A Probability Integral Parameter Inversion Method Integrating a Selection-Weighted Iterative Robust Genetic Algorithm by Chuang Jiang, Wei Liu, Lei Wang, Xu Zhu, Hao Tan

“…In response to these issues, a probability integral parameter inversion method is proposed in this study that integrates a selection-weighted iterative robust genetic algorithm. This method combines the selection-weighted iteration method with a genetic algorithm to determine the weights of different observation values, and then a probability integral parameter inversion method is constructed for the fusion selection-weighted iterative robust GA. …”
Get full text

The Pseudoinverse Gradient Descent Method with Eight Branch Directions (8B-PGDM): An Improved Dead Reckoning Algorithm Based on the Local Invariance of Navigation by Jialong Gao, Quan Liu, Hanqiang Deng, Lei Sun, Jian Huang, Ming Lei

Get full text

Iterative segmentation and classification for enhanced crop disease diagnosis using optimized hybrid U-Nets model by Malathi Chilakalapudi, Sheela Jayachandran

Get full text

A research on low-earth-orbit signal-of-opportunity interference suppression algorithm based on adaptive signal iterative subspace projection technique by Lihao Yao, Lihao Yao, Bin Fan, Honglei Qin, Deyong Xian, Boyun Gu, Hai Sha, Gangqiang Guan, Zhijun Liu, Donghan He, Liwei Zhang

“…In this paper, we utilize the generalized periodicity of PFM interference signals and the characteristics of LEO constellation signals to propose an Adaptive Signal Iterative Projection and Interference Suppression (ASIPIS) algorithm. …”
Get full text

Direction of Arrival (DOA) Estimation Using a Deep Unfolded Learned Iterative Shrinkage Thresholding Algorithm (LISTA) Network in a Non-Uniform Metasurface by Xinyi Niu, Xiaolong Su, Lida He, Guanchao Chen

“…Additionally, a deep unfolded Learned Iterative Shrinkage Thresholding Algorithm (LISTA) network is constructed by transforming Iterative Shrinkage Thresholding Algorithm (ISTA) iterative steps into trainable neural network layers, combining model-driven logic with data-driven parameter optimization. …”
Get full text

Full genome virus detection in fecal samples using sensitive nucleic acid preparation, deep sequencing, and a novel iterative sequence classification algorithm. by Matthew Cotten, Bas Oude Munnink, Marta Canuti, Martin Deijs, Simon J Watson, Paul Kellam, Lia van der Hoek

Get full text

Model-Based Adaptive Iterative Hard Thresholding Compressive Sensing in Sensor Network for Volcanic Earthquake Detection by Guojin Liu, Qian Zhang, Yuyuan Yang, Zhenzhi Yin, Bin Zhu

“…Secondly, a compressive sensing reconstruction algorithm with theoretical analysis of its error bound is presented. …”
Get full text

Robust sparse smooth principal component analysis for face reconstruction and recognition. by Jing Wang, Xiao Xie, Li Zhang, Jian Li, Hao Cai, Yan Feng

“…Consequently, the proposed RSSPCA algorithm generally outperforms existing algorithms in face reconstruction and recognition. …”
Get full text

A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation by Yongli Hu, Mingquan Zhou, Zhongke Wu

“…We present a new point matching method to overcome the dense point-to-point alignment of scanned 3D faces. Instead of using the rigid spatial transformation in the traditional iterative closest point (ICP) algorithm, we adopt the thin plate spline (TPS) transformation to model the deformation of different 3D faces. …”
Get full text

Person centered care for primary ovarian insufficiency: developing and testing patient-facing materials co-created with patients by Elizabeth S. Blocker, Isabella R. McDonald, Elizabeth A. Weyman, Dana L. Jarvis, Joni Bryce, Corrine K. Welt, Corrine K. Welt, Andrew A. Dwyer, Andrew A. Dwyer

“…Scores >80% in PEMAT-P domains were considered ‘high quality’.ResultsCo-creation involved three iterative rounds of development. Readability algorithms indicated PEM were ‘fairly easy to read’ for 11- to 13-year-olds (i.e., 7th grade reading level). …”
Get full text

Research on γ Spectrum Reconstruction Based on Mi-Gold Algorithm by LIANG Wenchao1, 2, ZHANG Jiangmei2, WANG Jiaqi1, 2

“…To address the challenges faced by the Gold algorithm in reconstructing the low-energy resolution γ spectrum, such as the high number of iterations and the low counting rate for weak peaks, an iterative algorithm framework based on the Gold reconstruction algorithm was presented and it was extended to three novel iterative algorithms. …”
Get full text

The Path Planning of Mobile Robots Based on an Improved Genetic Algorithm by Zheng Zhang, Haobo Yang, Xusheng Bai, Shuo Zhang, Chaobin Xu

“…In the field of mobile robot path planning, traditional genetic algorithms face issues such as slow convergence, lack of dynamic adaptability, and uncertain mutation directionality. …”
Get full text

Investigation, Optimization of Energy Consumption and Yield Modeling of Two Paddy Cultivars with Genetic-Artificial Bee Colony Algorithm by S. Sharifi, N. Hafezi, M. H. Aghkhani

“…Therefore, this study aimed to analyze energy consumption and production, as well as model and optimize the yield of two paddy cultivars using Artificial Bee Colony (ABC) and Genetic Algorithms (GA).Materials and MethodsExtensive research data was collected by thoroughly examining documentary and library resources, as well as conducting face-to-face questionnaires with 120 paddy farmers and farm owners in Rezvanshahr city, located in the province of Guilan, Iran, during the 2019-2020 production year. …”
Get full text

Helium retention feature in the boron deposited layer on tungsten substrate by laser-induced breakdown spectroscopy and machine learning approach by Muhammad Amir Shabbir, Ran Hai, Zhonglin He, Zehua Liu, Fahad Rehman, Xue Bai, Jianping Mu, Ding Wu, Cong Li, Hongbin Ding

“…ITER is designed for a burning plasma operation in which Tungsten (W) tiles are used as the first wall and diverter materials. …”
Get full text

A Linear Fitting Algorithm Based on Modified Random Sample Consensus by Yujin Min, Yun Tang, Hao Chen, Faquan Zhang

“…When performing linear fitting on datasets containing outliers, common algorithms may face problems like inadequate fitting accuracy. …”
Get full text

Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

“…Each step of the algorithm has an explicit solution. Simulation experiments have verified the correctness and effectiveness of this method. …”
Get full text

Accuracy and robustness evaluation of deep learning algorithms in facial recognition systems by Jing Zhang, Ningyu Hu

“…To solve the high cost and low accuracy in facial recognition system, a facial recognition system based on deep learning algorithm is designed in this paper. First, the YOLO model is improved by introducing the EfficientNet to enhance the performance of the facial detection model. …”
Get full text

Optimizing Lattice Basis Reduction Algorithm on ARM V8 Processors by Ronghui Cao, Julong Wang, Liming Zheng, Jincheng Zhou, Haodong Wang, Tiaojie Xiao, Chunye Gong

“…However, current LLL algorithms face challenges such as inadequate adaptation to domestic supercomputers and low efficiency. …”
Get full text

Precise wind allocation scheme decision based on attraction-repulsion algorithm by NI Jingfeng, CHEN Dunwei, LIU Yujiao

“…To address the issue of fluctuating branch airflow in the ventilation system caused by changes in mine ventilation facilities and air network structure during underground production operations, which in turn leads to insufficient airflow at consumption points, a precise wind allocation algorithm based on the Attraction-Repulsion Optimization Algorithm (AROA) is proposed. …”
Get full text

Developing an efficient algorithm for robust school bus routing with heterogeneous fleet by Mohamad Ali Movafaghpour

“…Purpose: In many real-world optimization problems, we are facing uncertainties in parameters describing the problem. …”
Get full text