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convolutional neural network

GeneTech 知识引擎共收录 279 篇相关科研实体，横跨 20 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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• AI based real time disease diagnosis in plants using deep learning driven CNNs
  2026 · AI 安全与对齐 · Real-time plant disease diagnosis employs new technologies to identify and detect plant diseases while they occur, thus allowing a rapid response that reduces crop loss and improves healthier agricultural practices. This…
• An Integrated AI Framework for Crop Recommendation
  2026 · AI 安全与对齐 · Despite recent advances in artificial intelligence for agriculture, reliable crop recommendation remains constrained by limited access to soil diagnostics, insufficient integration of environmental context, and the absen…
• Alzheimer Disease Classification Based on Phase Transfer Entropy Method of EEG Signal
  2026 · 医疗人工智能 · Alzheimer's disease (AD) is the most common type of dementia with a progressive neurodegenerative course, characterized by the accumulation of amyloid-beta plaques and tau tangles in the brain. The global prevalence of t…
• Clinical validation of artificial intelligence algorithms for the detection of different central-involved retinal pathologies and glaucoma from non-mydriatic images
  2026 · 医疗人工智能 · The use of Artificial intelligence (AI) algorithms for detecting different ophthalmic diseases, especially diabetic retinopathy (DR), has become increasingly popular. In this paper, we evaluate the screening performance …
• Adversarial robust EEG-based brain–computer interfaces using a hierarchical convolutional neural network
  2026 · 仿生智能 · Brain-Computer Interfaces (BCIs) based on electroencephalography (EEG) are widely used in motor rehabilitation, assistive communication, and neurofeedback due to their non-invasive nature and ability to decode movement-r…
• A Web-Based Framework for Brain Hemorrhage Detection from CT Scans Using Deep Learning
  2026 · 脑科学 · This paper presents a deep learning-based web framework for automated detection of brain hemorrhage from CT scan images. Brain hemorrhage is a critical medical condition that requires early and accurate diagnosis to redu…
• A Web-Based Framework for Brain Hemorrhage Detection from CT Scans Using Deep Learning
  2026 · 脑科学 · This paper presents a deep learning-based web framework for automated detection of brain hemorrhage from CT scan images. Brain hemorrhage is a critical medical condition that requires early and accurate diagnosis to redu…
• 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…
• An Anomaly‐Enhanced Digital Twin (AEDT) Model for Intelligent Inspection and Management of Civil Infrastructure
  2026 · 数字孪生 · The increasing frequency of extreme climate events poses significant risks to slope infrastructure, while traditional inspection methods are often inefficient and unsafe. Although unmanned aerial vehicles (UAVs) combined…
• 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…
• Artificial intelligence for quality control and monitoring in directed energy deposition metal additive manufacturing: applications, challenges, and opportunities
  2026 · 数字孪生 · Directed energy deposition (DED) is a versatile metal additive manufacturing (MAM) technique that enables the fabrication and repair of high-value components across diverse industries. However, ensuring consistent qualit…
• Web based AI-driven framework combining multi-modal data with CNN and LLM for Parkinson’s disease diagnosis
  2025 · AI 安全与对齐 · Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by a wide spectrum of motor and non-motor symptoms, often leading to delayed or inaccurate diagnosis. Conventional diagnostic methods fre…
• NeuroBlend-3: Hybrid Deep and Machine Learning Framework with Explainable AI for Multi-class Brain Tumor Detection Using MRI Scans
  2025 · AI 安全与对齐 · Brain tumors are complex and potentially life-threatening conditions that require accurate and timely diagnosis. This study proposes NeuroBlend-3, an explainable and hybrid artificial intelligence (AI) framework for mult…
• 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…
• Socializing AI: Integrating Social Network Analysis and Deep Learning for Precision Dairy Cow Monitoring—A Critical Review
  2025 · AI 安全与对齐 · This review critically analyzes recent advancements in dairy cow behavior recognition, highlighting novel methodological contributions through the integration of advanced artificial intelligence (AI) techniques such as t…
• Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman Spectroscopy
  2025 · 地外矿物 · Autonomous Raman instruments deployed on Mars rovers, deep-sea landers, and mobile field robots must interpret raw spectra that are distorted by fluorescence baselines, peak shifts, and limited ground-truth labels. Using…
• 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…
• Artificial Intelligence in Glioma Diagnosis: A Narrative Review of Radiomics and Deep Learning for Tumor Classification and Molecular Profiling Across Positron Emission Tomography and Magnetic Resonance Imaging
  2025 · 医疗人工智能 · Background: This narrative review summarizes recent progress in artificial intelligence (AI), especially radiomics and deep learning, for non-invasive diagnosis and molecular profiling of gliomas. Methodology: A thorough…
• Medical Image Segmentation: A Comprehensive Review of Deep Learning-Based Methods
  2025 · 医疗人工智能 · Medical image segmentation is a critical application of computer vision in the analysis of medical images. Its primary objective is to isolate regions of interest in medical images from the background, thereby assisting …
• Artificial Intelligence-Empowered Radiology—Current Status and Critical Review
  2025 · 医疗人工智能 · Humanity stands at a pivotal moment of technological revolution, with artificial intelligence (AI) reshaping fields traditionally reliant on human cognitive abilities. This transition, driven by advancements in artificia…
• Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review
  2025 · 医疗人工智能 · BACKGROUND: Early detection and diagnosis of cancer are vital to improving outcomes for patients. Artificial intelligence (AI) models have shown promise in the early detection and diagnosis of cancer, but there is limite…
• Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects
  2025 · 医疗人工智能 · Artificial Intelligence is revolutionizing prenatal diagnostics by enhancing the accuracy and efficiency of procedures. This review explores AI and machine learning (ML) in the early detection, prediction, and assessment…
• Artificial Intelligence in Oral Diagnosis: Detecting Coated Tongue with Convolutional Neural Networks
  2025 · 医疗人工智能 · Background/Objectives: Coated tongue is a common oral condition with notable clinical relevance, often overlooked due to its asymptomatic nature. Its presence may reflect poor oral hygiene and can serve as an early indic…
• Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine
  2025 · 医疗人工智能 · The integration of artificial intelligence (AI) into acupuncture research is accelerating the transformation of this traditional, experience-based practice into a data-driven, precision discipline. This review synthesize…
• Multi-scale convolutional transformer network for motor imagery brain-computer interface
  2025 · 仿生智能 · Brain-computer interface (BCI) systems allow users to communicate with external devices by translating neural signals into real-time commands. Convolutional neural networks (CNNs) have been effectively utilized for decod…
• Exploring the feasibility of olfactory brain–computer interfaces
  2025 · 仿生智能 · In this study, we explore the feasibility of single-trial predictions of odor registration in the brain using olfactory bio-signals. We focus on two main aspects: input data modality and the processing model. For the fir…
• A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain–Computer Interfaces to Enhance Motor Imagery Classification
  2025 · 仿生智能 · Enhancing motor disability assessment and its imagery classification is a significant concern in contemporary medical practice, necessitating reliable solutions to improve patient outcomes. One promising avenue is the us…
• Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images
  2025 · 仿生智能 · Detecting brain tumours (BT) early improves treatment possibilities and increases patient survival rates. Magnetic resonance imaging (MRI) scanning offers more comprehensive information, such as better contrast and clari…
• Explainable AI for forensic speech authentication within cognitive and computational neuroscience
  2025 · 脑科学 · The proliferation of deepfake technologies presents serious challenges for forensic speech authentication. We propose a deep learning framework combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (L…
• From biomass waste to CO2 capture: a multi-fidelity machine learning workflow for high-throughput screening of activated carbons
  2025 · 碳中和与 CCUS · Rising atmospheric CO 2 levels threaten climate stability, demanding transformative solutions in carbon capture, utilization, and storage. Porous activated carbons (ACs) derived from sustainable waste sources offer a pro…
• Comparative analysis of deep learning architectures in solar power prediction
  2025 · 深海科技 · Integrating renewable energy sources into the electricity grid requires accurate forecasts of solar power production. With the aim of enhancing the accuracy and reliability of forecasts, this study presents a comprehensi…
• Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
  2025 · 深海科技 · Abstract Understanding ancient organisms and their interactions with paleoenvironments through the study of body fossils is a central tenet of paleontology. Advances in digital image capture now allow for efficient and a…
• A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones
  2025 · 深海科技 · Abstract Chloride-induced corrosion is a major threat to the durability of reinforced concrete (RC) structures. This is especially critical in marine tidal zones, where surface chloride concentration (Cs) plays a key rol…
• Physics-informed machine learning-based real-time long-horizon temperature fields prediction in metallic additive manufacturing
  2025 · 数字孪生 · Real-time long-horizon temperature prediction in wire arc additive manufacturing is critical for process control and quality assurance. However, finite element methods are computationally expensive, and the existing data…
• WheatGP, a genomic prediction method based on CNN and LSTM
  2025 · 基因技术工具 · Wheat plays a crucial role in ensuring food security. However, its complex genetic structure and trait variation pose significant challenges for breeding superior varieties. In this study, a genomic prediction method for…
• An insight on the timely diagnosis of diabetic retinopathy using traditional and ai-driven approaches
  2025 · 隐私计算与数据要素 · Diabetic Retinopathy is a progressive microvascular complication of diabetes that requires early detection to improve patient outcomes. Traditional screening techniques, including fundus photography and optical coherence…
• Comparative analysis of deep learning architectures in solar power prediction
  2025 · 隐私计算与数据要素 · Integrating renewable energy sources into the electricity grid requires accurate forecasts of solar power production. With the aim of enhancing the accuracy and reliability of forecasts, this study presents a comprehensi…
• Federated Learning for Semantic Communication Based on CNNs and Transformer
  2025 · 隐私计算与数据要素 · This study focuses on the latest research advancements in the field of semantic communication. Traditional communication systems prioritize the transmission of raw data, whilst semantic communication emphasizes conveying…
• Hybrid quantum-classical-quantum convolutional neural networks
  2025 · 量子计算 · Deep learning has achieved significant success in pattern recognition, with convolutional neural networks (CNNs) serving as a foundational architecture for extracting spatial features from images. Quantum computing provi…
• Modified EfficientNet-B0 Architecture Optimized with Quantum-Behaved Algorithm for Skin Cancer Lesion Assessment
  2025 · 量子材料 · Background/Objectives: Skin cancer is one of the most common diseases in the world, whose early and accurate detection can have a survival rate more than 90% while the chance of mortality is almost 80% in case of late di…
• Quantum Convolutional HLA Immunogenic Peptide Prediction (Q-CHIPP): Next-Generation Neoantigen Prediction with Quantum Neural Networks
  2025 · 量子材料 · ABSTRACT The immune system is an intricately evolved series of cellular and protein-protein interactions, which defend the body against pathogens and abnormal cells such as cancer. A key player in the immunologic recogni…
• Channel Estimation for Reconfigurable Intelligent Surface-Aided 6G NOMA Systems: A Quantum Machine Learning Approach
  2025 · 6G 与卫星互联网 · The integration of reconfigurable intelligent surfaces (RISs) and non-orthogonal multiple access (NOMA) is considered a promising technique to enhance spectral efficiency and connectivity in future 6G networks. Accurate …
• Brain age prediction using interpretable multi-feature-based convolutional neural network in mild traumatic brain injury
  2024 · AI 安全与对齐 · BACKGROUND: Convolutional neural network (CNN) can capture the structural features changes of brain aging based on MRI, thus predict brain age in healthy individuals accurately. However, most studies use single feature t…
• Monthly climate prediction using deep convolutional neural network and long short-term memory
  2024 · AI 安全与对齐 · Climate change affects plant growth, food production, ecosystems, sustainable socio-economic development, and human health. The different artificial intelligence models are proposed to simulate climate parameters of Jina…
• A review on convolutional neural network in rolling bearing fault diagnosis
  2024 · AI 安全与对齐 · Abstract The health condition of rolling bearings has a direct impact on the safe operation of rotating machinery. And their working environment is harsh and the working condition is complex, which brings challenges to f…
• Deep learning analysis of fMRI data for predicting Alzheimer’s Disease: A focus on convolutional neural networks and model interpretability
  2024 · AI 安全与对齐 · The early detection of Alzheimer's Disease (AD) is thought to be important for effective intervention and management. Here, we explore deep learning methods for the early detection of AD. We consider both genetic risk fa…
• 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…
• Application of artificial intelligence in the diagnosis and treatment of urinary tumors
  2024 · 医疗人工智能 · Diagnosis and treatment of urological tumors, relying on auxiliary data such as medical imaging, while incorporating individual patient characteristics into treatment selection, has long been a key challenge in clinical …
• Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis
  2024 · 医疗人工智能 · BACKGROUND: The exceptional capabilities of artificial intelligence (AI) in extracting image information and processing complex models have led to its recognition across various medical fields. With the continuous evolut…
• A sustainable artificial-intelligence-augmented digital care pathway for epilepsy: Automating seizure tracking based on electroencephalogram data using artificial intelligence
  2024 · 医疗人工智能 · Objective: Scalp electroencephalograms (EEGs) are critical for neurological evaluations, particularly in epilepsy, yet they demand specialized expertise that is often lacking in many regions. Artificial intelligence (AI)…
• Advanced Artificial Intelligence Techniques for Comprehensive Dermatological Image Analysis and Diagnosis
  2024 · 医疗人工智能 · With the growing complexity of skin disorders and the challenges of traditional diagnostic methods, AI offers exciting new solutions that can enhance the accuracy and efficiency of dermatological assessments. Reflectance…
• CTNet: a convolutional transformer network for EEG-based motor imagery classification
  2024 · 仿生智能 · Brain-computer interface (BCI) technology bridges the direct communication between the brain and machines, unlocking new possibilities for human interaction and rehabilitation. EEG-based motor imagery (MI) plays a pivota…
• Benchmarking brain–computer interface algorithms: Riemannian approaches vs convolutional neural networks
  2024 · 仿生智能 · Abstract Objective. To date, a comprehensive comparison of Riemannian decoding methods with deep convolutional neural networks for EEG-based brain–computer interfaces remains absent from published work. We address this r…
• RETRACTED: An efficient brain tumor detection and classification using pre-trained convolutional neural network models
  2024 · 仿生智能 · In cases of brain tumors, some brain cells experience abnormal and rapid growth, leading to the development of tumors. Brain tumors represent a significant source of illness affecting the brain. Magnetic Resonance Imagin…
• Study of an Optimization Tool Avoided Bias for Brain-Computer Interfaces Using a Hybrid Deep Learning Model
  2024 · 仿生智能 · This study addresses the challenge of user-specific bias in Brain-Computer Interfaces (BCIs) by proposing a novel methodology. The primary objective is to employ a hybrid deep learning model, combining 2D Convolutional N…
• A Novel Hybrid Deep Neural Network Classifier for EEG Emotional Brain Signals
  2024 · 仿生智能 · The field of brain computer interface (BCI) is one of the most exciting areas in the field of scientific research, as it can overlap with all fields that need intelligent control, especially the field of the medical indu…
• Brain Tumor Detection Using Magnetic Resonance Imaging and Convolutional Neural Networks
  2024 · 仿生智能 · Early and precise detection of brain tumors is critical for improving clinical outcomes and patient quality of life. This research focused on developing an image classifier using convolutional neural networks (CNN) to de…
• Brain Tumor Detection Using a Deep CNN Model
  2024 · 仿生智能 · The diagnosis of brain tumors through magnetic resonance imaging (MRI) has become highly significant in the field of medical science. Relying solely on MR imaging for the detection and categorization of brain tumors dema…
• A novel CNN-based image segmentation pipeline for individualized feline spinal cord stimulation modeling
  2024 · 仿生智能 · Objective. Spinal cord stimulation (SCS) is a well-established treatment for managing certain chronic pain conditions. More recently, it has also garnered attention as a means of modulating neural activity to restore los…

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