Papers Hybrid Machine Learning
“Hybrid Machine Learning” 태그가 달린 논문 103편 · 필터 해제
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting
Farmers in developing regions like Karnataka, India, face a dual challenge: navigating extreme market and climate volatility while being excluded from the digital revolution due to literacy barriers. This paper presents …
Hybrid Machine Learningspeech-recognitionSpeech RecognitionSpeech SynthesisBayesian Hybrid Machine Learning of Gallstone Risk
Gallstone disease is a complex, multifactorial condition with significant global health burdens. Identifying underlying risk factors and their interactions is crucial for early diagnosis, targeted prevention, and effecti…
Decision MakingHybrid Machine LearningregressionVariable SelectionA Hybrid Neural Network -- Polynomial Series Scheme for Learning Invariant Manifolds of Discrete Dynamical Systems
We propose a hybrid machine learning scheme to learn -- in physics-informed and numerical analysis-informed fashion -- invariant manifolds (IM) of discrete maps for constructing reduced-order models (ROMs) for dynamical …
Hybrid Machine LearningMachine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach
The growing adoption of IoT systems in industries like transportation, banking, healthcare, and smart energy has increased reliance on sensor networks. However, anomalies in sensor readings can undermine system reliabili…
Anomaly DetectionHybrid Machine LearningIdentifying Heart Attack Risk in Vulnerable Population: A Machine Learning Approach
The COVID-19 pandemic has significantly increased the incidence of post-infection cardiovascular events, particularly myocardial infarction, in individuals over 40. While the underlying mechanisms remain elusive, this st…
Hybrid Machine LearningHybrid Machine Learning and Mathematical Modeling for Tumor Dynamics Prediction: Comparing SPIONs against mNP-FDG
This is a Machine Learning guided study towards zone-specific ray therapy. Combining Machine Learning (Extreme Gradient Boosting) with continuum modeling (exponential and logistic growth), we find that while fluorodeoxyg…
Hybrid Machine LearningOptimal normalization in quantum-classical hybrid models for anti-cancer drug response prediction
Quantum-classical Hybrid Machine Learning (QHML) models are recognized for their robust performance and high generalization ability even for relatively small datasets. These qualities offer unique advantages for anti-can…
Drug Response PredictionHybrid Machine LearningDeployment of Traditional and Hybrid Machine Learning for Critical Heat Flux Prediction in the CTF Thermal Hydraulics Code
Critical heat flux (CHF) marks the transition from nucleate to film boiling, where heat transfer to the working fluid can rapidly deteriorate. Accurate CHF prediction is essential for efficiency, safety, and preventing e…
Hybrid Machine LearningA Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis
Modeling path loss in indoor LoRaWAN technology deployments is inherently challenging due to structural obstructions, occupant density and activities, and fluctuating environmental conditions. This study proposes a two-s…
Hybrid Machine LearningIndoor Localizationinput filteringInterpretable Machine Learning+1Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models
Accurate modeling of the complex dynamics of fluid flows is a fundamental challenge in computational physics and engineering. This study presents an innovative integration of High-Order Singular Value Decomposition (HOSV…
Dimensionality ReductionHybrid Machine LearningUncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation
Precise vehicle state estimation is crucial for safe and reliable autonomous driving. The number of measurable states and their precision offered by the onboard vehicle sensor system are often constrained by cost. For in…
Autonomous DrivingAutonomous VehiclesHybrid Machine LearningState Estimation+1Hybrid machine learning data assimilation for marine biogeochemistry
Marine biogeochemistry models are critical for forecasting, as well as estimating ecosystem responses to climate change and human activities. Data assimilation (DA) improves these models by aligning them with real-world …
Hybrid Machine LearningIntegrating Boosted learning with Differential Evolution (DE) Optimizer: A Prediction of Groundwater Quality Risk Assessment in Odisha
Groundwater is eventually undermined by human exercises, such as fast industrialization, urbanization, over-extraction, and contamination from agrarian and urban sources. From among the different contaminants, the presen…
Feature ImportanceHybrid Machine LearningHybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
The rapid growth of the Internet of Things (IoT) has revolutionized industries, enabling unprecedented connectivity and functionality. However, this expansion also increases vulnerabilities, exposing IoT networks to incr…
Hybrid Machine LearningIntrusion DetectionHybrid machine learning based scale bridging framework for permeability prediction of fibrous structures
This study introduces a hybrid machine learning-based scale-bridging framework for predicting the permeability of fibrous textile structures. By addressing the computational challenges inherent to multiscale modeling, th…
Computational EfficiencyHybrid Machine LearningHybrid Machine Learning Model for Detecting Bangla Smishing Text Using BERT and Character-Level CNN
Smishing is a social engineering attack using SMS containing malicious content to deceive individuals into disclosing sensitive information or transferring money to cybercriminals. Smishing attacks have surged by 328%, p…
Binary ClassificationHybrid Machine LearningMulti-class ClassificationEmpirical modeling and hybrid machine learning framework for nucleate pool boiling on microchannel structured surfaces
Micro-structured surfaces influence nucleation characteristics and bubble dynamics besides increasing the heat transfer surface area, thus enabling efficient nucleate boiling heat transfer. Modeling the pool boiling heat…
Hybrid Machine LearningPhysics-informed machine learningHybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction
Trajectory prediction is crucial to advance autonomous driving, improving safety, and efficiency. Although end-to-end models based on deep learning have great potential, they often do not consider vehicle dynamic limitat…
Autonomous DrivingDeep LearningHybrid Machine LearningTrajectory PredictionLC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements
This article introduces a novel methodology that integrates singular value decomposition (SVD) with a shallow linear neural network for forecasting high resolution fluid mechanics data. The method, termed LC-SVD-DLinear,…
Hybrid Machine LearningUncertainty QuantificationEnhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets
Objective: This study explores a semi-supervised learning (SSL), pseudo-labeled strategy using diverse datasets to enhance lung cancer (LCa) survival predictions, analyzing Handcrafted and Deep Radiomic Features (HRF/DRF…
Hybrid Machine LearningSurvival AnalysisSurvival Prediction