Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using improvised deep Belief Network (I-DBN) with Optimum feature selection technique by T. K. Revathi, B. Sathiyabhama, S Kaliraj, Vidhushavarshini Sureshkumar

“…We used Principal Component Analysis (PCA) and Particle Swarm Optimization (PSO) algorithm for feature extraction and selection respectively. …”
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Bionic Design for Mars Sampling Scoop Inspired by Himalayan Marmot Claw by Long Xue, Rong Rong Zhang, Wei Zong, Jia Feng Song, Meng Zou

“…Based on geometric parameter optimization of the clawed toes, a bionic sampling scoop for use on Mars was designed. …”
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Inverse Analysis of the Partitioning Deformation Modulusof High-Arch Dams Based on Quantum Genetic Algorithm by Yantao Zhu, Xinqiang Niu, Jimin Wang, Chongshi Gu, Erfeng Zhao, Lixian Huang

“…A mechanical parameter inversion of high-arch dams is built from the intelligent optimization of an established algorithm by applying the quantum genetic algorithm. …”
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Using Improved XGBoost Algorithm to Obtain Modified Atmospheric Refractive Index by Yanbo Mai, Zheng Sheng, Hanqing Shi, Qixiang Liao

“…Given that it is difficult to obtain the atmospheric refractive index of 100 meters (m)–3000°m over the ocean, this paper proposes an improved extreme gradient boosting (XGBoost) algorithm based on comprehensive learning particle swarm optimization (CLPSO) operator to obtain them. Finally, the mean absolute percentage error (MAPE) and root mean-squared error (RMSE) are used as evaluation criteria to compare the prediction results of improved XGBoost algorithm with backpropagation (BP) neural network and traditional XGBoost algorithm. …”
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Hierarchical and Distributed Eco-Driving Approach for Mixed Vehicle Clusters at Unsignalized Intersections by Jie Yu, Yugong Luo, Weiwei Kong, Fachao Jiang

“…For the vehicle control layer, based on the anticipated driving speed obtained from the cloud decision layer, the nonlinear distributed model predictive control (NDMPC) method is utilized for distributed optimal control of each vehicle formation, to achieve optimization in terms of energy saving. …”
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A Parallel Decoding Algorithm for Short Polar Codes Based on Error Checking and Correcting by Yingxian Zhang, Xiaofei Pan, Kegang Pan, Zhan Ye, Chao Gong

“…Due to the existence of multiple solutions of the error-checking equations, we formulate a CRC-aided optimization problem of finding the optimal solution with three different target functions, so as to improve the accuracy of error checking. …”
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Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors by Behroozinia Sahar, Gu Qing

“…However, most existing DNN architectures are optimized for single tasks and thus lack the flexibility required for the simultaneous execution of multiple tasks within a unified artificial intelligence platform. …”
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The Effect of Regional Industrial Restructuring on the Resource Environmental Carrying Capacity in Jingjiang City, Jiangsu Province, China by Yunlong Bi, Yi Hu, Xiaoli Xu, Fangqu Niu

“…In addition, this study provides basic support for the optimization of the industrial space layout. The RECC is assessed under different development scenarios, and the results provide a basis for industrial restructuring. …”
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A Secure Object Detection Technique for Intelligent Transportation Systems by Jueal Mia, M. Hadi Amini

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STUDIES OF THE BHK-21/2-17 LINEAGE USING FLOW CYTOMETRY by M. A. Shevchenko, M. N. Guseva, D. V. Mikhalishin, B. L. Manin, A. A. Shishkova

“…Unsuccessful cultivation stages associated with low pH content in the cultivator where pH was not maintained at the constant level were detected. During optimization of cell cultivation physical and chemical parameters proliferation intensity increased. …”
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Prioritize Effective Factors of Scheduling in Tehran Metro Station with Fuzzy TOPSIS Model by Vinh Phuc Dung, Minh Tien Nhung

“…This research tries to provide an optimal data mining approach and machine learning principles to predict the route and select the optimal path in metro lines with minimum time, best speed, and minor errors in routing. …”
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Analysis of factors influencing innovation and entrepreneurship education based on analytic hierarchy process by Xianchao Zhou, Yanbo Cheng

“…By quantifying the importance of these key factors through the AHP model, our findings validate existing research and offer specific scientific data for policy-making and teaching method optimization. This quantitative approach enhances the accuracy and reliability of results compared to previous studies, highlighting the importance of systematic and scientific analysis for understanding and optimizing complex educational systems. …”
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Design of the robot mechanism for quality acceptance of insulator installation in 500 kV transmission lines by LI Yu, ZHANG Zhongjie, ZHOU Xiaofa, CHEN Shufan, SUN Boyang, XIA Yanfeng, FAN Diqing, FANG Yu

“…Then, in order to solve the problem of the robot’s stable crawling on insulator strings with different tilt angles, the optimization of the robot’s driving structure was carried out, and kinematic simulations were carried out on insulator strings with three different tilt angles of 5°, 10° and 15°. …”
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Mitigating Barren Plateaus of Variational Quantum Eigensolvers by Xia Liu, Geng Liu, Hao-Kai Zhang, Jiaxin Huang, Xin Wang

“…However, recent works have pointed out that the performance of VQAs greatly relies on the expressibility of the ansatzes and is seriously limited by optimization issues, such as barren plateaus (i.e., vanishing gradients). …”
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An FRLQG Controller-Based Small-Signal Stability Enhancement of Hybrid Microgrid Using the BCSSO Algorithm by Ginbar Ensermu, M. Vijayashanthi, Merugu Suresh, Abdul Subhani Shaik, B. Premalatha, G. Devadasu

“…A new controller with the assistance of bell-curved squirrel search optimization (BCSSO) is proposed to address the aforementioned issue. …”
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Development and validation of a UPLC-MS method for determination of atazanavir sulfate by the “analytical quality by design” approach by Saha Chandni, Gupta N. Vishal, Chandan R. S.

“…The critical method parameters established were percent of organic modifier, flow rate and injection volume. Optimization performed using Box-Behnken Design (BBD) established 10 % organic modifier, 0.4 mL min−1 flow rate and 6-µL injection volume as the optimum method conditions. …”
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Research on TCN Model Based on SSARF Feature Selection in the Field of Human Behavior Recognition by Wei Zhang, Guibo Yu, Shijie Deng

“…The model is based on the TCN classification model and incorporates a random forest with the sparrow optimization algorithm to perform dimensionality reduction on the original features, which is used to remove poorly correlated and unimportant features and retain effective features with a certain contribution rate to generate the optimal feature subset. …”
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Establishment and Application of the Void Closure Prediction Model of 316LN by Min Qin, Jiansheng Liu, Jingdan Li

“…It is essential to establish a void closure model to predict cavity closure in the forging process to optimize the forging process and improve forging quality. …”
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Collaborative planning of subcontractors using the Last Planner System: a case study on a gas subcontractor in repetitive housing projects by Xavier Brioso, Karla Delgado-Martínez, Luis Bravo-Salomón

“…This allowed to determine the optimal sectioning, Takt Time Planning, subcontractor restrictions, weekly and daily planning, and finally, the lessons learned from the implementation of the LPS for future projects, which can be adapted to other types of subcontracts…”
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WORKING CAPITAL MANAGEMENT AND MANUFACTURING PERFORMANCE IN NIGERIA by Adedeji Daniel Gbadebo

“…Management working capital involve the optimization of inventory, debtors and creditor to ensure profitability and liquidity of a firm. …”
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