A hybrid optimization approach for accelerated multimodal medical image fusion. by Chisom Ezinne Ogbuanya, Adaora Obayi, Souad Larabi-Marie-Sainte, Amal O Saad, Lamia Berriche

“…Multimodal medical image fusion is a multi-objective due to the need of balancing factors like the weights of the fusion rules and the speed of the fusion process. While multi-objective particle swarm optimization has already been applied to solve this problem, it suffers from premature. …”
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Optimized YOLOv8 framework for intelligent rockfall detection on mountain roads by Peng Peng, Langchao Gao, Jiachun Li, Hongzhen Zhang

“…The algorithm enhances detection performance through the following optimizations: (1) integrating a lightweight DeepLabv3+ road segmentation module at the input stage to generate mask images, which effectively exclude non-road regions from interference; (2) replacing Conv convolution units in the backbone network with Ghost convolution units, significantly reducing model parameters and computational cost while improving inference speed; (3) introducing the CPCA (Channel Priori Convolution Attention) mechanism to strengthen the feature extraction capability for targets with diverse shapes; and (4) incorporating skip connections and weighted fusion in the Neck feature extraction network to enhance multi-scale object detection. …”
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Robust Optimal Design of SPMSM Considering Manufacturing Tolerances of Permanent Magnets by Jae-Hyeon Yeo, Jun-Kyu Kang, Jin Hur

“…Subsequently, robust optimization was performed using the Taguchi method based on the design of experiments (DOE).…”
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Cooperative Control of Interconnected Air Suspension Based on Energy Consumption Optimization by Guoqing Geng, Shuai Zeng, Liqin Sun, Zhongxing Li, Wenhao Yu

“…The model predictive controller is constructed based on a discrete-time state-space model. The optimal interval for suspension force is obtained through solving cost functions while satisfying a set of constraints on controlled variables and thereby reducing the coupling complexity of a multivariable control system. …”
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Sensor Field Segmentation and Parameter Optimization for Electrical Capacitance Tomography System by ZHANG Jin-rong, WANG Li-li, YANG Bo-Tao, LIU Xiao

“…The orthogonal design method is used to optimize the structural parameters of the sensor，and the ＲBF neural network is used to perform regression analysis on the orthogonal design test results. …”
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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…Automated hyperparameter tuning is done with KerasTuner, while dropout and weight decay regularization methods are used to control overfitting. …”
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Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

“…Abstract The ever-growing number of complex cyber attacks requires the need for high-level intrusion detection systems (IDS). While the available research deals with traditional, hybrid, and ensemble methods for network data analysis, serious challenges are still being met in terms of producing robust and highly accurate detection systems. …”
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Optimization of Coffee (Coffea arabica L.) Husk for Removal of Textile Dye by Zekeria Yusuf, Zemenu Pilto, Mulugeta Desta, Kebru Tegegn

“…Adsorption data were analyzed using isotherm and kinetic models, while thermodynamic parameters were calculated. Response surface methodology (RSM) was used to optimize adsorption conditions. …”
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Optimizing PID control for automatic voltage regulators using ADIWACO PSO by Yaw Opoku Mensah Sekyere, Priscilla Oyeladun Ajiboye, Francis Boafo Effah, Bernard Tawiah Opoku

“…The ADIWACO PSO incorporates adaptive hyperbolic tangent functions for inertia weight and acceleration coefficients, effectively balancing exploration and exploitation during the optimization process. Using the Integral Time Absolute Error (ITAE) as the objective function, the proposed method achieves superior controller performance compared to existing optimization techniques, including BAT, Improved KIA, ARO, and BBO. …”
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The physiology and psychology of negative splits: insights into optimal marathon pacing strategies by Gerasimos V. Grivas

“…The article also examines the limitations and applicability of negative splits among elite and recreational runners, highlighting the need for individualized approaches based on fitness level, environmental conditions, and race profile. In conclusion, while not universally applicable, negative splits represent a scientifically grounded pacing method that may optimize performance in marathon running across a range of athlete populations.…”
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Path Optimization of Welding Robot Based on Ant Colony and Genetic Algorithm by Yan Gao, Yiwan Zhang

“…In the shortest time trajectory optimization, the B-spline curve interpolation method and the GA are combined to carry out the segmental optimization processing. …”
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Automating sentinel-1 SLC product processing: Parallelization and optimization for efficient polarimetric parameter extraction by Hansanee Fernando, Kwabena Nketia, Thuan Ha, Sarah van Steenbergen, Heather McNairn, Steve Shirtliffe

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Dynamic Optimization of Xylitol Production Using Legendre-Based Control Parameterization by Eugenia Gutiérrez, Marianela Noriega, Cecilia Fernández, Nadia Pantano, Leandro Rodriguez, Gustavo Scaglia

“…Unlike traditional optimization approaches based on piecewise parameterization, which produce discontinuous control profiles and require post-processing, this method generates smooth profiles directly applicable to real systems. …”
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An optimization model for identifying backbone networks to enhance the resilience of distribution networks by Zefeng Zhu, Liang Liang, Shunbo Lei, Ruimin Zheng, Xiangjun Kong, Elena Gryazina

“…A linearized hierarchical decomposition strategy decoupled the NP-hard problem into 110kV and 220kV subproblems reducing computational complexity while ensuring global optimality. Additionally, the model integrated distributed generation (DG) into the backbone network to optimize joint scheduling, reducing the scale of backbone network while enhancing critical node redundancy. …”
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Enzymatic Extraction of Hawthorn Pectin Under Ultrahigh Pressure: Optimization and Characterization by Zheng Ye, Qiaoshuang Lu, Dihu Lv, Chun Yang

“…The optimized UHPEE process resulted in reductions in both the degree of esterification and molecular weight of the pectin, while concurrently increasing the content of total galacturonic acid and total polyphenols. …”
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Joint optimization for wind farm planning incorporating energy storage sizing by Bin Chen, Miaoyu Wei, Haibing Hu, Tengjun Zuo

“…This WF joint planning method unifies the optimizations across all layers into a single economic objective to pursue a balanced trade-off between overall costs and power generations. …”
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Evaluating Optimal Relationships for Estimating Suspended Sediment Discharge in the Balaroud River by Babak Lashkar-Ara, Farmehr Kiani

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Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation by Chenxi Wu, Hanxiao Hong, Suoyin Ni, Y. L. Lou

“…In recent years, the optimal scheduling of multienergy has become the focus of the research. …”
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Smart Building Electrical Energy Optimization Through Neural Network Techniques by El Kamili Moad, Touairi Souad, Mabrouki Mustapha

“…This paper presents a new approach to optimizing the use of electrical energy in smart buildings using neural network techniques. …”
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Olive Stones as Optimal Precursor of Activated Carbons for Water Purification Process by Rossella Girimonte, Nadia Astorino, Maria Turano, Daniele Sofia, Andrea Katovic

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