–2025)
  2025 · 数字孪生 · Intelligent ventilation is positioned as a key axis for reconciling energy efficiency and indoor air quality (IAQ) in residential and non-residential buildings. This review synthesizes 51 recent publications covering con…
• A Dual Digital Twin Framework for Reinforcement Learning: Bridging Webots and MuJoCo with Generative AI and Alignment Strategies
  2025 · 数字孪生 · Deep reinforcement learning (DRL) has shown potential for robotic training in virtual environments; however, challenges remain in bridging simulation and real-world deployment. This paper introduces an extended reinforce…
• Guided Reinforcement Learning with Twin Delayed Deep Deterministic Policy Gradient for a Rotary Flexible-Link System
  2025 · 数字孪生 · This study proposes a robust methodology for vibration suppression and trajectory tracking in rotary flexible-link systems by leveraging guided reinforcement learning (GRL). The approach integrates the twin delayed deep …
• Towards a Robust Adaptive Digital Twin for Fusion Applications
  2025 · 数字孪生 · The development of a digital twin system for fusion applications is essential for enhancing the prediction, analysis, and optimization of complex plasma processes. Machine learning (ML), particularly deep learning has de…
• Physical twinning for joint encoding-decoding optimization in computational optics: a review
  2025 · 数字孪生 · Computational optics introduces computation into optics and consequently helps overcome traditional optical limitations such as low sensing dimension, low light throughput, low resolution, and so on. The combination of o…
• Lightweight and Robust Key Agreement for Securing IIoT-Driven Flexible Manufacturing Systems
  2025 · 数字孪生 · The ever-evolving Internet of Things (IoT) has ushered in a new era of intelligent manufacturing across multiple industries. However, the security and privacy of real-time data transmitted over the public channel of the …
• Transfer learning assessment of small datasets relating manufacturing parameters with electrochemical energy cell component properties
  2025 · 数字孪生 · The performance of electrochemical cells for energy storage and conversion can be improved by optimizing their manufacturing processes. This can be time-consuming and costly with the traditional trial-and-error approache…
• VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation
  2025 · 具身智能 · The rapid advancement of generative AI and multi-modal foundation models has shown significant potential in advancing robotic manipulation. Vision-language-action (VLA) models, in particular, have emerged as a promising …
• Multimodal fusion with vision-language-action models for robotic manipulation: A systematic review
  2025 · 具身智能 · Vision Language Action (VLA) models represent a new frontier in robotics by unifying perception, reasoning, and control within a single multimodal learning framework. By integrating visual, linguistic, and action modalit…
• A Comprehensive Reanalysis of K2-18 b’s JWST NIRISS+NIRSpec Transmission Spectrum
  2025 · 地外科学 · Abstract Sub-Neptunes are the most common type of planet in our galaxy. Interior structure models suggest that the coldest sub-Neptunes could host liquid water oceans underneath their hydrogen envelopes—sometimes called …
• Enhancing reservoir predictions of chaotic time series by incorporating delayed values of input and reservoir variables
  2025 · 类脑计算 · Time series generated by chaotic dynamical systems can be effectively predicted using readouts from driven reservoir dynamics. In practical scenarios, however, only time series measurements with partial knowledge of the …
• Federated Learning with Adversarial Optimisation for Secure and Efficient 5G Edge Computing Networks
  2025 · 隐私计算与数据要素 · With the evolution of 5G edge computing networks, privacy-aware applications are gaining significant attention due to their decentralised processing capabilities. However, these networks face substantial challenges to en…
• Strategies to Improve the Robustness and Generalizability of Deep Learning Segmentation and Classification in Neuroimaging
  2025 · 隐私计算与数据要素 · Artificial Intelligence (AI) and deep learning models have revolutionized diagnosis, prognostication, and treatment planning by extracting complex patterns from medical images, enabling more accurate, personalized, and t…

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