| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep learning-based approach for the automated surface inspection of copper clad laminate images
|
Zheng, Xiaoqing
|
|
|
51 |
3 |
p. 1262-1279
|
artikel
|
| 2 |
A divide-and-unite deep network for person re-identification
|
Li, Rui
|
|
|
51 |
3 |
p. 1479-1491
|
artikel
|
| 3 |
A jumping mining attack and solution
|
Hu, Muchuang
|
|
|
51 |
3 |
p. 1367-1378
|
artikel
|
| 4 |
An enhanced particle swarm optimization algorithm to solve probabilistic load flow problem in a micro-grid
|
Bagheri Tolabi, Hajar
|
|
|
51 |
3 |
p. 1645-1668
|
artikel
|
| 5 |
An intelligent and blind dual color image watermarking for authentication and copyright protection
|
Ahmadi, Sajjad Bagheri Baba
|
|
|
51 |
3 |
p. 1701-1732
|
artikel
|
| 6 |
A novel active multi-source transfer learning algorithm for time series forecasting
|
Gu, Qitao
|
|
|
51 |
3 |
p. 1326-1350
|
artikel
|
| 7 |
A novel framework based on wavelet transform and principal component for face recognition under varying illumination
|
Liang, Hongtao
|
|
|
51 |
3 |
p. 1762-1783
|
artikel
|
| 8 |
A novel online sequential extreme learning machine with L2,1-norm regularization for prediction problems
|
Preeti,
|
|
|
51 |
3 |
p. 1669-1689
|
artikel
|
| 9 |
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems
|
Hashim, Fatma A.
|
|
|
51 |
3 |
p. 1531-1551
|
artikel
|
| 10 |
Attentive evolutionary generative adversarial network
|
Wu, Zhongze
|
|
|
51 |
3 |
p. 1747-1761
|
artikel
|
| 11 |
Batch Bayesian optimization via adaptive local search
|
Liu, Jingfei
|
|
|
51 |
3 |
p. 1280-1295
|
artikel
|
| 12 |
Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels
|
Sun, Lijuan
|
|
|
51 |
3 |
p. 1552-1564
|
artikel
|
| 13 |
Cost-effective workflow scheduling approach on cloud under deadline constraint using firefly algorithm
|
Chakravarthi, Koneti Kalyan
|
|
|
51 |
3 |
p. 1629-1644
|
artikel
|
| 14 |
COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble
|
Turkoglu, Muammer
|
|
|
51 |
3 |
p. 1213-1226
|
artikel
|
| 15 |
COVID-19 open source data sets: a comprehensive survey
|
Shuja, Junaid
|
|
|
51 |
3 |
p. 1296-1325
|
artikel
|
| 16 |
Deep learning based detection and analysis of COVID-19 on chest X-ray images
|
Jain, Rachna
|
|
|
51 |
3 |
p. 1690-1700
|
artikel
|
| 17 |
Discrete-valued belief structures combination and normalization using evidential reasoning rule
|
Zhang, Xing-Xian
|
|
|
51 |
3 |
p. 1379-1393
|
artikel
|
| 18 |
Dynamic multi-objective evolutionary algorithm for IoT services
|
Fang, Shun-shun
|
|
|
51 |
3 |
p. 1177-1200
|
artikel
|
| 19 |
Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection
|
Ketu, Shwet
|
|
|
51 |
3 |
p. 1492-1512
|
artikel
|
| 20 |
hPSO-SA: hybrid particle swarm optimization-simulated annealing algorithm for relay node selection in wireless body area networks
|
Bilandi, Naveen
|
|
|
51 |
3 |
p. 1410-1438
|
artikel
|
| 21 |
Kernelized fuzzy rough sets based online streaming feature selection for large-scale hierarchical classification
|
Bai, Shengxing
|
|
|
51 |
3 |
p. 1602-1615
|
artikel
|
| 22 |
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence
|
Yedida, Rahul
|
|
|
51 |
3 |
p. 1460-1478
|
artikel
|
| 23 |
Mining frequent weighted closed itemsets using the WN-list structure and an early pruning strategy
|
Bui, Huong
|
|
|
51 |
3 |
p. 1439-1459
|
artikel
|
| 24 |
Multi-view clustering via adversarial view embedding and adaptive view fusion
|
Li, Yongzhen
|
|
|
51 |
3 |
p. 1201-1212
|
artikel
|
| 25 |
Novel competitive-cooperative learning models (cclms) based on higher order information sets
|
Grover, Jyotsana
|
|
|
51 |
3 |
p. 1513-1530
|
artikel
|
| 26 |
Novel First Order Bayesian Optimization with an Application to Reinforcement Learning
|
J., Prabuchandran K.
|
|
|
51 |
3 |
p. 1565-1579
|
artikel
|
| 27 |
OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19
|
Goel, Tripti
|
|
|
51 |
3 |
p. 1351-1366
|
artikel
|
| 28 |
Proof searching and prediction in HOL4 with evolutionary/heuristic and deep learning techniques
|
Nawaz, M. Saqib
|
|
|
51 |
3 |
p. 1580-1601
|
artikel
|
| 29 |
Semantic ranking structure preserving for cross-modal retrieval
|
Liu, Hui
|
|
|
51 |
3 |
p. 1802-1812
|
artikel
|
| 30 |
SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling
|
Guan, Hongjiao
|
|
|
51 |
3 |
p. 1394-1409
|
artikel
|
| 31 |
Solving matrix games based on Ambika method with hesitant fuzzy information and its application in the counter-terrorism issue
|
Xue, Wenting
|
|
|
51 |
3 |
p. 1227-1243
|
artikel
|
| 32 |
Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs
|
Rashik, Mashrur
|
|
|
51 |
3 |
p. 1733-1746
|
artikel
|
| 33 |
Synthetic CT images for semi-sequential detection and segmentation of lung nodules
|
Hesamian, Mohammad Hesam
|
|
|
51 |
3 |
p. 1616-1628
|
artikel
|
| 34 |
TIRNet: Object detection in thermal infrared images for autonomous driving
|
Dai, Xuerui
|
|
|
51 |
3 |
p. 1244-1261
|
artikel
|
| 35 |
Trainable activation function with differentiable negative side and adaptable rectified point
|
Pratama, Kevin
|
|
|
51 |
3 |
p. 1784-1801
|
artikel
|
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