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artificial neural network

GeneTech 知识引擎共收录 476 篇相关科研实体，横跨 22 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）

• 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)…
• Multi‐model Artificial Intelligence Evaluation in Sudden Sensorineural Hearing Loss
  2026 · 医疗人工智能 · OBJECTIVE: To compare the diagnostic accuracy, linguistic clarity, and user satisfaction of three large language models (ChatGPT-4.0, Claude 3.7 Sonet, and OpenAI Mini 3) in managing sudden sensorineural hearing loss. ST…
• High accuracy EEG signal classification for brain computer interfaces using advanced neural architectures.
  2026 · 仿生智能 · Introduction: This study proposes advanced neural network architectures for classifying specific motor-related electroencephalography (EEG) tasks, employing deep feature extraction techniques. We analyzed EEG data from t…
• Toward Real-Time Digital Twins for CO₂ Storage: Graph Neural Network Ensembles for Multi-physics Forecasting and Risk Quantification
  2026 · 碳中和与 CCUS · Accurate forecasting of CO₂ plume migration, geochemical alteration, and geomechanical deformation is essential for secure geological carbon storage, yet high-fidelity thermo-hydro-mechanical-chemical (THMC) simulators r…
• CO 2 –N 2 Mixture Viscosity Modelling Using Machine Learning: Towards Sustainable Carbon Capture and Energy Efficiency
  2026 · 碳中和与 CCUS · Accurate determination of the viscosity of carbon dioxide (CO 2 ) mixed with nitrogen (N 2 ) is vital for enhanced oil recovery (EOR) and carbon capture, utilisation and storage (CCUS/CCS). The determination of this impo…
• Carbon Capture Utilization and Trapping Efficiency Modelling: A Case Study of Gas Flare Site in Niger Delta
  2026 · 碳中和与 CCUS · Most significant challenges in recent decades have been the rise in global average temperature, which is mostly caused by greenhouse gas (GHG) emissions. Previous research used complex numerical simulations processes tha…
• Predicting CO₂ adsorption in Cu- and Zn-metal-organic frameworks using a permutation-invariant deep learning framework
  2026 · 碳中和与 CCUS · A deep-learning framework that predicts CO 2 uptake in Metal-organic frameworks (MOFs) has been proposed. MOFs are promising material adsorbents for carbon dioxide (CO 2 ) capture due to their tunable porosity and surfac…
• AI modeling for outbreak prediction: A graph-neural-network approach for identifying vancomycin-resistant enterococcus carriers
  2025 · AI 安全与对齐 · The isolation of affected patients and intensified infection control measures are used to prevent nosocomial transmission of vancomycin-resistant enterococci (VRE), but early detection of VRE carriers is needed. However,…
• Attribution-based interpretable classification neural network with global and local perspectives
  2025 · AI 安全与对齐 · Neural networks are challenging to apply in domains requiring high reliability due to their black-box nature, and researchers are increasingly focusing on interpreting neural networks. While pursuing neural network perfo…
• Leveraging Machine Learning and Molecular Neural Networks to Interpret and Explain AI-Driven Prediction of Drug Efficacy
  2025 · AI 安全与对齐 · Drug discovery along with efficacy prediction through artificial intelligence (AI) requires researchers to build explainable models which offer interpretability. The introduced framework uses machine learning (ML) with m…
• A total organic carbon prediction algorithm for heterogeneous shale based on interpretable neural network: a case study of Qiongzhusi Formation shale in the Sichuan Basin
  2025 · AI 安全与对齐 · Total Organic Carbon (TOC) is a fundamental parameter for evaluating source rock quality, yet the strong heterogeneity of the Qiongzhusi Formation shale reservoir in the Sichuan Basin severely limits the applicability of…
• Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural light
  2025 · 生物计算 · Optical neural networks are considered next-generation physical implementations of artificial neural networks, but their capabilities are limited by on-chip integration scale and requirement for coherent light sources. T…
• Optical next generation reservoir computing
  2025 · 生物计算 · Artificial neural networks with internal dynamics exhibit remarkable capability in processing information. Reservoir computing (RC) is a canonical example that features rich computing expressivity and compatibility with …
• Incremental accumulation of linguistic context in artificial and biological neural networks
  2025 · 生物计算 · Large Language Models (LLMs) have shown success in predicting neural signals associated with narrative processing, but their approach to integrating context over large timescales differs fundamentally from that of the hu…
• A guidance to intelligent metamaterials and metamaterials intelligence
  2025 · 生物计算 · The bidirectional interactions between metamaterials and artificial intelligence have recently attracted immense interest to motivate scientists to revisit respective communities, giving rise to the proliferation of inte…
• Using Physics-Informed Neural Networks for Modeling Biological and Epidemiological Dynamical Systems
  2025 · 生物计算 · Physics-Informed Neural Networks (PINNs) have emerged as a powerful approach for integrating physical laws into a deep learning framework, offering enhanced capabilities for solving complex problems. Despite their potent…
• Advancements in flexible memristors for neuromorphic computing: Materials, mechanisms, and applications in synaptic emulation
  2025 · 生物计算 · Abstract The brain orchestrates complex physiological processes through intricate neural networks, with synapses serving as the fundamental units for inter‐neuronal communication and ensuring the efficient functioning of…
• Concept transfer of synaptic diversity from biological to artificial neural networks
  2025 · 生物计算 · Recent developments in artificial neural networks have drawn inspiration from biological neural networks, leveraging the concept of the artificial neuron to model the learning abilities of biological nerve cells. However…
• Ionic Device: From Neuromorphic Computing to Interfacing with the Brain
  2025 · 生物计算 · In living organisms, the modulation of ion conductivity in ion channels of neuron cells enables intelligent behaviors, such as generating, transmitting, and storing neural signals. Drawing inspiration from these natural …
• Artificial Intelligence and the Future of Cardiac Implantable Electronic Devices: Diagnostics, Monitoring, and Therapy
  2025 · 医疗人工智能 · Cardiac implantable electronic devices (CIEDs) such as pacemakers, implantable cardioverter-defibrillators (ICDs), and cardiac resynchronisation therapy (CRT) devices are generating unprecedented volumes of data in both …
• Change of Heart: Can Artificial Intelligence Transform Infective Endocarditis Management?
  2025 · 医疗人工智能 · Artificial intelligence (AI) has emerged as a promising adjunct in the diagnosis and management of infective endocarditis (IE), a disease characterized by diagnostic complexity and significant morbidity. Machine learning…
• Physics-informed artificial intelligence with splines for modeling advection–diffusion–reaction under dynamic boundaries
  2025 · 医疗人工智能 · This paper proposes Physics-Informed Deep Operator Networks (PI-DeepONets) for rapid simulation of Advection–Diffusion–Reaction (ADR) systems with time-variable boundary conditions. These are viewed as inputs of the syst…
• SONIC: A Benchmarking Paradigm for Brain-Computer Interfaces
  2025 · 仿生智能 · Abstract Brain-computer interfaces (BCIs) can restore function for individuals with neuro-logical disorders and have the potential to transform the way people interact with digital systems. However, the development of ad…
• Ionic Device: From Neuromorphic Computing to Interfacing with the Brain
  2025 · 仿生智能 · In living organisms, the modulation of ion conductivity in ion channels of neuron cells enables intelligent behaviors, such as generating, transmitting, and storing neural signals. Drawing inspiration from these natural …
• Integration of neural networks in brain–computer interface applications: Research frontiers and trend analysis based on Python
  2025 · 仿生智能 · Brain–computer interfaces (BCIs) establish a connection between the human brain and external devices, facilitating novel forms of communication and control. Although BCIs possess significant potential, there is a need fo…
• Neural models for detection and classification of brain states and transitions
  2025 · 仿生智能 · Exploring natural or pharmacologically induced brain dynamics, such as sleep, wakefulness, or anesthesia, provides rich functional models for studying brain states. These models allow detailed examination of unique spati…
• Unmanned aerial vehicle based multi-person detection via deep neural network models
  2025 · 仿生智能 · Introduction: Understanding human actions in complex environments is crucial for advancing applications in areas such as surveillance, robotics, and autonomous systems. Identifying actions from UAV-recorded videos become…
• Lumina: Real-Time Neural Rendering by Exploiting Computational Redundancy
  2025 · 碳中和与 CCUS · 3D Gaussian Splatting (3DGS) has vastly advanced the pace of neural rendering, but it remains computationally demanding on today's mobile SoCs.To address this challenge, we propose Lumina, a hardware-algorithm co-designe…
• Atomic-level interpretable multimodal graph neural network for predicting carbon dioxide adsorption in metal-organic frameworks
  2025 · 碳中和与 CCUS · Metal–organic frameworks (MOFs) are porous crystalline materials with strong potential for CO₂ capture because their structures and chemistries are highly tunable. However, their vast compositional and structural search …
• Machine learning for hydrogen technologies: A comprehensive review of challenges, opportunities, and emerging trends
  2025 · 碳中和与 CCUS · Hydrogen technologies are central to the transition toward more sustainable energy systems. Machine learning (ML) and artificial intelligence (AI) are emerging as key enablers across the hydrogen value chain, from produc…
• Enhancing the mechanical properties’ performances coconut fiber and CDW composite in paver block: multiple AI techniques with a Performance analysis
  2024 · AI 安全与对齐 · The present research incorporates five AI methods to enhance and forecast the characteristics of building envelopes. In this study, Response Surface Methodology (RSM), Support Vector Machine (SVM), Gradient Boosting (GB)…
• Deep Tooth LLM: Neural Trajectory Optimization for Tooth Alignment
  2024 · AI 安全与对齐 · A orthodontic treatment simulation is normally made up of several cycles of treatment, that regularly covers for more than 12 months. Thus, the fundamental determinant in orthodontic treatment is to simulate medically re…
• Vehicle Lateral Dynamics-Inspired Hybrid Model Using Neural Network for Parameter Identification and Error Characterization
  2024 · AI 安全与对齐 · Autonomous vehicle requires a high-precision lateral dynamics model for path following and lateral stability control. However, existing physical models suffer from low accuracy due to modeling simplification and inaccura…
• Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
  2024 · AI 安全与对齐 · Deep learning techniques have proven highly effective in image classification, but their deployment in resource-constrained environments remains challenging due to high computational demands. Furthermore, their interpret…
• OmicsFootPrint: a framework to integrate and interpret multi-omics data using circular images and deep neural networks
  2024 · AI 安全与对齐 · The OmicsFootPrint framework addresses the need for advanced multi-omics data analysis methodologies by transforming data into intuitive two-dimensional circular images and facilitating the interpretation of complex dise…
• An interpretable deep learning framework for classifying neuronal morphologies using topology and graph neural networks
  2024 · AI 安全与对齐 · Abstract Neuronal shape determines how neurons process and integrate information, yet a consistent and objective classification of neuronal morphologies remains elusive. Current approaches rely heavily on subjective expe…
• Identification of gene regulatory networks associated with breast cancer patient survival using an interpretable deep neural network model
  2024 · AI 安全与对齐 · Artificial neural networks have recently gained significant attention in biomedical research. However, their utility in survival analysis still faces many challenges. In addition to designing models for high accuracy, it…
• Open and remotely accessible Neuroplatform for research in wetware computing
  2024 · 生物计算 · Wetware computing and organoid intelligence is an emerging research field at the intersection of electrophysiology and artificial intelligence. The core concept involves using living neurons to perform computations, simi…
• Exploring Types of Photonic Neural Networks for Imaging and Computing—A Review
  2024 · 生物计算 · Photonic neural networks (PNNs), utilizing light-based technologies, show immense potential in artificial intelligence (AI) and computing. Compared to traditional electronic neural networks, they offer faster processing …
• A Review of Computing with Spiking Neural Networks
  2024 · 生物计算 · Artificial neural networks (ANNs) have led to landmark changes in many fields, but they still differ significantly from the mechanisms of real biological neural networks and face problems such as high computing costs, ex…
• Hardware implementation of memristor-based artificial neural networks
  2024 · 生物计算 · Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL) techniques, which rely on networks of connected simple computing units operating in parallel. The low communication bandwidth be…
• Advancing brain-inspired computing with hybrid neural networks
  2024 · 生物计算 · Brain-inspired computing, drawing inspiration from the fundamental structure and information-processing mechanisms of the human brain, has gained significant momentum in recent years. It has emerged as a research paradig…
• Edge computing-oriented smart agricultural supply chain mechanism with auction and fuzzy neural networks
  2024 · 生物计算 · Abstract Powered by data-driven technologies, precision agriculture offers immense productivity and sustainability benefits. However, fragmentation across farmlands necessitates distributed transparent automation. We dev…
• Optical neural networks: progress and challenges
  2024 · 生物计算 · Artificial intelligence has prevailed in all trades and professions due to the assistance of big data resources, advanced algorithms, and high-performance electronic hardware. However, conventional computing hardware is …
• Magnetoionics for Synaptic Devices and Neuromorphic Computing: Recent Advances, Challenges, and Future Perspectives
  2024 · 生物计算 · With the advent of Big Data, traditional digital computing is struggling to cope with intricate tasks related to data classification or pattern recognition. To mitigate this limitation, software-based neural networks are…
• Two‐Dimensional MoS2‐Based Anisotropic Synaptic Transistor for Neuromorphic Computing by Localized Electron Beam Irradiation
  2024 · 生物计算 · Neuromorphic computing, a promising solution to the von Neumann bottleneck, is paving the way for the development of next-generation computing and sensing systems. Axon-multisynapse systems enable the execution of sophis…
• Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell
  2024 · 生物计算 · Memristor-based neural networks provide an exceptional energy-efficient platform for artificial intelligence (AI), presenting the possibility of self-powered operation when paired with energy harvesters. However, most me…
• Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics‐Informed Neural Networks
  2024 · 生物计算 · The heterogeneous micromechanical properties of biological tissues have profound implications across diverse medical and engineering domains. However, identifying full-field heterogeneous elastic properties of soft mater…
• Artificial Intelligence Detection of Cervical Spine Fractures Using Convolutional Neural Network Models
  2024 · 医疗人工智能 · OBJECTIVE: To develop and evaluate a technique using convolutional neural networks (CNNs) for the computer-assisted diagnosis of cervical spine fractures from radiographic x-ray images. By leveraging deep learning techni…
• A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests
  2024 · 医疗人工智能 · BACKGROUND: The pharmaceutical industry is continually striving to innovate drug development and formulation processes. Orally disintegrating tablets (ODTs) have gained popularity due to their quick release and patient-f…
• Brain control of bimanual movement enabled by recurrent neural networks
  2024 · 仿生智能 · Brain-computer interfaces have so far focused largely on enabling the control of a single effector, for example a single computer cursor or robotic arm. Restoring multi-effector motion could unlock greater functionality …
• Explainable Deep-Learning Prediction for Brain–Computer Interfaces Supported Lower Extremity Motor Gains Based on Multistate Fusion
  2024 · 仿生智能 · Predicting the potential for recovery of motor function in stroke patients who undergo specific rehabilitation treatments is an important and major challenge. Recently, electroencephalography (EEG) has shown potential in…
• Advancing brain-inspired computing with hybrid neural networks
  2024 · 仿生智能 · Brain-inspired computing, drawing inspiration from the fundamental structure and information-processing mechanisms of the human brain, has gained significant momentum in recent years. It has emerged as a research paradig…
• Refining neural network algorithms for accurate brain tumor classification in MRI imagery
  2024 · 仿生智能 · Brain tumor diagnosis using MRI scans poses significant challenges due to the complex nature of tumor appearances and variations. Traditional methods often require extensive manual intervention and are prone to human err…
• Taming Prolonged Ionic Drift–Diffusion Dynamics for Brain‐Inspired Computation
  2024 · 仿生智能 · Abstract Recent advances in neural network‐based computing have enabled human‐like information processing in areas such as image classification and voice recognition. However, many neural networks run on conventional com…
• A Rapid Adapting and Continual Learning Spiking Neural Network Path Planning Algorithm for Mobile Robots
  2024 · 仿生智能 · Mapping traversal costs in an environment and planning paths based on this map are important for autonomous navigation. We present a neurorobotic navigation system that utilizes a Spiking Neural Network (SNN) Wavefront P…
• Comparative study of machine learning techniques for post-combustion carbon capture systems
  2024 · 碳中和与 CCUS · Computational analysis of countercurrent flows in packed absorption columns, often used in solvent-based post-combustion carbon capture systems (CCSs), is challenging. Typically, computational fluid dynamics (CFD) approa…
• Prediction of Temperature Distribution on an Aircraft Hot-Air Anti-Icing Surface by ROM and Neural Networks
  2024 · 碳中和与 CCUS · To address the inefficiencies and time-consuming nature of traditional hot-air anti-icing system designs, reduced-order models (ROMs) and machine learning techniques are introduced to predict anti-icing surface temperatu…
• Quality prediction of air-cured cigar tobacco leaf using region-based neural networks combined with visible and near-infrared hyperspectral imaging
  2024 · 碳中和与 CCUS · Visible and Near-infrared hyperspectral imaging (VNIR-HSI) combined with machine learning has shown its effectiveness in various detection applications. Specifically, the quality of cigar tobacco leaves undergoes subtle …
• An improved sparrow search algorithm and CNN-BiLSTM neural network for predicting sea level height
  2024 · 深海科技 · Abstract Accurate prediction of sea level height is critically important for the government in assessing sea level risk in coastal areas. However, due to the nonlinear, time-varying and highly uncertain characteristics o…

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