مهدی تیموری

1. Blind protocol identification using synthetic dataset: A case study on geographic protocols

Abbasi-Azar Mohammad، Teimouri Mehdi، Nikray Mohsen (2025)., Forensic Science International: Digital Investigation, 53(-), 301911.

1. ITC-MNP: a diverse dataset for image file fragment classification

Tavassoli Behnam، Naghshbandi Zhino، Teimouri Mehdi (2024)., BMC RESEARCH NOTES, 17(-).

2. Enhanced Autoencoder-Based Clustering for Message Analysis in Binary Protocols

Nemati Mohaddese، Mahmoudzadeh Shiva، Teimouri Mehdi (2024)., 2024 14th International Conference on Computer and Knowledge Engineering (ICCKE), 19-20 November, Mashhad, Iran.

3. Optimizing Text-Based Protocol Clustering in Reverse Engineering with Auto-Encoders and Fine-Tuned Parameters

Mahmoudzadeh Shiva، Nemati Mohaddese، Teimouri Mehdi (2024)., 2024 14th International Conference on Computer and Knowledge Engineering (ICCKE), 19-20 November, Mashhad, Iran.

4. Classification of Audio Streaming in Network Traffic Based on Machine Learning Methods

Nikbakht Mohammad، Teimouri Mehdi (2024)., 2024 14th International Conference on Computer and Knowledge Engineering (ICCKE), 19-20 November, Mashhad, Iran.

5. ITC-Net-blend-60: a comprehensive dataset for robust network traffic classification in diverse environments

Bayat Marziyeh، Garshasbi Javad، Mehdizadeh Mozhgan، Nozari Neda، Rezaei Khesal Abolghasem، Dokhaei Maryam، Teimouri Mehdi (2024)., BMC RESEARCH NOTES, 17(1), 1-12.

1. ITC-net-audio-5: an audio streaming dataset for application identification in network traffic classification

Nikbakht Mohammad، Teimouri Mehdi (2024)., BMC RESEARCH NOTES, 17(1).

2. CNNPRE: A CNN-Based Protocol Reverse Engineering Method

Garshasbi Javad، Teimouri Mehdi (2023)., IEEE Access, 11(11), 116255-116268.

1. The Effect of Network Environment on Traffic Classification

Rezaei Khesal Abolghasem، Teimouri Mehdi (2022)., 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE), 17-18 November, Mashhad, Iran.

2. On the use of BERT for Intent Classification and Slot filling for Customer Support Dialogue System in the Persian Language

Ganjeh Mahshid، Veisi Hadi، Teimouri Mehdi (2022)., 6th National Computational Linguistics Conference, 20 October, Tehran, Iran.

3. Dataset for classifying and estimating the position, orientation, and dimensions of a list of primitive objects

Makki Alireza، Hadi Hosseinabadi Alireza، Tarvirdizadeh Bahram، Teimouri Mehdi (2022)., BMC RESEARCH NOTES, 15(1).

1. POPDNet: Primitive Object Pose Detection Network Based on Voxel Data with Three Cartesian Channels

Makki Alireza، Hadi Hosseinabadi Alireza، Tarvirdizadeh Bahram، Teimouri Mehdi (2021)., the Seventh Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS) 2021., 29-30 December, Tehran, Iran.

3. Trigger Collecting Grasping Dataset Based on a Grasping Pose Detection Method for a Dedicated Dexterous Gripper

Makki Alireza، Hadi Hosseinabadi Alireza، Tarvirdizadeh Bahram، Teimouri Mehdi (2021)., The RSI 10th International Conference on Robotics and Mechatronics, 16-18 November, Tehran, Iran.

4. A Language-Independent Approach to Classification of Textual File Fragments: Case Study of Persian, English, and Chinese Languages

Mansouri Hanis Fatemeh، Khoshvaghti Hamidreza، Teimouri Mehdi، Veisi Hadi (2021)., 2021 10th International Conference on Computer and Knowledge Engineering (ICCKE), 28-29 October, Mashhad, Iran.

5. Anomaly Detection in File Fragment Classification of Image File Formats

Seyedghorban Zahra، Teimouri Mehdi (2021)., 2021 10th International Conference on Computer and Knowledge Engineering (ICCKE), 28-29 October, Mashhad, Iran.

7. Blind reconstruction of punctured convolutional codes

Teimouri Mehdi (2021)., PHYSICAL COMMUNICATION, 47(1), 101297.

1. Distinguishing Adenocarcinomas from Granulomas in the CT scan of the chest: performance degradation evaluation in the automatic segmentation framework

Bank Tavakoli Mahsa، Orooji Mahdi، Teimouri Mehdi، Shahabifar Ramita (2021)., BMC RESEARCH NOTES, 14(1), 1-5.

2. Classification of audio codecs with variable bit-rates using deep-learning methods

Khodadadi Atieh، Molaei Soheila، Teimouri Mehdi، Zare Hadi (2021)., DIGITAL SIGNAL PROCESSING, 110(102952), 102952.

3. Fragments‐Expert: A graphical user interface MATLAB toolbox for classification of file fragments

Teimouri Mehdi، Seyedghorban Zahra، Amirjani Fatemeh (2020)., CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020(First published: 23 December 2020.), 1-27.

4. Deep Learning approach for text, image, and GIF multimodal sentiment analysis

Shirzad Amirhossein، Zare Hadi، Teimouri Mehdi (2020)., 10th International Conference on Computer and Knowledge Engineering (ICCKE2020), 29-30 October, Mashhad, Iran.

5. Evaluating the Effect of Compression Settings in the Classification of Image File Formats

Seyedghorban Zahra، Teimouri Mehdi (2020)., 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE), 29-30 October, Mashhad, Iran.

6. Classification of Audio Codecs with Variable Bit- Rates

Khodadadi Atieh، Teimouri Mehdi (2020)., 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE), 29-30 October, Mashhad, Iran.

7. Roadside acoustic sensors to support vulnerable pedestrians via their smartphones

Ghatee Mehdi، Khalili Masoomeh، Teimouri Mehdi، Bejani Mohammad Mahdi (2020)., AUT Journal of Mathematics and Computing, 1(2), 135-143.