Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology by behnam golshahi, Abbasli Rastgar, Davood Feiz, Azim Zarei

“…Finally, based on the hybrid algorithm of the methodology of soft systems and cognitive mapping, a model of the factors contributing to the optimization of the talent life cycle is presented and then, by comparing the factors in thinking system (conceptual model) with real-world actions (INEF), it is suggested that structural, behavioral, and ground changes be made to optimize the talent lifecycle at the National Elite Foundation.…”
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Optimizing drawing frame variables to enhance polyester spun yarn quality using soft computing techniques by Mohsen Rezahasani, Habib Amiri Savadroodbari, Milad Razbin, Majid Safar Johari

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Classification of Tropical Cyclone Tracks in the Northwest Pacific Based on the SD-K-Means Model by Nan Xu, Baisong Yang, Jia Ren

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Endpoint carbon content and temperature prediction model in BOF steelmaking based on posterior probability and intra-cluster feature weight online dynamic feature selection by Wang Haodong, Liu Hui, Chen FuGang, Li Heng, Xue XiaoJun

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A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…In this work, we consider a combination of expert knowledge and data learning methods. In our algorithm, the hard constraints are derived from highly reliable expert knowledge, and some conditional independent information is mined by feature selection as a soft constraint. …”
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Study on the SOVA decoding algorithm for Turbo codes based on modified path-metric by LIU Xing-cheng, ZHU Zhi

Subjects: “…Turbo codes;soft output Viterbi algorithm;iterative decoding;path-metric;depth of decoding trellis…”
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Study on the SOVA decoding algorithm for Turbo codes based on modified path-metric by LIU Xing-cheng, ZHU Zhi

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Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives by Simarjeet Kaur, Jimmy Singla, Lewis Nkenyereye, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, Shaker El-Sappagh, Md. Saiful Islam, S. M. Riazul Islam

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A MAGDM ALGORITHM FOR DECISION-MAKING PROBLEMS ON FUZZY SOFT SETS USING A COEFFICIENT CORRELATION AND AN ENTROPY MEASURE FOR DETERMINING THE WEIGHT OF PARAMETERS by Latifa Khairunnisa, Admi Nazra, Izzati Rahmi HG

“…Therefore, the concept of correlation coefficient must be developed on the fuzzy sets and the fuzzy soft sets environment. In this study, a decision-making algorithm was designed on fuzzy soft sets using the concept of the correlation coefficient. …”
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Extensive scalp soft-tissue reconstruction with free flaps: A simplified therapeutic algorithm for donor site selection based on a retrospective analysis by Raúl Martínez Peral, Josep Oriol Roca Mas, Gonzalo Joaquín Soroa Moreno, Adela Álvarez Río, Antonio Ansó Jiménez, Daniel Navarro Sánchez, Ivan Monge Castresana, Jaime Estrada Cuxart

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Cross-scale correlation analysis of water-induced deterioration on soft rock in coal mine underground reservoir engineering based on deep learning algorithm by Hao Liu, Zenghui Zhao, Qing Ma, Jiaze Du, Xiaoli Liu

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RLS adaptive filter co-design for de-noising ECG signal by Ahlam Fadhil Mahmood, Safaa N. Awny, Ali Alameer

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Constant force grinding controller for robots based on SAC optimal parameter finding algorithm by Chosei Rei, Qichao Wang, Linlin Chen, Xinhua Yan, Peng Zhang, Liwei Fu, Chong Wang, Xinghui Liu

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Nighttime Vehicle Detection Algorithm Based on Improved YOLOv7 by Fan Zhang

“…Second, a lightweight efficient feature fusion network (GS-EFF) is constructed to optimize multi-scale feature alignment by combining the jump connection and GSConv modules to reduce the information loss in the feature fusion process and lower the number of parameters. The Soft-EloU-NMS post-processing algorithm is further proposed to effectively reduce the leakage detection rate of dense small targets by fusing the multi-dimensional evaluation of overlap, center distance and aspect ratio. …”
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An algorithmic multiple attribute decision-making context to model uncertainty associated with hospital site selection problem using complex sv-neutrosophic soft information by Khuram Ali Khan, Ali Asghar, Atiqe Ur Rahman, Rostin Matendo Mabela

“…This research introduces an advanced framework called a complex single-valued neutrosophic soft set (csvNSS) to address uncertainties inherent in decision-making. …”
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Analgesic treatment, by using a systemic algorithm by A. E. Karateev, L. I. Alekseeva

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Heuristic Algorithms for the Heterogeneous Vehicle Routing Problem With Time Windows, Customers Priority, Pickup and Delivery by Moayad Tanash, Rami As'Ad

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A SAR-based flood mapping approach: application of SAR-SIFT registration and modified DeepLabV3 segmentation in flood hazard assessment by Zhuoyu Zhang, Jiaqi Xiong, Xiang Li, Yu Li, Junrong Liu

“…By combining advanced georegistration, terrain-adaptive algorithms, and multi-source data fusion, this solution strengthens disaster response capabilities, offering robust real-time flood mapping and early warning systems for improved emergency management.…”
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Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput by Guo-qing JI, Gang WANG, Hong-bo ZHU

“…The achievable data throughput of the cognitive network was modeled to optimize the overhead and performance of the cooperative system thoroughly.Considering the soft data combination decision,the joint trade-off optimization of the local sampling number and cooperative user number was modeled based on the achievable data throughput.The global optimal solution was achieved with inexact line search algorithm,which is based on Armijo rule and lopsided search step technique.Consequently,the validity of the optimization model was verified both by the numerical computation and by Monte-Carlo simulation tests.The joint trade-off optimization of the sampling number and cooperative user number was achieved in cooperative sensing based on the throughput maximizing criterion.…”
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Low complexity hybrid iterative algorithm based signal detection in massive MIMO system by Shufeng ZHAO, Bin SHEN, Furong YANG

“…Among the uplink signal detection algorithms for massive MIMO systems,the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However,conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix,which makes it hard to implement in realistic applications.Based on joint steepest descent (SD) algorithm and Gauss-Seidel iteration,a low complexity hybrid iterative detection algorithm was proposed.The SD algorithm was employed to obtain an efficient searching direction for the following Gauss-Seidel to speed up convergence.Meanwhile,an approximated method was also proposed to compute the bit log-likelihood ratio (LLR) for soft channel decoding.Simulation results verify that the proposed algorithm can converge rapidly and achieve its performance quite close to that of the MMSE algorithm with only a small number of iterations.Meanwhile,the complexity is reduced by an order of magnitude,which is kept consistently of O(K ²).…”
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