Hydrodynamics Model Identification and Model-Based Control Application of a New Type of AUV by Lunyang Lin, Yuxiang Chen, Hong Xiong, Chunliang Yu, Hong Zhu, Yiyang Xing, Guodong Zheng

“…The hydrodynamic coefficients of underwater robots can be used to evaluate their maneuverability and motion stability and to design motion controllers, thereby reducing experimental time and costs. In this paper, an Autonomous Underwater Vehicle (AUV) with a negative-lift profile is designed. …”
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A Novel Automatic Generation Control Method Based on the Ecological Population Cooperative Control for the Islanded Smart Grid by Lei Xi, Yudan Li, Yuehua Huang, Ling Lu, Jianfeng Chen

“…Compared with five other smart ones, EPCC can improve convergence speed than that of others by nearly 33.9%–50.1% and the qualification rate of frequency assessment effectively by 2%–64% and can reduce power generation cost.…”
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Microwave-enhanced additive-free C–H amination of benzoxazoles catalysed by supported copper by Andrei Paraschiv, Valentina Maruzzo, Filippo Pettazzi, Stefano Magliocco, Paolo Inaudi, Daria Brambilla, Gloria Berlier, Giancarlo Cravotto, Katia Martina

“…A solid Cu(I) catalyst supported on aminated silica made the process cost-effective and heterogeneous, thus simplifying work-up and minimising free copper in solution. …”
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Optimization procedures in the problem of marketing educational services at the stage of forming a policy for recruiting applicants to universities by V. A. Rogova, R. V. Shamin

“…An increase in this parameter contributes to the fact that the average USE score of enrolled students increases, but at the same time the number of students enrolled in places with full cost recovery decreases. An optimization problem is considered, with the help of which it is possible to calculate the optimal value of this parameter.A game-theoretic mathematical model is proposed for modeling the influence of marketing activities and random factors on the result of a new set, with the help of which it is possible to form a ranked list of activities and the optimal allocation of resources. …”
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High-Resolution Rotor Fault Diagnosis of Wound Rotor Induction Machine Based on Stator Current Signature Analyses by Reza Ghadirinezhd, Mohammad Hoseintabar-Marzebali

“…In recent years, stator current signature analysis due to simplicity, cost-effectiveness, and availability has been considered for fault detection process in comparison with previous conventional methods such as acoustic and vibration. …”
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Transport Sector Impacts of a Border between Ireland and Northern Ireland after a Hard Brexit by Khaoula Morchid, Margaret O’Mahony

“…The results indicate that technology use leads to significant time and cost savings as well as reduced environmental impacts.…”
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A Scoping Review of Emerging and Established Surgical Robotic Platforms With Applications in Urologic Surgery by Braden Millan, Shavy Nagpal, Maylynn Ding, Jason Y. Lee, Anil Kapoor

“…Research and development are now focused on finding wider applications, improving outcomes, increasing availability, and reducing cost. Additional research is required comparing newly developed master–slave robotic platforms with those already well established.…”
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Connecting communities: Enhancing broadband access in rural Tanzania through small cell deployment by Pascal Yamakili, Mrindoko Rashid Nicholaus

“…Aim: The aim of this study is to explore potential performance enhancement to a network infrastructure comprising with Macro-cells only by introducing and deploying cost-effective and adaptable small-cell backhaul connections. …”
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Investigate the composition effect of Cu-Nb-B-Fe soft magnetic metallic glasses using deep learning method by ZhaoHui Huang, TianTian Zhang

“…To succeed in vitrification, metalloid elements and small amount of transition metals are added but at a cost of reduction of magnetic induction. There have been many experiment reports on individual compositions and a few deep learning studies. …”
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Beyond Manual Media Coding: Evaluating Large Language Models and Agents for News Content Analysis by Stavros Doropoulos, Elisavet Karapalidou, Polychronis Charitidis, Sophia Karakeva, Stavros Vologiannidis

“…The vast volume of media content, combined with the costs of manual annotation, challenges scalable codebook analysis and risks reducing decision-making accuracy. …”
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Retrofitted Hydrogen-Electric Propulsion Aircraft: Performance Simulation of Critical Operating Conditions by Wim Lammen, Pieter-Jan Dewitte, Elise Scheers

“…A total rated FCS output power of 3.1 MW is sufficient to satisfy the takeoff requirements, at the cost of lower cruise altitude and reduced cruise speed as compared to the Dash 8-300. …”
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Affine Formation Maneuver Control for Multiagent Systems Based on Unknown Input Reconstruction by Liduo Hu, Wei Zhang, Chenhang Yan, Yuhang Cai, Hao Chen, Zhi Hu

“…However, direct measurement of disturbances is often challenging due to technological and cost limitations. These disturbances introduce uncertainties that complicate multi-agent coordination, particularly in formation control tasks. …”
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Perceptions and practices of imaging personnel and physicians regarding the use of brain MRI for dementia diagnosis in Uganda. by Rita Nassanga, Noeline Nakasujja, Mark Kaddumukasa, Stephen E Jones, Martha Sajatovic, Michael Grace Kawooya

“…However, its use in Uganda is limited due to high costs, restricted access, mechanical failures, patient claustrophobia, myths and misconceptions, and interpretation difficulties by radiologists and inappropriate protocols by technologists.…”
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Microfluidic Devices for Manufacture of Therapeutic Extracellular Vesicles: Advances and Opportunities by Amin Hassanzadeh‐Barforoushi, Xenia Sango, Ella L. Johnston, David Haylock, Yuling Wang

“…With increasing interest in EV‐based therapies, the development of scalable, cost‐effective and regulatory‐compliant production methods is critical. …”
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Performance of composite alkali-activated slag for coal seam floor grouting material by Xinwang LI, Rongyuan WU, Lichao CHENG, Yifei QI, Lei LI, Li LI

“…In response to the high cost and environmental concerns associated with cement-based grouting materials in the coal seam floor grouting reinforcement project in Handan-Xingtai Mining Area, a solution is proposed using alkali-activated slag grouting materials with slag as the main raw material and CaO and NaOH as activators. …”
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Analytical Approach to Designing a Combined-Mode Resonator Filter on Surface Acoustic Waves Using the Model of Coupling of Modes by A. S. Koigerov

“…The relevant research task of reducing the design time and optimizing the filter’s cost can be solved by either using modern computational software or improving existing modeling tools.Aim. …”
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Computational design exploration of rocket nozzle using deep reinforcement learning by Aagashram Neelakandan, Arockia Selvakumar Arockia Doss, Natrayan Lakshmaiya

“…The ability of DRL agents to autonomously generate and refine nozzle geometries, coupled with deep learning-based predictive modeling, paves the way for rapid, cost-effective, and automated aerospace component development. …”
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Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage by Yiwen Geng, Qi Liu, Hao Zheng, Shitong Yan

“…Stage II employs an improved multi-objective particle swarm optimization (IMOPSO) algorithm to optimize HESS power allocation, minimizing unit hydrogen production cost and reducing average battery charge–discharge depth. …”
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DNN-based Software Reliability Model for Fault Prediction and Optimal Release Time Determination by Shikha Dwivedi, Neeraj Kumar Goyal, Hariom Chaudhari

“…Additionally, the predicted faults are used to determine the optimal release time, based on the customer's reliability requirements and the minimum cost necessary to achieve that reliability. By offering a more comprehensive and accurate prediction of software reliability, this model provides a practical solution for software development teams, facilitating better decision-making in testing, maintenance, and release planning.…”
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A Scalable All-Digital Near-Memory Computing Architecture for Edge AIoT Applications by Masoud Nouripayam, Arturo Prieto, Joachim Rodrigues

“…The NMC co-processor, operating alongside the general-purpose RISC-V core, forms a multi-core system-on-chip that combines low hardware cost with high energy efficiency, while maintaining a high degree of flexibility. …”
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