A Digital Twin Framework With Bayesian Optimization and Deep Learning for Semiconductor Process Control by Chin-Yi Lin, Tzu-Liang Tseng, Tsung-Han Tsai

“…This paper introduces an intelligent optimization framework that integrates Digital Twin (DT) technology, deep learning, and a tailored Multi-Restart Bayesian Optimization with Random Initialization (MRBORI) to enhance parameter control and yield in semiconductor manufacturing. …”
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End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters by Kylian Schmidt, Krishna Nikhil Kota, Jan Kieseler, Andrea De Vita, Markus Klute, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Joseph Willmore, Pietro Vischia

“…The success of this proof-of-concept study provides a foundation for the future applications of end-to-end optimization to more complex detector systems, offering a promising path toward systematically exploring the vast design space in next-generation experiments.…”
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Optimizing land use for carbon neutrality: A scenario analysis in the Jakarta metropolitan area by Runsen Zhang, Chui Ying Lee, Marissa Malahayati, Yan Xu, Shin-ichi Onodera, Mitsuyo Saito, Iwan Ridwansyah, Ruci Wang

“…This study developed a model for optimizing land use for carbon neutrality, integrating land use demand forecasting and spatial allocation models to systematically analyze land use changes in the Jakarta metropolitan area. …”
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A framework of artificial light management for optimal plant development for smart greenhouse application. by João Pereira, Abdul Mounem Mouazen, Mathias Foo, Hafiz Ahmed

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Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…Following a thorough explanation of a rigorous selection process—which targeted the most impactful peer-reviewed publications from the last decade, the paper presents the mathematical concepts of RL and multi-agent RL, along with detailed summaries and summary tables of the integrated works to facilitate quick reference to key findings. …”
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State-of-the-art anesthesia practices: a comprehensive review on optimizing patient safety and recovery by Guolu Fu, Lili Xu, Huaqing Chen, Jinping Lin

“…This review emphasizes the importance of a holistic approach from preoperative preparation to postoperative recovery to achieve optimal patient outcomes.…”
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Energy-Saving Performance and Optimization Study of Adaptive Shading System—A Case Study by Feining Yang, Huangping Zhou, Jianxing Chen, Yu Sun, Dong Wang, Fengjun Sun, Lili Zhang

“…In the context of global energy challenges, adaptive shading systems have emerged as pivotal components in building energy efficiency research. This study systematically evaluates critical performance factors influencing energy efficiency in adaptive shading systems for buildings located in hot summer and cold winter climate zones, with a focus on parametric optimization of shading panel configurations. …”
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Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review by Aliasghar Bazrafkan, C. Igathinathane, Nonoy Bandillo, Paulo Flores

“…The fusion of unmanned aerial system (UAS) and satellite imagery has emerged as a pivotal strategy in advancing precision agriculture. …”
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Enhancing laser surface texturing with driving training-based optimization: A metaheuristic approach by Ishwer Shivakoti, Sunny Diyaley, Partha Protim Das, Abhijit Bhowmik, A. Johnson Santhosh

“…Both single and multi-objective optimizations are conducted to determine optimal parametric settings. …”
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The Frequency of Urination Dysfunction in Patients Operated on for Rectal Cancer: A Systematic Review with Meta-Analyses by Dagný Halla Ágústsdóttir, Stina Öberg, Camilla Christophersen, Birthe Thing Oggesen, Jacob Rosenberg

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Smith chart-based particle swarm optimization algorithm for multi-objective engineering problems by A. Falloun, Y. Dursun, A. Ait Madi

“…Particle swarm optimization (PSO) is a widely recognized bio-inspired algorithm for systematically exploring solution spaces and iteratively iden-tifying optimal points. …”
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The effectiveness of online educational interventions on impostor syndrome and burnout among medical trainees: a systematic review by Chun-Lun Hsu, Cheng-Heng Liu, Chih-Chung Huang, Huey-Ling Chen, Yen-Lin Chiu, Chih-Wei Yang

“…Clinical trial number As this is a systematic review rather than a clinical trial, no clinical trial number is applicable. …”
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Risk factors for pneumonia after radical gastrectomy for gastric cancer: a systematic review and meta-analysis by Siyue Fan, Hongzhan Jiang, Qiuqin Xu, Jiali Shen, Huihui Lin, Liping Yang, Doudou Yu, Nengtong Zheng, Lijuan Chen

“…Abstract Objective The objective is to systematically gather relevant research to determine and quantify the risk factors and pooled prevalence for pneumonia after a radical gastrectomy for gastric cancer. …”
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Advanced analytics to improve energy efficiency of steel industry - A systematic review on ladle logistics by Akhil Raja Keshetti, Victor S.P. Ruela, Hao Chen, Marcos R. Machado

“…This systematic literature review focused on identifying advanced analytical methods that have the capability of enabling informed decision-making in optimising steel ladle logistics—a key process within steel-making that influences energy use and emissions. …”
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The effect of a systematic multi-dimensional assessment in severe uncontrolled asthma: a literature review and protocol for an investigator-initiated, open-label, randomized-contro... by L. Bult, G. J. Braunstahl, J. G. J. V. Aerts, D. Bänffer, J. S. J. A. van Campen, M. S. van Daalen, Y. van Dooren, U. Flanders, E. S. Geurts, P. P. Hekking, R. Heller - Baan, M. J. A. Jans, J. H. Kappen, R. C. A. Mies, B. Oppedijk, M. de la Roij - Hartmans, S. Van der Sar - Van der Brugge, Y. Türk, E. Vis, R. Wolters, E. C. Vasbinder, J. C. C. M. in ‘t Veen

“…Methods A literature review was conducted to address the knowledge gap on the effectiveness and added value of a systematic assessment and treatment in difficult-to-treat or severe asthma, followed by an outline of a study protocol to implement this in patients diagnosed with severe asthma. …”
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Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review by Álex Paz, Broderick Crawford, Eric Monfroy, José Barrera-García, Álvaro Peña Fritz, Ricardo Soto, Felipe Cisternas-Caneo, Andrés Yáñez

“…This study systematically reviews 23 empirical articles published between 2019 and 2023, highlighting the integration of machine learning and optimization techniques, particularly bio-inspired metaheuristics, for feature selection in individual credit risk assessment. …”
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Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms by Ariyaratne M.K.A., Silva R.M.

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Effects of exercise training on exercise capacity of patients with interstitial lung disease: a systematic review and meta-analysis by Qian Zhao, Nan Mo, Rui Li, Tian Tian Wei, WenJin Xu, Jie Wang, ShanShan Li, Huifang Zhu, Guiling Miao

“…To better understand the effects of exercise training on functional exercise capacity, we conducted a meta-analysis. Objective This systematic review and meta-analysis aimed to evaluate the effects of exercise training on the functional exercise capacity of adults with ILD. …”
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Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines by Niklas Monzen, Florian Stroebl, Herbert Palm, Christoph M. Hackl

“…The obtained Pareto optimal ANNs are trained and implemented on a realtime system and tested experimentally for a nonlinear reluctance synchronous machine against non-Pareto optimal ANN designs and a state-of-the-art OFTC approach. …”
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Integrating biomarkers for hemostatic disorders into computational models of blood clot formation: A systematic review by Mohamad Al Bannoud, Tiago Dias Martins, Silmara Aparecida de Lima Montalvão, Joyce Maria Annichino-Bizzacchi, Rubens Maciel Filho, Maria Regina Wolf Maciel

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