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Applied Soft Computing, Volume 86
Volume 86, January 2020
- Behrooz Ghasemishabankareh
, Xiaodong Li
Probabilistic tree-based representation for solving minimum cost integer flow problems with nonlinear non-convex cost functions. - Gang Kou
Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods. - Matheus Henrique Dal Molin Ribeiro
Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series. - Hui Qu
Optimizing an integrated inventory-routing system for multi-item joint replenishment and coordinated outbound delivery using differential evolution algorithm. - Xindi Wang
Assessment of traffic congestion with ORESTE method under double hierarchy hesitant fuzzy linguistic environment. - Mohammed Aladeemy
New feature selection methods based on opposition-based learning and self-adaptive cohort intelligence for predicting patient no-shows. - Jnanendra Prasad Sarkar, Indrajit Saha
Machine learning integrated credibilistic semi supervised clustering for categorical data. - Sajjad Shoja-Majidabad
Decentralized adaptive neural network control of cascaded DC-DC converters with high voltage conversion ratio. - Haitong Zhao, Changsheng Zhang:
A decomposition-based many-objective artificial bee colony algorithm with reinforcement learning. - M. V. Srikanth, Narri Yadaiah:
Optimal parameter tuning of Modified Active Disturbance Rejection Control for unstable time-delay systems using an AHP combined Multi-Objective Quasi-Oppositional Jaya Algorithm. - Hossein Karimi
A fully fuzzy best-worst multi attribute decision making method with triangular fuzzy number: A case study of maintenance assessment in the hospitals. - Huiling Chen
An enhanced Bacterial Foraging Optimization and its application for training kernel extreme learning machine. - Atieh Gharib, Hadi Sadoghi Yazdi
Robust Heterogeneous C-means. - Boyang Qu, Chao Li
A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems. - M. A. H. Akhand
Discrete Spider Monkey Optimization for Travelling Salesman Problem. - Chengmao Wu, Yan Chen:
Adaptive entropy weighted picture fuzzy clustering algorithm with spatial information for image segmentation. - Biswajit Biswas, Swarup Kr Ghosh
Chest X-ray enhancement to interpret pneumonia malformation based on fuzzy soft set and Dempster-Shafer theory of evidence. - Yidong Chai, Hongyan Liu
A new convolutional neural network model for peripapillary atrophy area segmentation from retinal fundus images. - Marzieh Shaverdi, Saeed Yaghoubi
A multi-objective robust possibilistic model for technology portfolio optimization considering social impact and different types of financing. - Younes Ataei, Amin Mahmoudi
Ordinal Priority Approach (OPA) in Multiple Attribute Decision-Making. - Arman Goudarzi, Yanjun Li, Ji Xiang
A hybrid non-linear time-varying double-weighted particle swarm optimization for solving non-convex combined environmental economic dispatch problem. - Jellis Vanhoeyveld
Value-added tax fraud detection with scalable anomaly detection techniques. - Fan Cheng
Maximizing receiver operating characteristics convex hull via dynamic reference point-based multi-objective evolutionary algorithm. - Peide Liu
A new hesitant fuzzy linguistic approach for multiple attribute decision making based on Dempster-Shafer evidence theory. - Yu-Chun Lin, Shie-Jue Lee
Air quality prediction by neuro-fuzzy modeling approach. - Shan Jiang, Hua Shi, Wanlong Lin, Hu-Chen Liu
A large group linguistic Z-DEMATEL approach for identifying key performance indicators in hospital performance management. - Stefano Leonori
Optimization strategies for Microgrid energy management systems by Genetic Algorithms. - Sangmin Lee
Dynamic dispatching system using a deep denoising autoencoder for semiconductor manufacturing. - Shadi Sartipi, Hashem Kalbkhani
Stockwell transform of time-series of fMRI data for diagnoses of attention deficit hyperactive disorder. - Adeel Zafar
Search-based procedural content generation for GVG-LG. - Sohrab Sharifi
Consolidation assessment using Multi Expression Programming. - Swalpa Kumar Roy
Unconstrained texture classification using efficient jet texton learning. - Chao Wang
An angle based evolutionary algorithm with infeasibility information for constrained many-objective optimization. - Mohammad Esmaeilpour
Unsupervised feature learning for environmental sound classification using Weighted Cycle-Consistent Generative Adversarial Network. - Zhao-Hong Jia, Ya-jie Li, Kai Li, Huaping Chen
Weak-restriction bi-objective optimization algorithm for scheduling with rejection on non-identical batch processing machines. - Liang-Hsuan Chen
A new approach to formulate fuzzy regression models. - Jesús Cuenca-Jara, Fernando Terroso-Saenz
Classification of spatio-temporal trajectories from Volunteer Geographic Information through fuzzy rules. - Saeed Khankalantary
An adaptive constrained type-2 fuzzy Hammerstein neural network data fusion scheme for low-cost SINS/GNSS navigation system. - Wenyan Song
Human factors risk assessment: An integrated method for improving safety in clinical use of medical devices. - Yuanhang Chen, Gaoliang Peng, Zhiyu Zhu
A novel deep learning method based on attention mechanism for bearing remaining useful life prediction. - Tushar Semwal
A decentralized Artificial Immune System for solution selection in Cyber-Physical Systems. - Amit Kumar Sinha, Ankush Anand:
Optimizing supply chain network for perishable products using improved bacteria foraging algorithm. - Anwar Mahmoodi
Stackelberg-Nash equilibrium of pricing and inventory decisions in duopoly supply chains using a nested evolutionary algorithm. - Yusheng Cheng
Missing multi-label learning with non-equilibrium based on classification margin. - Wenyan Guo, Ting Liu, Fang Dai, Peng Xu:
An improved whale optimization algorithm for forecasting water resources demand. - Lucas Oliveira
Evolving granular feedback linearization: Design, analysis, and applications. - Alexandro López-González
Multi robot distance based formation using Parallel Genetic Algorithm. - Francisco Javier Cabrerizo
Estimating incomplete information in group decision making: A framework of granular computing. - Ahmed Refaat Hawas, Yanhui Guo, Chunlai Du, Kemal Polat
OCE-NGC: A neutrosophic graph cut algorithm using optimized clustering estimation algorithm for dermoscopic skin lesion segmentation. - Hiroshi Ohno:
Training data augmentation: An empirical study using generative adversarial net-based approach with normalizing flow models for materials informatics. - Haichao Cao
Dual-branch residual network for lung nodule segmentation. - Caihua Chen, Peng Wang
Hierarchical Learning Water Cycle Algorithm. - Nisha Arora
A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment. - Mohammed H. Qais
Enhanced whale optimization algorithm for maximum power point tracking of variable-speed wind generators. - Ali Selim
Efficient optimization technique for multiple DG allocation in distribution networks. - Huynh Thi Thanh Binh
Metaheuristics for maximization of obstacles constrained area coverage in heterogeneous wireless sensor networks. - Sutong Wang
An improved random forest-based rule extraction method for breast cancer diagnosis. - Rui Sun
A gradient boosting decision tree based GPS signal reception classification algorithm. - Xudong Li, Yang Hu
Fault diagnostics between different type of components: A transfer learning approach. - Lin Wang
Advanced backtracking search optimization algorithm for a new joint replenishment problem under trade credit with grouping constraint. - Peng Wu
Algorithm for improving additive consistency of linguistic preference relations with an integer optimization model. - Shuren Zhou
Electrocardiogram soft computing using hybrid deep learning CNN-ELM. - Ting-Hsuan Chen:
Do you know your customer? Bank risk assessment based on machine learning. - Cheng Dai
Human action recognition using two-stream attention based LSTM networks. - Nihat Daldal
Automatic determination of digital modulation types with different noises using Convolutional Neural Network based on time-frequency information. - D. Chitradevi
Analysis of brain sub regions using optimization techniques and deep learning method in Alzheimer disease. - Dongsheng Wang, Prayag Tiwari
Structural block driven enhanced convolutional neural representation for relation extraction. - Prince Kumar
An enhanced protein secondary structure prediction using deep learning framework on hybrid profile based features. - Karthik R, Hariharan Manikandan
Attention embedded residual CNN for disease detection in tomato leaves.
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