Shadi Park Renovation with Social Development Emphasis: A Case Study Halabja City, Iraq by Mihraban Othman Mustafa, Masoumeh Faraji, Zaniar Jamal Salih, Muhammed Saeed Rasheed

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EMFF-Net: Edge-Enhancement Multi-Scale Feature Fusion Network by Xuhui Guan, Jiwang Zhou, Jian Chen, Xiaodan Xu, Yizhang Jiang, Kaijian Xia

“…Extensive qualitative and quantitative experiments on five benchmark datasets and two private datasets demonstrate that the EMFF-Net proposed in this paper significantly improves segmentation accuracy across six metrics. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…After introducing a large amount of uncertainty into a dataset, we normalize the data and finish training on clean data. …”
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Integration of single-cell and bulk RNA-sequencing data to construct and validate a signature based on NK cell marker genes to predict immunotherapy response and prognosis in color... by Xiaoyu Qin, Wenjuan Xu, Jinxiu Wu, Ming Li

“…Two validation cohorts from the GEO dataset, comprising 124 and 201 samples respectively, were used. …”
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Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania by Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar

“…With regard to the evaluation metrics, we show that the Ensemble Learning Model has achieved the best performance modelling both balanced and unbalanced datasets. Our policy recommendations draw on the results of the algorithmic predictions.…”
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Estimation of the Visibility in Seoul, South Korea, Based on Particulate Matter and Weather Data, Using Machine-learning Algorithm by Bu-Yo Kim, Joo Wan Cha, Ki-Ho Chang, Chulkyu Lee

“…The estimation accuracy for the test dataset was good (bias = −0.11 km, RMSE = 2.08 km, and r = 0.94); the estimation accuracy was higher in the dry season (bias = −0.06 km, RMSE = 1.79 km, and r = 0.96) than in the rainy season (bias = −0.17 km, RMSE = 2.34 km, and r = 0.91). …”
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Light-YOLO: a lightweight detection algorithm based on multi-scale feature enhancement for infrared small ship target by Ji Tang, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen

“…Experimental results demonstrate that Light-YOLO outperforms YOLOv8n, achieving optimal performance on an infrared ship small target detection dataset with 9.2G FLOPs. It notably enhances accuracy, recall rate, and average precision by 1.76%, 0.83%, and 2.27%, respectively.…”
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Hematological study of patients with recurrent aphthous stomatitis - Case control study by Shaheen Ali Ahmed, Ali Fakhree Alzubaidee

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Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

“…Conventional ML techniques like random forest (RF) and decision tree (DT) were also employed for comparison. A dataset of 346 experimental data sets from existing literature was used to evaluate model performance. …”
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Ecological shifts in lagoon patch reefs: consequences of large-scale alterations to coastal systems by Kathleen Sullivan Sealey, Ellery Lennon, Amelia Grace Roskar, Jacob Patus

“…Long-term studies of lagoonal patch reefs in the central Bahamas were reviewed using a threat assessment matrix to understand spatial and temporal changes in patch reef diversity. A 13-year dataset that includes both epifaunal invertebrate and fish surveys was used to address two research questions: (1) Are there spatial patterns of diversity loss across the tropical lagoon linked to distance from potential land-based sources of pollution? …”
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Trend of skin cancer mortality and years of life lost in China from 2013 to 2021 by Jingyi Li, Jiaqi Zeng, Yuanchao Yang, Biran Huang

“…This study aimed to estimate the mortality trends of skin cancer in China within 2013–2021.MethodsA retrospective analysis of skin cancer deaths within 2013–2021 was performed using the China death cause surveillance dataset compiled by the National Health Commission Statistics Information Center and the China Center for Disease Control and Prevention Chronic Non-Communicable Diseases Prevention and Control Center. …”
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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

“…We employ artificial neural networks (ANNs) and random forests (RFs) on a dataset of 400 patients with 25 input features, which we divide into three feature sets. …”
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Instruction and demonstration-based secure service attribute generation mechanism for textual data by LI Chenhao, WANG Na, LIU Aodi

“…The candidate service attribute extraction component of the proposed mechanism achieves an optimal average <italic>F</italic>1 score in few-shot experiments on the CoNLL-2003 dataset, surpassing the baseline model. This positions the mechanism as state-of-the-art. …”
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Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“…The challenge lies not just in the selection of an ML algorithm but in identifying the most appropriate one for a specific task as well, given the vast array of options available. Each unique dataset requires a comparative analysis to determine the best-performing algorithm. …”
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…Data imbalance is one of the major challenges in health insurance fraud detection where the distribution of classes within the dataset is significantly skewed, leading statistical models to be biased toward the dominant class. …”
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Spatio-temporal Variation of Meteorological Influence on PM2.5 and PM10 over Major Urban Cities of Bangladesh by Nafisa Islam, Tarik Reza Toha, Mohammad Maksimul Islam, Tanvir Ahmed

“…Abstract A detrended seasonal analysis on a 6-year (2013–2018) dataset of daily Particulate Matter (PM) concentration and meteorological parameters is performed to understand the spatio-temporal variation of PM and the seasonal influence of meteorological factors on PM pollution over 6 major urban cities of Bangladesh. …”
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The relationship between water production rate and resistivity in sand-based porous materials under two-phase fluid flow and its application by Weibiao Xie, Weibiao Xie, Qiuli Yin, Qiuli Yin, Xueping Dai, Xueping Dai, Yang Fan, Pan Zhang, Pan Zhang

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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

“…We compared their performance using a standardized baseline dataset and their responses to various parameter combinations. …”
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Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…When inpainting images with missing regions ranging from 50% to 60%, the proposed method achieves improvements of 0.02 dB (0.22 dB) and 0.001 (0.003) in PSNR and SSIM, on the CelebA-HQ (Places2) dataset, respectively.…”
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Optimizing Pile Bearing Capacity Prediction Using Specific Random Forest Models Optimized by Meta-Heuristic Algorithms for Enhanced Geomechanically Applications by Nengyuan Chen

“…Remarkably, the RFSO model exhibits exceptional performance, achieving an R2 value of 0.998 for the entire dataset while boasting the lowest RMSE of 109.43. …”
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