Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method by Fatma Akalın, Pınar Dervişoğlu Çavdaroğlu, Mehmet Fatih Orhan

“…However, the stability of the results is a valuable. Therefore, the optimization algorithm that minimizes the loss function and the regularization method that controls the complexity of the model are proposed. …”
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Effect of Application Techniques on Spray Quality Optimization in Sweet Pepper Cultivation in Protected Environments by Gustavo Dario, Luciano Del Bem Junior, Flávio Nunes da Silva, Matheus Mereb Negrisoli, Evandro Pereira Prado, Fagner Angelo da Silva e Oliveira, Maria Márcia Pereira Sartori, José Francisco Velásquez Sierra, Carlos Gilberto Raetano

“…Air assistance and electrical charge transfer to droplets can optimize pesticide applications and reduce losses in sweet pepper cultivation. …”
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Optimizing muscle mass and function in advanced lung cancer patients: randomized, double-blind, placebo-controlled trial protocol using High Eicosapentaenoic acid and PROtein (HEPR... by Imanuely Borchardt, Carla Prado, Tatiane Montella, Gisele Fraga Moreira, Gisele Farias, Marina Xavier Reis, Fernanda Taveira, Fernanda Carneiro Dias, Pedro De Marchi, Alberto Davalos, Carolina Alves Costa Silva, Carlos GilMoreira Ferreira, Andreia Melo, Wilza Peres

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Optimizing colorectal cancer segmentation with MobileViT-UNet and multi-criteria decision analysis by Barun Barua, Genevieve Chyrmang, Kangkana Bora, Manob Jyoti Saikia

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Optimization Model for Safeguarding Vulnerable Components in Integrated Energy Systems Based on Weighted Betweenness by ZHANG Chenwei, WANG Ying, LI Yaping, ZHANG Kaifeng

“…The simulation results demonstrate that under conditions of equivalent attack and damage, the system with the optimal protection strategy achieves reduction of 45.37% in weighted betweenness loss compared with that without protection. …”
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A Novel Energy Model for Optimizing Energy Efficiency and Prolonging Network Lifetime in MANET by Abdulsalam Tonin, Malek Nasser Ali Algabri, Mansoor N. Ali, Mossa Ghurab, Abdualmajed Ahmed Ghaleb Al-Khulaidi, Ibrahim Ahmed Al-Baltah

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Industrial data-driven machine learning soft sensing for optimal operation of etching tools by Feiyang Ou, Henrik Wang, Chao Zhang, Matthew Tom, Sthitie Bom, James F. Davis, Panagiotis D. Christofides

“…Two types of models with different loss functions are tested to compare the effects of the Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) loss functions on model performance. …”
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Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization by Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong

“…To enhance training stability, Northern Goshawk Optimization is utilized to optimize the generator’s cost and loss functions, mitigating issues like non-convergence and mode collapse. …”
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Forest edges are globally warmer than interiors and exceed optimal temperatures for vegetation productivity by Josephine Elena Reek, Thomas W. Crowther, Thomas Lauber, Sebastian Schemm, David Parastatidis, Nektarios Chrysoulakis, Mengtian Huang, Shilong Piao, Constantin M. Zohner, Gabriel Reuben Smith

“…During summer months, surface temperature at edges frequently exceeds the optimal temperature for vegetation productivity, particularly in tropical forests. …”
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OPERATIVE CORRECTION OF ARRIVAL AND DEPARTURE FLOW OF AEIRCRAFT AT THE AERODROME by G. N. Lebedev, V. B. Malygin

“…The problem of optimal correction of the scheduled time of take-off and landing aircraft using a single runway (RW), in conditions of high air traffic intensity at which the probability of a conflict between the takeoff and landing reaches a critical value.The efficient approach that allows to solve the problem of safety effectively using the method of "penalty" functions given the additional loss of fuel in case of delays of departure and arrival is proposed.The advantages of the suboptimal solution compared to accept today as a "team" solution to the conflict of the departure and arrival aerodrome is shown.…”
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Comparative analysis of FACT devices for optimal improvement of power quality in unbalanced distribution systems by Ahmed M. Elkholy, Dmitry I. Panfilov, Ahmed E. ELGebaly

“…The multi-objective function is constructed to combine the total system losses and the average voltage unbalance coefficient. …”
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Robust Optimization for Microgrid Management With Compensator, EV, Storage, Demand Response, and Renewable Integration by Hamid Hematian, Mohamad Tolou Askari, Meysam Amir Ahmadi, Mahmood Sameemoqadam, Majid Babaei Nik

“…The multi-objective function aims to minimize various costs related to energy losses, power purchases, load curtailment, DG operation, and battery/EV expenses over a 24-hour period. …”
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Optimizing energy and load management in island microgrids for enhancing resilience against resource interruptions by Majid Hosseina, Mahmoud Samiei Moghaddam, Amir Hassannia

“…In this paper, we propose a novel resilience-oriented energy and load management framework for island microgrids, integrating a multi-objective optimization function that explicitly minimizes load curtailment, energy losses, voltage deviations, emissions, and energy procurement costs while maximizing the utilization of renewable energy sources. …”
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Formulation Optimization of Liquid Rapid-Freezing Cryopreservation Solution and Its Application Effectiveness on Tilapia by Ting DUNA, Lanqing PENG, Fanwei DAI, Feiping CHEN, Zheng LUO, Qiongyao WANG, Hailin Yue, Jijun Gong, Mingqiang YE

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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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Optimized placement and sizing of solar photovoltaic distributed generation using jellyfish search algorithm for enhanced power system performance by P Rajakumar, P. M. Balasubramaniam, E. Parimalasundar, K. Suresh, P. Aravind

“…The formulated multi-objective function incorporates real power loss (RPL) minimization, voltage deviation index (VDI) reduction, and voltage stability index (VSI) enhancement, employing a weighted sum approach (WSA) to ensure computational rigor. …”
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Determination of the Optimal Algorithm for the Operation of a Hybrid Power System with a Regulating Generator by Kuznetsov N., Lysenko O.

“…The goal is achieved by a mathematical model construction in which the system parameters would be formalized and allow the choice of optimal options. The mathematical model uses random functions to obtain statistical estimates, and is implemented as sequential models of energy generation and consumption as an integrated random process. …”
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Toward an Entropy-based Method for Multi-Physics Optimization of Additively Manufactured Cellular Materials by Tyler D. Smith, Dhruv Bhate

“…The method was demonstrated by optimizing the topology of a regular honeycomb to minimize irreversibilities due to thermal losses, fluid friction, mechanical strength, and mass. …”
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Inverse Design of Multi-Port Power Splitter with Arbitrary Ratio Based on Shape Optimization by Yang Liu, Zhe Kang, Haoda Xu, Guangbiao Zhong, Ruitao Zhang, Chaoying Fu, Ye Tian

“…However, most existing APSs are designed with two output channels, limiting their functionality. In this study, we present a shape optimization method to develop a multiport arbitrary ratio power splitter (MAPS) that enables arbitrary power distribution across three output channels within a compact footprint of 6 µm × 2.7 µm. …”
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Load optimization of cogeneration units based on intuitive multi-objective fish swarm algorithm by Xueqiang Shen, Jiaxin Wang

“…Convergence direction is adaptively adjusted using intuitionistic fuzzy entropy, with Pareto frontier solutions determining optimal load allocation. Evaluated via the Zitzler-Deb-Thiele (ZDT) benchmark functions, IFEMOAFSA achieves a 42.63% comprehensive performance improvement over four benchmark algorithms, verified by Mean Inverted Generational Distance (MIGD) and Mean Hypervolume Metric (MHV). …”
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