Reliability optimization methods: A systematic literature review by Singla Shakuntla, Mangla Diksha, Kumar Malik Ajender, Muhammad Modibbo Umar

“…Additionally, which variables influence the primary reliability metrics in their work and how? …”
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Stochastic Analysis of Nonlinear Vehicle-Track Coupled Dynamic System and Its Application in Vehicle Operation Safety Evaluation by Fu-Shan Liu, Zhi-Ping Zeng, Wei-Dong Wang, Abdulmumin Ahmed Shuaibu

“…The nonlinear coupled vehicle-track dynamic system is used to accurately describe the wheel-rail contact state. The stochastic function-spectral representation is used to simulate the random track irregularity in the time domain for the first time; consequently, the frequency components in the irregularity are preserved and random variables are reduced. …”
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Statistical and reliability analysis of communication disability severity in Saudi Arabia using novel probability distribution by Laila A. AL-Essa, Mohammed M. Ali Al-Shamiri, Mohammed M. A. Almazah, Fathi M. Hamdoon

“…The dataset, sourced from Disability Statistics 2023, exhibits significant variability, requiring a flexible probabilistic framework. …”
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Multifaceted applications of dye-saturated biochar: Agronomic amelioration, thermochemical valorization, and catalytic efficacy in advanced environmental remediation paradigms by Sandra Ramachandran, Anshuman Gupta, Neelaambhigai Mayilswamy, Amrita Nighojkar, Balasubramanian Kandasubramanian

“…The review identifies key limitations, such as feedstock variability, competing ions in wastewater, and energy-intensive production processes, and proposes strategies for optimizing biochar synthesis and functionalization. …”
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A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry) by Sajad Amirian, Maghsoud Amiri, Mohammad Taghi Taghavifard

“…The mathematical model developed in this research is of mixed integer linear programming type, which is implemented in GAMS software to solve it and find Pareto optimal solutions.Findings: The accuracy of the overall performance of the proposed model has been evaluated with four examples (based on the coefficients of the objective functions) from a case study in the aluminium industry. …”
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Assessing the Accuracy and Reliability of the Monitored Augmented Rehabilitation System for Measuring Shoulder and Elbow Range of Motion by Samuel T. Lauman, Lindsey J. Patton, Pauline Chen, Shreya Ravi, Stephen J. Kimatian, Sarah E. Rebstock

“…Accurate range of motion (ROM) assessment is essential for evaluating musculoskeletal function and guiding rehabilitation, particularly in pediatric populations. …”
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The Nebraska Nomogram for Autograft Planning (NNAP) a surgical planning tool for ipsilateral rotational autokeratoplasty by Collin Asheim, Ashok Puri, Helen Song, Brian Armstrong, Sam Navon, Ronald Krueger

“…A patient undergoing IRA with this software achieved successful graft placement, improved visual function, and no post-operative complication or rejection. …”
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The influence of fitness mobile apps on workout behavior intention among Chinese young adults. by Mengyu Li, Shujie Wang, Abdul Rahim Ahmed Soliman Darweesh

“…Three components of belief were examined: self-efficiency, perceived barriers, and perceived benefits. …”
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Optimization of stope dimensions using response surface method coupling a hybrid chaos-genetic algorithm by Ming lan, Hanwen Jia, Ju Ma

“…The interaction between variables within this framework was carefully considered when defining the objective functions for optimization. …”
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A systematic literature review on the role of artificial intelligence in citizen science by Germain Abdul-Rahman, Andrej Zwitter, Noman Haleem

“…However, challenges such as data quality variability, algorithmic opacity, and scalability constraints persist. …”
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Optimizing the Spectrum and Power Allocation for D2D-Enabled Communication Systems Using DC Programming by Guomei Gan, Yanhu Huang, Qiang Wang

“…Indeed, the devices can communicate with each other in a D2D system, and the base station (BS) can share the spectrum with D2D users, which can efficiently improve the spectrum and energy efficiency. …”
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SALM: A Unified Model for 2D and 3D Region of Interest Segmentation in Lung CT Scans Using Vision Transformers by Hadrien T. Gayap, Moulay A. Akhloufi

“…SALM leverages Vision Transformers, proposing an adaptation of positional encoding functions to effectively capture spatial relationships in both 2D slices and 3D volumes using a single, unified model. …”
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Double and integer multi-objective optimization of solar HDH desalination system with bubble column dehumidifier: An artificial neural network approach by Alireza Naeini, Alireza Jalali, Ehsan Houshfar

“…A neural network model is utilized to predict how the objective functions vary with six decision variables. The chosen optimization approach utilizes the genetic algorithm (GA) method. …”
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Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm by Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri

“…BBO has demonstrated good performance on various unconstrained and constrained benchmark functions. It has also been applied to real world optimization problems of type linear or nonlinear, nominal or ordinal as well as mixed variables. …”
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Application of a novel metaheuristic algorithm inspired by connected banking system in truss size and layout optimum design problems and optimization problems by Mehrdad Nemati, Yousef Zandi, Jamshid Sabouri

“…Besides the truss size/layout problems, CEC-BC-2017 test functions with ten dimensions and also three other constrained optimum design problems are also investigated to examine the performance of the CBSO in dealing with these standard unconstrained and constrained test functions. …”
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Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. by José Fernando García Molina, Lei Zheng, Metin Sertdemir, Dietmar J Dinter, Stefan Schönberg, Matthias Rädle

“…The use of texture descriptors provides more salient discriminative patterns than the functional information used. Furthermore, the system improves selection of information, efficiency and robustness of the classification. …”
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Work Systems Analysis of Emergency Nurse Patient Flow Management Using the Systems Engineering Initiative for Patient Safety Model: Applying Findings From a Grounded Theory Study by Ellen Benjamin, Karen K Giuliano

“…Other noteworthy findings include obscurity and variability across departments’ staff roles titles, functions, and norms; the degree of provider involvement in patient flow management decisions; and management’s enforcement of timing metrics. …”
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Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease by Francesca Lussana, Ettore Lanzarone, Giulia Villa, Alfonso Mastropietro, Anna Caroli, Elisa Scalco

“…The impact of segmentation variability on radiomic reproducibility was assessed through Intraclass Correlation Coefficients (ICC), and a preliminary correlation analysis with relevant clinical parameters, such as age and eGFR, was also performed. …”
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Predicting the Probability of Failure in Truss Structures Using Artificial Neural Networks by Mohammadreza Gholami, Seyed Ahmad Mobinipour, Mohammad Javad Haji Mazdarani, Seyed Rohollah Hoseini Vaez

“…The limitation of node displacement is considered as a limit state function. The data was split as 60% for training and 40% was used for testing and validation. …”
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Adaptive Fault-Tolerant Control of Mobile Robots with Fractional-Order Exponential Super-Twisting Sliding Mode by Hao Wu, Shuting Wang, Yuanlong Xie, Hu Li

“…To address the time-varying LIP faults and uncertainties, a novel barrier function (BF)-based gain is explored to assist the super-twisting law. …”
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