Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…Moreover, applications to real-world surveillance data on COVID-19 illustrate the practical advantages of the proposed method. These findings highlight the method’s robustness and efficiency in scenarios where data contamination from secondary or tertiary infections is common, showing its potential value for early outbreak detection and rapid epidemiological response.…”
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Application of a Needle Trap Sampler Containing Hydroxyl Fullerene Nanoparticles for Benzene Sampling in Air by Saleh Qahri Saremi, Nabiollah Mansouri, Mahmoud Heidari, Marzieh Shekarriz, Homayon Ahmad Panahi

“…Finally, the efficiency of the developed method was evaluated in a real-world environment and compared with the NIOSH 1501 method. …”
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European strategies in the screening of biliary atresia: a scoping review by Barbara E Wildhaber, Ana Maria Calinescu

“…Serum bilirubin measurement is another widely deliberated method, particularly in the UK, where it has been shown to be sensitive and specific for BA detection. …”
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Enhancing classification of active and non-active lesions in multiple sclerosis: machine learning models and feature selection techniques by Atefeh Rostami, Mostafa Robatjazi, Amir Dareyni, Ali Ramezan Ghorbani, Omid Ganji, Mahdiye Siyami, Amir Reza Raoofi

“…Sixteen ML and one sequential DL models were created using the 5-fold cross-validation method and each model with its special optimized parameters trained using the training-validation datasets. …”
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Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia by Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan

“…Proper management of the condition depends on early detection of preeclampsia to make a correct prognosis. …”
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Utilization of Neural Network in the Diagnosis of Pes Planus and Pes Cavus with a Smartphone Camera by Samir Ghandour MD, Anton Lebedev BS, Wei Shao Tung BS, Konstantin Semianov BS, Artem Semyanov MS, Daniel Guss MD, MBA, Gregory R. Waryasz MD, John Y. Kwon MD, Christopher W. DiGiovanni MD, Soheil Ashkani-Esfahani MD, Lorena Bejarano-Pineda MD

“…Methods: An algorithm that integrated a deep learning, convolutional neural network (CNN) into a smartphone camera was utilized to detect Pes planus and Pes cavus deformities. …”
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Research on Spatiotemporal Evolution Characteristics and Driving Mechanisms of Agricultural Drought in the Yellow River Basin by JU Yongsheng, WEI Yong, HU Anlong, LI Huiyong, GUO Aijun

“…Therefore, this paper took the Yellow River Basin in arid regions, semi-arid regions, and the transitional zone between humid and semi-humid regions as an example and used trend test, run length theory, and standard soil index (SSI) methods to reveal the spatiotemporal distribution characteristics and evolution laws of multi-scale agricultural drought. 17 extreme climate indexes and analysis of variance (ANOVA) methods were used to quantitatively reveal the impact of droughts. …”
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Stability Evaluation of Deformation (Denudation) of Yuanjue Rock Cave Roof Based on Multisource Monitoring by Zhigang Tao, Senlin Luo, Di Wu, Yafei Qiao, Gang Zhao, Zhigang Meng

“…However, the research on detection and monitoring methods based on the parametric evolution system remains incomplete. …”
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A Deep Learning Framework for Chronic Kidney Disease stage classification by Gayathri Hegde M, P Deepa Shenoy, Venugopal KR, Arvind Canchi

“…Chronic Kidney Disease (CKD) has become more prevalent, leading to a gradual decline in kidney function and, ultimately, in renal failure. Timely detection of the CKD stage is essential for enhancing healthcare services and decreasing morbidity and mortality. …”
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An Algorithm for Estimating the Velocity of a Moving Target Based on Mellin Matched Filter by A. A. Monakov

“…However, the majority of them employ optimization procedures when searching for estimates of unknown parameters, which fact greatly complicates their implementation. …”
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A hybrid approach to advanced NER techniques for AI-driven water and agricultural resource management by Dong Yan, Ming Lei, Yingying Shi

“…By achieving high accuracy and scalability, our method enables timely and reliable extraction of critical information from agronomic reports and policy documents-supporting applications such as precision irrigation planning, early detection of crop diseases, and efficient allocation of water resources in data-scarce regions.…”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…A recent innovation, the mobile mapping system (MMS), is a versatile tool used to collect geospatial data efficiently, accurately, and quickly, with reduced time and costs compared to traditional survey methods. This system combines various technologies such as GNSS (global navigation satellite system), IMU (inertial measurement unit), LiDAR (light detection and ranging), and high-resolution cameras to map and create three-dimensional models of the surrounding environment. …”
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Improved PR Control Without Load Current Sensors and Phase-Locked Loops for APFs by Jianling Liao, Wei Yuan, Yankui Zhang, Jia Zou, Xu Zhang

“…The simulation and experimental results show that the proposed method has achieved a certain degree of optimization in terms of harmonic suppression effect, dynamic response performance, and system structure complexity.…”
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SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention by Xiyin Chen, Yonghua Shi, Junjie Pang

“…Crack segmentation is essential for structural health monitoring and infrastructure maintenance, playing a crucial role in early damage detection and safety risk reduction. Traditional methods, including digital image processing techniques have limitations in complex environments. …”
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Development and evaluation of customized software to automatically align macula and optic disc centered scanning laser ophthalmoscope fundus images by M. Elena Martinez-Perez, Franziska G. Rauscher, Pingping Zhao, Tobias Elze

“…When applying them together, the rate of at least one of the method succeeding was 99%. The methods are highly promising for applications under real-world clinical conditions and might help to facilitate disease detection and monitoring over time.…”
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Research on filter-based adversarial feature selection against evasion attacks by Qimeng HUANG, Miaomiao WU, Yun LI

“…With the rapid development and widespread application of machine learning technology, its security has attracted increasing attention, leading to a growing interest in adversarial machine learning.In adversarial scenarios, machine learning techniques are threatened by attacks that manipulate a small number of samples to induce misclassification, resulting in serious consequences in various domains such as spam detection, traffic signal recognition, and network intrusion detection.An evaluation criterion for filter-based adversarial feature selection was proposed, based on the minimum redundancy and maximum relevance (mRMR) method, while considering security metrics against evasion attacks.Additionally, a robust adversarial feature selection algorithm was introduced, named SDPOSS, which was based on the decomposition-based Pareto optimization for subset selection (DPOSS) algorithm.SDPOSS didn’t depend on subsequent models and effectively handles large-scale high-dimensional feature spaces.Experimental results demonstrate that as the number of decompositions increases, the runtime of SDPOSS decreases linearly, while achieving excellent classification performance.Moreover, SDPOSS exhibits strong robustness against evasion attacks, providing new insights for adversarial machine learning.…”
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Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…To address these challenges, this paper proposes a traffic flow statistical method based on YBOVDT(YOLO-World and BOT-SORT-Open Vocabulary Detection and Tracking)and SAM2.Specifically, in the method, this paper proposes a “Traffic Flow Data Processing and Analysis” module, aiming to optimize and supplement the five core functions required for traffic flow statistics tasks, thereby making the functions of the entire solution more comprehensive.In addition, this paper combines the latest open set object detection and tracking algorithms to enhance the recognition ability and tracking stability of traffic objects. …”
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Model Predictive Control Algorithm for Converter Based on a Convolutional Neural Network by Kun Shen, Mengyao Wu, Rongbin Chen

“…In the finite control set model predictive control (FCSMPC) algorithm for a converter based on a neural network, the optimal control variables computed by neural network controllers achieve decoupling between the optimal FCSMPC algorithm design and online computational burden. …”
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DEVELOPMENT OF A TECHNIQUE FOR THE MASS-SPECTROMETRIC DETERMINATION OF GONADOTROPIN-RELEASING HORMONE AND ITS ANALOGS FOR DOPING CONTROL by K. M. Shestakova, G. A. Dudko, M. A. Dikunets

“…Various parameters affecting sample preparation, LC separation, and MS/MS detection were investigated, and optimized conditions were identified. …”
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Exploring home-based reminder systems for daily routine support: usability, data insights, and future directions by Alyssia A. Sanchez, Joy Lai, Alexander Tighe, Alex Mihailidis

“…Data-driven techniques, including predictive modeling and anomaly detection, were applied to explore opportunities for optimizing reminder timing and identifying unusual usage patterns. …”
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