Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling by Maqsood Ahmed, Xiang Zhang, Yonglin Shen, Tanveer Ahmed, Shahid Ali, Ayaz Ali, Aminjon Gulakhmadov, Won-Ho Nam, Nengcheng Chen

“…The experimental results demonstrate that the AQP-Mamba significantly outperforms several state-of-the-art models, including VideoSwin-T, VideoMAE, I3D, VTHCL, and TimeSformer. The proposed model achieves strong regression performance (PM2.5: R2 = 0.91, PM10: R2 = 0.90, AQI: R2 = 0.92) and excellent classification metrics: accuracy (94.57 %), precision (93.86 %), recall (94.20 %), and F1-score (93.44 %), respectively. …”
Get full text

Plastic Injection Molding Process Analysis: Data Integration and Modeling for Improved Production Efficiency by Jose Isidro Hernández-Vega, Luis Alejandro Reynoso-Guajardo, Mario Carlos Gallardo-Morales, María Ernestina Macias-Arias, Amadeo Hernández, Nain de la Cruz, Jesús E. Soto-Soto, Carlos Hernández-Santos

Get full text

Evaluation of machine learning-based regression techniques for prediction of diabetes levels fluctuations by Badriah Alkalifah, Muhammad Tariq Shaheen, Johrah Alotibi, Tahani Alsubait, Hosam Alhakami

“…To support this an Artificial Neural Network (ANN), Binary Decision Tree (BDT), Linear Regression (LR), Boosting Regression Tree Ensemble (BSTE), Linear Regression with Stochastic Gradient Descent (LRSGD), Stepwise (SW), Support Vector Machine (SVM), and Gaussian process regression (GPR) were investigated. …”
Get full text

Does machine learning outperform logistic regression in predicting individual tree mortality? by Aitor Vázquez-Veloso, Astor Toraño Caicoya, Felipe Bravo, Peter Biber, Enno Uhl, Hans Pretzsch

Get full text

Variational Bayesian Variable Selection in Logistic Regression Based on Spike-and-Slab Lasso by Juanjuan Zhang, Weixian Wang, Mingming Yang, Maozai Tian

Get full text

Comparison of various machine learning regression models based on Human age prediction by Dr.Manaf K Hussein

Get full text

Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

Get full text

Developmental regression associated with PTSD in children: a poorly defined and understudied phenomenon by Alameddine Abbas

Get full text

Performance of Sentiment Classification on Tweets of Clothing Brands by Muhammad Shafiq Jalani, Hu Ng, Timothy Tzen Vun Yap, Vik Tor Goh

“…The word embeddings are fed into classification models namely Support Vector Machine (SVM), Naïve Bayes (NB), Random Forest (RF), Logistic Regression (LR) and Multilayer Perceptron (MLP) by comparing their accuracy performances.  …”
Get full text

Probabilistic Ensemble Framework for Injury Narrative Classification by Srushti Vichare, Gaurav Nanda, Raji Sundararajan

Get full text

Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data by Miroslav Nikolić, Danilo Nikolić, Miroslav Stefanović, Sara Koprivica, Darko Stefanović

“…The evaluated models included Binary Logistic Regression with polynomial degrees of 1, 2, 3, and 4, Random Forest, and XGBoost classification algorithms. …”
Get full text

Naive Bayes Classification for Software Defect Prediction by Edwin Hari Agus Prastyo, Muhammad Ainul Yaqin, Suhartono, M. Faisal, Reza Augusta Jannatul Firdaus

Get full text

An updated version of the SZ-plugin: From space to space–time data-driven modeling in QGIS by Giacomo Titti, Liwei Hu, Pietro Festi, Letizia Elia, Lisa Borgatti, Luigi Lombardo

Get full text

Fault Diagnosis of Electric Impact Drills Based on Time-Varying Loudness and Logistic Regression by Yapeng Jing, Haitao Su, Shao Wang, Wenhua Gui, Qing Guo

Get full text

Improving Cell Nuclei Segmentation in Pathological Tissues Using Self-Supervised Regression Method by Hesham Ali, Mostafa Hammouda, Mustafa Elattar, Sahar Selim

Get full text

An AHP-multiple logistic regression model for risk assessment of highly pathogenic avian influenza by Guanzhao Wang, Tian Yang, Zelong Ouyang, Jinqiong Li, Zhihua Li, Jing Cao, Yajie Wang, Yongning Wu, Weixin Jia, Zhifeng Qin, Qinghua He

“…The risk assessment model based on AHP-multiple logistic regression was built with an accuracy rate of 93.3 %. …”
Get full text

Machine Learning-Based Ransomware Classification of Bitcoin Transactions by Suleiman Ali Alsaif

“…The proposed approach makes use of three supervised machine learning methods to learn the distinctive patterns in Bitcoin payment transactions, namely, logistic regression (LR), random forest (RF), and Extreme Gradient Boosting (XGBoost). …”
Get full text

CCTV image‐based classification of blocked trash screens by Rory Cornelius Smith, Andrew Paul Barnes, Jingjing Wang, Simon Dooley, Christopher Rowlatt, Thomas Rodding Kjeldsen

“…The performance of a logistic regression for classification of images was investigated using three different subsets of the labelled images: (1) the original dataset, (2) a balanced but under‐sampled dataset with equal number of blocked and unblocked images, and (3) an augmented dataset with an equal number of blocked and unblocked images using Gaussian noise augmentation to increase the number of unblocked images. …”
Get full text

Convolutional kernel-based classification of industrial alarm floods by Gianluca Manca, Alexander Fay

“…In the transformation stage, alarm floods are subjected to an ensemble of convolutional kernel-based transformations (MultiRocket) to extract their characteristic dynamic properties, which are then fed into the classification stage, where a linear ridge regression classifier ensemble is used to identify recurring alarm floods. …”
Get full text

An Integrated Learning Approach for Municipal Solid Waste Classification by Hieu M. Sondao, Tuan M. Le, Hung V. Pham, Minh T. Vu, Son Vu Truong Dao

“…Initially, four deep learning models—DenseNet161, ResNet152, and MobileNetV3 variants—are explored to determine the most suitable feature extraction method. …”
Get full text