Optimizing P-Chart Performance Using a Percentage-Based Framework: Application to Nonconforming Items in the Manufacturing Sector by Zahid Khan, Aamir Saghir, Attila I. Katona, Zsolt T. Kosztyan

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Validation of an algorithm using inpatient electronic health records to determine the presence and severity of cirrhosis in patients with hepatocellular carcinoma in England: an ob... by Anya Burton, Amy Downing, Eva Morris, Jessica Shearer, Robert J Driver, Vinay Balachandrakumar, Tim Cross, Ian A Rowe

“…Objectives Outcomes in hepatocellular carcinoma (HCC) are determined by both cancer characteristics and liver disease severity. …”
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Development and validation of a spontaneous preterm birth risk prediction algorithm based on maternal bioinformatics: A single-center retrospective study by Yu Chen, Xinyan Shi, Zhiyi Wang, Lin Zhang

“…The model exhibited stable performance on both the training and validation sets, with AUC values of 0.93 and 0.87, respectively. …”
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A fast retrieval method for multilevel redundant data in grid resource business middle office based on improved decision tree algorithm by Wei Sun, Hui Liu, Yu Wang, Weihao Shi, Xiao Wang, Zhiwei Zou

“…To address this challenge, this study proposes a multi-level redundant data retrieval method using an improved decision tree algorithm for grid resource business center platforms. …”
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Digital-twin enabled evacuation to improve individual and community resilience of building occupants against indoor Fires: Framework and route-finding algorithm by Jonathan Koon Ngee Tan, Shuai Zhang, Adrian Wing-Keung Law, Sai Hung Cheung

“…Subsequently, a route-finding algorithm based on the established metrics was proposed to enable the FRDT to generate personalized evacuation routes optimized for both individual and community fire resilience, defined in terms of health damage and total evacuation time, respectively. …”
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Trip route optimization based on bus transit using genetic algorithm with different crossover techniques: a case study in Konya/Türkiye by Akylai Bolotbekova, Huseyin Hakli, Ayse Beskirli

“…According to the obtained visit order, the bus or buses that will provide the fastest transportation between both locations are presented. The route is determined with a genetic algorithm (GA), which is known as one of the most effective optimization algorithms. …”
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Optimal parameter extraction of equivalent circuits for single- and three- phase Power transformers based on arctic puffin algorithm accomplished with experimental verification by Amlak Abaza, Ragab A. El-Sehiemy, Mohamed Assaad Hamida, Raphael Chenouard, Ahmed Bayomyi

“…In that context, this work estimates the parameters of single- and three-phase power transformers by a new optimizer called Arctic Puffin Optimization Algorithm (APO). The algorithm is intended to improve estimation of transformer parameters with the goal of reducing the error incurred between the estimated and actual values of the parameters. …”
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Dynamic bandwidth allocation in time division multiplexed passive optical networks: a dual-standard analysis of ITU-T and IEEE standard algorithms by Kamran Ali Memon, Syed Saeed Jaffer, Muhammad Ali Qureshi, Khurram Karim Qureshi

“…In this case, a compelling dynamic bandwidth allocation (DBA) algorithm can provide contention-free access (fairness) to the end user for the upstream channel with high bandwidth efficiency, minimal upstream delays, and scalability. …”
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Implementation of a Flexible Real-Time Radar Architecture of Vital Signs Based on Cyclic Temporal Moment Algorithms Using SDR Technology by Fatima Sekak, Fouzia Elbahhar, Madjid Haddad

“…The results were compared to a reference system, a pulse oximeter, to validate the performances of the algorithm. The respiration and heartbeat rates were correctly estimated for all the subjects with both antennas.…”
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Repeatability and reproducibility of eight macular intra-retinal layer thicknesses determined by an automated segmentation algorithm using two SD-OCT instruments. by Xinting Liu, Meixiao Shen, Shenghai Huang, Lin Leng, Dexi Zhu, Fan Lu

“…<h4>Purpose</h4>To evaluate the repeatability, reproducibility, and agreement of thickness profile measurements of eight intra-retinal layers determined by an automated algorithm applied to optical coherence tomography (OCT) images from two different instruments.…”
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AI Services-Oriented Dynamic Computing Resource Scheduling Algorithm Based on Distributed Data Parallelism in Edge Computing Network of Smart Grid by Jing Zou, Peizhe Xin, Chang Wang, Heli Zhang, Lei Wei, Ying Wang

“…To this end, a mixed integer linear programming (MILP) model and a Deep Reinforcement Learning (DRL)-based algorithm are proposed. Simulation results show that the proposed DRL-based algorithm outperforms the benchmark in terms of profit of AI service provider, backlog of distributed model training tasks, running time and multi-objective optimization.…”
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Ghostly Encounters on Google by Samuel Collins

“…In so doing, spirit photography anticipates the challenges digitization, manipulation and algorithmically generated images raise to the indexical truth-value of the image. …”
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A patient-centric chest pain management approach utilizing a high sensitivity Troponin-I assay by Abby E. Roetger, Christopher D. McKinney, De B. Winter III, Charmaine Lewis, Kristopher Swiger, Claire M. Corbett, Gregory Hall, Adam David, Austin Gratton

“…Methods: A new pathway incorporating both hs-cTnI testing (Seimens Healthineers Atellica) and risk stratification tools was developed. …”
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FedDyH: A Multi-Policy with GA Optimization Framework for Dynamic Heterogeneous Federated Learning by Xuhua Zhao, Yongming Zheng, Jiaxiang Wan, Yehong Li, Donglin Zhu, Zhenyu Xu, Huijuan Lu

“…This enables the model to adaptively find the optimal hyperparameters in an ever-changing environment, thereby improving both adaptability and performance. Prior to this work, few studies have explored the use of optimization algorithms for hyperparameter tuning in federated learning. …”
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Evolutionary Cost Analysis and Computational Intelligence for Energy Efficiency in Internet of Things-Enabled Smart Cities: Multi-Sensor Data Fusion and Resilience to Link and Devi... by Khalid A. Darabkh, Muna Al-Akhras

“…By consolidating data from multiple SNs using fusion algorithms, our protocol reduces the volume of transmitted information, leading to significant energy savings. …”
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Development of compact mechanism for lithium-ion battery venting gas fires using Cantera ordinary differential equation neural network algorithm by Mengjie Li, Hao Hu, Li Lu, Huangwei Zhang

“…This integration allows for the optimization of a wide range of chemical reactions, improving both the precision and versatility of reaction mechanism development. …”
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Application of Machine Learning Algorithms in Nitrous Oxide (N₂O) Emission Estimation in Data-Sparse Agricultural Landscapes by Uttam Ghimire, Waqar Ashiq, Asim Biswas, Wanhong Yang, Prasad Daggupati

“…To understand if machine learning algorithms could be employed in agricultural landscapes to estimate N₂O emissions, multiple linear regression (MLR), random forest regression (RFR), support vector regression (SVR) and artificial neural network (ANN) algorithms are tested on an agricultural site in Ontario, Canada. …”
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Application of Real-Time Palm Imaging with Nelder–Mead Particle Swarm Optimization/Regression Algorithms for Non-Contact Blood Pressure Detection by Te-Jen Su, Ya-Chung Hung, Wei-Hong Lin, Wen-Rong Yang, Qian-Yi Zhuang, Yan-Xiang Fei, Shih-Ming Wang

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Extracting Knowledge From Scientific Texts on Patient-Derived Cancer Models Using Large Language Models: Algorithm Development and Validation Study by Jiarui Yao, Zinaida Perova, Tushar Mandloi, Elizabeth Lewis, Helen Parkinson, Guergana Savova

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A Hybrid Approach for Reachability Analysis of Complex Software Systems Using Fuzzy Adaptive Particle Swarm Optimization Algorithm and Rule Composition by Nahid Salimi, Seyfollah Soleimani, Vahid Rafe, Davood Khodadad

“…These results confirm that proposed hybrid algorithm significantly enhances reachability analysis in the systems modelled via Graph Transformation, improving both computational efficiency and scalability.…”
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