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support vector machine

GeneTech 知识引擎共收录 91 篇相关科研实体，横跨 15 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）

• Awareness of the Impact of IT/AI on Energy Consumption in Enterprises: A Machine Learning-Based Modelling Towards a Sustainable Digital Transformation
  2025 · AI 安全与对齐 · The integration of artificial intelligence (AI) and information technology (IT) is transforming business operations while increasing energy demand. A scalable and nonintrusive method for assessing the adoption of energy-…
• A hybrid AI approach for predicting academic performance in RBE students
  2025 · AI 安全与对齐 · Machine learning has advanced significantly in recent years and is being used in higher education to perform various types of data analysis. While the literature demonstrates the application of machine learning algorithm…
• Determine the Elemental Composition of Minerals From Complex Solid‐Solution Series by Raman Spectroscopy: Implications for Mars Exploration Missions
  2025 · 地外矿物 · ABSTRACT Garnets are minerals offering valuable insights into geological and planetary processes, in both terrestrial and extraterrestrial contexts. Their presence in metamorphic rocks, as well as in meteorites, makes th…
• Optimized Ensemble Machine-Learning-Driven Transparent Thyroid Cancer Prediction Using Explainable Artificial Intelligence
  2025 · 医疗人工智能 · Thyroid cancer disease diagnosis is a critical medical challenge, requiring accurate and reliable predictions to support clinical decision-making. Patients may suffer from an incomplete diagnosis while using traditional …
• 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…
• Acromegaly facial changes analysis using last generation artificial intelligence methodology: the AcroFace system
  2025 · 医疗人工智能 · PURPOSE: To describe the development of the AcroFace system, an AI-based system for early detection of acromegaly, based on facial photographs analysis. METHODS: Two types of features were explored: (1) the visual/textur…
• Brain-Computer Interface for EEG-Based Authentication: Advancements and Practical Implications.
  2025 · 仿生智能 · Authentication is a critical component of digital security, and traditional methods often encounter significant vulnerabilities and limitations. This study addresses the emerging field of EEG-based authentication systems…
• Hierarchical multi-scale vision transformer model for accurate detection and classification of brain tumors in MRI-based medical imaging
  2025 · 仿生智能 · Automated brain tumor detection represents a fundamental challenge in contemporary medical imaging, demanding both precision and computational feasibility for practical implementation. This research introduces a novel Vi…
• Integrating active brain-computer interfaces (aBCIs) with passive BCIs (pBCIs) under different frustration levels
  2025 · 仿生智能 · The mental state of the users can significantly affect the performance of active brain-computer interfaces (aBCIs). In this work, we aim to adopt passive BCIs (pBCIs) to measure a typical mental state, frustration, which…
• An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models
  2025 · 深海科技 · Abstract Human-induced global warming, primarily attributed to the rise in atmospheric CO 2 , poses a substantial risk to the survival of humanity. While most research focuses on predicting annual CO 2 emissions, which a…
• Development of Digital/Visual Twin for Real‐Time Leak Detection in Gas Pipelines Under Multiphase Flow Conditions
  2025 · 数字孪生 · ABSTRACT Leak detection (LD) in gas pipelines (GPs) is critical for ensuring operational safety and environmental protection. This study presents a novel digital/visual twin for detecting single‐ and multiple leaks in GP…
• Support Vector Machines in Polymer Science: A Review
  2025 · 生命科学 · Polymer science, a discipline focusing on the synthesis, characterization, and application of macromolecules, has increasingly benefited from the adoption of machine learning (ML) techniques. Among these, Support Vector …
• A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM
  2025 · 量子计算 · Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography i…
• Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification
  2025 · 量子材料 · Background: Classical algorithms often struggle with the high dimensionality of medical data critical for early lung cancer diagnosis. While Quantum Machine Learning (QML) offers enhanced pattern recognition capabilities…
• Anomaly detection using machine learning and adopted digital twin concepts in radio environments
  2025 · 6G 与卫星互联网 · Reliable and secure wireless communication is essential in Industry 4.0. This work presents an anomaly detection framework using Digital Twin (DT) technology to simulate and monitor dynamic radio environments. By modelin…
• 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)…
• A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction
  2024 · AI 安全与对齐 · Abstract To explore a robust tool for advancing digital breeding practices through an artificial intelligence-driven phenotype prediction expert system, we undertook a thorough analysis of 11 non-linear regression models…
• Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Patient monitors case study
  2024 · 医疗人工智能 · BackgroundHealthcare institutions throughout the world rely on medical devices to provide their services reliably and effectively. However, medical devices can, and do sometimes fail. These failures pose significant risk…
• BDLT-IoMT—a novel architecture: SVM machine learning for robust and secure data processing in Internet of Medical Things with blockchain cybersecurity
  2024 · 医疗人工智能 · The integration of artificial intelligence (AI) has caused information and communication technology (ICT) to undergo a number of recent rapid fluctuations. These changes have primarily affected the areas of management, e…
• Classification of mental workload using brain connectivity and machine learning on electroencephalogram data
  2024 · 仿生智能 · Mental workload refers to the cognitive effort required to perform tasks, and it is an important factor in various fields, including system design, clinical medicine, and industrial applications. In this paper, we propos…
• 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…
• Identification and Classification of Coix seed Storage Years Based on Hyperspectral Imaging Technology Combined with Deep Learning
  2024 · 深海科技 · Developing a fast and non-destructive methodology to identify the storage years of Coix seed is important in safeguarding consumer well-being. This study employed the utilization of hyperspectral imaging (HSI) in conjunc…
• Advancements in remote sensing technologies for accurate monitoring and management of surface water resources in Africa: an overview, limitations, and future directions
  2024 · 深海科技 · This review presents a comprehensive examination of recent advancements in utilizing multi-date satellite data to analyze spatial and temporal variations in seasonal and inter-annual surface water dynamics within arid en…
• Behavioral Modeling and Digital Predistortion for Power Amplifier Based on the Sparse Smooth Twin Support Vector Regression Method
  2024 · 数字孪生 · In this paper, a sparse smooth twin support vector regression (Sparse‐STSVR) model for power amplifier (PA) behavioral modeling is obtained by pruning the kernel matrix based on Cholesky decomposition. Based on the prima…
• An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review
  2024 · 数字孪生 · Support vector machines (SVMs) are well-known machine learning algorithms for classification and regression applications. In the healthcare domain, they have been used for a variety of tasks including diagnosis, prognosi…
• Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization
  2024 · 量子计算 · A prompt diagnosis of breast cancer in its earliest phases is necessary for effective treatment. While Computer-Aided Diagnosis systems play a crucial role in automated mammography image processing, interpretation, gradi…
• A novel intrusion detection system based on a hybrid quantum support vector machine and improved Grey Wolf optimizer
  2024 · 量子计算 · Abstract The Internet of Things (IoT) has grown significantly in recent years, allowing devices with sensors to share data via the internet. Despite the growing popularity of IoT devices, they remain vulnerable to cyber-…
• Optimized Feature Selection Techniques for Classifying Electrocorticography Signals
  2023 · 仿生智能 · The combination of hardware and software communication systems that consists of external devices or control computers that use cerebral activity is Brain-Computer Interface (BCI). BCI helps to communicate with severely i…
• Digital Twin-Based Automated Fault Diagnosis in Industrial IoT Applications
  2023 · 数字孪生 · In recent years, Digital Twin (DT) has gained significant interest from academia and industry due to the advanced in information technology, communication systems, Artificial Intelligence (AI), Cloud Computing (CC), and …
• Machine-learning based process monitoring for automated composites manufacturing
  2023 · 数字孪生 · Abstract Automated fibre placement (AFP) is an advanced robotic manufacturing technique which can overcome the challenges of traditional composite manufacturing. The interlaminar strength of AFP-manufactured composites d…
• Research on gas pipeline leakage model identification driven by digital twin
  2023 · 数字孪生 · When the gas pipeline leaks, it causes huge economic losses. This paper establishes a digital twin model of a pipeline based on the pressure signal generated by a pipeline leak and researches on pipeline leak detection. …
• A Multimodal Artificial Intelligence Framework for Diabetes Risk Prediction and Diabetic Retinopathy Classification using Clinical and Retinal Data
  2026 · 医疗人工智能 · Diabetes mellitus is a major chronic disease for which timely risk identification and screening can support earlier clinical intervention. Artificial intelligence provides opportunities to analyse both structured clinica…
• A Multimodal Artificial Intelligence Framework for Diabetes Risk Prediction and Diabetic Retinopathy Classification using Clinical and Retinal Data
  2026 · 医疗人工智能 · Diabetes mellitus is a major chronic disease for which timely risk identification and screening can support earlier clinical intervention. Artificial intelligence provides opportunities to analyse both structured clinica…
• Development of a Decision Support Tool Based on Artificial Intelligence to Estimate the Risk of Preeclampsia
  2025 · 医疗人工智能 · Preeclampsia is a serious pregnancy complication characterized by high blood pressure and organ dysfunction, which can pose significant risks to both the mother and the fetus, especially in resource-limited regions such …
• Development of a Decision Support Tool Based on Artificial Intelligence to Estimate the Risk of Preeclampsia
  2025 · 医疗人工智能 · Preeclampsia is a serious pregnancy complication characterized by high blood pressure and organ dysfunction, which can pose significant risks to both the mother and the fetus, especially in resource-limited regions such …
• An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction
  2022 · 医疗人工智能 · Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has therefore become an important research area to enhance patient survival rates. Several research studies have reported classificat…
• Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
  2022 · 仿生智能 · Abstract Affective computing, a subcategory of artificial intelligence, detects, processes, interprets, and mimics human emotions. Thanks to the continued advancement of portable non-invasive human sensor technologies, l…
• An Enhanced Evolutionary Software Defect Prediction Method Using Island Moth Flame Optimization
  2021 · 医疗人工智能 · Software defect prediction (SDP) is crucial in the early stages of defect-free software development before testing operations take place. Effective SDP can help test managers locate defects and defect-prone software modu…
• Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification
  2021 · 仿生智能 · OBJECTIVES: Big data analytics can potentially benefit the assessment and management of complex neurological conditions by extracting information that is difficult to identify manually. In this study, we evaluated the pe…
• Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm
  2021 · 仿生智能 · Magnetic Resonance Imaging (MRI) is a significant technique used to diagnose brain abnormalities at early stages. This paper proposes a novel method to classify brain abnormalities (tumor and stroke) in MRI images using …
• Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
  2021 · 仿生智能 · Electroencephalography (EEG) is a non-invasive technique used to record the brain's evoked and induced electrical activity from the scalp. Artificial intelligence, particularly machine learning (ML) and deep learning (DL…
• Deep Learning Estimation of Daily Ground‐Level NO 2 Concentrations From Remote Sensing Data
  2021 · 深海科技 · Abstract The limited number of nitrogen dioxide (NO 2 ) surface measurements calls for the development of highly accurate approaches to estimating surface NO 2 concentrations. In this study, we leverage a new satellite i…
• Review on Artificial Intelligence Techniques for Medical Diagnosis
  2020 · 医疗人工智能 · In this paper, different techniques used for medical diagnosis are discussed and their performances are compared. These techniques are CNN, Random forest, KNN, SVM etc. CNN (Convolution neural Network) includes layers an…
• Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?
  2020 · 医疗人工智能 · OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity. MATER…
• Brain Computer Interface based EEG for Emotion Recognition System: A Systematic Review
  2020 · 仿生智能 · Currently the Brain-Compute Interface (BCI) is an outstanding research area where the goal is to create an interaction channel between system and person brain. It provides direct way to transform brainwaves into physical…
• Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
  2020 · 量子材料 · Several machine-learning algorithms have been proposed for remote sensing image classification during the past two decades. Among these machine learning algorithms, Random Forest (RF) and Support Vector Machines (SVM) ha…
• Early automated detection system for skin cancer diagnosis using artificial intelligent techniques
  2024 · 医疗人工智能 · Recently, skin cancer is one of the spread and dangerous cancers around the world. Early detection of skin cancer can reduce mortality. Traditional methods for skin cancer detection are painful, time-consuming, expensive…
• Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data
  2019 · AI 安全与对齐 · Flooding is one of the leading threats of natural disasters to human life and property, especially in densely populated urban areas. Rapid and precise extraction of the flooded areas is key to supporting emergency-respon…
• State-of-the-art review of soft computing applications in underground excavations
  2019 · 生物计算 · Soft computing techniques are becoming even more popular and particularly amenable to model the complex behaviors of most geotechnical engineering systems since they have demonstrated superior predictive capacity, compar…
• Usage and comparison of artificial intelligence algorithms for determination of growth and development by cervical vertebrae stages in orthodontics
  2019 · 医疗人工智能 · BACKGROUND: Growth and development can be determined by cervical vertebrae stages that were defined on the cephalometric radiograph. Artificial intelligence has the ability to perform a variety of activities, such as pre…
• Wastewater treatment plant performance analysis using artificial intelligence – an ensemble approach
  2018 · 生物计算 · Abstract In the present study, three different artificial intelligence based non-linear models, i.e. feed forward neural network (FFNN), adaptive neuro fuzzy inference system (ANFIS), support vector machine (SVM) approac…
• fNIRS-based Neurorobotic Interface for gait rehabilitation
  2018 · 仿生智能 · BACKGROUND: In this paper, a novel functional near-infrared spectroscopy (fNIRS)-based brain-computer interface (BCI) framework for control of prosthetic legs and rehabilitation of patients suffering from locomotive diso…
• Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
  2018 · 仿生智能 · In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) patients is investigated. Brain tasks, chan…
• Multifeature Extraction and Seafloor Classification Combining LiDAR and MBES Data around Yuanzhi Island in the South China Sea
  2018 · 深海科技 · Airborne light detection and ranging (LiDAR) full waveforms and multibeam echo sounding (MBES) backscatter data contain rich information about seafloor features and are important data sources representing seafloor topogr…
• Machine learning methods for wind turbine condition monitoring: A review
  2018 · 深海科技 · This paper reviews the recent literature on machine learning (ML) models that have been used for condition monitoring in wind turbines (e.g. blade fault detection or generator temperature monitoring). We classify these m…
• Deep learning-based classification for brain-computer interfaces
  2017 · 仿生智能 · Brain-computer interface (BCI) is an emerging area of research that aims to improve the quality of human-computer applications. It has enormous scope in biomedical applications, neural rehabilitation, biometric authentic…
• Statistical classification of soft solder alloys by laser-induced breakdown spectroscopy: review of methods
  2016 · 地外矿物 · This paper reviews machine-learning methods that are nowadays the most frequently used for the supervised classification of spectral signals in laser-induced breakdown spectroscopy (LIBS). We analyze and compare various …
• A Hybrid Brain–Computer Interface Based on the Fusion of P300 and SSVEP Scores
  2015 · 仿生智能 · The present study proposes a hybrid brain-computer interface (BCI) with 64 selectable items based on the fusion of P300 and steady-state visually evoked potential (SSVEP) brain signals. With this approach, row/column (RC…
• Assessing the attention levels of students by using a novel attention aware system based on brainwave signals
  2015 · 仿生智能 · Abstract Rapid progress in information and communication technologies ( ICTs ) has fueled the popularity of e‐learning. However, an e‐learning environment is limited in that online instructors cannot monitor immediately …

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