JOURNAL METRICS

Impact Factor (JCR) 2023: 1.2 ℹImpact Factor (JCR):

The JCR provides quantitative tools for ranking, evaluating, categorizing, and comparing journals. The impact factor is one of these; it is a measure of the frequency with which the “average article” in a journal has been cited in a particular year or period. The annual JCR impact factor is a ratio between citations and recent citable items published. Thus, the impact factor of a journal is calculated by dividing the number of current year citations to the source items published in that journal during the previous two years.

5-Year Impact Factor: 1.2 ℹ5-Year Impact Factor:

A 5-Year Impact Factor shows the long-term citation trend for a journal. This is calculated differently from the Journal Impact Factor, so it is not simply an average of the Impact Factors in the time period. The Impact Factor itself is based only on Web of Science Core Collection citation data from the last three years and thus reflects only recent impact. The Journal Impact Factor is the average number of times articles from the journal published in the past two years have been cited in the Journal Citation Reports year.

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Featured Articles

Depression Detection Based on Geometrical Features Extracted from SODP Shape of EEG Signals and Binary PSO

Hesam Akbari, Muhammad Tariq Sadiq, Malih Payan, Somayeh Saraf Esmaili, Hourieh Baghri, Hamed Bagheri

https://doi.org/10.18280/ts.380102

Page 13-26

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WPT-ANN and Belief Theory Based EEG/EMG Data Fusion for Movement Identification

Fazia Sbargoud, Mohamed Djeha, Mohamed Guiatni, Noureddine Ababou

https://doi.org/10.18280/ts.360502

Page 383-391

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Point Cloud Denoising with Principal Component Analysis and a Novel Bilateral Filter

Feng Zhang, Chao Zhang, Huamin Yang, Lin Zhao

https://doi.org/10.18280/ts.360503

Page 393-398

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A Hybrid Lightweight 1D CNN-LSTM Architecture for Automated ECG Beat-Wise Classification

Yusra Obeidat, Ali Mohammad Alqudah

https://doi.org/10.18280/ts.380503

Page 1281-1291

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GKP Signal Processing Using Deep CNN and SVM for Tongue-Machine Interface

Kutlucan Gorur, Mehmet Recep Bozkurt, Muhammet Serdar Bascil, Feyzullah Temurtas

https://doi.org/10.18280/ts.360404

Page 319-329

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Deep learning based conventional neural network architecture for medical image classification

Ramesh Neelapu, Golagani Lavanya Devi, Kurapati Srinivasa Rao

https://doi.org/10.3166/TS.35.169-182

Page 169-182

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A Tweakable Image Encryption Algorithm Using an Improved Logistic Chaotic Map

Djamel Herbadji, Nadir Derouiche, Aissa Belmeguenai, Abderrahmane Herbadji, Selma Boumerdassi

https://doi.org/10.18280/ts.360505

Page 407-417

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Gender Classification in Human Face Images for Smart Phone Applications Based on Local Texture Information and Evaluated Kullback-Leibler Divergence

Shervan Fekri-Ershad

https://doi.org/10.18280/ts.360605

Page 507-514

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Retinex-Based Multiphase Algorithm for Low-Light Image Enhancement

Mohammad Abid Al-Hashim, Zohair Al-Ameen

https://doi.org/10.18280/ts.370505

Page 733-743

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Lung Cancer Detection Based on CT Scan Images by Using Deep Transfer Learning

Tulasi Krishna Sajja, Retz Mahima Devarapalli, Hemantha Kumar Kalluri

https://doi.org/10.18280/ts.360406

Page 339-344

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Monitoring of Epileptical Patients Using Cloud-Enabled Health-IoT System

Akash Kumar Gupta, Chinmay Chakraborty, Bharat Gupta

https://doi.org/10.18280/ts.360507

Page 425-431

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Spinal Cord Based Kidney Segmentation Using Connected Component Labeling and K-Means Clustering Algorithm

Seda Arslan Tuncer, Ahmet Alkan

https://doi.org/10.18280/ts.360607

Page 521-527

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Comparison of Plant Leaf Classification Using Modified AlexNet and Support Vector Machine

Shivali Amit Wagle, Harikrishnan R

https://doi.org/10.18280/ts.380108

Page 79-87

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Automatic Detection of Schizophrenia by Applying Deep Learning over Spectrogram Images of EEG Signals

Zülfikar Aslan, Mehmet Akin

https://doi.org/10.18280/ts.370209

Page 235-244

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Weed Detection in Images of Carrot Fields Based on Improved YOLO v4

Boyu Ying, Yuancheng Xu, Shuai Zhang, Yinggang Shi, Li Liu

https://doi.org/10.18280/ts.380211

Page 341-348

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A Micro-expression Recognition Algorithm for Students in Classroom Learning Based on Convolutional Neural Network

Jiayin Pei, Peng Shan

https://doi.org/10.18280/ts.360611

Page 557-563

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Comparative Analysis of OpenPose, PoseNet, and MoveNet Models for Pose Estimation in Mobile Devices

BeomJun Jo, SeongKi Kim

https://doi.org/10.18280/ts.390111

Page 119-124

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A Deep Learning Based Hybrid Approach for COVID-19 Disease Detections

Muhammed Yildirim, Ahmet Cinar

https://doi.org/10.18280/ts.370313

Page 461-468

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Detection of Head Raising Rate of Students in Classroom Based on Head Posture Recognition

Qiang Guo

https://doi.org/10.18280/ts.370515

Page 823-830

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Detection of Lung Cancer Tumor in CT Scan Images Using Novel Combination of Super Pixel and Active Contour Algorithms

Farzaneh Shafiei, Shervan Fekri-Ershad

https://doi.org/10.18280/ts.370615

Page 1029-1035

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Classification of Pneumonia Cell Images Using Improved ResNet50 Model

Ahmet Çınar, Muhammed Yıldırım, Yeşim Eroğlu

https://doi.org/10.18280/ts.380117

Page 165-173

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An Automatic Recognition Method for Students’ Classroom Behaviors Based on Image Processing

Wei Huang, Ning Li, Zhijun Qiu, Na Jiang, Bin Wu, Bo Liu

https://doi.org/10.18280/ts.370318

Page 503-509

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Spatial Pyramid Pooling in Deep Convolutional Networks for Automatic Tuberculosis Diagnosis

Pike Msonda, Sait Ali Uymaz, Seda Soğukpınar Karaağaç

https://doi.org/10.18280/ts.370620

Page 1075-1084

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Forest Fire Recognition Based on Feature Extraction from Multi-View Images

Di Wu, Chunjiong Zhang, Li Ji, Rong Ran, Huaiyu Wu, Yanmin Xu

https://doi.org/10.18280/ts.380324

Page 775-783

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Performance Analysis of Deep Learning Models for Detection of Autism Spectrum Disorder from EEG Signals

Menaka Radhakrishnan, Karthik Ramamurthy, Kaustav Kumar Choudhury, Daehan Won, Thanga Aarthy Manoharan

https://doi.org/10.18280/ts.380332

Page 853-863

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