Automated grading of oleaster fruit using deep learning by Aram Azadpour, Kaveh Mollazade, Mohsen Ramezani, Hadi Samimi-Akhijahani

“…Initially, in the offline phase, a dataset containing video frames of four different quality classes of oleaster, categorized based on the Iranian national standard, was acquired at different linear conveyor belt velocities (ranging from 4.82 to 21.51 cm/s). …”
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GoldPolish-target: targeted long-read genome assembly polishing by Emily Zhang, Lauren Coombe, Johnathan Wong, René L. Warren, Inanç Birol

“…Coupled with GoldPolish, a linear-time genome assembly algorithm, GoldPolish-Target isolates and polishes user-specified assembly loci, offering a resource-efficient means for polishing targeted regions of draft genomes. …”
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Data-Driven Dynamic Optimization for Hosting Capacity Forecasting in Low-Voltage Grids by Md Tariqul Islam, M. J. Hossain, Md Ahasan Habib

“…The study shows that the model effectively captures the non-linear and time-sensitive interactions between network parameters, DER variables, and weather information. …”
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Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic by Alfredo Madrid-García, Dalifer Freites-Núñez, Beatriz Merino-Barbancho, Inés Pérez Sancristobal, Luis Rodríguez-Rodríguez

“…Finally, hot and cold trends were identified using linear regression models. Results: Abstracts were classified into 45 and 47 topics. …”
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A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

“…The CNN’s performance was benchmarked against four machine learning (ML) models: stepwise linear regression (SLR), support vector machine (SVM), Gaussian process regression (GPR), and random forest (RF). …”
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Dendritic Gold Nanoparticles Loaded on 3D Graphene-like Surface and Layer-by-Layer Assembly for Enhanced Glucose Biosensing by Zifeng Zhu, Yiming Zhao, Yongming Ruan, Xuexiang Weng, Gesmi Milcovich

“…The composite electrode exhibited a linear response to glucose in the concentration range of 6.923 × 10⁻² mM to 1.54 mM, with an apparent Michaelis constant of 0.352 ± 0.02 mM. …”
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Experimental and Computational Study of the Formation of Composite Granular Fuel by L. N. Ovchinnikov, N. L. Ovchinnikov, A. V. Mitrofanov, S. V. Vasilevich, S. V. Shpeynova

“…These circumstances practically make stable and efficient operation of automation systems, mechanization of transportation of pellets, and technological processes of boilers impossible. …”
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Cover Crop Types Influence Biomass Estimation Using Unmanned Aerial Vehicle-Mounted Multispectral Sensors by Sk Musfiq Us Salehin, Chiranjibi Poudyal, Nithya Rajan, Muthukumar Bagavathiannan

“…These findings demonstrate the potential of high-resolution multispectral imaging for efficient biomass assessment in precision agriculture.…”
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POD-Based Machine Learning Approach for Coupled EM-Thermal Analysis in Microwave Heating by Jeong-Wan Lee, Gyu-Sik Choi, Sung-Jun Yang

“…In this paper, we propose a machine learning-based approach for reduced-order modeling that efficiently predicts the specific absorption rate (SAR) distributions in coupled EM and thermal analyses. …”
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Poor mental health and its impact on academic outcomes in university students before and during the COVID-19 pandemic: analysis of routine service data by Brian C. F. Ching, Jane S. Hahn, Sarah Corrie, Rhiannon Thomas, Anca Alba

“…Unadjusted and adjusted linear regression models were conducted to assess potential explanatory factors for poor outcomes. …”
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Intelligent back-to-back testing with denoising autoencoder-based fault detection and DBSCAN clustering by Mohammad Abboush, Christoph Knieke, Andreas Rausch

“…This approach, however, is limited in its ability to address the complexities inherent in modern systems, particularly in the presence of non-linear dynamic multivariate behaviour under noisy conditions. …”
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Method of restoring multivariable Boolean function from its derivative by Alexander V. Mazurenko, Nadezhda S. Mogilevskaya

“…The proposed algorithm of the preimage generation is significantly efficient from the standpoint of the algorithmic complexity compared to the full enumeration method. …”
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Intelligent Wireless Charging Path Optimization for Critical Nodes in Internet of Things-Integrated Renewable Sensor Networks by Nelofar Aslam, Hongyu Wang, Muhammad Farhan Aslam, Muhammad Aamir, Muhammad Usman Hadi

“…To achieve it, we propose an objective function by incorporating a time-varying <i>z</i> phase that is managed through linear programming to efficiently address the bottleneck nodes. …”
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SiMBA-Augmented Physics-Informed Neural Networks for Industrial Remaining Useful Life Prediction by Min Li, Jianfeng Qin, Haifeng Fan, Ting Ke

“…This physics-aware framework achieves deployable and interpretable RUL prediction by balancing accuracy with linear-time complexity.…”
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A novel transformer-based dual attention architecture for the prediction of financial time series by Anita Hadizadeh, Mohammad Jafar Tarokh, Majid Mirzaee Ghazani

“…Abstract Financial prediction has gained significant attention due to the complex and non-linear dynamics of the market. A promising approach for generating accurate predictions is Transformers. …”
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The Association of Economic Outcome and Geriatric Syndromes among Older Adults with Transcatheter Aortic Valve Replacement (TAVR) by Min Ji Kwak, Rafia Rasu, Robert O. Morgan, Jessica Lee, Nahid J. Rianon, Holly M. Holmes, Abhijeet Dhoble, Dae Hyun Kim

“…From a multivariable generalized linear regression, delirium increased the cost by 31.5% (95% CI 25.41~37.92) and LOS by 70.3% (95% CI 60.20~83.38). …”
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Selection and Identification of a Model of Elasto-Viscoplasticity of the Filled Fluorocomposite according to Free and Constrained Compression Tests by D. S. Petukhov, A. A. Adamov, I. E. Keller

“…For this purpose, an efficient search algorithm based on the simplex method of minimizing the discrepancy was implemented. …”
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An Occupancy-Based Adaptive Signal Control for a Congested Signalized Intersection in the Low CV Penetration Environment by Yi Zhang, Jianhua Zhang, Baihong Tan, Shuxian He, Liqun Peng, Tony Z. Qiu

“…Adaptive signal control (ASC) is a well-researched topic that offers an efficient way for traffic management. It possesses a powerful ability to accommodate complex and constantly changing urban transportation networks. …”
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Minimum Mismatch Modeling (3M) Hyperparameter Selection in Autoregressive Moving Average (ARMA) Modeling by Soosan Beheshti, Vedant Bommanahally

“…In AR modeling, the parameter estimator is based on the Yule-Walker method, which is a linear estimator, and the 3M calculation process using the available MSE has been provided for this modeling. …”
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Electrochemical Sensing of Dopamine Neurotransmitter by Deep Eutectic Solvent–Carbon Black–Crosslinked Chitosan Films: Charge Transfer Kinetic Studies and Biological Sample Analysi... by Alencastro Gabriel Ribeiro Lopes, Rafael Matias Silva, Orlando Fatibello-Filho, Tiago Almeida Silva

“…The proposed sensor achieved a linear response range of 0.498 to 26.8 µmol L⁻¹ and limits of detection and quantification of 80.7 and 269 nmol L⁻¹, respectively. …”
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