Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization by Fagui Liu, Hengrui Qin, Xin Yang, Yi Yu

“…The research of localization technology based on received signal strength and machine learning has recently attracted a lot of attentions, since with the help of enough labeled training data this technology is able to achieve high positioning accuracy. …”
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Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm by Wang Junru, Qin Pengfei, Sun Guangbin

“…Taking the six-degree-of-freedom manipulator as the research object, a nonlinear equation system of its inverse kinematics was established; taking the position error of the end of the manipulator as the optimization objective, the fitness function was constructed by combining with the energy loss, so as to transform the inverse kinematics problem into the optimization problem of the objective function, and the proposed algorithm was used to solve the problem. …”
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Dynamic identification method for flow patterns of liquid-solid two-phase flow in horizontal pipelines by ZHUJUNLIANG Junliang, ZHAOZHIFENG, WANGSHUGANG, JIANG Shuang

“…An experimental platform is built to verify the results, and the reconstruction effect is evaluated using relative error. The research results indicate that although there is some differences between the reconstructed flow pattern obtained by the DMD based identification method for liquid-solid two-phase flow patterns and the true flow pattern, the differences is within an acceptable range and can objectively reflect the evolution process of liquid-solid two-phase flow patterns. …”
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Behavioral Aspects of Population Mobility Following a CBRN Event and Their Implications for Economic Consequence Analysis by Adam Rose, Bess Djavadi

“…The analysis is intended to point out the relative sensitivities of bottom-line economic impacts to the various population mobility dimensions, so as to guide researchers undertaking this estimation and to help prioritize future research on reducing uncertainties in the direction of drivers that are the most impactful.…”
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Image Target Detection and Recognition Method Using Deep Learning by Hongyan Sun

“…However, the existing methods had poor robustness; they not only had high error rate of target recognition but also had high dependence on parameters, so they were limited in application. …”
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APPLICATION OF ALTERNATIVE APPROACHES IN CALCULATING A VALUE OF LAND UNDER A RESIDENTIAL BUILDING TO INCREASE THE RELIABILITY OF THE CADASTRE ASSESSMENT by S. Zenchenko, Y. Radyukova, V. Sutyagin

“…This article is devoted to the methodological substantiation of the use of an alternative method for calculating the value of land in a single real estate object in conditions of a lack of initial information necessary for the implementation of the traditional methodology of comparative sales. As part of the research, using regression analysis, 10 different factor models for calculating the share of land and recommendations for their use were given. …”
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Investigating the Role of Fisheries Production on Indonesia’s Economic Growth: Long-Run and Short-Run Analysis by PUTRI RIZKA CITANINGATI, SRI HERIANINGRUM

“…This is necessary because seafood products have great benefits, especially in fulfilling the nutritional needs for the population. This research was based on the time series data of uses an explanatory quantitative approach with the vector error correction model (VECM) analysis technique. …”
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Low-Light Image Enhancement via New Intuitionistic Fuzzy Generator-Based Retinex Approach by M. S. Ragavendirane, S. Dhanasekar

“…In order to address this type of situation, the current research offers an innovative approach to enhancing image quality. …”
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Prediction of SDG 6.2 Achievement in Indonesia Using Double Exponential Smoothing by Nazwa Nabila, Adhitia Erfina, Cecep Warman

“…This research aims to forecast Indonesia’s progress in achieving Sustainable Development Goal (SDG) 6.2, which targets 100% access to adequate sanitation and elimination of open defecation (OD) by 2030. …”
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Automated Soma Detection in Whole-Brain Imaging via Post-Tracing Multi-Furcation Morphometry by Gu Xiaoqin

“…A critical step in this process is the detection of somas in 3D brain images, which remains a challenge due to the complex structure of the brain and the large amount of whole brain imaging data [1]. Despite decades of research, automated soma detection methods continue to struggle with difficulties arising from non-spherical soma morphology, imaging artifacts, and variability in fluorescence labelling [2]. …”
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Advancing Geotechnical Evaluation of Wellbores: A Robust and Precise Model for Predicting Uniaxial Compressive Strength (UCS) of Rocks in Oil and Gas Wells by Mohammadali Ahmadi

“…Moreover, this study lays a foundation for further research in drillability-centred predictive modelling for geotechnical parameters, advancing our understanding of rock behaviour under drilling conditions.…”
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Localization of Basicranium Midline by Submentovertex Projection for the Evaluation of Condylar Asymmetry by Michele Maglione, Fulvia Costantinides

“…The purpose of this research was to compare the reliability of two different methods for cranial midline localization through cephalometric analysis of mandibular condyle asymmetries. …”
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Analyzing the Causes of Fire Accidents and Prevention Strategies in Pakistan: Exploring Mitigation Measures by Ghulam Nasir, Waheed Asghar, Sohail Anwar

“… Abstract:  Fire Incidents in commercial markets situation substantial risks to life, economic stability and property. This research aims to explore the causes of fire incidents in Pakistan occurring in commercial markets and intends to find effective remedies for mitigating such cases. …”
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3D Sight Distance Calculation and Estimation of its Effect on Road Accidents in GIS Environment by Ali Sahaf, Mostafa Mohammadi, Ali Abdoli

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Lateral vibration estimation of an elevator rope by sequential modal decomposition of elevator rope displacement observed near the traction sheave by Daisuke TAINAKA, Nanako MIURA, Keito SUMIDA, Arata MASUDA

“…Thus, this study provides a real-time estimation of the elevator rope vibration. In previous research, real-time estimation is performed by installing multiple sensors in the elevator shaft. …”
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Neutrosophic Mean Estimators Using Extreme Indeterminate Observations in Sample Surveys by Vinay Kumar Yadav, Deepak Majhi, Alia A. Alkhathami, Shakti Prasad

“…In classical statistics, research typically relies on precise data to estimate the population mean, especially when auxiliary information is available. …”
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Prediction of China’s Polysilicon Prices: A Combination Model Based on Variational Mode Decomposition, Sparrow Search Algorithm and Long Short-Term Memory by Jining Wang, Lin Jiang, Lei Wang

“…The VMD–SSA–LSTM combination model is constructed to predict polysilicon prices, which is based on Variational Mode Decomposition (VMD) and utilizes the Sparrow Search Algorithm (SSA) to optimize the Long Short-Term Memory (LSTM) network. The research shows that decomposing the original polysilicon time series using the VMD algorithm effectively extracts the main features of polysilicon price data, reducing data instability. …”
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Higher-Dimensional Communications Using Multimode Fibers and Compact Components to Enable a Dense Set of Communicating Channels by Daniel A. Nolan

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Numerical Simulation Study on the Impedance of the Communication Port of Liquid Launch Vehicle Gas-Filled Accumulators by Tong Shi, Guozhu Liang, Yunqin He

“…The impedance calculation formulae given in this research can be used in the engineering design of the gas-filled accumulators.…”
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A Dual Grid Collaborative Navigation Method and Computer Simulation Based on Data Link by Li Yongfeng, Hao Xiuqiang, Wu Zhenguo, Wu Gang, Guo Chubing

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