Speech Recognition Algorithm in a Noisy Environment Based on Power Normalized Cepstral Coefficient and Modified Weighted-KNN
Speech Recognition Algorithm in a Noisy Environment Based on Power Normalized Cepstral Coefficient and Modified Weighted-KNN

Mohammed E. Safi; Eyad I. Abbas

Volume 41, Issue 8 , August 2023, , Page 1107-1117

https://doi.org/10.30684/etj.2023.140643.1469

Abstract
  Speech recognition is widely used in robot control and automation. Nevertheless, the use of speech recognition in robots is limited due to its susceptibility to background noise. This ...  Read More ...
Building an Efficient System to Detect Computer Worms in Websites Based on Ensemble Ada Boosting and SVM Classifiers Algorithms
Building an Efficient System to Detect Computer Worms in Websites Based on Ensemble Ada Boosting and SVM Classifiers Algorithms

Ali K. Hilool; Soukaena H. Hashem; Shatha H. Jafer

Volume 40, Issue 4 , April 2022, , Page 595-604

https://doi.org/10.30684/etj.v40i4.2148

Abstract
  Computer worms perform harmful tasks in network systems due to their rapid spread, which leads to harmful consequences on system security. However, existing worm detection algorithms ...  Read More ...
A combining two ksvm classifiers based on True pixel values and Discrete wavelet transform for mri-based brain tumor detection and Classification
A combining two ksvm classifiers based on True pixel values and Discrete wavelet transform for mri-based brain tumor detection and Classification

Ali A. Mohammed; Mohammed A. Noaman; Hassan M. Azzawi

Volume 40, Issue 2 , February 2022, , Page 322-333

https://doi.org/10.30684/etj.v40i2.2180

Abstract
  The studies on brain tumor detection and classification are continuing to improvethe specialists’ ability in diagnosis. Magnetic Resonance Imaging (MRI) is one ofthe most common ...  Read More ...
Detection of COVID-19 Based on Chest Medical Imaging and Artificial Intelligence Techniques
Detection of COVID-19 Based on Chest Medical Imaging and Artificial Intelligence Techniques

Nawres A. Alwash; Hussain Kareem

Volume 39, Issue 10 , October 2021, , Page 1588-1600

https://doi.org/10.30684/etj.v39i10.2200

Abstract
  The emergence of COVID-19 disease in the world has moved the wheel of scientific research in order to detect it in the best method, and the fastest of these methods is the use of Artificial ...  Read More ...
Detection of confusion behavior using a facial expression based on different classification algorithms
Detection of confusion behavior using a facial expression based on different classification algorithms

Fatima I. Yasser; Bassam H. Abd; Saad M. Abbas

Volume 39, 2A , February 2021, , Page 316-325

https://doi.org/10.30684/etj.v39i2A.1750

Abstract
  Confusion detection systems (CDSs) that need Noninvasive, mobile, and cost-effective methods use facial expressions as a technique to detect confusion. In previous works, the technology ...  Read More ...
Visual Depression Diagnosis From Face Based on Various Classification Algorithms
Visual Depression Diagnosis From Face Based on Various Classification Algorithms

Sana A. Nasser; Ivan A. Hashim; Wisam H. Ali

Volume 38, 11A , November 2020, , Page 1717-1729

https://doi.org/10.30684/etj.v38i11A.1714

Abstract
  Most psychologists believe that facial behavior through depression differs from facial behavior in the absence of depression, so facial behavior can be utilized as a dependable indicator ...  Read More ...
ECG Analysis Using DWT and Wavelet Coefficient to Reduce the Feature and SVM-ICP for Classification and Matching
ECG Analysis Using DWT and Wavelet Coefficient to Reduce the Feature and SVM-ICP for Classification and Matching

Janan A. Mahdi

Volume 36, 8A , August 2018, , Page 925-929

https://doi.org/10.30684/etj.36.8A.13

Abstract
  The Electrocardiogram (ECG) considered as one of the important issue in the medical field (hospitals and clinics), which is used to represent the health of a heart. Increasing patients ...  Read More ...
Indian Number Handwriting Features Extraction and Classification using Multi-Class SVM
Indian Number Handwriting Features Extraction and Classification using Multi-Class SVM

H.A. Jeiad

Volume 36, 1A , January 2018, , Page 33-40

https://doi.org/10.30684/etj.2018.136753

Abstract
  In this paper, an Indian Number Handwriting Recognition Model (INHRM) is proposed. Mainly, the proposed model consists of four phases which are the image acquisition, image preprocessing, ...  Read More ...
Image Categorization Based Color Detector
Image Categorization Based Color Detector

Hayder Ayad; Nidaa Flaih Hassan; Suhad Mallallah

Volume 34, 5B , May 2016, , Page 621-628

https://doi.org/https://doi.org/10.30684/etj.34.5B.1

Abstract
  Due to the investigation of the images in several parts of the life and the arising of the fast technology make the management of these images an open research area. Basically, the ...  Read More ...