Accelerating cell culture media development using Bayesian optimization-based iterative experimental design by Harini Narayanan, Joshua A. Hinckley, Rachel Barry, Brendan Dang, Lenna A. Wolffe, Adel Atari, Yuen-Yi Tseng, J. Christopher Love

“…These examples demonstrate how coupling data collection, modeling, and optimization in this iterative paradigm, while using an exploration-exploitation trade-off in each iteration, can reduce the time and resources for complex optimization tasks such as the one demonstrated here.…”
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Optimizing low-power, anti-interference routing with IRS through spatiotemporal reinforcement and federated learning by Chengfu Fan, Shoujiu Xiong, Fei Zhou

“…Unlike traditional approaches, SAC-IRS incorporates real-time channel state information (CSI) feedback, enabling the system to adapt to varying network conditions and improve signal strength while reducing energy consumption. Experimental results demonstrate that SAC-IRS achieves a 90% packet delivery rate and lowers energy consumption to 0.25 mJ/bit, outperforming existing methods such as AODV, DeepIR, and IRS-Q-Routing. …”
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Financial fraud detection using a hybrid deep belief network and quantum optimization approach by Gui Yu, Zhenlin Luo

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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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A Survey of Machine Learning Techniques for Optimal Capacitor Placement and Sizing in Smart Distribution Networks by Kwabena Addo, Katleho Moloi, Musasa Kabeya, Evans Eshiemogie Ojo

“…The increasing complexity of modern power distribution networks necessitates advanced strategies for reactive power compensation, particularly in capacitor placement and sizing. Traditional optimization techniques, while effective, often struggle with dynamic system behaviors, nonlinear loads, and real-time operational constraints. …”
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A new intelligent control strategy for CSTH temperature regulation based on the starfish optimization algorithm by Davut Izci, Serdar Ekinci, Mostafa Jabari, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Ali Riza Yildiz, Seyedali Mirjalili

“…The 2DOF-PIDA controller enhances system performance by decoupling setpoint tracking and disturbance rejection, while the SFOA ensures optimal tuning of controller parameters by leveraging its powerful exploration and exploitation capabilities. …”
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Transparency and emergency procurement: the moderating effect of bounded rationality “striving for ‘good enough’ in lieu of optimal?” by Yohana Arsen Rutaba

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ANN and RF Optimized by Hunter–Prey Algorithm for Predicting Post-Blast RC Column Morphology by Kai Rong, Yongsheng Jia, Yingkang Yao, Jinshan Sun, Qi Yu, Hongliang Tang, Jun Yang, Xianqi Xie

“…The drilling and blasting method is commonly employed for the rapid demolition of outdated buildings by destroying key structural components and inducing progressive collapse. …”
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Optimal control analysis to reduce the health complexity of co-infection with COVID-19 and kidney disease by Md. Abdul Hye, Md. Haider Ali Biswas, Mohammed Forhad Uddin

“…The findings indicate that individuals with kidney disease are at an increased risk of severe complications from COVID-19, while COVID-19 can exacerbate kidney disease symptoms, creating a complex health scenario. …”
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Optimizing blood management in burn surgery: a meta-analysis of tranexamic acid vs. placebo by Mohamed Abdo Khalafallah, Jana Ahmed Elsead, Fatima Azzam Aboud, Basmala Mohamed Koraim, Islam Saeed Elhois

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State-of-the-Art Review: Models and Algorithms for Optimal Power System Design, Stabilization, and Reliability Enhancement by Senele Njabulo Zwane, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…Models and algorithms are instrumental in bolstering stability, especially using Power System Stabilizers (PSS) and refined control methods. In this study, a state-of-the-art review of models and algorithms for optimal power system design, stabilization, and reliability enhancement is conducted. …”
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Prediction of failures in the project management knowledge areas using optimized ensemble models in software companies by Lamia Berriche, Abderrazak Loulizi

“…To further improve performance, ensemble techniques such as soft voting, hard voting, and stacking were explored. Combinatorial optimization was used to identify the most effective set of base learners for ensemble methods. …”
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The Detection Optimization of Low-Quality Fake Face Images: Feature Enhancement and Noise Suppression Strategies by Ge Wang, Yue Han, Fangqian Xu, Yuteng Gao, Wenjie Sang

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Risk assessment and support optimization for cable trench construction in soft soil areas in Zhejiang province by Linlin Zhang, Rong Bian, Keji Chen, Guoqiang Li, Miaosong Gu

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Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

“…These findings open avenues for further exploration and optimization of RNN-based methods in structural damage analysis, suggesting that the strategic use of RNNs can complement CNN models to achieve robust performance in this domain.…”
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Benchmark dataset and deep learning method for global tropical cyclone forecasting by Cheng Huang, Pan Mu, Jinglin Zhang, Sixian Chan, Shiqi Zhang, Hanting Yan, Shengyong Chen, Cong Bai

“…Abstract Accurate tropical cyclone (TC) forecasting is critical for disaster prevention. While deep learning shows promise in weather prediction, existing approaches demonstrate limited accuracy in TC track and intensity forecasting, hindered by the lack of open multimodal datasets and insufficient integration of meteorological knowledge. …”
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Optimizing transformer-based prediction of human microbe–disease associations through integrated loss strategies by Rong Zhu, Yong Wang, Junliang Shang, Ling-Yun Dai, Feng Li

“…In response to these limitations, computational methods have gained traction as more practical tools for predicting microbe-disease associations. …”
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Determining optimal strategies for primary prevention of cardiovascular disease: a synopsis of an evidence synthesis study by Olalekan A Uthman, Lena Al-Khudairy, Chidozie Nduka, Rachel Court, Jodie Enderby, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

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Phycomediation of cadmium contaminated aqueous solutions using Chlamydomonas sp.: process optimization and adsorption characterization by Reem Mohammed Alharbi, Neveen Abdel-Raouf, Neveen Abdel-Raouf, Mostafa Shaaban Mohamed, Wael A. Fathy, Ibraheem Borie M. Ibraheem, Walaa Gamal Hozayen

“…Kinetic modeling suggested a pseudo-second-order process, while isotherm analysis adhered to the Langmuir model, indicating considerable adsorption capacity and efficiency under optimal conditions. …”
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OPTIMIZATION STRATEGIES AND COMPUTATIONAL MODELING IN THE DESIGN AND PERFORMANCE EVALUATION OF GREEN POROUS OIL ADSORBENT MATERIALS by Haoran Zhang, Sagdat Mederbekovna Tazhibayeva

“… This study optimizes green porous oil adsorbent material design and selection to improve adsorption efficiency, cost-effectiveness, and sustainability to address the growing environmental challenge of oil spill remediation. …”
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