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15341
Modeling the Relationship Between Radon Anomalies and Seismic Activity Using Artificial Neural Networks and Statistical Methods
Published 2025-03-01“…The methodology includes wavelet transformation for noise removal, a multilayer ANN trained using the Levenberg–Marquardt algorithm, and a segmentation approach based on radial zones (annuli) for localized predictions. …”
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15342
Comparing machine learning approaches for estimating soil saturated hydraulic conductivity.
Published 2024-01-01“…Since the associated laboratory/field experiments are time-consuming and labor-intensive, pedotransfer functions (PTFs) that rely on statistical predictors are usually integrated with the existing measurements to predict Kfs in other areas of the field. In this study some of the most appropriate machine learning approaches, including variants of artificial neural networks (ANNs) were used for predicting Kfs by some easily measurable soil attributes. …”
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15343
Calibration and uncertainty quantification for deep learning-based drought detection
Published 2025-06-01“…To address this shortcoming, we introduce methodologies for model calibration and entropy-based uncertainty quantification for deep learning-based drought detection. The calibration algorithm can deal with calibration errors by reducing distributional shifts and alleviating overconfident predictions. …”
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15344
Advancing eHealth in Society 5.0: A Fuzzy Logic and Blockchain-Enhanced Framework for Integrating IoMT, Edge, and Cloud With AI
Published 2024-01-01“…We introduce the Health Prediction using Cloud Edge 2.0 (HPCE 2.0) algorithm, which employs fuzzy logic to effectively combine historical Electronic Health Records (EHRs) with real-time IoMT data, providing precise and personalized health severity level predictions. …”
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15345
Hybrid Artificial Neural Network Activation Function to Reduce Water Wastage in Agricultural Irrigation
Published 2025-01-01“…The study proposes a hybrid activation function based on the Artificial Neural Network algorithm. This function is used to classify the need for irrigation in various crops and predict the best time of the day for watering. …”
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15346
Promoter Region and Regulatory Elements of IGF and VIP Genes Associated With Reproductive Traits in Chicken
Published 2025-01-01“…Several in silico tools, such as Neural Network Promoter Prediction (NNPP), Multiple Expectation maximizations for Motif Elicitation (MEME-Suite), GC-Profiles, microsatellite prediction (MISA-web), CLC Genomics, Multiple Association Network Integration Algorithm (GeneMANIA), and Gene Ontology for Motifs (GOMO), were used to characterize the promoter regions and regulatory elements of IGF and VIP genes. …”
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15347
Machine learning developed immune-related exosome signature for prognosis and immunotherapy benefit in bladder cancer
Published 2025-04-01“…To investigate the performance of IES in predicting the immunotherapy benefit, three immunotherapy datasets (GSE91061, GSE78220 and IMvigor210) and several predicting scores were used. …”
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15348
Tumor associated neutrophils promote prostate cancer progression by mediating neutrophil trap secretion through PSMA1- NF-κB-HIF-1α signaling axis
Published 2025-08-01“…Prostate cancer (PCa) is a common and deadly cancer in men, and despite its low specificity, PSA testing is the main method that is used to predict prognosis. Effective methods for predicting prognosis in clinical practice are lacking. …”
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15349
A method for measuring carbon emissions from power plants using a CNN-LSTM-Attention model with Bayesian optimization
Published 2024-11-01“…The results indicate that the proposed model achieved the highest performance across every evaluation index for predicting CO2 emissions from coalfired power plants, and the prediction accuracy of the CO2 emission in the future months is also guaranteed.…”
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15350
Artificial Neural Network Approach to Study Imprecisely Defined Nonlinear Systems With Case Studies
Published 2025-01-01“…A feed-forward neural network (FFNN) is used to generate outputs based on initial guesses for the field variables, and the ANN-LM algorithm optimizes the solution by minimizing the error between predicted and target values. …”
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15351
Cooperative UAV Scheduling for Power Grid Deicing Using Fuzzy Learning and Evolutionary Optimization
Published 2025-01-01“…The algorithm is fully parallelizable and therefore can solve the problem very efficiently based on GPU parallel acceleration. …”
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15352
Gestational diabetes mellitus and obesity: effects on offspring
Published 2021-07-01“…CHAID method (Chi Squared Automatic Interaction Detection) was used to create an algorithm for predicting adverse perinatal outcomes in GDМ. …”
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15353
Intrusion detection system based on machine learning using least square support vector machine
Published 2025-04-01“…This framework utilizes quantum-inspired least square support vector machine (LS-SVM) classifier. This algorithm is used to enhance the classification accuracy in terms of reducing false predictions while minimizing the training time. …”
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15354
Artificial Neural Network Modeling of NixMnxOx based Thermistor for Predicative Synthesis and Characterization
Published 2017-06-01“…The accomplished ANN modeling evidences a lower number of hidden neuron architecture exhibiting optimum performance as regards to prediction accuracy. The lower number of hidden neurons signifies a lesser amount of memory required for prediction of different chemical composition. …”
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15355
Interpretable Machine Learning for Thermospheric Mass Density Modeling Using GRACE/GRACE‐FO Satellite Data
Published 2025-03-01“…A critical aspect of our work is minimizing the number of input parameters while maintaining high prediction accuracy. And the interpretability analysis of the input parameters using the Shapley additive explanation algorithm has been applied, revealing that the altitude, solar activity index P10.7 and solar zenith angle are the three most influential parameters affecting TMD variations at GRACE satellite. …”
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15356
Efficient Resources Provisioning Based on Load Forecasting in Cloud
Published 2014-01-01“…It integrates an improved support vector regression algorithm and Kalman smoother. Public trace data taken from multitypes of resources were used to verify its prediction accuracy, stability, and adaptability, comparing with AR, BPNN, and standard SVR. …”
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15357
An Adaptive Robust Event-Triggered Variational Bayesian Filtering Method with Heavy-Tailed Noise
Published 2025-05-01“…The one-step state prediction probability density function and the measurement likelihood function are modeled as Student’s t-distributions. …”
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15358
Arctic Heatwaves Could Significantly Influence the Isoprene Emissions From Shrubs
Published 2024-01-01“…With a modified algorithm from this study, MEGAN predicts 66% higher isoprene emissions for Arctic willows during an Arctic heatwave. …”
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15359
Measurement of the double-differential inclusive jet cross section in proton-proton collisions at s $$ \sqrt{s} $$ = 5.02 TeV
Published 2025-01-01“…The results are compared to predictions of perturbative quantum chromodynamics, calculated at both next-to-leading order and next-to-next-to-leading order. …”
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15360
A recurrent neural network‐based rotor displacement estimation method for eight‐pole active magnetic bearing
Published 2024-11-01“…The input dimensions and the architecture of the neural network are optimised to improve both prediction accuracy and computational complexity. Experimental results validate the effectiveness of the algorithm and demonstrate that the proposed method has high accuracy, robustness and generalisation ability.…”
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