- Vineet Kumar, K. P. S. Rana, Dhruv Kler:
Efficient control of a 3-link planar rigid manipulator using self-regulated fractional-order fuzzy PID controller.
- Hasan Basri Sezer, Aysun Sezer:
Automatic segmentation and classification of neonatal hips according to Graf's sonographic method: A computer-aided diagnosis system.
- Farzane Hashemi, Mehrdad Naderi, Mashallah Mashinchi:
Clustering right-skewed data stream via Birnbaum-Saunders mixture models: A flexible approach based on fuzzy clustering algorithm.
- Kai Zhang:
A three-way c-means algorithm.
- Jizheng Yi, Aibin Chen, Zixing Cai, Yi Sima, Mengna Zhou, Xingyu Wu:
Facial expression recognition of intercepted video sequences based on feature point movement trend and feature block texture variation.
- Francesco Colace, Vincenzo Loia, Stefania Tomasiello:
Revising recurrent neural networks from a granular perspective.
- Humyun Fuad Rahman, Izabela Nielsen:
Scheduling automated transport vehicles for material distribution systems.
- Alberto Arteta Albert, Luis Fernando de Mingo López, Nuria Gómez Blas:
Multilinear Weighted Regression (MWE) with Neural Networks for trend prediction.
- Yang Zhao, Jihong Pei, Hao Chen:
Multi-layer radial basis function neural network based on multi-scale kernel learning.
- Indranil Ghosh, Rabin K. Jana, Manas K. Sanyal:
Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms.
- Shashank Sheshar Singh, Ajay Kumar, Kuldeep Singh, Bhaskar Biswas:
LAPSO-IM: A learning-based influence maximization approach for social networks.
- Xiaohui Yuan, Chen Chen, Min Jiang, Yanbin Yuan:
Prediction interval of wind power using parameter optimized Beta distribution based LSTM model.
- S. M. M. Fatemi Bushehri, Mohsen Sardari Zarchi:
An expert model for self-care problems classification using probabilistic neural network and feature selection approach.
- Jinfu Liu, Mingliang Bai, Na Jiang, Daren Yu:
A novel measure of attribute significance with complexity weight.
- Bei Wang, Zhichao Li, Zhenwen Dai, Neil D. Lawrence, Xuefeng Yan:
A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant.
- Reza Ramezanian, Arsalan Peymanfar, Seyed Babak Ebrahimi:
An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market.
- Ting-Yu Chen:
A novel PROMETHEE-based method using a Pythagorean fuzzy combinative distance-based precedence approach to multiple criteria decision making.
- Hamidreza Seiti, Ashkan Hafezalkotob, Seyyed Esmaeil Najafi, Mehran Khalaj:
Developing a novel risk-based MCDM approach based on D numbers and fuzzy information axiom and its applications in preventive maintenance planning.
- Chyh-Ming Lai, Tsung-Hua Wu:
Simplified swarm optimization with initialization scheme for dynamic weapon-target assignment problem.
- Wenfeng Hu, Hong Chang, Xingsheng Gu:
A novel fault diagnosis technique for wind turbine gearbox.
- Ambeshwar Kumar, Manikandan Ramachandran, Amir H. Gandomi, Rizwan Patan, Szymon Lukasik, Kattur Soundarapandian Ravichandran:
A deep neural network based classifier for brain tumor diagnosis.
- Shangkun Deng, Youtao Xiang, Zhe Fu, Mingyue Wang, Yueren Wang:
A hybrid method for crude oil price direction forecasting using multiple timeframes dynamic time wrapping and genetic algorithm.
- Falguni Chakraborty, Debashis Nandi, Provas Kumar Roy:
Oppositional symbiotic organisms search optimization for multilevel thresholding of color image.
- Shasha Mao, Jiawei Chen, Licheng Jiao, Shuiping Gou, Rongfang Wang:
Maximizing diversity by transformed ensemble learning.
- Puhua Chen, Licheng Jiao, Fang Liu, Zhiqiang Zhao, Jiaqi Zhao:
Adaptive sparse graph learning based dimensionality reduction for classification.
- Marzieh Davoodabadi Farahani, Nasser Mozayani:
Automatic construction and evaluation of macro-actions in reinforcement learning.
- Wenhua Zhang, Lianghai Jin, Enmin Song, Xiangyang Xu:
Removal of impulse noise in color images based on convolutional neural network.
- Elivelton O. Rangel, Daniel G. Costa, Angelo C. Loula:
On redundant coverage maximization in wireless visual sensor networks: Evolutionary algorithms for multi-objective optimization.
- Kejia Zhang, Yu Fu, Yanan Hu, Chunsheng Li, Panchi Li:
Scheduling strategy for computational-intensive data flow in generalized cluster environments.
- Evangelos Pournaras, Seoho Jung, Srivatsan Yadhunathan, Huiting Zhang, Xingliang Fang:
Socio-technical smart grid optimization via decentralized charge control of electric vehicles.
- Subhrajit Samanta, Sundaram Suresh, J. Senthilnath, N. Sundararajan:
A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting.
- Ashish Kumar Bhandari, Immadisetty Vinod Kumar:
A context sensitive energy thresholding based 3D Otsu function for image segmentation using human learning optimization.
- Mohsen Tabejamaat, Abdolmajid Mousavi:
Manifold label prediction for low dimensional palmprint recognition.
- Ming Tang, Yilu Long, Huchang Liao, Zeshui Xu:
Inclusion measures of probabilistic linguistic term sets and their application in classifying cities in the Economic Zone of Chengdu Plain.
- Jingyu Wang, Zirui Zhuang, Qi Qi, Tonghong Li, Jianxin Liao:
Deep reinforcement learning-based cooperative interactions among heterogeneous vehicular networks.
- Rui Wang, Jiyang Wang, Yunzhen Xu:
A novel combined model based on hybrid optimization algorithm for electrical load forecasting.
- Walaa Hassan Elashmawi, Diaa Salama Abd Elminaam:
A modified squirrel search algorithm based on improved best fit heuristic and operator strategy for bin packing problem.
- Omar M. Darwish, Ala I. Al-Fuqaha, Ghassen Ben Brahim, Ilyes Jenhani, Athanasios V. Vasilakos:
Using hierarchical statistical analysis and deep neural networks to detect covert timing channels.
- Elahe Sadat Hosseini, Mohammad Hossein Moattar:
Evolutionary feature subsets selection based on interaction information for high dimensional imbalanced data classification.
- Mohsen Yahyaei, Mahdi Bashiri, Marcus Randall:
A model for a reliable single allocation hub network design under massive disruption.
- Xiaochuan Li, Xiaoyu Yang, Yingjie Yang, Ian Bennett, David Mba:
A novel diagnostic and prognostic framework for incipient fault detection and remaining service life prediction with application to industrial rotating machines.
- Fabio Guigou, Pierre Collet, Pierre Parrend:
SCHEDA: Lightweight euclidean-like heuristics for anomaly detection in periodic time series.
- Juliana Helena Daroz Gaudêncio, João Éderson Corrêa, Vinicius de Carvalho Paes, Paulo Henrique da Silva Campos, João Batista Turrioni, Anderson Paulo de Paiva:
Hybrid multiobjective optimization algorithm based on multivariate mean square error and fuzzy decision maker.
- Wen-jing Niu, Zhong-kai Feng, Ming Zeng, Bao-fei Feng, Yao-wu Min, Chun-tian Cheng, Jian-zhong Zhou:
Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm.
- Ping Jiang, Zhenkun Liu:
Variable weights combined model based on multi-objective optimization for short-term wind speed forecasting.
- Kai Li, Jianfu Chen, Hong Fu, Zhao-Hong Jia, Weizhong Fu:
Uniform parallel machine scheduling with fuzzy processing times under resource consumption constraint.
- Hongwei Ge, Mingde Zhao, Kai Zhang, Yaqing Hou:
A Two-Engine interaction driven many-objective evolutionary algorithm with feasibility-aware adaptation.
- Murat Aslan, Mesut Gündüz, Mustafa Servet Kiran:
JayaX: Jaya algorithm with xor operator for binary optimization.
- Yun Liu, Xiaoming Zhang, Feiran Huang, Xianghong Tang, Zhoujun Li:
Visual question answering via Attention-based syntactic structure tree-LSTM.
- Fan Yang, Hao Xie, Huxiong Li:
Video associated cross-modal recommendation algorithm based on deep learning.
- Masafumi Nakano, Akihiko Takahashi, Soichiro Takahashi:
State-space approach to adaptive fuzzy modeling for financial investment.
- Nilam Upasani, Hari Om:
A modified neuro-fuzzy classifier and its parallel implementation on modern GPUs for real time intrusion detection.
- Chenyang Song, Yixin Zhang, Zeshui Xu:
An improved structure learning algorithm of Bayesian Network based on the hesitant fuzzy information flow.
- Michal Witold Przewozniczek, Róza Goscien:
Universal strategy of dynamic subpopulation number management in practical network optimization problems.
- Carlos Eduardo de Andrade, Simon D. Byers, Vijay Gopalakrishnan, Emir Halepovic, David J. Poole, Lien K. Tran, Christopher T. Volinsky:
Scheduling software updates for connected cars with limited availability.
- Chaoxu Mu, Qian Zhao, Changyin Sun, Zhongke Gao:
An ADDHP-based Q-learning algorithm for optimal tracking control of linear discrete-time systems with unknown dynamics.
- Luping Liu, Xiaohai He, Liang Liu, Lingbo Qing, Yong Fang, Jiayong Liu:
Capturing the symptoms of malicious code in electronic documents by file's entropy signal combined with machine learning.
- Han Ding, Jinyuan Tang, Wen Shao:
Automatic data-driven operation and optimization of uncertain misalignment by considering mechanical power transmission performances of spiral bevel and hypoid gears.
- Tingwen Huang, El-Sayed M. El-Alfy, Derong Liu:
Special issue on Neural Information Processing for Optimization and Applications.
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