Suggested Topics within your search.
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41
A simplified 3D finite difference method for electromagnetic logging while drilling simulation in symmetrical models
Published 2025-04-01“…Fast and accurate simulation of EM LWD is essential for optimizing tool parameters and data processing. As the depth of investigation increases, EM LWD simulation and inversion in complex geological structures become more important, while the computational cost of three-dimensional (3D) simulations remains a major challenge. …”
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42
End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling
Published 2025-06-01“…It also provides a corresponding solution method. Initially, a bi-level optimization framework is established. …”
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43
An interior proximal gradient method for nonconvex optimization
Published 2024-07-01“…We consider structured minimization problems subject to smooth inequality constraints and present a flexible algorithm that combines interior point (IP) and proximal gradient schemes. While traditional IP methods cannot cope with nonsmooth objective functions and proximal algorithms cannot handle complicated constraints, their combined usage is shown to successfully compensate the respective shortcomings. …”
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44
Facial Expression Detector While Driving
Published 2024-02-01“…The test results show that the system can detect drowsiness optimally. With the existence of this tool, it is hoped that it can reduce the death rate due to traffic accidents by preventing the driver from experiencing the sleep phase while driving.…”
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45
Multimodal representative answer extraction in community question answering
Published 2023-10-01“…The improved Beluga whale optimization algorithm (MTRL-BWO), based on tent mapping, reinforcement learning, and multiple swarm strategy, is designed to increase the diversity of the population while avoiding local optima to improve the search capability and solution accuracy of the algorithm. …”
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46
Three-Dimensional Path Planning for Unmanned Aerial Vehicles Based on Hybrid Multi-Strategy Dung Beetle Optimization Algorithm
Published 2025-05-01“…To validate the effectiveness of HMSDBO, this study compares its performance with that of the Adaptive Chaotic Gray Wolf Optimization Algorithm (ACGWO), Primitive Dung Beetle Optimization Algorithm (DBO), Whale Optimization Algorithm (WOA), Crayfish Optimization Algorithm (COA), and Hyper-Heuristic Whale Optimization Algorithm (HHWOA) in complex agricultural UAV environments. …”
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47
A quantum-enhanced heuristic algorithm for optimizing aircraft landing problems in low-altitude intelligent transportation systems
Published 2025-07-01“…This study presents an Quantum-Enhanced Whale Optimization Algorithm (QEWOA) that incorporates quantum computing to tackle these challenges. …”
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48
An Incentive Dynamic Programming Method for the Optimization of Scholarship Assignment
Published 2018-01-01“…The objective is to find the optimal scholarship assignment scheme with the highest equity while accounting for both the practical constraints and the equity requirement. …”
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49
METHOD OF QUALIFICATION ESTIMATION AND OPTIMIZATION OF PROFESSIONAL TEAMS OF PROGRAMMERS
Published 2018-08-01“…The problem of building and optimizing the teams of programmers taking into account the qualification and the level of skills in programming technologies and tools is considered. …”
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50
To select the optimal immunohistochemical staining method for pigmented melanoma
Published 2025-08-01“…For lightly pigmented melanoma, bleached with 5% H2O2 method optimally balanced tissue preservation and staining reliability. …”
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51
Determination of the optimal method for measuring malondialdehyde in human saliva
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52
Which localization method is optimal in ESWL: fluoroscopy or ultrasonography?
Published 2025-02-01Get full text
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53
APPLICATION OF QUADRATIC PROGRAMMING ON PORTFOLIO OPTIMIZATION USING WOLFE’S METHOD AND PARTICLE SWARM OPTIMIZATION ALGORITHM
Published 2024-05-01“…Quadratic programming problems can be solved using two methods, namely classical and heuristic methods. In this research, the classical method uses Wolfe’s method, while the heuristic method uses the particle swarm optimization (PSO) algorithm. …”
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54
Size optimization method of the Watt-II six-bar mechanism based on particle swarm optimization
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55
Research on Springback Compensation Method of Roll Forming Based on Improved Fuzzy PID Control
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56
Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images
Published 2025-03-01“…This research presents an Optimizing Cancer Detection using whale optimizer with Deep Learning in Colon and Lung Cancer (OCDWO-DLCLC) model on Biomedical Images. …”
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57
Enhancing Environmental DNA Sampling Efficiency for Cetacean Detection on Whale Watching Tours
Published 2025-05-01“…However, eDNA research is still evolving, with ongoing efforts to optimize field sampling and laboratory protocols. Building on the challenges of conventional monitoring methods, this study sought to refine eDNA sampling parameters to offer a more efficient and scalable approach for cetacean research, leveraging citizen science platforms. …”
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58
Optimization of in vivo delivery methods and their applications in seminiferous tubules of mice
Published 2025-08-01“…Abstract This study aims to explore and optimize the conditions for in vivo transfection and gene editing, emphasizing their potential applications in the treatment of infertility in mice. …”
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59
The Bregman Modified Second APG Method for DC Optimization Problems
Published 2025-01-01“…However, most of these methods typically require the L-smoothness property of the objective function; without this condition, the optimization process may exhibit slow convergence or even fail to converge. …”
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60
PRE-EMPTIVE GOAL PROGRAMMING METHOD FOR OPTIMIZING PRODUCTION PLANNING
Published 2023-04-01“…In this paper the mathematical modelling of production planning is put forward using the pre-emptive goal programming method for priority based decision making. The objective of this problem is to design production planning satisfying the specified constraints while minimizing deviations from each goal to be achieved. …”
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