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ORCIDApplied Intelligence, Volume 51
Volume 51, Number 1, January 2021
- Gunjan Gautam
, Aditya Raj, Susanta Mukhopadhyay:
Identifying twins based on ocular region features using deep representations. 1-18 - Xiaoying Tian, Hui Peng, Feng Zhou, Xiaoyan Peng:
A synthesis approach of fast robust MPC with RBF-ARX model to nonlinear system with uncertain steady status information. 19-36 - Junfei Qiao, Longyang Wang:
Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network. 37-50 - Murtadha Talib AL-Sharuee, Fei Liu, Mahardhika Pratama:
Sentiment analysis: dynamic and temporal clustering of product reviews. 51-70 - Mozhdeh Khaksar Manshad, Mohammad Reza Meybodi, Afshin Salajegheh:
A new irregular cellular learning automata-based evolutionary computation for time series link prediction in social networks. 71-84 - Zhiwei Liu, Ji Huang, Chengjia Zhu, Xiaoyu Peng, Xinyu Du:
Residual attention network using multi-channel dense connections for image super-resolution. 85-99 - Yuan Zhao, Hong Liu, Kaizhou Gao:
An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model. 100-123 - Khaled Bayoudh, Fayçal Hamdaoui, Abdellatif Mtibaa:
Transfer learning based hybrid 2D-3D CNN for traffic sign recognition and semantic road detection applied in advanced driver assistance systems. 124-142 - Liang Chen, Wenyan Gan, Hongwei Li, Kai Cheng, Darong Pan, Li Chen, Zili Zhang:
Solving multi-objective optimization problem using cuckoo search algorithm based on decomposition. 143-160 - Asunción Jiménez-Cordero, Sebastián Maldonado:
Automatic feature scaling and selection for support vector machine classification with functional data. 161-184 - Chunmao Li, Yang Li, Yinliang Zhao, Peng Peng, Xupeng Geng:
SLER: Self-generated long-term experience replay for continual reinforcement learning. 185-201 - Canlin Li, Jinhua Liu, Qinge Wu, Lihua Bi:
An adaptive enhancement method for low illumination color images. 202-222 - Hongmei Wang, Yitian Xu, Qian Chen, Xinye Wang:
Diagnosis of complications of type 2 diabetes based on weighted multi-label small sphere and large margin machine. 223-236 - Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou, Chang-Lun Liu, Jinn-Liang Liu:
Deep learning and control algorithms of direct perception for autonomous driving. 237-247 - Tingyi Zheng, Huibin Ge, Jiayi Li, Li Wang:
Unsupervised multi-view representation learning with proximity guided representation and generalized canonical correlation analysis. 248-264 - Shaoxin Sun, Huaguang Zhang, Jian Han, Zhiyun Gao:
Multiple delay-dependent noise-to-state stability for a class of uncertain switched random nonlinear systems with intermittent sensor and actuator faults. 265-282 - Ruipu Tan, Wende Zhang:
Decision-making method based on new entropy and refined single-valued neutrosophic sets and its application in typhoon disaster assessment. 283-307 - Yan-Nan Chen, Wei Weng, Shunxiang Wu, Baihua Chen, Yu-Ling Fan, Jinghua Liu:
An efficient stacking model with label selection for multi-label classification. 308-325 - Zhi-Chao Sha, Zhang-Meng Liu, Chen Ma, Jun Chen:
Feature selection for multi-label classification by maximizing full-dimensional conditional mutual information. 326-340 - Varalakshmi Perumal, Vasumathi Narayanan, Sakthi Jaya Sundar Rajasekar:
Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features. 341-358 - Libao Deng, Haili Sun, Chunlei Li:
JDF-DE: a differential evolution with Jrand number decreasing mechanism and feedback guide technique for global numerical optimization. 359-376 - Sijia Yang, Haoyi Xiong, Kaibo Xu, Licheng Wang, Jiang Bian, Zeyi Sun:
Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases. 377-395 - Warley Almeida Silva, Saulo Moraes Villela:
Improving the one-against-all binary approach for multiclass classification using balancing techniques. 396-415 - Huilian Fan, Yuanchang Zhong, Guangpu Zeng, Lili Sun:
Attributed network representation learning via improved graph attention with robust negative sampling. 416-426 - Yan-Bo Liu, Rui-Sheng Jia, Qing-Ming Liu, Xing-Li Zhang, Hong-mei Sun:
Crowd counting method based on the self-attention residual network. 427-440 - Nu Wen, Renzhong Guo, Biao He, Yong Fan, Ding Ma:
Block-sparse CNN: towards a fast and memory-efficient framework for convolutional neural networks. 441-452 - Qiangkui Leng, Zuowei He, Yuqing Liu, Yuping Qin, Yujian Li:
A soft-margin convex polyhedron classifier for nonlinear task with noise tolerance. 453-466 - Amin Rezaeipanah, Samaneh Sechin Matoori, Gholamreza Ahmadi:
A hybrid algorithm for the university course timetabling problem using the improved parallel genetic algorithm and local search. 467-492 - Bolin Zhang, Jiangbo Qian:
Autoencoder-based unsupervised clustering and hashing. 493-505 - Chang-Ling Hsu:
A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations. 506-526 - Cao Van Kien, Ho Pham Huy Anh, Nguyen Ngoc Son:
Adaptive inverse multilayer fuzzy control for uncertain nonlinear system optimizing with differential evolution algorithm. 527-548 - Jie Shao, Qiyu Cheng:
E-FCNN for tiny facial expression recognition. 549-559 - Chongyang Ding, Kai Liu, Fei Cheng, Evgeny Belyaev:
Spatio-temporal attention on manifold space for 3D human action recognition. 560-570 - Sakshi Ahuja, Bijaya Ketan Panigrahi, Nilanjan Dey, Venkatesan Rajinikanth, Tapan Kumar Gandhi:
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices. 571-585 - S. Manochandar, M. Punniyamoorthy:
A new user similarity measure in a new prediction model for collaborative filtering. 586-615
Volume 51, Number 2, February 2021
- Gangliang Zhu, Qun Dai:
EnsPKDE&IncLKDE: a hybrid time series prediction algorithm integrating dynamic ensemble pruning, incremental learning, and kernel density estimation. 617-645 - Abdolreza Asadi Ghanbari, Hossein Alaei:
Meta-heuristic algorithms for resource Management in Crisis Based on OWA approach. 646-657 - Abinash Pujahari, Dilip Singh Sisodia:
Preference relation based collaborative filtering with graph aggregation for group recommender system. 658-672 - Lei Lei, Feng Xi, Shengyao Chen, Zhong Liu:
Iterated graph cut method for automatic and accurate segmentation of finger-vein images. 673-689 - Omar Elharrouss, Noor Almaadeed, Somaya Al-Máadeed, Ahmed Bouridane, Azeddine Beghdadi:
A combined multiple action recognition and summarization for surveillance video sequences. 690-712 - Ruichen Zhang, Zeshui Xu, Xunjie Gou:
An integrated method for multi-criteria decision-making based on the best-worst method and Dempster-Shafer evidence theory under double hierarchy hesitant fuzzy linguistic environment. 713-735 - Amin Khorram, Mohammad Khalooei, Mansoor Rezghi:
End-to-end CNN + LSTM deep learning approach for bearing fault diagnosis. 736-751 - Han Pan, Xiaoming You, Sheng Liu, Dehui Zhang:
Pearson correlation coefficient-based pheromone refactoring mechanism for multi-colony ant colony optimization. 752-774 - Xiaoxia Han, Yingchao Dong, Lin Yue, Quanxi Xu, Gang Xie, Xinying Xu:
State-transition simulated annealing algorithm for constrained and unconstrained multi-objective optimization problems. 775-787 - Wanru Song, Jieying Zheng, Yahong Wu, Changhong Chen, Feng Liu:
Discriminative feature extraction for video person re-identification via multi-task network. 788-803 - Kongzhi Hu, Ming Jiang, Haifeng Zhang, Sheng Cao, Ziyi Guo:
Design of fault diagnosis algorithm for electric fan based on LSSVM and Kd-Tree. 804-818 - Hongwei Dong, Liming Yang, Xue Wang:
Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions. 819-833 - Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Deep network compression with teacher latent subspace learning and LASSO. 834-853 - Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber:
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. 854-864 - Lei Chen, Meimei Xia:
A context-aware recommendation approach based on feature selection. 865-875 - Zehua Jiang, Huili Dou, Jingjing Song, Pingxin Wang, Xibei Yang, Yuhua Qian:
Data-guided multi-granularity selector for attribute reduction. 876-888 - Salvatore Carta, Andrea Corriga, Anselmo Ferreira, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning. 889-905 - Dongjing Wang, Dengwei Xu, Dongjin Yu, Guandong Xu:
Time-aware sequence model for next-item recommendation. 906-920 - Mahya Ahmadvand, Jafar Tahmoresnezhad:
Metric transfer learning via geometric knowledge embedding. 921-934 - Chengyi Xiong, Xiaodi Shi, Zhirong Gao, Ge Wang:
Attention augmented multi-scale network for single image super-resolution. 935-951 - Bo Zhang, Runhua Tan, Cheng-Jian Lin:
Forecasting of e-commerce transaction volume using a hybrid of extreme learning machine and improved moth-flame optimization algorithm. 952-965 - Ziheng Chen, Jiangtao Ren:
Multi-label text classification with latent word-wise label information. 966-979 - Xiuling Zhang, Kailun Wei, Xuenan Kang, Jinxiang Li:
Hybrid nonlinear convolution filters for image recognition. 980-990 - Yaling Xun, Qingxia Yin, Jifu Zhang, Haifeng Yang, Xiaohui Cui:
A novel discretization algorithm based on multi-scale and information entropy. 991-1009 - Tahmina Zebin, Shahadate Rezvy:
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. 1010-1021 - Alfred Adutwum Amponsah, Fei Han, Qing-Hua Ling, Patrick Kwaku Kudjo:
An enhanced class topper algorithm based on particle swarm optimizer for global optimization. 1022-1040 - Edwin Valarezo Añazco, Patricio Rivera Lopez, Nahyeon Park, Jiheon Oh, Gahyeon Ryu, Mugahed A. Al-antari, Tae-Seong Kim:
Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network. 1041-1055 - Ming Jing, Yongchuan Tang:
A new base basic probability assignment approach for conflict data fusion in the evidence theory. 1056-1068 - Yuki Miyashita, Toshiharu Sugawara:
Analysis of coordinated behavior structures with multi-agent deep reinforcement learning. 1069-1085 - Nicolas Bougie, Ryutaro Ichise:
Fast and slow curiosity for high-level exploration in reinforcement learning. 1086-1107 - Kui Qian, Lei Tian, Yiting Liu, Xiulan Wen, Jiatong Bao:
Image robust recognition based on feature-entropy-oriented differential fusion capsule network. 1108-1117 - Junzhong Ji, Hanghang Xiao, Cuicui Yang:
HFADE-FMD: a hybrid approach of fireworks algorithm and differential evolution strategies for functional module detection in protein-protein interaction networks. 1118-1132 - Punam Bedi, Neha Gupta, Vinita Jindal:
I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems. 1133-1151 - Aakash Kumar, Ali Muhammad Shaikh, Yun Li, Hazrat Bilal, Baoqun Yin:
Pruning filters with L1-norm and capped L1-norm for CNN compression. 1152-1160 - Meichen Liu, Xin Yan, Chenhui Wang, Kejun Wang:
Segmentation mask-guided person image generation. 1161-1176
Volume 51, Number 3, March 2021
- Shun-Shun Fang, Zheng-Yi Chai, Ya-Lun Li:
Dynamic multi-objective evolutionary algorithm for IoT services. 1177-1200 - Yongzhen Li, Husheng Liao:
Multi-view clustering via adversarial view embedding and adaptive view fusion. 1201-1212 - Muammer Turkoglu:
COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble. 1213-1226 - Wenting Xue, Zeshui Xu, Xiao-Jun Zeng:
Solving matrix games based on Ambika method with hesitant fuzzy information and its application in the counter-terrorism issue. 1227-1243 - Xuerui Dai, Xue Yuan, Xueye Wei:
TIRNet: Object detection in thermal infrared images for autonomous driving. 1244-1261 - Xiaoqing Zheng, Jie Chen, Hongcheng Wang, Song Zheng, Yaguang Kong:
A deep learning-based approach for the automated surface inspection of copper clad laminate images. 1262-1279 - Jingfei Liu, Chao Jiang, Jing Zheng:
Batch Bayesian optimization via adaptive local search. 1280-1295 - Junaid Shuja, Eisa Alanazi, Waleed Alasmary, Abdulaziz Alashaikh:
COVID-19 open source data sets: a comprehensive survey. 1296-1325 - Qitao Gu, Qun Dai:
A novel active multi-source transfer learning algorithm for time series forecasting. 1326-1350 - Tripti Goel, R. Murugan, Seyedali Mirjalili, Deba Kumar Chakrabartty:
OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19. 1351-1366 - Muchuang Hu, Jiahui Chen, Wensheng Gan, Chien-Ming Chen:
A jumping mining attack and solution. 1367-1378 - Xing-Xian Zhang, Ying-Ming Wang, Sheng-Qun Chen, Lei Chen:
Discrete-valued belief structures combination and normalization using evidential reasoning rule. 1379-1393 - Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang:
SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling. 1394-1409 - Naveen Bilandi, Harsh Kumar Verma, Renu Dhir:
hPSO-SA: hybrid particle swarm optimization-simulated annealing algorithm for relay node selection in wireless body area networks. 1410-1438 - Huong Bui, Bay Vo, Tu-Anh Nguyen-Hoang, Unil Yun:
Mining frequent weighted closed itemsets using the WN-list structure and an early pruning strategy. 1439-1459 - Rahul Yedida, Snehanshu Saha, Tejas Prashanth:
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence. 1460-1478 - Rui Li, Baopeng Zhang, Zhu Teng, Jianping Fan:
A divide-and-unite deep network for person re-identification. 1479-1491 - Shwet Ketu, Pramod Kumar Mishra:
Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection. 1492-1512 - Jyotsana Grover, Madasu Hanmandlu:
Novel competitive-cooperative learning models (cclms) based on higher order information sets. 1513-1530 - Fatma A. Hashim, Kashif Hussain, Essam H. Houssein, Mai S. Mabrouk, Walid Al-Atabany:
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems. 1531-1551 - Lijuan Sun, Gengyu Lyu, Songhe Feng, Xiankai Huang:
Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels. 1552-1564 - Prabuchandran K. J., Santosh Penubothula, Chandramouli Kamanchi, Shalabh Bhatnagar:
Novel First Order Bayesian Optimization with an Application to Reinforcement Learning. 1565-1579 - M. Saqib Nawaz, Muhammad Zohaib Nawaz, Osman Hasan, Philippe Fournier-Viger, Meng Sun:
Proof searching and prediction in HOL4 with evolutionary/heuristic and deep learning techniques. 1580-1601 - Shengxing Bai, Yaojin Lin, Yan Lv, Jinkun Chen, Chenxi Wang:
Kernelized fuzzy rough sets based online streaming feature selection for large-scale hierarchical classification. 1602-1615 - Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He, Qingqing Wang, Paul J. Kennedy:
Synthetic CT images for semi-sequential detection and segmentation of lung nodules. 1616-1628 - Koneti Kalyan Chakravarthi, L. Shyamala, Vaidehi V.:
Cost-effective workflow scheduling approach on cloud under deadline constraint using firefly algorithm. 1629-1644 - Hajar Bagheri Tolabi, Afshin Lashkar Ara, Rahil Hosseini:
An enhanced particle swarm optimization algorithm to solve probabilistic load flow problem in a micro-grid. 1645-1668 - Preeti, Rajni Bala, Ankita Dagar, Ram Pal Singh:
A novel online sequential extreme learning machine with L2, 1-norm regularization for prediction problems. 1669-1689 - Rachna Jain, Meenu Gupta, Soham Taneja, D. Jude Hemanth:
Deep learning based detection and analysis of COVID-19 on chest X-ray images. 1690-1700 - Sajjad Bagheri Baba Ahmadi, Gongxuan Zhang, Mahdi Rabbani, Lynda Boukela, Hamed Jelodar:
An intelligent and blind dual color image watermarking for authentication and copyright protection. 1701-1732 - Mashrur Rashik, Md. Musfiqur Rahman, Md. Mosaddek Khan, Md. Mamun-Or-Rashid, Long Tran-Thanh, Nicholas R. Jennings:
Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs. 1733-1746 - Zhongze Wu, Chunmei He, Liwen Yang, Fangjun Kuang:
Attentive evolutionary generative adversarial network. 1747-1761 - Hongtao Liang, Jie Gao, Ning Qiang:
A novel framework based on wavelet transform and principal component for face recognition under varying illumination. 1762-1783 - Kevin Pratama, Dae-Ki Kang:
Trainable activation function with differentiable negative side and adaptable rectified point. 1784-1801 - Hui Liu, Yong Feng, Mingliang Zhou, Baohua Qiang:
Semantic ranking structure preserving for cross-modal retrieval. 1802-1812
Volume 51, Number 4, April 2021
- Haijuan Chen, Xiang Feng, Huiqun Yu:
Group competition-cooperation optimization algorithm. 1813-1828 - Peng Wen, Weihua Yuan, Qianqian Qin, Sheng Sang, Zhijun Zhang:
Neural attention model for recommendation based on factorization machines. 1829-1844 - Xinxin Feng, Xianguo Li, Jianxiong Li:
Multi-scale fractal residual network for image super-resolution. 1845-1856 - Nitish Das, Aruna Priya P.:
FB-GSA: A fuzzy bi-level programming based gravitational search algorithm for unconstrained optimization. 1857-1887 - Youcef Djenouri, Asma Belhadi, Djamel Djenouri, Jerry Chun-Wei Lin:
Cluster-based information retrieval using pattern mining. 1888-1903 - Liang Chang, Wei Chen, Jianbo Huang, Chenzhong Bin, Wenkai Wang:
Exploiting multi-attention network with contextual influence for point-of-interest recommendation. 1904-1917 - Xiangtao Chen, Lan Zhang, Xiaohui Wei, Xinguo Lu:
An effective method using clustering-based adaptive decomposition and editing-based diversified oversamping for multi-class imbalanced datasets. 1918-1933 - Qiangqiang Cheng, Pengyu Sun, Chunsheng Yang, Runqiao Yu, Peter Xiaoping Liu:
Forecasting and simulation of cutting force in virtual surgery based on particle filtering. 1934-1946 - Xianhui Zong, Zhehan Chen, Dadong Wang:
Local-CycleGAN: a general end-to-end network for visual enhancement in complex deep-water environment. 1947-1958