Search Results - Model and hyperparameter optimization

A Hybrid Prediction Model for Wind–Solar Power Generation with Hyperparameter Optimization and Application in Building Heating Systems

Authors: Dai, Huageng Zhao, Yongkang Deng, Yuzhu et al.

Source: Buildings. 15(18)

Subject Terms: building heating applications, hybrid model, hyperparameter optimization, variational mode decomposition (VMD), wind-solar power prediction

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-371192
https://doi.org/10.3390/buildings15183367

Enhancing product variation generation with hyperparameter optimization of user-guided model

Authors: Dong, Yi Ji, Rongjiao Tenente, Francisco et al.

Contributors: Dong, Yi Ji, Rongjiao Tenente, Francisco et al.

Subject Terms: Artificial Intelligence, Image-to-image generation, Stable Diffusion XL, Product design, Prompt engineering, Industrial design, Machine learning, Domínio/Área Científica::Ciências Sociais::Economia e Gestão

File Description: application/pdf

Availability: http://hdl.handle.net/10362/185740

Research on Intelligent Supply Chain Forecasting Based on Multi-Model Hyperparameter Optimization

Authors: Yize Guo Zixin Xu

Source: Theoretical and Natural Science. 87:266-279

Fault diagnosis of air compressors using transfer learning: A comparative study of pre-trained networks and hyperparameter optimization

Authors: Srivatsan, B. Venkatesh, Sridharan Naveen Aravinth, S. et al.

Source: Journal of Low Frequency Noise, Vibration and Active Control. 43(4):1877-1894

Subject Terms: Pre-trained models, deep learning, air compressor, ResNet-50, GoogLeNet, AlexNet and VGG-16, Operation and Maintenance Engineering, Drift och underhållsteknik

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-108588
https://doi.org/10.1177/14613484241273652

The Effect of Hyperparameter Optimization on the Estimation of Performance Metrics in Network Traffic Prediction using the Gradient Boosting Machine Model

Authors: Mbelwa, Jimmy Agbinya, Johnson Mwita, Machoke et al.

Source: Engineering, Technology & Applied Science Research. 13:10714-10720

Subject Terms: machine learning, gradient boosting machine prediction, data loggers, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Keywords-network traffic

File Description: application/pdf

Nesting optimization with adversarial games, meta-learning, and deep equilibrium models

Authors: Micaelli, Paul Storkey, Amos Hospedales, Timothy

Contributors: Micaelli, Paul Storkey, Amos Hospedales, Timothy

Subject Terms: Nested optimization, Deep Learning, adversarial games, meta-learning, deep equilibrium models, casting model compression, meta-learning hyperparameters, Gradient-based hyperparameter optimization, deep equilibrium model (DEQ)

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.889335

Quantum Rotation Gate-Based Particle Swarm Algorithm for Test Data Anomaly Detection Model Hyperparameter Optimization

Authors: Fu He Qing Song Haiwen Yuan et al.

Source: 2023 6th International Conference on Artificial Intelligence and Big Data (ICAIBD). :143-147

Anomaly-based detection of cyberattacks in smart homes

Authors: Iturbe Araya, Juan Ignacio

Contributors: University/Department: Universitat Oberta de Catalunya. Escola de Doctorat

Thesis Advisors: Rifà-Pous, Helena

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: llars intel·ligents, hogares inteligentes, smart homes, ciberseguretat, ciberseguridad, cybersecurity, detecció d´intrusos basada en anomalies, detección de intrusos basada en anomalías, anomaly-based intrusion detection, aprenentatge no supervisat, aprendizaje no supervisado, unsupervised learning, desbalance de classes, desbalance de clases, class imbalance, optimització d'hiperparàmetres, optimización de hiperparámetros, hyperparameters optimization, métricas de evaluación, mètriques d'avaluació, evaluation metrics, seguretat IoT, seguridad IoT, IoT security, conjunts de dades desbalancejades, conjuntos de datos desbalanceados, imbalanced datasets

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/695557

Automating news classification with large language models: Exploring fine-tuning, dataset size, and architecture

Authors: Yesilyurt, Burcu Bação, Fernando José Ferreira Lucas RUN

Contributors: Yesilyurt, Burcu Bação, Fernando José Ferreira Lucas RUN

Subject Terms: Large Language Models, Text Classification, News Classification, Fine-Tuning, Hyperparameter Optimization, BERT, SDG 4 - Quality education, SDG 9 - Industry, innovation and infrastructure, SDG 16 - Peace, justice and strong institutions, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

File Description: application/pdf

Availability: http://hdl.handle.net/10362/190563

LSTM-Based Market Forecasting: Hyperparameter Optimization Using Genetic and Differential Evolution Algorithms

Authors: Magalhães, Flavio Ivo Riedlinger de Castelli, Mauro Perezhohin, Yuriy et al.

Contributors: Magalhães, Flavio Ivo Riedlinger de Castelli, Mauro Perezhohin, Yuriy et al.

Subject Terms: Long Short-Term Memory, Genetic Algorithms, Differential Evolution Algorithm, Financial Market Prediction, Proportional Capital Allocation, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, SDG 12 - Responsible production and consumption, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

File Description: application/pdf

Availability: http://hdl.handle.net/10362/191019

井漏预测模型的超参数优化与解释: 以伊朗马伦油田为例.

Alternate Title: Drilling Fluid Lost-circulation Prediction Model Hyperparameter Optimization and Interpretation: A Case Study of the Marun Field in Iran.

Authors: 李恒丰 李琳 赵志峰

Source: Science Technology & Engineering. 2024, Vol. 24 Issue 35, p15006-15013. 8p.

Adaptive hyperparameter optimization for author name disambiguation.

Authors: Lu, Shuo Zhou, Yong

Source: Journal of the Association for Information Science & Technology. Aug2025, Vol. 76 Issue 8, p1082-1104. 23p.

Subject Terms: *Computers, *Data analysis, *Data mining, *Cluster analysis (Statistics), *Authorship, *Information retrieval, *Machine learning, *Algorithms, Statistical models, Random forest algorithms, Prediction models, Research funding, Probability theory, Descriptive statistics, Regression analysis

Stroke Detection in Brain CT Images Using Convolutional Neural Networks: Model Development, Optimization and Interpretability.

Authors: Abdi, Hassan Sattar, Mian Usman Hasan, Raza et al.

Source: Information. May2025, Vol. 16 Issue 5, p345. 29p.

Subject Terms: Convolutional neural networks, Brain tomography, Receiver operating characteristic curves, Data augmentation, Computed tomography, Deep learning

A surface roughness prediction model in cemented carbide grinding based on Bayesian Multilayer Perceptron.

Authors: He, Mengfu Liu, Hao Zhang, Bi et al.

Source: International Journal of Advanced Manufacturing Technology. Nov2025, Vol. 141 Issue 1/2, p591-608. 18p.

Subject Terms: *SURFACE roughness, *DEEP learning, *PREDICTION models, *MULTILAYER perceptrons, *GRINDING machines

Fairness-Aware Hyperparameter Optimization

Authors: André Miguel Ferreira da Cruz

Subject Terms: Engenharia electrotécnica, electrónica e informática, Electrical engineering, Electronic engineering, Information engineering

File Description: application/pdf

Availability: https://hdl.handle.net/10216/128959

Semi-supervised GAN with hybrid regularization and evolutionary hyperparameter tuning for accurate melanoma detection

Authors: Golkarieh, Alireza Razmara, Parsa Lagzian, Ahmadreza et al.

Source: Scientific Reports. 15(1)

Subject Terms: Artificial Bee Colony, Generative Adversarial Network, Hyperparameter Optimization, Melanoma Detection, Semi-supervised Learning, Algorithm, Artificial Neural Network, Diagnosis, Human, Melanoma, Skin Tumor, Supervised Machine Learning, Algorithms, Humans, Neural Networks, Computer, Skin Neoplasms

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55556
https://doi.org/10.1038/s41598-025-17756-x

SADASNet: A Selective and Adaptive Deep Architecture Search Network with Hyperparameter Optimization for Robust Skin Cancer Classification.

Authors: İlker, Günay Özkan, İnik

Source: Diagnostics (2075-4418); Mar2025, Vol. 15 Issue 5, p541, 27p

Subject Terms: COMPUTER vision, PARTICLE swarm optimization, DEEP learning, TUMOR classification, SKIN cancer

Ensemble learning of model hyperparameters and spatiotemporal data for calibration of low-cost PM2.5 sensors.

Authors: Yin, Peng-Yeng Tsai, Chih-Chun Day, Rong-Fuh et al.

Source: Mathematical Biosciences and Engineering. 16(6)

Subject Terms: Chemical Engineering, Mathematical Sciences, Applied Mathematics, Engineering, ensemble learning, low-cost sensors, air quality index, particle swarm optimization, PM2.5, spatiotemporal data, sensor calibration, PM2.5, air quality index, ensemble learning, low-cost sensors, particle swarm optimization, sensor calibratio, spatiotemporal data, Biomedical Engineering, Bioinformatics, Chemical engineering, Applied mathematics

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/41z065nm
https://escholarship.org/content/qt41z065nm/qt41z065nm.pdf

Surrogate optimization of deep neural networks for groundwater predictions

Authors: Müller, Juliane Park, Jangho Sahu, Reetik et al.

Subject Terms: 46 Information and Computing Sciences (for-2020), 4611 Machine Learning (for-2020), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Machine Learning and Artificial Intelligence (rcdc), Hyperparameter optimization, Machine learning, Derivative-free optimization, Groundwater prediction, Surrogate models, stat.ML, stat.ML, cs.LG, math.OC, surrogate modeling, groundwater prediction, Hyperparameter optimization, Machine learning, Derivative-free optimization, Groundwater prediction, Surrogate models, 0102 Applied Mathematics (for), 0103 Numerical and Computational Mathematics (for), 0802 Computation Theory and Mathematics (for), Operations Research (science-metrix), 4602 Artificial intelligence (for-2020), 4901 Applied mathematics (for-2020), 4903 Numerical and computational mathematics (for-2020)

Access URL: https://escholarship.org/uc/item/9371x126

Evaluation of the Reproducibility of Radiomic Intelligent Systems for Early Detection of Lung Cancer

Authors: Torres, Guillermo Eduardo

Thesis Advisors: Sánchez Ramos, Carles, Gil Resina, Debora

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Detecció precóz de cancer de pulmó, Early lung cancer diagnosis, Detección precóz de cancer de pulmón, Optimització de hiperparámetro, Hyperparameter optimization, Optimización de hiperparámetro, Aprenentatge automàtic, Machine learning, Aprendizaje automático, Tecnologies

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/691667