MobNas ensembled model for breast cancer prediction by Tariq Shahzad, Sheikh Muhammad Saqib, Tehseen Mazhar, Muhammad Iqbal, Ahmad Almogren, Yazeed Yasin Ghadi, Mamoon M. Saeed, Habib Hamam

“…From the findings of this research, it is evident that MobNAS can enhance diagnostic accuracy and reduce existing shortcomings in breast cancer detection.…”
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Optimization of IMU-based bending strain solving algorithm and full-scale experimental validation by Tong SHI, Xiaoben LIU, Lin ZHANG, Jun WANG, Rui LI, Ting Xie, Qingshan FENG, Qiyu HUANG

“…Results This study revealed that as pipeline bending strain increased, the errors between IMU detections and true bending strains grew. …”
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Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images: A comprehensive in- and out-of-distribution evaluation of YOLOv7 varian... by Mohammed Aliy Mohammed, Esla Timothy Anzaku, Peter Kenneth Ward, Bruno Levecke, Janarthanan Krishnamoorthy, Wesley De Neve, Sofie Van Hoecke

“…Additionally, we used the Toolkit for Identifying object Detection Errors (TIDE) and Gradient-weighted Class Activation Mapping (Grad-CAM) to perform a comprehensive analysis of the results.…”
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Personalized Contextual Information Delivery Using Road Sign Recognition by Byungjoon Kim, Yongduek Seo

“…While existing models focus primarily on text detection and extraction, they fail to incorporate user-specific contextual information, limiting their effectiveness in real-world scenarios. …”
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Deep Learning for Ore Haulage Monitoring: Vibrational Analysis Using a VGG16 Network by Artur Skoczylas, Pawel Stefaniak, Sergii Anufriiev, Wioletta Koperska

“…Automated detection of work cycles in underground ore haulage is crucial for optimizing operational efficiency and minimizing costs, yet existing methods often rely on manual logging or basic telematics, which can be inefficient and prone to errors. …”
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Decision tree for severity assessment of neurodegenerative diseases using possibility approach and gait dynamics by Preeti Khera, Ashok Kumar, Rajat Kapila

“…The proposed framework achieved a high coefficient of determination (R2 ≈ 0.90) and low error rates with stratified 10-fold cross-validation. …”
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Prediction of Winter Wheat Yield and Interpretable Accuracy Under Different Water and Nitrogen Treatments Based on CNNResNet-50 by Donglin Wang, Yuhan Cheng, Longfei Shi, Huiqing Yin, Guangguang Yang, Shaobo Liu, Qinge Dong, Jiankun Ge

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A SERS Sensor Prepared via Electrostatic Self-Assembly of Ta₄C₃@AgNP Nanocomposites for Detection of Ziram by Kai Hua, Liang Li, Pei Liang

“…Application detection indicates that this sensor has good sensitivity for the pesticide Ziram, and the minimum detection limit was 10⁻⁶ M, which exceeded national standard requirements. …”
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Point-of-care diagnostics and resistance phenotyping to combat ash dieback by Pierluigi Bonello, Anna O. Conrad, Dušan Sadiković, Mateusz Liziniewicz, Michelle Cleary

“…We also show that the same approach can be used to identify disease-resistant European ash accessions based on data from two independent, multiyear clonal trials, with a testing error rate of 0.155. These results confirm that NIR spectroscopy combined with machine learning is sensitive enough for early disease detection and resistance screening in this system. …”
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Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchmark on Large Real-World Datasets by Pedro Martins, Filipe Cardoso, Paulo Váz, José Silva, Maryam Abbasi

“…We benchmark each tool on dataset sizes ranging from 1 million to 100 million records, measuring execution time, memory usage, error detection accuracy, and scalability under increasing data volumes. …”
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A vision model for automated frozen tuna processing by Richeng Wang, Xiongsheng Zheng, Yan Chen

“…These findings highlight TunaVision’s effectiveness in segmenting, detecting, and estimating poses of frozen tuna, offering valuable insights for the development of automated processing systems.…”
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Experimental Study on Microseismic Monitoring of Depleted Reservoir-Type Underground Gas Storage Facility in the Jidong Oilfield, North China by Yuanjian Zhou, Cong Li, Hao Zhang, Guangliang Gao, Dongsheng Sun, Bangchen Wu, Chaofeng Li, Nan Li, Yu Yang, Lei Li

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Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness by Shuiping Li, Yueyue Chen, Xiaobo Zhang, Junbo Wang, Xuanxiang Gao, Yunhong Jiang, Zhaojun Ban, Cunkun Chen

“…The coefficient of determination (R2) and root mean square error (RMSE) of Partial Least Squares (PLS) models are contrasted using various inputs. …”
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Quantitative determination of blended proportions in tobacco formulations using near-infrared spectroscopy and transfer learning by Qinlin Xiao, Qinlin Xiao, Ruifang Gu, Li Li, Jing Wen, Xixiang Zhang, Yi Shen, Yang Liu, Lan Xiao, Qinqin Tang, Jun Yang, Yong He, Juan Yang

“…Accurate detection of blending proportions in tobacco formulations is crucial for ensuring the quality consistency and flavor stability of cigarette products. …”
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Evaluation of the Effectiveness of the National Vision Screening Program in School-Age Children by Mehtap Savar Çağlayan, Betül Dertsiz Kozan

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Impact of Parameters and Tree Stand Features on Accuracy of Watershed-Based Individual Tree Crown Detection Method Using ALS Data in Coniferous Forests from North-Eastern Poland by Marcin Kozniewski, Łukasz Kolendo, Szymon Chmur, Marek Ksepko

“…Consequently, adjusting the pixel size of a canopy height model in the context of tree stand features is necessary to minimize error. Additionally, our findings show that there is a need to carefully assess the criterion of membership of a detected tree crown in a circular sample plot, which we based on the point cloud.…”
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Accuracy of Rhythm Diagnostic Systems’ MultiSense^® in Detection of Arterial Oxygen Saturation and Respiratory Rate During Hypoxia in Humans: Effects of Skin Color and De... by Charles Evrard, Amina El Attaoui, Cristina Pistea, Irina Enache, Mark Marriott, Louis Mayaud, Anne Charloux, Bernard Geny

“…The effectiveness of the findings suggests that this wearable device is a valuable tool for the continuous monitoring of SpO₂ and RRs, potentially enhancing patient safety and optimizing hospital resource allocation. …”
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An Artificial Intelligence Solution for Automated Dental Inspection and Charting by M.A. Moufti, M. Abu Talib, S. Al Mokdad, A. Alhouria, M. Alsaffarini, N. Almahmeed, S. Eldessouky, W. Kharoufah, Q. Nasir

“…Background: Visual inspection and documentation (charting) of findings are critical components in dental practice. …”
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Machine learning frameworks to accurately estimate the adsorption of organic materials onto resin and biochar by Raouf Hassan, Mohammad Reza Kazemi

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Positioning of Lightning Electromagnetic Radiation Sources With Satellite Constellations: Simulation and Preliminary Validation by Xiao Li, Zongxiang Li, Xiaoqiang Li, Xiong Zhang, Yunfen Chang, Kai Zhang, Yongli Wei, Baofeng Cao, Peng Li

“…Furthermore, we verified the detecting and positioning capabilities based on the data from transmitting‐and‐receiving tests utilizing a terrestrial LERS simulator and the on‐orbit satellite SY‐15, and the positioning error is less 3 km under a certain virtual multi‐satellite constellation when accounting for ionospheric delay.…”
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