Diesel Engine Urea Injection Optimization Based on the Crested Porcupine Optimizer and Genetic Algorithm by Xu Chen, Changhai Ma, Quanli Dou, Shuzhan Bai, Ke Sun, Zhenguo Li

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Optimal control for high-precision repeat ground-track orbits via convex optimization by Yanchao HE, Lei ZHANG, Yijun YANG, Qian CHEN

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An Improved Multi-Objective Grey Wolf Optimizer for Aerodynamic Optimization of Axial Cooling Fans by Yanzhao Gong, Richard Amankwa Adjei, Guocheng Tao, Yitao Zeng, Chengwei Fan

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Optimizing sustainable blended concrete mixes using deep learning and multi-objective optimization by Rupesh Kumar Tipu, Preeti Rathi, Kartik S. Pandya, Vijay R. Panchal

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An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems by Marwa M. Emam, Mohammed R. Saad, Mina Younan, Essam H. Houssein

“…This paper presents EDO-LFOL as a viable global and practical optimization problem solution. To evaluate the effectiveness of EDO-LFOL, we compare it against seven robust optimizers across 12 unconstrained test functions associated with the IEEE Congress on Evolutionary Computation 2022 (CEC 2022). …”
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Optimizing circadian drug infusion schedules towards personalized cancer chronotherapy. by Roger J W Hill, Pasquale F Innominato, Francis Lévi, Annabelle Ballesta

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Construction Scheduling Optimization of Prefabricated Buildings Under Resource Constraints Based on an Improved Whale Optimization Algorithm by Rui Su, Joey S. Aviles

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GINSER: Geographic Information System Based Optimal Route Recommendation via Optimized Faster R-CNN by S. D. Anitha Selvasofia, B. SivaSankari, R. Dinesh, N. Muthukumaran

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Quantum‐inspired Arecanut X‐ray image classification using transfer learning by Praveen M. Naik, Bhawana Rudra

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An Improved Particle Swarm Optimization Algorithm forOptimal Allocation of Distributed Generation Units in Radial Power Systems by Neda Hantash, Tamer Khatib, Maher Khammash

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NeSyDPP-4: discovering DPP-4 inhibitors for diabetes treatment with a neuro-symbolic AI approach by Delower Hossain, Delower Hossain, Ehsan Saghapour, Ehsan Saghapour, Jake Y. Chen, Jake Y. Chen, Jake Y. Chen

“…These challenges highlight the urgent need for efficient in-silico approaches to facilitate the discovery and optimization of safer and more effective DPP-4 inhibitors.MethodologyQuantitative Structure-Activity Relationship (QSAR) modeling is a widely used computational approach for evaluating the properties of chemical substances. …”
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Investigating the Effects of Labeled Data on Parameterized Physics-Informed Neural Networks for Surrogate Modeling: Design Optimization for Drag Reduction over a Forward-Facing Ste... by Erik Gustafsson, Magnus Andersson

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Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm by P. Rajakumar, M. Senthil Kumar, K. Karunanithi, S. Vinoth John Prakash, P. Baburao, S. P. Raja

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Performance Assessment of Natural Survivor Method-Based Metaheuristic Optimizers in Global Optimization and Engineering Design Problems by Hüseyin Bakır

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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

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Deep Learning-Driven Predictive Modelling for Optimizing Stingless Beekeeping Yields by Noor Hafizah Khairul Anuar, Mohd Amri Md Yunus, Muhammad Ariff Baharudin, Sallehuddin Ibrahim, Shafishuhaza Sahlan

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Research on the new generation framework of PHM systems for railway trains by QIN Yong, DING Ao, WANG Biao, LIU Han, XU Lei, CAI Changjun, CHANG Zhenchen

“…The existing system frameworks suffer from perception inefficiency, insufficient fusion, poor model optimization dynamics, weak computational synergy, and low levels of autonomous decision-making, etc. …”
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Construction of Bi4Ti3O12@ZnIn2S4 heterostructures: Photocatalytic performance and chemical speciation investigation by Nikolaos Karamoschos, Andreas Katsamitros, Ioannis Konstantinou, Dimitrios Tasis

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Series Arc Fault Detection Based on Improved Artificial Hummingbird Algorithm Optimizer Optimized XGBoost by Lichun Qi, Takahiro Kawaguchi, Seiji Hashimoto

“…To address these issues, a series arc fault detection method combining artificial hummingbird algorithm (AHA) and XGboost has been proposed. According to GB14287.4—2014, an experimental platform for fault arcs was designed and built to collect fault arc signals. …”
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An efficient Quantum Approximate Optimization Algorithm with fixed linear ramp schedule for truss structure optimization by Junsen Xiao, Naruethep Sukulthanasorn, Reika Nomura, Shuji Moriguchi, Kenjiro Terada

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