Constrained total least squares localization using angle of arrival and time difference of arrival measurements in the presence of synchronization clock bias and sensor position er... by Ruirui Liu, Ding Wang, Jiexin Yin, Ying Wu

“…In addition, the first-order error analysis illustrates that the proposed method can achieve the Cramér–Rao lower bound under moderate Gaussian noises by a mathematic derivation. …”
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Fully decoupled SAV Fourier-spectral scheme for the Cahn–Hilliard–Hele–Shaw system by Linhui Zhang, Hongen Jia, Hongbin Wang

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SPATIALLY INFORMED INSIGHTS: MODELING PERCENTAGE POVERTY IN EAST JAVA PROVINCE USING SEM WITH SPATIAL WEIGHT VARIATIONS by Ashabul Akbar Maulana, Achmad Fauzan

“…Diverse weighting schemes are applied based on both distance (1) and contiguity (2). The optimal predictive model utilized is the Spatial Error Model (SEM) incorporating a Distance Band Weighing (DBW) mechanism with a designated maximum distance ( ) of 75000 meters. …”
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A novel comprehensive metric balancing imaging dose and setup accuracy in image-guided radiotherapy: concept proposal and clinical validation by Jiang Liu, Xinhui Fu, Xinhui Fu, Zhiyao Luo, Chuou Yin, Qiao Li, Xigang Fan, Tian Li, Chen Lin, Shouping Xu, Yibao Zhang, Yibao Zhang

“…The consistency between the online and offline results was used as a surrogate of the missing ground-truth of registration accuracy, which was usually developed by introducing ‘known’ setup errors and rescan the phantoms, yet is ethnically not applicable to real patients. …”
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Optimal Design of Single-Cell Experiments within Temporally Fluctuating Environments by Zachary R. Fox, Gregor Neuert, Brian Munsky

“…We verify this FSP-FIM analysis and use it to optimize the number of cells that should be quantified at particular times to learn as much as possible about the model parameters. …”
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AI-powered smart emergency services support for 9-1-1 call handlers using textual features and SVM model for digital health optimization by Afraa Attiah, Manal Kalkatawi

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Data Clustering Using by Chaotic SSPCO Algorithm by OICC Press Authors

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Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran by HAJAR KAZEMI, KOUROS YAZDJERDI, ABDOLMAJID ASADI, MOHAMMAD REZA MOZAFARI

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Monthly economic scheduling analysis of virtual power plant with electric vehicles: Analyzing from single-objective to tri-objective perspectives by Shaofan Li, Huaichun Zhou, Guanfeng Du, Shengxian Cao, Gong Wang, Jie Duan

“…The research also explores four scheduling strategies, progressing from single-objective optimization to multi-objective optimization. The single-objective to tri-objective perspectives method is utilized to analyze the interactions between objectives, transitioning from a simplified single-objective analysis to a more complex tri-objective approach. …”
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Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations by Xiaozhi Lu, Farag M. A. Altalbawy, Tarak Vora, R. Manjunatha, Debasish Shit, Shirin Shomurotova, Akshay Kumar, Atreyi Pramanik, Ajay Sharma, Raed H. C. Alfilh, Samim Sherzod, Mohammad Mahtab Alam

“…Model performance was evaluated using k-fold cross-validation, with metrics including R², mean squared error and average absolute relative error percentage. …”
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Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data by Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya, R. Manjunatha, Debasish Shit, M. Nirmala, Ajay Sharma, Sarbeswara Hota, Shirin Shomurotova, Fadhil Faez Sead, Hojjat Abbasi, Mohammad Mahtab Alam

“…Among these, SADE demonstrated superior performance based on metrics such as average absolute relative error (AARE%), R2, and mean squared error (MSE). …”
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An Integrative Framework for Healthcare Recommendation Systems: Leveraging the Linear Discriminant Wolf–Convolutional Neural Network (LDW-CNN) Model by Vedna Sharma, Surender Singh Samant, Tej Singh, Gusztáv Fekete

“…<b>Methods</b>: The LDW-CNN model incorporates the grey wolf optimizer with linear discriminant analysis to enhance prediction accuracy. …”
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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…The diversity and convergence of the algorithm&#x2019;s solutions outperform other algorithms, ensuring the optimization requirements of the sentiment analysis architecture. …”
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Design and Analysis of Modular Neural Network-Based PI-Controller Ensemble With Karush-Kuhn-Tucker Conditions for Grid-Connected Photovoltaic Systems Under Ground Fault Conditions by Burla Sridhar, Soorya Prakash Shukla, Ritesh Dash, Arpan Dwivedi, G. C. Biswal, Nivedita Singh, Mukesh Kumar Chandrakar, Kalvakurthi Jyotheeswara Reddy, Bhabasis Mohapatra, Binod Kumar Sahu

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Adaptive Finite Element Method for Optimal Control Problem Governed by Linear Quasiparabolic Integrodifferential Equations by Wanfang Shen, Hua Su

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Optimization model of electricity metering management based on MOPSO by Sheng Li, Xiaodan Zhou

“…In the case analysis, the MOPSO algorithm achieved mean absolute error, absolute percentage error, root mean square error, and mean absolute percentage error values of 8.61%, 3.08%, 0.2158, and 0.1295, respectively. …”
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Optimal Kalman Filtering for a Class of State Delay Systems with Randomly Multiple Sensor Delays by Dongyan Chen, Long Xu

“…Based on the innovative analysis approach and recursive projection formula, a new linear optimal filter is designed such that, for the state delay and randomly multiple sensor delays with different delay rates, the filtering error is minimized in the sense of mean square and the filter gain is designed by solving the recursive matrix equation. …”
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Data-Driven Energy Consumption Analysis and Prediction of Real-World Electric Vehicles at Low Temperatures: A Case Study Under Dynamic Driving Cycles by Yifei Zhao, Hang Liu, Jinsong Li, Hongli Liu, Bin Li

“…Accurate analysis and prediction of low-temperature energy consumption in pure electric vehicles can provide a reliable reference for energy optimization strategies, thereby alleviating range anxiety. …”
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Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli by Robert Schuetz, Lars Kuepfer, Uwe Sauer

“…By explicitly considering experimental errors and in silico alternate optima in flux balance analysis, we systematically evaluate the capacity of 11 objective functions combined with eight adjustable constraints to predict 13C‐determined in vivo fluxes in Escherichia coli under six environmental conditions. …”
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Deepfakes in Visual Art: Differentiating AI-Generated Art From Human Art Using Convolutional Neural Networks (CNN) by Ngonidzashe Tinago, Silas Formunyuy Verkijika, Kelibone Eva Mamabolo

“…This study explores the use of Convolutional Neural Networks (CNNs) to differentiate AI-generated art from human-created art. By employing Error Level Analysis (ELA), an image forensic technique for detecting fake and real images, this study develops a robust CNN classifier. …”
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