Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic Approach by João P. V. de Cesaro, Mauro A. S. S. Ravagnani, Fernando D. Mele, Caliane B. B. Costa

“…The reformulated problem is solved using integer particle swarm optimization (PSO) coupled with a simple search strategy, where the number of cleaning actions is preset and their timing is optimized. …”
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Sustainable AI With Quantum-Inspired Optimization: Enabling End-to-End Automation in Cloud-Edge Computing by Andreas Andreou, Constandinos X. Mavromoustakis, Evangelos K. Markakis, Athina Bourdena, George Mastorakis

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The A3C Algorithm With Eligibility Traces of Energy Management for Plug-In Hybrid Electric Vehicles by Dingyi Guo, Guangyin Lei, Huichao Zhao, Fang Yang, Qiang Zhang

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Strategic Decision-Making in SMEs: A Review of Heuristics and Machine Learning for Multi-Objective Optimization by Gines Molina-Abril, Laura Calvet, Angel A. Juan, Daniel Riera

“…From this, the study develops a practical framework for implementing and evaluating optimization strategies tailored to SMEs’ limitations. …”
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Optimizing Rice Plant Disease Classification Using Data Augmentation with GANs on Convolutional Neural Networks by Tinuk Agustin, Indrawan Ady Saputro, Mochammad Luthfi Rahmadi

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Reinforcement Learning-Based Formulations With Hamiltonian-Inspired Loss Functions for Combinatorial Optimization Over Graphs by Redwan Ahmed Rizvee, Raheeb Hassan, Md. Mosaddek Khan

“…The transformation of QUBO to an Ising Hamiltonian is recognized as an effective method for solving key optimization problems using quantum algorithms. Recently, PI-GNN, a generic framework, has been proposed to address CO problems over graphs based on QUBO with Hamiltonian loss function to train the underlying GNN architecture. …”
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Optimized Prediction of Weapon Effectiveness in BVR Air Combat Scenarios Using Enhanced Regression Models by Andre R. Kuroswiski, Annie S. Wu, Angelo Passaro

“…Accurate WEZ predictions are crucial for decision-making in air combat, and high-performance solutions are essential for developing and deploying autonomous systems. To optimize the model training process, we introduce novel feature engineering and data augmentation strategies, achieving a 70% improvement in the Mean Absolute Error (MAE) of WEZ predictions. …”
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Smart Microgrid Management and Optimization: A Systematic Review Towards the Proposal of Smart Management Models by Paul Arévalo, Dario Benavides, Danny Ochoa-Correa, Alberto Ríos, David Torres, Carlos W. Villanueva-Machado

“…This systematic review, following the PRISMA 2020 methodology, analyzed 66 studies focused on advanced energy storage systems, intelligent control strategies, and optimization techniques. Hybrid storage solutions combining battery systems, hydrogen technologies, and pumped hydro storage were identified as effective approaches to mitigate RES intermittency and balance short- and long-term energy demands. …”
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Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation by Vahiduddin Shariff, Chiranjeevi Paritala, Krishna Mohan Ankala

“…By introducing targeted augmentation strategies, such as adjustments in hue, brightness, saturation, and contrast, the CNN + DA model diversifies training data and enhances its robustness. …”
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Selection and Success in Badminton: The Role of Lobs and Smashes in Junior Athletes' Performance by Touptiolo Touptiolo, Helmina Ria Siregar, Vina Mardatila Tarigan, Yogi Suwananda, Soukaina Hattabi, Willette Nance

“…This study examines the effectiveness and tactical implications of lob and smash strategies in competitive badminton among junior athletes. …”
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Optimal Autonomous Control for Distribution Transformer Area With High Photovoltaic Penetration Based on CSBO-LSTM by Yukai Wei, Chun He, Zhuo Chen, Yinyuan Guo, Zongyuan Li

“…The model takes maximizing PV power consumption as the core objective, while considering voltage stability regulation and minimum network loss, to construct a multi-objective optimization function. Firstly, the improved CSBO is used to solve the multi-objective optimization problem, accurately formulate the PV reactive power regulation and ESS charging/discharging strategies, and generate the optimal operation dataset of the transformer area through multi-scenario simulation. …”
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Multi-objective optimization of cushion gas design in underground gas storage using machine learning by Mohaddeseh Ahmadi Aghdam, Maryam Fazaeli, Mahdi Kanaani, Behnam Sedaee

“…This research is among the first to integrate intelligent proxy modeling with multi-objective optimization for cushion gas design in UGS systems, offering a novel path toward environmentally responsible storage strategies.…”
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Optimizing the Role of Family Nurses in Improving Community Health A Holistic Approach: Literature Review by Hijrah Hijrah, Nur Syamsi Norma Lala, Natalia Datu, Sethiana Dewi Ruben, Shao Ling Wang

“…To support the sustainability of these practices, there is a need for specialized training for family nurses and the integration of family-based strategies in community health policies.…”
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DIGITALIZATION IN FINANCIAL REPORTING AND MARKETING ON MICRO, SMALL AND MEDIUM ENTERPRISES AS A STRATEGY FOR ECONOMIC RECOVERY IN THE PANDEMIC PERIOD by Riska Nur Rosyidiana, Rizka Miladiah Ervianty, Mochammad Nurul, Putri Marta Linduwati, Indri Nurisa Arda Rini, Laily Agustina Rahmawati

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A Reinforcement Learning Approach to Personalized Asthma Exacerbation Prediction Using Proximal Policy Optimization by Dahiru Adamu Aliyu, Emelia Akashah Patah Akhir, Maryam Omar Abdullah Sawad, Jameel Shehu Yalli, Yahaya Saidu

“…These findings highlight PPO’s potential for real-time clinical integration, enabling continuous patient monitoring and proactive intervention strategies. Future work will focus on training the model on larger, multi-source datasets to improve generalization across diverse populations. …”
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Machine learning and population pharmacokinetics: a hybrid approach for optimizing vancomycin therapy in sepsis patients by Keyu Chen, Chuhui Wang, Yu Wei, Sinan Ma, Weijia Huang, Yalin Dong, Yan Wang

“…These results underscore the importance of selecting appropriate models based on the availability of concentration data, providing valuable guidance for precision dosing strategies in sepsis care. This work contributes to advancing personalized vancomycin therapy, optimizing dosing regimens, and improving clinical outcomes in sepsis patients.…”
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Preventive strategies for reducing intraoperative awareness due to errors in anesthetic drug delivery systems: a narrative review by Qisheng Chen, Qisheng Chen, Shixuan Peng, Shixuan Peng, Shixuan Peng, Wenjun Luo, Shuzhai Li, Zhiming Zhang

“…To tackle the unique challenges of ADDS in relation to IOA, the review discusses and emphasizes comprehensive 3E prevention strategies: (1) Enhancing training and education (such as check-listing of anesthetic delivery systems preoperatively, conducting effective communication, optimizing drug combinations, and avoiding intraoperative anesthetic medication errors); (2) Employing more monitoring intraoperatively (such as monitoring anesthetic concentration, monitoring depth of anesthesia, monitoring vital signs, and monitoring neuromuscular function); and (3) Encouraging incident reporting and audit practices. …”
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Deformable registration for nasopharyngeal carcinoma using adaptive mask and weight allocation strategy based CycleFCNs model by Yi Guo, Jun Chen, Lin Lu, Lingna Qiu, Linzhen Lan, Feibao Guo, Jinsheng Hong

“…The CycleFCNs model was used for deformable registration, and two strategies including adaptive mask registration strategy and weight allocation strategy were adopted for training. …”
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Nonlinear Model Predictive Control Energy Management Strategy for Hybrid Power Ships Based on Working Condition Identification by Yucheng Yan, Zhichao Chen, Diju Gao

“…Finally, the effectiveness of the proposed strategy in optimizing energy control and reducing fuel consumption is verified through simulation. …”
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Coping Strategies for Public Speaking Anxiety in EFL Learners: A Study of EDSA English Study Club Members by Lilik Muhibbah, Taranindya Zulhi Amalia

“…Effective mentoring and techniques are essential to alleviate anxiety and enhance public speaking abilities. Implementing training focused on coping strategies serves as a complementary measure, enabling participants to optimize their performance, particularly during discussions. …”
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