| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Affective state and learning environment based analysis of students’ performance in online assessment
|
Kaur, Parneet
|
|
|
2 |
C |
p. 12-20
|
artikel
|
| 2 |
An analysis of the ethical challenges of blockchain-enabled E-healthcare applications in 6G networks
|
Srivastava, Vandana
|
|
|
2 |
C |
p. 171-179
|
artikel
|
| 3 |
An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier
|
Kumari, Saloni
|
|
|
2 |
C |
p. 40-46
|
artikel
|
| 4 |
A new survey to the nonlinear electrical transmission line model
|
Ozer, Ozen
|
|
|
2 |
C |
p. 208-214
|
artikel
|
| 5 |
A review on object detection in unmanned aerial vehicle surveillance
|
Ramachandran, Anitha
|
|
|
2 |
C |
p. 215-228
|
artikel
|
| 6 |
A survey on deep learning models for wireless capsule endoscopy image analysis
|
Muruganantham, Prabhananthakumar
|
|
|
2 |
C |
p. 83-92
|
artikel
|
| 7 |
Closed-form solution for the max-min fairness problem in non-orthogonal multiple access systems
|
Yang, Shiyong
|
|
|
2 |
C |
p. 191-195
|
artikel
|
| 8 |
Cognitive impact validation of requirement uncertainty in software project development
|
Haleem, Mohd.
|
|
|
2 |
C |
p. 1-11
|
artikel
|
| 9 |
1D Convolution approach to human activity recognition using sensor data and comparison with machine learning algorithms
|
K, Muralidharan
|
|
|
2 |
C |
p. 130-143
|
artikel
|
| 10 |
DDCNNC: Dilated and depthwise separable convolutional neural Network for diagnosis COVID-19 via chest X-ray images
|
Li, Xiang
|
|
|
2 |
C |
p. 71-82
|
artikel
|
| 11 |
Developing bug severity prediction models using word2vec
|
Agrawal, Rashmi
|
|
|
2 |
C |
p. 104-115
|
artikel
|
| 12 |
Developing Turkish sentiment analysis models using machine learning and e-commerce data
|
Demircan, Murat
|
|
|
2 |
C |
p. 202-207
|
artikel
|
| 13 |
Facial expression recognition via ResNet-50
|
Li, Bin
|
|
|
2 |
C |
p. 57-64
|
artikel
|
| 14 |
Gray level co-occurrence matrix and extreme learning machine for Alzheimer's disease diagnosis
|
Gao, Shuangshuang
|
|
|
2 |
C |
p. 116-129
|
artikel
|
| 15 |
Gray level co-occurrence matrix and extreme learning machine for Covid-19 diagnosis
|
Pi, Pengpeng
|
|
|
2 |
C |
p. 93-103
|
artikel
|
| 16 |
Hearing loss classification via AlexNet and extreme learning machine
|
Li, Bin
|
|
|
2 |
C |
p. 144-153
|
artikel
|
| 17 |
Interpretability in neural networks towards universal consistency
|
Monte-Serrat, Dionéia Motta
|
|
|
2 |
C |
p. 30-39
|
artikel
|
| 18 |
Machine learning based diabetes prediction and development of smart web application
|
Ahmed, Nazin
|
|
|
2 |
C |
p. 229-241
|
artikel
|
| 19 |
Medical image fusion method by deep learning
|
Li, Yi
|
|
|
2 |
C |
p. 21-29
|
artikel
|
| 20 |
Overview on fuzzy fractional coloring
|
Gao, Wei
|
|
|
2 |
C |
p. 196-201
|
artikel
|
| 21 |
Performance characterization of reinforcement learning-enabled evolutionary algorithms for integrated school bus routing and scheduling problem
|
Koksal, Eda
|
|
|
2 |
C |
p. 47-56
|
artikel
|
| 22 |
Predicting microbial response to anthropogenic environmental disturbances using artificial neural network and multiple linear regression
|
Sharma, Saloni
|
|
|
2 |
C |
p. 65-70
|
artikel
|
| 23 |
ROOA: CloudIDE framework for extension development
|
Javidpanah, Mohsen
|
|
|
2 |
C |
p. 165-170
|
artikel
|
| 24 |
Smart Home Security Solutions using Facial Authentication and Speaker Recognition through Artificial Neural Networks
|
Saxena, Navya
|
|
|
2 |
C |
p. 154-164
|
artikel
|
| 25 |
Tackling Requirements Uncertainty in Software Projects: A Cognitive Approach
|
Haleem, Mohd.
|
|
|
2 |
C |
p. 180-190
|
artikel
|
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