Molecular and metabolic insights into muscle development and feed efficiency in beef cattle by Sophia M. Ascolese, Brynn H. Voy, Jonathan E. Beever, Jonathan E. Beever, Laney M. Stephens, Phillip R. Myer

“…Feed efficiency, often quantified through residual feed intake (RFI), is a complex trait influenced by genetic, physiological, and environmental factors. …”
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Optimizing Solar Radiation Prediction with ANN and Explainable AI-Based Feature Selection by Ibrahim Al-Shourbaji, Abdalla Alameen

“…Two XAI techniques, LIME and SHAP, are then used to explain the best-performing ANN model and reduce its complexity by selecting the most significant features. …”
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Mechanism–Data Collaboration for Characterizing Sea Clutter Properties and Training Sample Selection by Wenhao Chen, Yong Zou, Zhengzhou Li, Shengrong Zhong, Haolin Gan, Aoran Li

“…However, it is a big challenge for these models to accurately characterize sea clutter due to the complexity of the marine environment. Moreover, the distribution of training samples captured from dynamic observation conditions is imbalanced. …”
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Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications by Jaekwon Kim, Hyo-Sang Lim, Kwanghoon Choi

“…Future wireless systems with massive antennas must balance data rates and RF chain costs. Antenna selection activating only a subset of antennas addresses this challenge. …”
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LLMAGENTNET: A COLLABORATIVE NETWORK OF AUTONOMOUS AI AGENTS FOR COMPLEX TASK EXECUTION by А. Р. Бідочко, Я. І. Виклюк

“… Recent advancements in Large Language Models (LLMs) have opened new horizons for building autonomous AI agents capable of executing complex, multi-step tasks across a wide range of domains. …”
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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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Exergetic calculation of the efficiency of heat pump installations for a private building by О. Стенін, В. Пасько, М. Солдатова, І. Дроздович

“…This article offers an exergetic calculation of the coefficient of the degree of thermodynamic perfection for the selection of the appropriate heat pump for the selected scheme of the heat pump installation and real operating conditions. …”
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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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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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Low-Complexity Distortionless Techniques for Peak Power Reduction in OFDM Communication Systems by A. Ghassemi, T. A. Gulliver

“…Implementation of these techniques typically employ direct computation of the IDFT, which is not the most efficient solution. In this paper, we consider the development and performance analysis of these distortionless techniques in conjunction with low-complexity IFFT algorithms to reduce the PAPR of the OFDM signal. …”
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Multimedia privacy protection: an N-round cascaded cryptosystem based on merged multi-chaotic maps under various image attacks by Tarek Srour, Ali M. El-Rifaie, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Bilel Neji

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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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Intrusion detection system based on machine learning using least square support vector machine by Pratik Waghmode, Manideep Kanumuri, Hosam El-Ocla, Tanner Boyle

“…The selection is based on identifying the feature subset with the highest accuracy. …”
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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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THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS by A. V. Panteleev, M. S. Karane

“…The software allows you to select a method, a task and select the method parameters and the penalty function coefficients in the best possible way. …”
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Productivity of corn hybrids, economic and energy efficiency of their cultivation in the Krasnodar Territory by A. A. Makarenko, S. V. Kokovikhin, T. V. Logoyda

“…The development of modern technologies for growing corn grain is a complex task that requires the use of adaptive approaches and highly productive, stress-resistant hybrids with individually selected sets of agrotechnical techniques. …”
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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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Event-driven bi-fidelity control for efficient and reliable robotic manipulation by Fawaz W. Alsaade, Mohammed S. Al-zahrani, Fuad E. Alsaadi

“…The simulation results on a three-arm manipulator, subject to low-frequency sinusoidal and high-frequency chirp trajectories, demonstrate that the proposed approach achieves up to 80–90% reduction in MPC calls, significantly improving the accuracy of the follow-up and computational efficiency. These findings highlight the potential of integrating learning-based approximations with conventional optimization-based control to achieve reliable and time-efficient performance in complex robotic manipulation tasks.…”
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