A Streaming Algorithm for Online Estimation of Temporal and Spatial Extent of Delays by Kittipong Hiriotappa, Suttipong Thajchayapong, Pimwadee Chaovalit, Suporn Pongnumkul

“…First, the proposed algorithm uses streaming input from individual sensors to detect a deviation from normal traffic patterns, referred to as anomalies, which is used as an early indication of delay occurrence. …”
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Feasibility of estimating the percentage of desert pavement using Tasseled Cap Transformation indices extracted from Landsat 8 images by farzaneh Fotouhi Firoozabad, Atefeh jebali

“…The principal component analysis algorithm in the factor analysis method detected the selected indicators of Greenness and Brightness by analyzing the input data output. Greenness and brightness variables were considered independent variables. …”
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A novel approach to retrieving the surface soil freeze/thaw state in the Qinghai-Tibetan Plateau using the seasonality of CYGNSS time series by Qi Liu, Shuangcheng Zhang, Zhongmin Ma, Xin Zhou, Tao Wang

“…The SHapley Additive exPlanations (SHAP) model was integrated into the STL-LSTM framework to quantitatively evaluate the contributions of input features to F/T retrieval, revealing that time features contributes the most to retrieval results, followed by surface reflectivity. …”
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Optimal Selection of the Reference Potential Probe Point in DCPD Real-Time Monitoring of Crack Growth Rate by He Xue, Siyu Gou, Chenqiang Ni, Liang Zhang, Shuai Wang, Youjun Zhao

“…Quantitatively monitor the crack growth rate of material stress corrosion cracking (SCC) in an autoclave that simulates a high-temperature and high-pressure water environment, and the direct current potential drop (DCPD) method is the main method. …”
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Postfailure Characterization of Shallow Landslides Using the Material Point Method by Thanh Son Nguyen, Kuo-Hsin Yang, Chia-Chun Ho, Feng-Chi Huang

“…The deposition profile of the slopes was significantly influenced by all input parameters. Among the aforementioned parameters, soil cohesion, location of the groundwater table, and saturated soil permeability most greatly affected runout distance in the sensitivity assessment. …”
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Smartphone-Based Pupillometry Using Machine Learning for the Diagnosis of Sports-Related Concussion by Anthony J. Maxin, Bridget M. Whelan, Michael R. Levitt, Lynn B. McGrath, Kimberly G. Harmon

“…<b>Background:</b> Quantitative pupillometry has been proposed as an objective means to diagnose acute sports-related concussion (SRC). …”
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Pattern-reversal visual evoked potentials in prosthetic vision and simulated visual reduction by Sandra R Montezuma, Yingchen He, Jonathon Toft-Nielsen, Gordon Legge

“…Objective To quantitatively evaluate visual evoked potentials (VEPs) in prosthetic vision and simulated visual reduction.Methods and analysis Four blind patients implanted with the Argus II retinal prosthesis and seven sighted controls participated. …”
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Skeletal Muscle Ultrasound Radiomics and Machine Learning for the Earlier Detection of Type 2 Diabetes Mellitus by Sameed Khan, Chad L. Klochko, Sydney Cooper, Brendan Franz, Lauren Wolf, Adam Alessio, Steven B. Soliman

“…Background: Studies have demonstrated that a qualitatively and quantitatively assessed hyperechoic deltoid muscle on ultrasound (US) was accurate for the earlier detection of type 2 diabetes (T2D). …”
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Increasing neural network robustness improves match to macaque V1 eigenspectrum, spatial frequency preference and predictivity. by Nathan C L Kong, Eshed Margalit, Justin L Gardner, Anthony M Norcia

“…Furthermore, robust models were quantitatively better models of V1 than non-robust models. …”
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Decoupled level and flow rate control of a two-tank system in beverage production: A comparative analysis of Fuzzy-PID and GA-PID for minimum time operation. by Tamiru Demelash Kassie, Mebratu Sintie Geremew, Kassahun Ashagrie Chanie

“…In most process control industries, each process requires multiple control variables. Here two input two output (TITO) systems are considered highly interacting multivariable control systems. …”
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Navigating ethical minefields: a multi-stakeholder approach to assessing interconnected risks in generative AI using grey DEMATEL by Sridhar Jonnala, Sridhar Jonnala, Nisha Mary Thomas, Nisha Mary Thomas, Sarthak Mishra

“…Through a comprehensive literature review and expert validation across three key stakeholder groups (AI developers, end users, and policymakers), we identified and analyzed 14 critical ethical challenges across the input, training, and output modules, including both traditional and emerging risks, such as deepfakes, intellectual property rights, data transparency, and algorithmic bias. …”
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Using an Explainable Machine Learning Approach to Produce High‐Resolution Hourly Precipitation Estimates for a Typical Data‐Deficiency Basin by Yi Lyu, Bin Yong

“…Additionally, an explainable Artificial Intelligence (AI) model was employed to quantitatively assess the contributions of input variables to the final precipitation estimates. …”
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Feature Engineering to Embed Process Knowledge: Analyzing the Energy Efficiency of Electric Arc Furnace Steelmaking by Quantum Zhuo, Mansour N. Al-Harbi, Petrus C. Pistorius

“…The implementation of engineered features—the slag volume and total carbon input—in an MLR model resulted in coefficients that were closer to expectations, but did not improve prediction accuracy. …”
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Pengembangan Panduan Solution Focused Group Therapy untuk Meningkatkan Kontrol Diri Terhadap Alkohol by Veronica Shania Christy Wuisang, Rian Rokhmad Hidayat, Ulya Makhmudah

“…Product test data analysis techniques were carried out quantitatively (inter-rater agreement model) and qualitatively (make product improvements following input and advice from experts). …”
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Entropy-Optimized Dynamic Text Segmentation and RAG-Enhanced LLMs for Construction Engineering Knowledge Base by Haiyuan Wang, Deli Zhang, Jianmin Li, Zelong Feng, Feng Zhang

“…This study employs an EDTS method to ensure information clarity and predictability within limited chunk lengths, followed by selecting 10 relevant chunks to form prompts for input into LLMs, thereby enabling efficient retrieval of vertical domain knowledge. …”
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Correlation and distinction between stochastic gene transcription models with and without polymerase dynamics by Chunjuan Zhu, Liang Chen, Zhishan Qiu, Jiaxin Chen, Feng Jiao, Jianshe Yu

“…The effective models also revealed that PD introduced quantitatively distinct kurtosis values and dynamics of mRNA distribution. …”
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Analyzing the Economic Performance of a TLS-Based Structural Safety Diagnosis Process by Taewan Kim, Kyungsoo Wee, Namhyuk Ham, Jae-jun Kim

“…The analysis of three real-world projects revealed that the TLS-based 3D scanning reverse modeling method reduces total project costs—including survey duration, labor input, as well as service and waiting costs—by about 80–89% compared to the visual inspection method. …”
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Dose Reduction in Scintigraphic Imaging Through Enhanced Convolutional Autoencoder-Based Denoising by Nikolaos Bouzianis, Ioannis Stathopoulos, Pipitsa Valsamaki, Efthymia Rapti, Ekaterini Trikopani, Vasiliki Apostolidou, Athanasia Kotini, Athanasios Zissimopoulos, Adam Adamopoulos, Efstratios Karavasilis

“…The ECAE architecture integrates multiscale feature extraction, channel attention mechanisms, and efficient residual blocks to reconstruct high-quality images from low-dose inputs. The model was trained and validated using quantitative metrics—Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM)—alongside qualitative assessments by nuclear medicine experts. …”
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The Neural Mechanisms of Visual and Vestibular Interaction in Self-Motion Perception by Jing Liu, Fu Zeng

“…We first outline the individual contributions of visual and vestibular cues and then introduce Bayesian inference as a normative framework for the quantitative modeling of multisensory integration. We also discuss multisensory recalibration as a critical mechanism in resolving conflicts between sensory inputs and maintaining perceptual stability. …”
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Electrical Resistivity Tomography Methods and Technical Research for Hydrate-Based Carbon Sequestration by Zitian Lin, Qia Wang, Shufan Li, Xingru Li, Jiajie Ye, Yidi Zhang, Haoning Ye, Yangmin Kuang, Yanpeng Zheng

“…., back-projection) to quantitatively analyze ERT imaging accuracy. The experiments used boundary voltage as the input and internal conductivity distribution as the output, employing the relative image error (RIE) and image correlation coefficient (ICC) to evaluate algorithmic performance. …”
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