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Ensemble multi-attribute decision-making for material selection problems Soft Comput. (IF 4.1) Pub Date : 2024-03-01 Mehmet Şahin
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Grey wolf optimization algorithm-based PID controller for frequency stabilization of interconnected power generating system Soft Comput. (IF 4.1) Pub Date : 2024-03-01 K. Jagatheesan, D. Boopathi, Sourav Samanta, B. Anand, Nilanjan Dey
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Prediction of service time for home delivery services using machine learning Soft Comput. (IF 4.1) Pub Date : 2024-03-01 Jan Wolter, Thomas Hanne
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Stochastic operating room scheduling: a new model for solving problem and an approach for determining the factors that affect operation time variations Soft Comput. (IF 4.1) Pub Date : 2024-03-01 Şeyda Gür, Hacı Mehmet Alakaş, Mehmet Pınarbaşı, Tamer Eren
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A non-linear generalization of optimization problems subjected to continuous max-t-norm fuzzy relational inequalities Soft Comput. (IF 4.1) Pub Date : 2024-03-01 Amin Ghodousian, Babak Sepehri Rad, Oveys Ghodousian
Abstract Recently, the latticized linear programming problems subjected to max–min and max-product fuzzy relational inequalities (FRI) have been studied extensively and have been utilized in many interesting applications. In this paper, we introduce a new generalization of the latticized optimization problems whose objective is a non-linear function defined by an arbitrary continuous s-norm (t-conorm)
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Evolutionary algorithm with a regression model for multiobjective minimization of systemic risk in financial systems Soft Comput. (IF 4.1) Pub Date : 2024-03-01 Krzysztof Michalak
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An efficacious neural network and DNA cryptography-based algorithm for preventing black hole attacks in MANET Soft Comput. (IF 4.1) Pub Date : 2024-03-01
Abstract Today, more than ever, the necessity for remote availability, independent of a client’s location, is driving the popularity of remote systems. WiFi, Bluetooth, and GPRS are just a few of the wireless technologies that have facilitated the widespread availability of the internet on mobile phones, PDAs, laptops, and other portable electronic devices, and the ease with which users may exchange
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An optimized radial basis function neural network with modulation-window activation function Soft Comput. (IF 4.1) Pub Date : 2024-03-01 Haijun Lin, Houde Dai, Yihan Mao, Lucai Wang
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Joint entity and relation extraction model based on directed-relation GAT oriented to Chinese patent texts Soft Comput. (IF 4.1) Pub Date : 2024-02-08 Yushan Zhao, Kuan-Ching Li, Tengke Wang, Shunxiang Zhang
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A supply chain of a coastal biomass incorporating fuzzy deterioration and freshness under dynamic unit price Soft Comput. (IF 4.1) Pub Date : 2024-02-08 Rumpa Sau, Chayan Ranjit, Manas Kumar Maiti
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Utilizing heuristic strategies for predicting the backbreak occurrences in open-pit mines, Gol Gohar Mine, Iran Soft Comput. (IF 4.1) Pub Date : 2024-02-08 Parviz Sorabi, Mohammad Ataei, Mohammad Reza Alimoradi Jazi, Hesam Dehghani, Jamshid Shakeri, Mohammad Hosein Habibi
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A hybrid traffic controller system based on flower pollination algorithm and type-2 fuzzy logic optimized with crow search algorithm for signalized intersections Soft Comput. (IF 4.1) Pub Date : 2024-02-07 Ersin Korkmaz, Ali Payıdar Akgüngör
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A two-stage entity event deduplication method based on graph node selection and node optimization strategy Soft Comput. (IF 4.1) Pub Date : 2024-02-07
Abstract Entity event deduplication is the task of identifying all duplication entity events that have described the same entity within a set of events. However, the traditional entity event deduplication method has two challenges. First, the traditional method usually used global comparison when finding the duplication entity event, are all entity events in the dataset need to be compared, leading
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A fast computational technique based on a novel tangent sigmoid anisotropic diffusion function for image-denoising Soft Comput. (IF 4.1) Pub Date : 2024-02-07
Abstract A crucial aspect of contemporary image processing systems is image denoising. The anisotropic diffusion function is a feature of the partial differential equation employed for the purpose of noise reduction and the preservation of image characteristics such as edges. A new tangent sigmoid diffusion coefficient and a new adaptive threshold parameter have been proposed in this work, which leads
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TCNet: tensor and covariance attention network for semantic segmentation Soft Comput. (IF 4.1) Pub Date : 2024-02-06 Haixia Xu, Yanbang Liu, Wei Wang, Wei Zhou, Fanxun Ding, Feng Han, Wei Peng
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Trapezoidal fully fuzzy Sylvester matrix equation with arbitrary coefficients Soft Comput. (IF 4.1) Pub Date : 2024-02-06 Ahmed Abdelaziz Elsayed, Nazihah Ahmad, Ghassan Malkawi
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Inference for multicomponent stress–strength reliability based on unit generalized Rayleigh distribution Soft Comput. (IF 4.1) Pub Date : 2024-02-06
Abstract This paper considers the problem of making inference for a multicomponent stress–strength (MSS) model under Type-II censoring. It is assumed that stress–strength components of the multicomponent system follow unit generalized Rayleigh (UGR) distributions. Inferences are derived when the strength and stress have a common unknown UGR parameters. We derive maximum likelihood estimator of MSS
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Modelling an efficient hybridized approach for facial emotion recognition using unconstraint videos and deep learning approaches Soft Comput. (IF 4.1) Pub Date : 2024-02-06 P. Naga Bhushanam, S. Selva Kumar
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Optimization algorithms for the k edge-connected L-hop-constrained network design problem Soft Comput. (IF 4.1) Pub Date : 2024-02-05
Abstract In this paper, we study the k edge-connected L-hop-constrained network design problem. Given a weighted graph \(G = (V,E)\) , a set D of pairs of nodes, two integers \(L \ge 2\) and \(k \ge 2\) , the problem consists in finding a minimum weight subgraph of G containing at least k edge-disjoint paths of length at most L between every pair \(\{s,t\}\) of D. The problem has several applications
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Class imbalance data handling with optimal deep learning-based intrusion detection in IoT environment Soft Comput. (IF 4.1) Pub Date : 2024-02-05 Manohar Srinivasan, Narayanan Chidambaram Senthilkumar
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Improved frequency regulation in smart grid system integrating renewable sources and hybrid energy storage system Soft Comput. (IF 4.1) Pub Date : 2024-02-03 Mrinal Ranjan, Ravi Shankar
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Analyzing threat flow over network using ensemble-based dense network model Soft Comput. (IF 4.1) Pub Date : 2024-02-03 U. Harita, Moulana Mohammed
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Pain detection through facial expressions in children with autism using deep learning Soft Comput. (IF 4.1) Pub Date : 2024-02-03 P. V. K. Sandeep, N. Suresh Kumar
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A generalized parametric approach for solving different fuzzy parameter based multi-objective transportation problem Soft Comput. (IF 4.1) Pub Date : 2024-02-01 Yadvendra Kacher, Pitam Singh
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Lifetime maximization of wireless sensor networks while ensuring intruder detection Soft Comput. (IF 4.1) Pub Date : 2024-02-01 Muhammed Fatih Çorapsız
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A multiple features fusion-based social network node importance measure for rumor control Soft Comput. (IF 4.1) Pub Date : 2024-02-01 Yu-Cui Wang, Jian Wang, Meng-Jie Huang, Gui-Ming Yu, Zhang-Quan Wang, Shi-Yuan Guo, Jian Yang
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Design of a novel panoptic segmentation using multi-scale pooling model for tooth segmentation Soft Comput. (IF 4.1) Pub Date : 2024-02-01 Pulipati Nagaraju, S. V. Sudha
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A performance analysis of step-voltage and step-duty size-based MPPT controller used for solar PV applications Soft Comput. (IF 4.1) Pub Date : 2024-02-01 Indresh Yadav, Sulabh Sachan, Fatemeh Gholian-Jouybari, Sanjay Kumar Maurya, Mostafa Hajiaghaei-Keshteli
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Classification of yoga, meditation, combined yoga–meditation EEG signals using L-SVM, KNN, and MLP classifiers Soft Comput. (IF 4.1) Pub Date : 2024-02-01
Abstract In this study, we compare the classification accuracy achievable with linear support vector machine (L-SVM), K-nearest neighbor (KNN), and multilayer perceptron (MLP) methods for a multi-class EEG signal. This can be done in three phases. In phase one, band-pass filtering is applied to raw electroencephalogram (EEG) signals to decompose into five different frequency subbands. In phase two
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Towards an open university based on machine learning for the teaching service support system using backpropagation neural networks Soft Comput. (IF 4.1) Pub Date : 2024-01-31
Abstract The combination of information technology and machine learning fuels the rapid evolution of today's educational landscape. Revolutions in both fields and a common goal of improving education drive this transformative journey. In a time when resources and information are more readily available than ever, traditional teaching strategies are changing to include digital tools that meet the various
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Symmetric key and polynomial-based key generation mechanism for secured data communications in 5G networks Soft Comput. (IF 4.1) Pub Date : 2024-01-31 S. Pradeep, S. Muthurajkumar, Sannasi Ganapathy, A. Kannan
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Recycling of waste materials based on decision support system using picture fuzzy Dombi Bonferroni means Soft Comput. (IF 4.1) Pub Date : 2024-01-30 Abrar Hussain, Xiaoya Zhu, Kifayat Ullah, Tehreem, Dragan Pamucar, Muhammad Rashid, Shi Yin
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A hybrid metaheuristic assisted collateral fractional-order controller for three-phase solar PV, BESS, and wind- integrated UPQC Soft Comput. (IF 4.1) Pub Date : 2024-01-30 Shravan Kumar Yadav, Krishna Bihari Yadav
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Evaluating the performance of athletes in various sports using data mining and big data analytics Soft Comput. (IF 4.1) Pub Date : 2024-01-30
Abstract Sports effect evaluation is the main module of modern information construction. To improve the accuracy of sports effect evaluation and enhance the training level of athletes, this paper aims to conduct in-depth research on sports effect evaluation based on feature selection under the background of big data. Firstly, a sports evaluation system is designed based on the Window Presentation Foundation
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Few-detail image encryption algorithm based on diffusion and confusion using Henon and Baker chaotic maps Soft Comput. (IF 4.1) Pub Date : 2024-01-29 Ensherah A. Naeem, Anand B. Joshi, Dhanesh Kumar, Fathi E. Abd El-Samie
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Evaluating the ecological environmental quality of rural tourism using the analytical hierarchy process Soft Comput. (IF 4.1) Pub Date : 2024-01-29 Rong Mei
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Coupling of SME innovation and innovation in regional economic prosperity with machine learning and IoT technologies using XGBoost algorithm Soft Comput. (IF 4.1) Pub Date : 2024-01-29 Dan Wang, Yina Zhang
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Leveraging ensemble learning for stealth assessment model with game-based learning environment Soft Comput. (IF 4.1) Pub Date : 2024-01-29 Dineshkumar Rajendran, Prasanna Santhanam
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Establishing a soil carbon flux monitoring system based on support vector machine and XGBoost Soft Comput. (IF 4.1) Pub Date : 2024-01-29
Abstract Soil carbon fluxes are pivotal indicators of climate impacts, yet field-level monitoring remains challenging. This study puts forth an innovative integrated framework coupling support vector machine (SVM) and XGBoost algorithms to enable automated, precise tracking of peat soil carbon dioxide emissions. The core methodology handles a multi-dimensional dataset encompassing 72-h flux measurements
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Lebesgue decomposition type theorems for weakly null-additive functions on D-posets Soft Comput. (IF 4.1) Pub Date : 2024-01-29 Mona Khare, Anurag Shukla, Pratibha Pandey
In the present paper, we have developed the theory of weak null-additivity and absolute continuity in the realm of nonadditive measures on difference posets, and afterward proved two variants of the Lebesgue decomposition theorem in the context. A number of examples are constructed to illustrate the theory.
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The impact of economic and IoT technologies on air pollution: an AI-based simulation equation model using support vector machines Soft Comput. (IF 4.1) Pub Date : 2024-01-29 Wei Dang, Soobong Kim, SungJun Park, Wenyan Xu
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Least absolute deviations estimation for uncertain autoregressive moving average model with application to CO2 emissions Soft Comput. (IF 4.1) Pub Date : 2024-01-29
Abstract Based on the previous observations, uncertain time series analysis provides plausible description for experimental data, and predicts future values by characterized observations and disturbance as uncertain variables under the framework of uncertainty theory. Sometimes, the current observation is simultaneously impacted by the past observations and past disturbance terms. Uncertain autoregressive
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The probabilistic hesitant fuzzy TOPSIS method based on the regret theory and its application in investment strategy Soft Comput. (IF 4.1) Pub Date : 2024-01-29 Chenyang Song, Zeshui Xu, Jian Hou, Jianchao Ji
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A novel human-inspirited collectivism teaching–learning-based optimization algorithm with multi-mode group-individual cooperation strategies Soft Comput. (IF 4.1) Pub Date : 2024-01-29 Zhixiang Chen
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Optimal planning and operation of power grid with electric vehicles considering cost reduction Soft Comput. (IF 4.1) Pub Date : 2024-01-29 Tao Hai, Muammer Aksoy, Mehrdad Khaki
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Modelling a dense hybrid network model for fake review analysis using learning approaches Soft Comput. (IF 4.1) Pub Date : 2024-01-29 A. Srisaila, D. Rajani, M. V. D. N. S. Madhavi, X. S. Asha Shiny, K. Amarendra
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Assessment of suppliers through the resiliency and sustainability paradigms using a new MCDM model under interval type-2 fuzzy sets Soft Comput. (IF 4.1) Pub Date : 2024-01-28 Elyas Nemati
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Mean–standard-deviation-based electric vehicle routing problem with time windows using Lagrangian relaxation and extended alternating direction method of multipliers-based decomposition algorithm Soft Comput. (IF 4.1) Pub Date : 2024-01-28
Abstract In response to the challenges of global warming to sustainable development, electric vehicles (EVs) have become an important part of the supply chain. Numerous studies have focused on the electric vehicle routing problem with time windows (EVRPTW) to design an optimal routing plan for EVs and meet customers’ demands within th e specified time windows. However, most studies have been conducted
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Influence of Hall and Slip on MHD Reiner-Rivlin blood flow through a porous medium in a cylindrical tube Soft Comput. (IF 4.1) Pub Date : 2024-01-28 M. Yasin, S. Hina, R. Naz
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The environmental Kuznets curve hypothesis: an ML approach to assessing economic growth and environmental sustainability using artificial neural network Soft Comput. (IF 4.1) Pub Date : 2024-01-27 Yunqiu Sun, Zhiyu Sun, Zhiman Jiang
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Information literacy of college students from library education in smart classrooms: based on big data exploring data mining patterns using Apriori algorithm Soft Comput. (IF 4.1) Pub Date : 2024-01-27 Si Chen, Ying Xue, Xiangzhe Cui
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Fault identification of product design using fuzzy clustering generative adversarial network (FCGAN) model Soft Comput. (IF 4.1) Pub Date : 2024-01-27
Abstract In modern industrial settings, the datasets available for mechanical fault diagnosis are often limited in size and exhibit significant imbalance posing a challenge to both the accuracy and stability of diagnostic processes. A particularly difficult task is the detection and localization of surface defects in textured materials. The complexity arises due to variable textures and the frequent
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Performance evaluation model for operation research teaching based on IoT and Bayesian network technology Soft Comput. (IF 4.1) Pub Date : 2024-01-27 Linjun Kong
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Green roofs and their effect on architectural design and urban ecology using deep learning approaches Soft Comput. (IF 4.1) Pub Date : 2024-01-27
Abstract In recent years, the rapid development of the world’s economy has led to the large-scale development and utilization of ecological resources on the earth, due to which the ecological environment has been continuously and seriously damaged, resulting in the waste of resources, soil erosion, land desertification, etc. To avoid further damage to the ecological environment and ecological resources
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Stock market forecasting using deep learning with long short-term memory and gated recurrent unit Soft Comput. (IF 4.1) Pub Date : 2024-01-27 E. T. Sivadasan, N. Mohana Sundaram, R. Santhosh
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Establishing enterprise information management platform using cloud storage technology under e-commerce environment Soft Comput. (IF 4.1) Pub Date : 2024-01-27 Lei Wang
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A multi-UAV assisted non-orthogonal multiple access based relay system for minimal average receiving rate maximization Soft Comput. (IF 4.1) Pub Date : 2024-01-26 Qiang Tang, Xinyu Qu, Jin Wang, Shiming He
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Sag-flownet: self-attention generative network for airfoil flow field prediction Soft Comput. (IF 4.1) Pub Date : 2024-01-25 Xiao Wang, Yi Jiang, Guanxiong Li, Laiping Zhang, Xiaogang Deng
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Can a new national system policy for science and technology promote industrial restructuring in China’s national innovation center cities? Soft Comput. (IF 4.1) Pub Date : 2024-01-25 Zhendong Song, Geni Xu, Bing Jiao
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Virtual reality and ANN-based three-dimensional tactical training model for football players Soft Comput. (IF 4.1) Pub Date : 2024-01-25
Abstract In sports such as football, baseball, basketball, and tennis, advanced technologies like artificial intelligence (AI), machine learning (ML), and virtual reality (VR) have opened up new opportunities for training simulation and data analysis. Recently, these technologies have been applied to football to better analyze team behavior and individual player behavior. The existing work, however