Frequency-Decoupled Dual-Stage Inverse Lithography Optimization via Hierarchical Sampling and Morphological Enhancement by Jie Zhou, Qingyan Zhang, Haifeng Sun, Chuan Jin, Ji Zhou, Junbo Liu

“…However, traditional gradient-based ILT methods often struggle with the trade-off between imaging fidelity and mask manufacturability due to coupled optimization objectives. …”
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A multi-objective optimization framework based on information sharing for serially connected robot design by Jiliang Zhao, Wei Peng, Handing Wang, Wen Yao

“…The two-robot controller can zero-shot generalize various sizes of serially connected robots, ensuring good motion coordination while significantly reducing the cost of control optimization. …”
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Coverage optimization and node minimization in WSNs: an enhanced hybrid PSO approach with spatial position encoding by Yinghua Tong, Lianhai Lin, Liqin Tian, Zhigang Wang, Wenxing Wu, Junyi Wu

“…This paper presents an enhanced hybrid particle swarm optimization (EHPSO) algorithm that incorporates a spatial position encoding (SPE) strategy to optimize coverage while dynamically adjusting the number of sensors deployed in WSNs. …”
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Optimization of Hydronic Heating System in a Commercial Building: Application of Predictive Control with Limited Data by Rana Loubani, Didier Defer, Ola Alhaj-Hasan, Julien Chamoin

“…Optimizing building equipment control is crucial for enhancing energy efficiency. …”
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Optimized spray-drying of zinc sulfate-loaded liposomes: physicochemical characterization and in vitro release assessment by Monireh Abbassi, Samad Nejad Ebrahimi, Masoud Rahimi

“…Zinc-loaded liposomes were prepared via the thin-film hydration method and spray-dried under optimized conditions. …”
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Design and Electromagnetic Performance Optimization of a MEMS Miniature Outer-Rotor Permanent Magnet Motor by Kaibo Lei, Haiwang Li, Shijia Li, Tiantong Xu

“…In this study, an ultra-thin outer-rotor motor with 3D MEMS silicon-based coils and a MEMS-compatible manufacturing method for the 3D coils is presented. Additionally, finite element simulations are conducted for the thin-film topology around the air gap to optimize performance characteristics such as torque developed, torque pulsations, and back electromotive force amplitude. …”
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Optimizing navigation and chemical application in precision agriculture with deep reinforcement learning and conditional action tree by Mahsa Khosravi, Zhanhong Jiang, Joshua R. Waite, Sarah E. Jones, Hernan Torres Pacin, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar

“…The framework employs a hierarchical decision-making structure with conditional action masking, where high-level actions guide the robot's exploration, while low-level actions optimize its navigation and efficient chemical spraying in affected areas. …”
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Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration by Xinxin Cui, Yuee Zhou, Caihong Wei, Guodong Suo, Fengqing Jin, Jianlan Yang

“…Extensive experimental results on three public brain magnetic resonance imaging datasets show that our method has the highest registration accuracy compared with 9 cutting-edge registration methods, which fully verifies the effectiveness and application potential of our model design.…”
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Optimal Design of Linear Quadratic Regulator for Vehicle Suspension System Based on Bacterial Memetic Algorithm by Bala Abdullahi Magaji, Aminu Babangida, Abdullahi Bala Kunya, Péter Tamás Szemes

“…An LQR control system adjusts the suspension’s behavior by determining the optimal feedback gains using BMA. The control objective is to significantly reduce the random vibration and oscillation of both the vehicle and the suspension system while driving, thereby making the ride smoother and enhancing road handling. …”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…The proposed method provides significant improvements in fault classification while outperforming state-of-the-art methods. …”
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A study of morpho-phonological processes in the Zanjani dialect of Azerbaijani Turkish based on optimality theory by farnaz ebadi, Mohammad Reza Oroji, Sakine Jafari, Mehri Talkhabi

“…Two types of constraints are examined in this theory: Markedness Constraint and Faithfulness Constraint. Optimality Theory is a method of interpreting constraints, which can be used as a tool in linguistic theories. …”
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Optimization of thermal conductivity in coir fibre-reinforced PVC composites using advanced computational techniques by Saksham Anand, Venkatachalam Gopalan, Shenbaga Velu Pitchumani

“…Abstract This research focuses on enhancing the thermal conductivity of coir fibre-reinforced polyvinyl chloride (PVC) composites using advanced optimization techniques. While coir fibre adds sustainability and biodegradability, it poses challenges in achieving optimal thermal performance when integrated into PVC. …”
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Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study by Mahmoud B Almadhoun, MA Burhanuddin

“…PCA kept 12 components while maintaining 95% of the variance in the dataset. …”
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Mechanical performance prediction of basalt fiber reinforced concrete based on random forest and hyperparameter optimization by Dalian Bai, Junwen Chen, Jialiang Wang, Cunpeng Liu

“…This study applies the Random Forest (RF) algorithm combined with hyperparameter optimization methods including Grid Search (GS), Random Search (RS), Bayesian Optimization (BO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Optuna Optimization (OO) to build a predictive model. …”
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Weighted explainable federated learning for privacy-preserving and scalable energy optimization in autonomous vehicular networks by Muhammad Saleem, Ali Arishi, Muhammad Sajid Farooq, M.A. Khan, Khan M. Adnan

“…The framework also integrates Explainable AI (XAI) methods to improve interpretability, transparency, and regulatory compliance. …”
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Optimizing antithrombotic therapy following mitral valve repair: a comprehensive network meta-analysis by Mohamed Ibrahim Gbreel, Mohamed Hamouda Elkasaby, Marwa Hassan, Marc Ulrich Becher, Mahmoud Balata

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Installation of an Electric Car Charger Using the Bald Eagle Optimizer Cascaded PI and LQR Controller by Ali Huzbur Hussien, Khalid Mohammed Ameen Alazawi

“…It enhances the significant power factor of the power source while minimizing distortion from harmonics. The Golden Eagle optimization methods are employed to enhance the setting of Proportional-Integral (PI) and Linear Quadratic Regulator (LQR) controller settings for improved conversion efficiency. …”
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AI-driven optimization of bioremediation strategies for river pollution: a comprehensive review and future directions by Allen-Adebayo Blessing, Kehinde Olateru

“…This narrative review explores the transformative potential of artificial intelligence (AI) in optimizing bioremediation systems for river pollution control while addressing the challenges and limitations associated with its implementation. …”
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Optimizing resource allocation in remote healthcare via blockchain-enabled decentralized networks and spectral clustering by A. Kanimozhi, K. Vidya

“…The proposed system utilizes the InterPlanetary File System (IPFS) to handle resource requests transparently and securely, while spectral and agglomerative clustering algorithms are employed to optimize delivery routes. …”
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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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