Reducing Cation Leaching and Improving Greenhouse Cucumber’s Nutritional Yield Through Optimized Organic–Inorganic Fertilization by Xilin Guan, Wenqing Cao, Dunyi Liu, Huanyu Zhao, Ming Lu, Xinhao Gao, Xinping Chen, Yumin Liu, Shenzhong Tian

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The Role of Black Soldier Fly Larvae in Optimizing Performance and Amino Acid Composition in Thai Native Chicken by Theeraphat Srikha, Padsakorn Pootthachaya, Warin Puangsap, Suphakon Pramotchit, Wuttigrai Boonkum, Chanon Suntara, Yupa Hanboonsong, Anusorn Cherdthong, Bundit Tengjaroensakul, Sawitree Wongtangtintharn

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Bus Arrival Time Prediction Using Wavelet Neural Network Trained by Improved Particle Swarm Optimization by Yuanwen Lai, Said Easa, Dazu Sun, Yian Wei

“…Given the nonlinearity, randomness, and complexity of bus arrival time, this paper proposes the use of a wavelet neural network (WNN) model with an improved particle swarm optimization algorithm (IPSO) that replaces the gradient descent method. …”
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Research on multi-objective topology optimization of unmanned sightseeing vehicle frame based on Analytic Hierarchy Process by Pei Tang, Weikai Xu, Zhenyu Ding, Minnan Jiang, Mao Lv

“…The rectangular steel frame structure of the original frame is replaced with square plates, the basic model of the unmanned sightseeing car frame is established, and a single-objective topology optimization mathematical model of the frame is established to optimize the topology design of the frame. …”
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A Loss Reduction Optimization Method for Distribution Network Based on Combined Power Loss Reduction Strategy by Jihua Xie, Chang Chen, Huan Long

“…A method for solving the optimization model based on the cost-benefit ratio is also proposed. …”
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A Multi-Category Defect Detection Model for Rail Fastener Based on Optimized YOLOv8n by Mei Chen, Maolin Zhang, Jun Peng, Jiabin Huang, Haitao Li

“…With respect to efficiency, the Conv and c2f modules of the YOLOv8n model are, respectively, replaced with the GSConv and VoVGSPCP modules, accordingly achieving a lightweight design. …”
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Upcycling waste snail shells into high-performance nanocatalyst for optimized biodiesel production: A sustainable approach by Shikhasmita Das, Jasha Momo H. Anal, Pranjal Kalita, Lakshi Saikia, Samuel Lalthazuala Rokhum

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Hybrid convolutional neural network optimized with an artificial algae algorithm for glaucoma screening using fundus images by M. Shanmuga Eswari, S. Balamurali, Lakshmana Kumar Ramasamy

“…Glaucoma screening was performed using the optimized FRCNN. The Softmax layer was replaced with an SVM classifier layer and optimized with an AAA to attain enhanced accuracy. …”
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A Machine Learning-Assisted Automation System for Optimizing Session Preparation Time in Digital Audio Workstations by Bogdan Moroșanu, Marian Negru, Georgian Nicolae, Horia Sebastian Ioniță, Constantin Paleologu

“…The proposed approach highlights how practical automation, combined with lightweight Neural Network (NN) models, can optimize workflow efficiency in real-world music production environments.…”
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Optimizing the axis ratio of elliptical PCM encasement for enhanced thermal performance in radiant floor heating systems by Zhenyu Wang, Weijun Gao, Jian Sun, Yanna Gao

“…This study proposes an innovative solution through CFD numerical simulation: replacing the conventional circular encasement with an elliptical encasement and optimizing the elliptical axis ratio to enhance the system’s thermal performance and reduce mortar layer thickness, thereby lowering construction costs. …”
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Performance Characteristics and Cost Optimization of Self-Compacting Concrete with Industrial Waste Additives to be Used in Agricultural Buildings by Selçuk Memiş

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Enhanced crayfish optimization algorithm: Orthogonal refracted opposition-based learning for robotic arm trajectory planning. by Yuefeng Leng, Chunlai Cui, Zhichao Jiang

“…In high-dimensional scenarios, trajectory planning is a challenging and computationally complex optimization task that requires finding the optimal trajectory within a complex domain. …”
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Improving the prediction of bitumen’s density and thermal expansion by optimizing artificial neural networks with Optuna and TensorFlow by Eli I. Assaf, Xueyan Liu, Sandra Erkens

“…Using Optuna for hyperparameter optimization, we ensure that the information extracted from MD simulations is utilized effectively.The resulting ANN models accurately reproduce MD-predicted densities, achieving R2>0.99, MSEs below 0.1 %, and maximum absolute errors below 5 % on test data. …”
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The Voltage Control Strategy for Doubly Salient Electromagnetic Generator With Active Rectifier Based on Optimal Current Distribution by Weifeng Liu, Yulong Tao, Xiaoli Meng

“…However, adjusting only one of the two currents cannot achieve optimal performance in terms of dynamic response and copper loss. …”
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Transient Temperature Evaluation and Thermal Management Optimization Strategy for Aero-Engine Across the Entire Flight Envelope by Weilong Gou, Shiyu Yang, Kehan Liu, Yuanfang Lin, Xingang Liang, Bo Shi

“…Subsequently, a systematic evaluation of engine thermal management performance throughout the complete flight mission was conducted, revealing the limitations of the existing thermal management design and proposing targeted optimization strategies, including employing Cooled Cooling Air technology to improve high-pressure turbine blade cooling efficiency, dynamically adjusting low-pressure turbine bleed air to minimize unnecessary losses, optimizing fuel heat sink utilization for enhanced cooling performance, and replacing mechanical pumps with motor pumps for precise fuel supply control.…”
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Robust Sidelobe Control for Adaptive Beamformers Against Array Imperfections via Subspace Approximation-Based Optimization by Yang Zou, Zhoupeng Ding, Hongtao Li, Shengyao Chen, Sirui Tian, Jin He

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Multi-objective Path Planning for AUVs Based on Improved Whale Optimization Algorithms and Fluid Disturbance Algorithms by Yuhong MA, Wen PANG, Daqi ZHU

“…An elite retention mechanism was introduced to ensure the global convergence of the algorithm through an iterative optimization framework that replaced the worst individuals with the optimal ones. …”
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Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm by Muhammad Shafiqul Islam, Mohd Ashraf Ahmad

“…This research introduces the improved Archimedes optimization algorithm (IAOA) for data-driven modeling of continuous-time Hammerstein models with missing data. …”
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Numerical simulation for heat optimization via nanofluid in the presence of activation energy: A case of dust particles by Bilal Ahmad, Bagh Ali, Muhammad Ozair Ahmed

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Route Optimization of Hazardous Material Railway Transportation Based on Conditional Value-at-Risk Considering Risk Equity by Liping Liu, Shilei Sun, Shuxia Li

“…This study develops a novel CVaRE model that replaces fixed threshold constraints with a dynamic risk equity goal, providing greater flexibility in risk distribution adjustments. …”
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