The Levenberg-Marquardt algorithm: Implementation and theory

An Algorithm for Least-Squares Estimation of Nonlinear Parameters

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A flexible new technique for camera calibration

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Ecopath with Ecosim: Methods, capabilities and limitations

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Modeling Soil Processes: Review, Key Challenges, and New Perspectives

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SBA: A software package for generic sparse bundle adjustment

Lourakis, M. I. A., & Argyros, A. A. (2009) · ACM Transactions on Mathematical Software · doi:10.1145/1486525.1486527 · Cited by 788

Separable nonlinear least squares: the variable projection method and its applications

Golub, G., & Pereyra, V. (2003) · Inverse Problems · doi:10.1088/0266-5611/19/2/201 · Cited by 760

Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements

le Maire, G., François, C., & Dufrêne, E. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.09.004 · Cited by 631

Effect of Temperature on the Aging rate of Li Ion Battery Operating above Room Temperature

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Newton’s Method with a Model Trust Region Modification

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Forecasting exchange rates using feedforward and recurrent neural networks

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Review and application of Artificial Neural Networks models in reliability analysis of steel structures

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A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

Shariati, M., Mafipour, M. S., Ghahremani, B., Azarhomayun, F., Ahmadi, M., Trung, N. T., & Shariati, A. (2022) · Engineering with Computers · doi:10.1007/s00366-020-01081-0 · Cited by 367

Least-squares fitting algorithms of the NIST algorithm testing system

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Parameter estimation for unsaturated flow and transport models — A review

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Genetic algorithm based design of the active damping for a LCL-filter three-phase active rectifier

Liserre, M., Dell'Aquila, A., & Blaabjerg, F. (2003) · Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition, 2003. APEC '03. · doi:10.1109/apec.2003.1179221 · Cited by 313

Tropospheric emission spectrometer: retrieval method and error analysis

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Automatic Extrinsic Calibration of a Camera and a 3D LiDAR Using Line and Plane Correspondences

Zhou, L., Li, Z., & Kaess, M. (2018) · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2018.8593660 · Cited by 308

Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera

Pan, L., Scheerlinck, C., Yu, X., Hartley, R., Liu, M., & Dai, Y. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00698 · Cited by 308

Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification

Pranckevičius, T., & Marcinkevičius, V. (2017) · Baltic Journal of Modern Computing · doi:10.22364/bjmc.2017.5.2.05 · Cited by 307

Model‐free arterial spin labeling quantification approach for perfusion MRI

Petersen, E. T., Lim, T., & Golay, X. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20784 · Cited by 305

Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement

Yin, Z., Jin, Y., Shen, J. S., & Hicher, P. (2018) · International Journal for Numerical and Analytical Methods in Geomechanics · doi:10.1002/nag.2714 · Cited by 282

Least squares with a quadratic constraint

Gander, W. (1980) · Numerische Mathematik · doi:10.1007/bf01396656 · Cited by 280

Dynamic time warping and machine learning for signal quality assessment of pulsatile signals

Li, Q., & Clifford, G. D. (2012) · Physiological Measurement · doi:10.1088/0967-3334/33/9/1491 · Cited by 274

Combined neural network model employing wavelet coefficients for EEG signals classification

Übeyli, E. D. (2009) · Digital Signal Processing · doi:10.1016/j.dsp.2008.07.004 · Cited by 271

Sliding window filter with application to planetary landing

Sibley, G., Matthies, L., & Sukhatme, G. (2010) · Journal of Field Robotics · doi:10.1002/rob.20360 · Cited by 259

A survey of methods for 3D histology reconstruction

Pichat, J., Iglesias, J. E., Yousry, T., Ourselin, S., & Modat, M. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.02.004 · Cited by 207

3D Object Detection from Images for Autonomous Driving: A Survey

Ma, X., Ouyang, W., Simonelli, A., & Ricci, E. (2022) · arXiv · doi:10.48550/arxiv.2202.02980 · Cited by 147

Ill-Conditioning in Neural Network Training Problems

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A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects

Pauly, L., Rharbaoui, W., Shneider, C., Rathinam, A., Gaudillière, V., & Aouada, D. (2023) · Acta Astronautica · doi:10.1016/j.actaastro.2023.08.001 · Cited by 121

Tumor growthin vivo and as multicellular spheroids compared by mathematical models

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Novel methods for estimating lithium-ion battery state of energy and maximum available energy

Zheng, L., Zhu, J., Wang, G., He, T., & Wei, Y. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.06.031 · Cited by 92

6D object position estimation from 2D images: a literature review

Marullo, G., Tanzi, L., Piazzolla, P., & Vezzetti, E. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-022-14213-z · Cited by 64

Optimization of tuned mass damper parameters for floating wind turbines by using the artificial fish swarm algorithm

Jin, X., Xie, S., He, J., Lin, Y., Wang, Y., & Wang, N. (2018) · Ocean Engineering · doi:10.1016/j.oceaneng.2018.08.031 · Cited by 58

Development of optimal design formula for bi-tuned mass dampers using multi-objective optimization

Ok, S.-Y., Song, J., & Park, K.-S. (2009) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2008.11.023 · Cited by 35

Antidepressant efficacy is correlated with plasma levels: mega-analysis and further evidence

Cellini, L., De Donatis, D., Zernig, G., De Ronchi, D., Giupponi, G., Serretti, A., Xenia, H., Conca, A., & Florio, V. (2022) · International Clinical Psychopharmacology · doi:10.1097/yic.0000000000000386 · Cited by 24

Bibliometric Literature Review of Adaptive Learning Systems

Koutsantonis, D., Koutsantonis, K., Bakas, N. P., Plevris, V., Langousis, A., & Chatzichristofis, S. A. (2022) · Sustainability · doi:10.3390/su141912684 · Cited by 21

Deadenylation kinetics of mixed poly(A) tails at single-nucleotide resolution

Lee, Y.-S., Levdansky, Y., Jung, Y., Kim, V. N., & Valkov, E. (2024) · Nature Structural & Molecular Biology · doi:10.1038/s41594-023-01187-1 · Cited by 21

What Drives Risky Prescription Opioid Use? Evidence from Migration

Finkelstein, A., Gentzkow, M., Li, D., & Williams, H. (2022) · doi:10.3386/w30471 · Cited by 20

Disentangling the contributions of initial heterogeneities and dynamic stress adaptation to nonlinearities in bacterial survival curves

Georgalis, L., Yeak, K. Y. C., Tsimpou, C., Fernandez, P. S., Wells-Bennik, M., & Garre, A. (2023) · Food Research International · doi:10.1016/j.foodres.2023.113385 · Cited by 8

Dynamic Thermal Treatments in Green Coconut Water Induce Dynamic Stress Adaptation of Listeria innocua That Increases Its Thermal Resistance

González-Tejedor, G. A., Garre, A., Iguaz, A., Wong-Zhang, R., Fernández, P. S., & Possas, A. (2023) · Foods · doi:10.3390/foods12214015 · Cited by 4

Modeling potential environmental impacts of science activity in Antarctica

O'Sullivan, D., & Morgan, F. J. (2026) · Transactions in GIS · doi:10.1111/tgis.70369