Optimizing encrypted search in the cloud using autoencoder-based query approximation by Mahmoud Mohamed, Khaled Alosman

“…Our work is comprehensively benchmarked against alternative methods to quantify gains. The open-source implementation enables further research into optimized neural encrypted search. …”
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Conveyor X-Ray Tomosynthesis Imaging With Optimized Structured Sequential Illumination by Xu Ma, Dong Wang, Angela Cuadros, Tianyi Mao, Qile Zhao, Gonzalo R. Arce, Tingfa Xu

“…This paper proposes a conveyor X-ray tomosynthesis imaging method with optimized structured sequential illumination. …”
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Emotion Perception and Service Optimization in ChatGPT-Driven Smart Libraries by ZHANG Mingjie, ZHAO Ruixue

“…This approach not only helps smart libraries handle the challenges of digital transformation but also offers a fresh way to meet users' emotional needs. [Method/Process] This study reviews relevant literature from both domestic and international sources, systematically analyzing the mainstream research methods and technological trends in the field of smart libraries. …”
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Research on Gear Modification Optimization Design of Dual Power Drive Gearbox by Zixuan Ge, Zhuzheng Xu

“…Taking a certain type of dual-power drive gearbox transmission system as the research object，through static simulation，the transmission error and tooth surface load of the gear pair at the input end of the power source A are analyzed. According to the gear pair modification method， the Romax software is used to carry out the research on the influence law of the modification parameters in the transmission error and tooth surface load. …”
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Beyond Standard Losses: Redefining Text-to-SQL with Task-Specific Optimization by Iker Azurmendi, Ekaitz Zulueta, Gustavo García, Nekane Uriarte-Arrazola, Jose Manuel Lopez-Guede

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Energy Aware Swarm Optimization with Intercluster Search for Wireless Sensor Network by Shanmugasundaram Thilagavathi, Bhavani Gnanasambandan Geetha

“…Generally, WSNs are power constrained due to their unique deployment method which makes replacement of battery source difficult. …”
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Optimization of Gallic Acid Production from Terminalia Chebula by Aspergillus niger by N. Lokeswari, K. Jaya Raju

“…Fungal mycelia pre-induced with 5 g/L gallotannin was used as inoculums. Optimal conditions of production were determined using various parameters including gallotannin concentration, nutritional source and metal ions are determined. …”
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End-to-end Projection Optimization Net for Short Scan CBCT Reconstruction by Xuan Zhou, Yuedong Liu, Cunfeng Wei

“…Robot CT is a unique CBCT system which consists of two independent manipulators carrying the source and detector. It has the ability to scan in arbitraty trajectory while it is hard to gain full-angle projection data. …”
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Studies on Optimization of Growth Parameters for L-Asparaginase Production by Streptomyces ginsengisoli by Neelima Deshpande, Prachi Choubey, Manasi Agashe

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Optimizing Budget Accuracy in the Mining Industry Through Zero-Based Budgeting by Firmansyah Firmansyah, Ahmad Juanda, Driana Leniwati

“…The main objective of this study is to explore how ZBB can help companies plan and manage budgets more effectively, as well as identify potential cost savings that can be achieved through an in-depth analysis of each budget item. The method used in this study is literature analysis, which includes a review of various academic sources and best practices in the application of ZBB in the mining industry. …”
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Optimal energy management of microgrid based on multi-parameter dynamic programming by Xuejie Wang, Yanchao Ji, Jianze Wang, Yuanjun Wang, Lei Qi

“…The model of energy management is considered as a multi-objectives and multi-parametric optimization problem. The multi-parameter dynamic programming is used to optimize the energy management of microgrid. …”
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Process Optimization for Pyro-gasification of Waste Polymer Using Hierarchical Catalysts by Viktoria Zsinka, Norbert Miskolczi, Stefania Tronci

“…These materials offer a renewable and abundant source, which can be converted into valuable fuels and chemicals. …”
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Optimal Operation of Energy Hub Systems under Resiliency Response Options by Ali Khodadadi, Taher Abedinzadeh, Hasan Alipour, Jaber Pouladi

“…The max-min fuzzy method is also used to select the optimal solution among the Pareto solutions. …”
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A Novel Gravity ‎Optimization Algorithm for Extractive Arabic Text Summarization by Mustafa J. Hadi, Ayad R. Abbas, Osamah Y. Fadhil

“…  An automatic text summarization system mimics how humans summarize by picking the most ‎significant sentences in a source text. However, the complexities of the Arabic language have become ‎challenging to obtain information quickly and effectively. …”
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Detection of child depression using machine learning methods. by Umme Marzia Haque, Enamul Kabir, Rasheda Khanam

“…As a result, our objective is to 1) create a model that can predict depression in children and adolescents aged 4-17 years old, 2) evaluate the results of ML algorithms to determine which one outperforms the others and 3) associate with the related issues of family activities and socioeconomic difficulties that contribute to depression.<h4>Methods</h4>The YMM, the second Australian Child and Adolescent Survey of Mental Health and Wellbeing 2013-14 has been used as data source in this research. …”
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Dynamic characterization and vibration response optimization of EMT system for tracked vehicles by Zhengda Han, Xiaocong Liang, Wei Zhang, Yi Liu, Jingang Liu

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An informativeness score for optimal mixed datasets using Gaussian process regression by Cameron J LaMack, Eric M Schearer

“…In this study, we present a method for calculating an optimally informative dataset for numerous subsystem models. …”
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Dynamic Multiobjective Optimization Based on Multi-Environment Knowledge Selection and Transfer by Wei Song, Jian Yu

“…<i>Background:</i> Dynamic multiobjective optimization problems (DMOPs) involve multiple conflicting and time-varying objectives, and dynamic multiobjective algorithms (DMOAs) aim to find Pareto optima that are closer to the real one in the new environment as soon as possible. …”
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COMBINATION OF KNN AND PARTICLE SWARM OPTIMIZATION (PSO) ON AIR QUALITY PREDICTION by Sugandi Yahdin, Anita Desiani, Shania Putri Andhini, Dian Cahyawati, Rifkie Primartha, Muhammad Arhami, Ditia Fitri Arinda

“…Another problem with KNN is difficult to determine the optimal value of the K parameter in KNN. The Particle Swarm Optimization (PSO) method can be used for problems on KNN. …”
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Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks by Haifeng Jiang, Yanjing Sun, Renke Sun, Hongli Xu

“…Based on energy inequality, the method is designed to compute the degree of energy balance. …”
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