A Generalized Multi-Layer Framework for Video Coding to Select Prediction Parameters by Muhammad Asif, Maaz Bin Ahmad, Imtiaz A. Taj, Muhammad Tahir

“…The exploitation of the RDO technique contributes significantly to increase the computational complexity of the coding process. In this paper, a generalized multi-layer framework is presented, which provides a hierarchical optimized way to select MB prediction parameters. …”
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Evaluating the Nuclear Reaction Optimization (NRO) Algorithm for Gene Selection in Cancer Classification by Shahad Alkamli, Hala Alshamlan

“…<b>Background/Objectives</b>: Cancer classification using microarray datasets presents a significant challenge due to their extremely high dimensionality. This complexity necessitates advanced optimization methods for effective gene selection. …”
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Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

“…Then, the important challenges in MPC implementation, such as computational complexity reduction and delay compensation, weighting factor selection for multi‐objective cost functions, steady state performance and ripple reduction, parameter variations/model mismatching and achieving extended prediction horizons, are surveyed and most relevant solutions are reviewed. …”
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Exergetic calculation of the efficiency of heat pump installations for a private building by О. Стенін, В. Пасько, М. Солдатова, І. Дроздович

“…The models and methods proposed in most works for evaluating the energy efficiency of ground-source heat pump installations for designers and implementers of heat supply systems for residential buildings are quite complex and highly specialized. …”
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Efficient structure learning of gene regulatory networks with Bayesian active learning by Dániel Sándor, Péter Antal

“…Abstract Background Gene regulatory network modeling is a complex structure learning problem that involves both observational data analysis and experimental interventions. …”
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Integrating decision tools for efficient operations management through innovative approaches by Weidong Liu, Xuewu Lai

“…This study redefines the future of operations management by addressing efficiency and sustainability goals, offering a practical roadmap for organizations facing complex operational challenges.…”
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Gradient cement pastes with efficient energy dissipation and electromagnetic wave absorption by Yihao Xiao, Yajing Miao, Xin Zhang, Yahui Xue

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DIRECTIONS FOR ACHIEVING SUSTAINABLE DEVELOPMENT OF THE PRODUCTION POTENTIAL OF THE RUSSIAN AGRO-FOOD COMPLEX by Marianna VASILCHENKO, Elena DERUNOVA

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Multifunctional Magnetic Ionic Liquid‐Carbon Nanohorn Complexes for Targeted Cancer Theranostics by Yun Qi, Eijiro Miyako

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Complex Dynamics and Intelligent Control: Advances, Challenges, and Applications in Mining and Industrial Processes by Luis Rojas, Víctor Yepes, José Garcia

“…Complex dynamics and nonlinear systems play a critical role in industrial processes, where complex interactions, high uncertainty, and external disturbances can significantly impact efficiency, stability, and safety. …”
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SCIENTIFIC APPROACH TO A COMPLEX ASSESSMENT OF DETERMINANTS OF THE INSURANCE MARKET DEVELOPMENT OF UKRAINE by L. V. Popova, N. O. Kovalchuk, D. D. Polagnyn

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Cellular porosity in dentin exhibits complex network characteristics with spatio-temporal fluctuations. by Lucas Chatelain, Nicolas Tremblay, Elsa Vennat, Elisabeth Dursun, David Rousseau, Aurélien Gourrier

“…Overall, this study shows that dentin porosity exhibits typical characteristics of a complex network and quantitatively emphasize the importance of the smallest lateral branches. …”
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Analysis of Pharmaceutical Active Compounds in Complex Water Samples: Sample Filtration as an Option by Sofia Silva, João Rodrigues, Vitor V. Cardoso, Rui N. Carneiro, Cristina M. M. Almeida

“…This can be especially difficult when working with complex matrices such as natural waters and wastewater. …”
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Being An Wholistic and Developmental Healthcare Leader: Insights from a grounded theory research study by Shannon Richards-Green, Suzanne Gough, Mickan Sharon

“…In this environment, the healthcare leader’s ability to make sense of their experiences and thrive as a leader, is crucial to the efficient functioning of the healthcare system. Objective: To explore how the healthcare leader understands and makes sense of their leadership experiences and to develop a theoretical model which reflects contemporary leadership in a complex healthcare environment. …”
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Energy efficient resource allocation scheme for AF relay downlink system by Yu CHEN, Xu-ming FANG, Bo HUANG

“…In order to maximize the total energy efficiency of amplify-and-forward relay downlink system,a joint scheme of relay selection and power allocation was proposed with the circuit power of the system.For reducing the computa-tional complexity,a step-by-step suboptimal allocation scheme was provided.Firstly,the virtual direct channel gains were adopted to select appropriate transmission link.Meanwhile,relay system was converted to the single hop system.Then,the power allocation could be solved by convex optimization.Besides,in order to accommodate different user distribu-tions,a resource allocation scheme based on cell zooming was also proposed.Simulations demonstrated that the solution of the proposed suboptimal scheme approaches the optimal solution.Additionally,the scheme with cell zooming is adaptable to different user distributions and further improves the total system energy efficiency.…”
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Computationally Efficient Hybrid Downscaling of Surf Zone Hydrodynamics: Methodology and Evaluation by E. R. Echevarria, S. Contardo, B. Pérez‐Díaz, R. K. Hoeke, B. Leighton, C. Trenham, L. Cagigal, F. J. Méndez

“…Abstract We present a hybrid surf‐zone model that combines numerical simulations and statistical/machine learning techniques, enabling accurate calculations of nearshore wave and hydrodynamic parameters with high computational efficiency. The approach involves defining representative forcing conditions, carrying out numerical model (XBeach) simulations for these cases, and training machine learning models capable of predicting selected model output variables. …”
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Custom-made standardised over-dressings for torso burns; economical and efficient by Mobinulla Syed, Azzam Farroha, Bruce Azzam

“…Introduction: Torso burns following debridement and skin grafting usually require fairly complex dressings. The dressing consists of an interface layer, an absorbent layer and a retaining layer. …”
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THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS by A. V. Panteleev, M. S. Karane

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Angus: efficient active learning strategies for provenance based intrusion detection by Lin Wu, Yulai Xie, Jin Li, Dan Feng, Jinyuan Liang, Yafeng Wu

“…It is a challenge to develop active learning strategies that consider defining and selecting the most valuable provenance and ensure that the strategy for querying provenance is efficient. …”
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Improving the efficiency of the company’s activities while optimizing auxiliary business processes by yu M. Tsygalov, A. I. Yashchenko

“…The directions of improving the efficiency of economic work and operational efficiency of the company in modern conditions are gradually shifting from the predominant assessment of the main activities to a complex analysis, including auxiliary and non-systemic processes. …”
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