Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice by Turker Tuncer (16677966)

A heuristics for HTTP traffic identification in measuring user dissimilarity by Adeyemi R. Ikuesan (14157123)

“…The application of these research findings finds relevance in user identification for insider investigation, e-commerce, and e-learning system as well as in network planning and management. …”

A New Forensic Video Database for Source Smartphone Identification: Description and Analysis by Younes Akbari (16303286)

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Email Spam: A Comprehensive Review of Optimize Detection Methods, Challenges, and Open Research Problems by Ekramul Haque Tusher (21324362)

“…These limitations have led to the advancement of more sophisticated machine learning (ML) and deep learning (DL) methods for enhanced spam detection accuracy. …”

Identification of phantom movements with an ensemble learning approach by Akhan Akbulut (17380285)

BEMD-3DCNN-based method for COVID-19 detection by Ali Riahi (17128906)

Cross-linguistic authorship attribution and gender profiling. Machine translation as a method for bridging the language gap by George Mikros (19197997)

Vehicular Environment Identification Based on Channel State Information and Deep Learning by Hadid, Abdenour

“…This paper presents a novel vehicular environment identification approach based on deep learning. It consists of exploiting the vehicular wireless channel characteristics in the form of Channel State Information (CSI) in the receiver side of a connected vehicle in order to identify the environment type in which the vehicle is driving, without any need to implement specific sensors such as cameras or radars. …”
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Biometric Identification Based on Eye Movement and Iris Features Using Task-Driven and Task-Independent Stimuli by Darwish, Ali Alhaj

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Deep learning and vision transformers-based framework for breast cancer and subtype identification by Ishrat Jahan (5782163)

“…This study utilizes a deep learning framework for advanced, automatic breast cancer detection and subtype identification. …”

Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu by Ayesha Atif (22155133)

Decision-level Gait Fusion for Human Identification at a Distance by Al-Tayyan, Amer

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Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks by Zahidi, Sarah Hussain

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Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone by Younes, Akbari

“…This work exploits these two categories of methods by exploring a hierarchical deep learning model for camera model identification based on smartphone videos. …”
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A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout by Arash Golabi (21841484)

“…This paper presents a dual-path deep learning framework for the detection and identification of HTs via side-channel analysis. …”

Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone by Younes Akbari (16303286)

“…This work exploits these two categories of methods by exploring a hierarchical deep learning model for camera model identification based on smartphone videos. …”

Using Agile Methods to Navigate Complex Publisher Open Access Workflows: The Case of the Qatar National Library Open Access Fund by Alwaleed Alkhaja (13761787)

“…</p><p dir="ltr">This presentation describes how the OA fund team adopted methods and tools from agile project management to improve workplace and external communication and workflows to address the higher demand for the service. …”

Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning by Jing Ma (24574)

The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review by Al Khatib, Inas

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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

“…We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. The proposed method can be considered secure and reliable for any kind of biometric identification and authentication.…”