An Accurate Optimized Contour Segmentation Model for Green Spherical Fruits by Ting Zhang, Ying Xu, Kai Cao, Xiude Chen, Qiaolian Liu, Weikuan Jia

“…These advancements contribute to the development of more robust smart agriculture systems.…”
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Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast by Irineu de Brito, Silvia Uneddu, Emma Maspero, Paulo Gonçalves

“…This research supports the United Nations Children’s Fund’s (UNICEF) conceptualization, planning and implementation of a campaign for distribution of more than 12 million mosquito nets in Ivory Coast. …”
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Fisher Information-Based Optimization of Mapped Fourier Grid Methods by Sotiris Danakas, Samuel Cohen

“…A detailed analysis of the results, implications on more complex single valence electron Hamiltonians, and future extensions are also included.…”
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VGG-16 Accuracy Optimization for Fingerprint Pattern Imager Classification by Agus Andreansyah, Julian Supardi

“…The results of the study show the highest accuracy of 100% on the test data with the optimized parameters.These findings demonstrate that the optimized VGG-16 model successfully classifies fingerprint images with optimal performance. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…The article addresses a relevant issue of improving the accuracy of spectral analysis in computerized systems by optimizing window functions used in the Discrete Fourier Transform (DFT). …”
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ALGORITHMIZATION OF PROBLEMS FOR OPTIMAL LOCATION OF TRANSFORMERS IN SUBSTATIONS OF DISTRIBUTED NETWORKS by M. I. Fursanov, N. S. Petrashevich

“…But in practice they can be replaced in one substation but they can be successfully used  in other substations .Especially if there are limits of financial resources and the replacement needs more detail technical and economical basis.During the research the authors developed the efficient algorithm for determining of optimal location of transformers at substations of distributed electrical networks, based on search of the best solution from all sets of displacement in oriented graph. …”
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Optimal Covid-19 Control on Effectiveness of Detection Campaign and Treatment by Mouhamadou A. M. T. Baldé, Sidy Ly, Léna Tendeng

“…In recent years, the very topical issue of re-susceptibility has led to the proposal of more complex models to address this issue. The paper deals with an optimal control problem applied to COVID-19. …”
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TSQ: An Optimized Framework for Efficiently Answering Time Series Queries by Feifan Pu, Jianqiu Xu

“…The DR module incorporates several algorithms based on space-filling curves, which, through our enhancements, are capable of handling both high and low precision time series data more effectively. In the context of the SQ module, we employ two main optimization strategies, Early Abandoning and Sliding Window, to greatly improve the efficiency of similarity queries. …”
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Overview of Deep Learning Algorithms and Optimizers for Brain Tumor Segmentation by Nisha Purohit, Chandi Prasad Bhatt

“…This review focuses on analyzing different deep learning architectures and explores their performance when optimized using different optimizers. While deep learning techniques have significantly improved segmentation accuracy and robustness, challenges remain, particularly in terms of computational complexity, dataset imbalance, and generalization across diverse clinical settings. …”
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Dynamic Path Optimization Based on Improved Ant Colony Algorithm by Juan Cheng

“…Compared with the basic ant colony algorithm and the spatial shortest distance algorithm, the results of the optimal path obtained by the improved ant colony algorithm were more accurate, and the effectiveness of the improved ant colony algorithm was verified.…”
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OPTIMIZATION OF TREATMENT AND PROGNOSTIC APPROACHES TO BENIGN PROSTATIC HYPERPLASIA COMPLICATIONS by S. M. Pikalov, D. O. Gusev, A. D. Adilov, A. A. Zimichev, M. S. Klimentyeva, P. V. Sumskiy, I. V. Tarasov

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Health Risk Classification Using XGBoost with Bayesian Hyperparameter Optimization by Syaiful Anam, Imam Nurhadi Purwanto, Dwi Mifta Mahanani, Feby Indriana Yusuf, Hady Rasikhun

“…However, improvements are needed to obtain a faster and more accurate method in the future.…”
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Novel Design and Optimization of Porous Titanium Structure for Mandibular Reconstruction by Renshun Liu, Yuxiong Su, Weifa Yang, Xiaobing Dang, Chunyu Zhang, Ruxu Du, Yong Zhong

“…The results showed that compared with the initial porous structure, the position of the large stress regions remained unchanged, and the peak stress fluctuated slightly in the mandible and fixation system with the optimized porous structure under two occlusions. The optimized porous structure had a higher porosity and more uniform stress distribution, and the maximum stress was lower than the target stress value. …”
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Is there an optimal resting velopharyngeal gap in operated cleft palate patients? by Rajesh Yellinedi, Mukunda Reddy Damalacheruvu

“…Aims: To determine the existence of an optimal resting velopharyngeal (VP) gap in operated cleft palate patients Settings and Design: A retrospective analysis of lateral view videofluoroscopy of operated cleft palate patients. …”
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Bio-Inspired Multiobjective Optimization for Designing Content Distribution Networks by Gerardo Goñi, Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal, Andrei Tchernykh

“…In the evaluation of problem instances built using real data, the evolutionary multiobjective optimization approach was able to compute more accurate solutions in terms of cost and quality of service when compared to the exact resolution method. …”
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Evaluation and optimization of carbon emission for federal edge intelligence network by Peng ZHANG, Yong XIAO, Jiwei HU, Liang LIAO, Jianxin LYU, Zegang BAI

“…In recent years, the continuous evolution of communication technology has led to a significant increase in energy consumption.With the widespread application and deep deployment of artificial intelligence (AI) technology and algorithms in telecommunication networks, the network architecture and technological evolution of network intelligent will pose even more severe challenges to the energy efficiency and emission reduction of future 6G.Federated edge intelligence (FEI), based on edge computing and distributed federated machine learning, has been widely acknowledged as one of the key pathway for implementing network native intelligence.However, evaluating and optimizing the comprehensive carbon emissions of federated edge intelligence networks remains a significant challenge.To address this issue, a framework and a method for assessing the carbon emissions of federated edge intelligence networks were proposed.Subsequently, three carbon emission optimization schemes for FEI networks were presented, including dynamic energy trading (DET), dynamic task allocation (DTA), and dynamic energy trading and task allocation (DETA).Finally, by utilizing a simulation network built on real hardware and employing real-world carbon intensity datasets, FEI networks lifecycle carbon emission experiments were conducted.The experimental results demonstrate that all three optimization schemes significantly reduce the carbon emissions of FEI networks under different scenarios and constraints.This provides a basis for the sustainable development of next-generation intelligent communication networks and the realization of low-carbon 6G networks.…”
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Optimization and Modification of the Hydrogen Peroxide to Propylene Oxide (HPPO) Process by Fikri Wisnu Pratama, Zaidan Fadhlan, Thariq Abrar Purnamadjati, Wisnu Satrio Adjie

“…The production of Propylene Oxide (PO) through the Hydrogen Peroxide to Propylene Oxide (HPPO) process represents a cleaner and more efficient route compared to conventional methods. …”
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Parallel Primal-Dual Method with Linearization for Structured Convex Optimization by Xiayang Zhang, Weiye Tang, Jiayue Wang, Shiyu Zhang, Kangqun Zhang

“…This paper presents the Parallel Primal-Dual (PPD3) algorithm, an innovative approach to solving optimization problems characterized by the minimization of the sum of three convex functions, including a Lipschitz continuous term. …”
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FATIGUE STRENGTH ANALYSIS AND OPTIMIZATION OF FSC RACING EXHAUST SYSTEM by QI Qi, LIU HaoTian, WU XiaoJian, LUO Cheng

“…The exhaust pipe of engine is subjected to alternating load of low and high temperatures during operation,which is prone to fatigue damage.For the FSC（Formula Student China） racing engine with the highest speed of 11 000 r/min～13 OOOr/min,the exhaust pipe fatigue problem is more serious.In this paper,the FSC racing exhaust system is taken as the research object to analyze its fatigue strength and optimize the exhaust pipe thickness.Firstly,the Fluent software is used to analyze the conjugate heat transfer of the exhaust system to determine the temperature distribution of the exhaust system.Then the temperature distribution is mapped to the finite element mesh of the exhaust system,and the thermal stress and thermal strain are analyzed by finite element technology.Subsequently,two schemes including exhaust manifold " normal operation-parking cooling" cycle and extreme working condition cycle are designed to carry out the thermal cycle simulation.It is found that the exhaust gas accumulates plastic deformation under the alternating load of each cycle,and the exhaust system will eventually crack and be destroyed.Finally,the fatigue life of the two schemes is studied by using Ansys nCode DesignLife fatigue analysis software.The results show that both schemes effectively reflect the life expectancy of low-cycle fatigue damages under the combined action of exhaust manifold temperature field,thermal stress and strain.Based on the above analysis,the exhaust thickness is optimized by the extreme working condition circulation scheme.and it is verified by experiments that the 1.2 mm thickness steel pipe meets the FSC exhaust requirements.…”
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Trading in the Quantum Era: optimizing Bitcoin gains and energy costs by Simona-Vasilica Oprea, Adela Bâra, Cristian Bucur, Bogdan-George Tudorică, Niculae Oprea

“…This paper presents an in-depth analysis of a Quantum-inspired Multi-objective Optimization Algorithm (QMOA) applied to a unique problem: maximizing trading profits while minimizing energy costs. …”
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