Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter by Amar Rezoug, Jamshed Iqbal, Abdelkrim Nemra

“…The RBFNN is integrated to address the nonlinearities and uncertainties, while a dual block mitigates the coupling effects. …”
Get full text

A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

“…Subsequently, a deep neural network (DNN) is trained as a FEM surrogate model to quickly predict the structural strain response by considering material uncertainties. Ultimately, the range of the optimal load level and its confidence interval are determined via statistical analysis of the load estimations under different random fields. …”
Get full text

Active Suspension Based on a Motor-Driving Compacted Double-Gas-Chamber Hydro-Pneumatic Strut by Ruihong Li, Bing Ma, Fan Yang, Dezhao Lin, Weiqiang Zhang

“…However, the nonlinearities, hysteresis, and uncertainties in the adjusting process caused by the gas property and the valve characteristic will increase the difficulty of controller design. …”
Get full text

World Climate Research Programme lighthouse activity: an assessment of major research gaps in solar radiation modification research by Jim M. Haywood, Olivier Boucher, Chris Lennard, Trude Storelvmo, Simone Tilmes, Daniele Visioni

“…While future scenarios of climate change frequently include extensive use of terrestrial and marine carbon dioxide removal in the second part of the 21st century, it is unproven that these techniques can be scaled-up to reach the scale required to significantly reduce concentrations of atmospheric carbon dioxide and significant uncertainties and detrimental side-effects exist. These issues have led to increasing interest in so-called “Solar Radiation Modification” whereby the global mean temperature of the Earth is reduced by either blocking a small fraction of sunlight from reaching it or by increasing the Earth’s albedo to reflect a small proportion of incident sunlight back out to space. …”
Get full text

Extraction approaches for the isolation of some POPs from lipid-based environmental and food matrices: A review by Carriera Fabiana, Di Fiore Cristina, Iannone Alessia, Maio Monica, Avino Pasquale

“…Additionally, it was found that the same technique could extract different contaminants from various matrices, resulting in a loss of selectivity of the method used. The uncertainties suggested in this review consider (i) the actual extraction of POPs with polar solvents (e.g., acetonitrile) from lipid component, for which POPs may have higher retention; (ii) the use of laborious, long cleaning steps (e.g., polar and non-polar adsorbent phases) could affect recoveries; (iii) the absence of studies investigating the concrete and constant distribution of POPs between extractive solvent/lipid component and solvent/adsorbent phase. …”
Get full text

Nonlinear Adaptive Neural Control of Power Converter‐Driven DC Motor System: Design and Experimental Validation by Tousif Khan Nizami, Sasank Das Gangula, Ramanjaneya Reddy Udumula, Arghya Chakravarty, Fareed Ahmad, Alireza Hosseinpour

“…Such a unification of online neural network‐based estimation and adaptive control, results in effective regulation of the output across a wide load torque uncertainties, besides yielding a promising transient and steady‐state performance. …”
Get full text

A 20 m spatial resolution peatland extent map of Alaska by Mark J. Lara, Roger Michaelides, Duncan Anderson, Wenqu Chen, Emma C. Hall, Caroline Ludden, Aiden I. G. Schore, Umakant Mishra, Sarah N. Scott

“…However, our best remotely sensed products describing the regional-scale distribution of peatland extents are constrained to 1 km2 pixels, often representing notable sub-pixel heterogeneity and local-scale uncertainties. Here we develop a new 20 m spatial resolution wall-to-wall ~1.5 million km2 peatland map of Alaska, using peat cores, ground observations, and sub-meter resolution image interpretation. …”
Get full text

Integrating Irrigation Decision Support Systems for Efficient Water Use: A Case Study on Mediterranean Agriculture by Raffaella Zucaro, Silvia Baralla, Andrea Arzeni, Antonella Bodini, Roberta Ciaravino, Nadia Salato, Pietro Chinnici, Nunzia Gabriella Fasolino, Emilia Pellegrini, Emanuela Sarzotti, Elisa Ascione, Antonio Coppola, Myriam Ruberto

“…Within this context, Irrigation Scheduling Decision Support Systems (IS-DSS) could contribute to the achievement of these objectives, although there are still obstacles to their adoption due to uncertainties regarding their potential benefits. This paper aims to derive a pricing model that reflects actual water use through the adoption of an IS-DSS. …”
Get full text

Development of a fixed-order $$H_{\infty }$$ controller for a robust P&O-MPPT strategy to control poly-crystalline solar PV energy systems by Moussa Sedraoui, Mohcene Bechouat, Ramazan Ayaz, Yahya Z. Alharthi, Abdelhalim Borni, Layachi Zaghba, Salah K. ElSayed, Yayehyirad Ayalew Awoke, Sherif S. M. Ghoneim

“…The optimal solution provides the controller parameters, ensuring good reference tracking dynamics, noise suppression, and attenuation of model uncertainties. Performance assessments at STC compare the standard and robust P&O-MPPT strategies, demonstrating the proposed method’s superiority in performance and robustness, especially under sudden meteorological changes and varying loads. …”
Get full text

Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approach by Reza Rasinojehdehi, Seyyed Najafi

“…Investing in renewable power plant projects in Iran necessitates addressing various risks and uncertainties. This paper introduces an innovative approach to assessing the risks associated with solar power plants, utilizing an integrated method that combines Data Envelopment Analysis (DEA) and Support Vector Machine (SVM). …”
Get full text

A multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settings by Saeed Muhammad, Basit Ali Muhammed, Rahman Atiqe Ur, Yasir Hayat Malik Muhammad

“…The suggested algorithm’s robustness is confirmed by comparison to evaluate its dependability and adaptability for modeling uncertainties related to the supplier selection problem.…”
Get full text

Comparison and Analysis of Algorithms for Coordinated EV Charging to Reduce Power Grid Impact by Cesar Diaz-Londono, Paolo Maffezzoni, Luca Daniel, Giambattista Gruosso

“…Both coordinators account for uncertainties in EV arrival time and state of charge, as well as inflexible demands on transformers. …”
Get full text

Resilient Space Operations With Digital Twin for Solar PV and Storage by Shayan Ebrahimi, Mohammad Seyedi, S. M. Safayet Ullah, Farzad Ferdowsi

“…This holistic approach validates the DT’s fidelity and underscores its potential to revolutionize system operation, safeguard against uncertainties, and expedite response strategies during unexpected contingencies. …”
Get full text

Comparison of aprepitant versus ondansetron for prevention of postoperative nausea and vomiting: A systematic review and meta-analysis with trial sequential analysis by Madhusudan P. Singh, Meenalotchini P. Gurunthalingam, Ayushee Gupta, Juhi Singh

“…While aprepitant, a neurokinin-1 receptor antagonist, is recognised as highly effective for PONV prevention, uncertainties remain regarding its effectiveness. Methods: This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. …”
Get full text

NNLO PDFs driven by top-quark data by S. Alekhin, M. V. Garzelli, S.-O. Moch, O. Zenaiev

“…The gluon PDF at large x and the top-quark mass value derived from these data are well compatible with the previous ABMP16 results, but with significantly smaller uncertainties, reduced by up to a factor of two. At NNLO in QCD we obtain for the strong coupling the value $$\alpha _s^{(n_f=5)}(M_Z)= 0.1150 \pm 0.0009$$ α s ( n f = 5 ) ( M Z ) = 0.1150 ± 0.0009 and for the top-quark mass in the $${\overline{\text{ MS }}}$$ MS ¯ -scheme $$m_t(m_t) = 160.6 \pm 0.6$$ m t ( m t ) = 160.6 ± 0.6  GeV, corresponding to $$m_t^\textrm{pole} = 170.2 \pm 0.7$$ m t pole = 170.2 ± 0.7  GeV in the on-shell scheme. …”
Get full text

Pattern-reversal visual evoked potentials in prosthetic vision and simulated visual reduction by Sandra R Montezuma, Yingchen He, Jonathon Toft-Nielsen, Gordon Legge

“…Pattern-reversal VEP offers valuable insights for objectively evaluating artificial vision therapy systems (AVTSs) when selecting, fitting and training implant users, but the uncertainties in the exact timing and location of electrode stimulation must be considered when interpreting the results.…”
Get full text

A systematic literature review of aggregate production planning (APP): Social and economic perspectives by Wan Yee Leong, Kuan Yew Wong, Ali Anjomshoae

“…Findings: The outcome shows that most of the previous studies applied mixed-integer linear programming (MILP) methods in developing the APP models while stochastic and fuzzy methods are the most common approaches to deal with uncertainties. Among all the APP studies, only about one-fifth of them focused on both the economic and social aspects. …”
Get full text

Role of Nursing Staff in the Humanized Delivery of Patients with COVID-19 by Gloria Medina Naranjo, Guadalupe Cuello Cuello, Adisnay Rodríguez Rodríguez, Riber Donoso Noroña

“…To the usual insecurities during the act of birth today are added uncertainties derived from the COVID-19 pandemic. <br /><strong>Objective:</strong> to identify the role of nursing staff in the humanized delivery of patients with COVID-19. …”
Get full text

PROBLEMS AND PROSPECTS OF THE EUROPEAN REGIONAL ORDER by L. A. Dymova

“…Institutional problems are aggravated against the background of crises in highly sensitive areas such as economy and security, as well as uncertainties in the external international environment. …”
Get full text

Optimizing Multimodal Transportation: A Novel Decision-Making Approach With Fuzzy Risk Assessment by R. Muthunandhini, K. Palanivel

“…The integration of these methods within a fuzzy risk assessment framework allows for a robust handling of uncertainties and subjective judgments that are inherent in multimodal transportation planning. …”
Get full text