Browsing by Subject "Classification"
Now showing items 21-30 of 30
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IoT malicious traffic identification using wrapper-based feature selection mechanisms
( Elsevier Ltd , 2020 , Article)Machine Learning (ML) plays very significant role in the Internet of Things (IoT) cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms are widely applied for IoT traffic identification ... -
KERTAS: dataset for automatic dating of ancient Arabic manuscripts
( Springer Verlag , 2018 , Article)The age of a historical manuscript can be an invaluable source of information for paleographers and historians. The process of automatic manuscript age detection has inherent complexities, which are compounded by the lack ... -
Lightweight IoT Malware Detection Solution Using CNN Classification
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Internet of Things (IoT) is becoming more frequently used in more applications as the number of connected devices is in a rapid increase. More connected devices result in bigger challenges in terms of scalability, ... -
Linear Classifier Approach to Detect Alpha Parietal Modulation for Brain Computer Interface
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Brain computer interaction (BCI) based on electroencephalographic (EEG) signal helps people who suffering from disability to carry out their daily life. However, the numerus number of researches have done in this field, ... -
Multi-criteria classification, sorting, and clustering: a bibliometric review and research agenda
( Springer Nature Switzerland AG. , 2022 , Article)Multi-criteria decision analysis (MCDA) has been increasingly adopted to solve decision-making problems involving multiple options and multiple criteria. These methods have been proven to improve the analytic rigor, ... -
Rule-base wearable embedded platform for seizure detection from real EEG data in ambulatory state
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper describes a classification method is presented using an empirical Rule-base System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable ... -
Segmentation of Tumor Regions in Microscopic Images of Breast Cancer Tissue
(2016 , Master Thesis)Nowadays, advances in the domain of digital pathology gave the means to replace the old optical microscopes by the Whole Slide Imaging (WSI) scanners. These scanners enable pathologists viewing conventional tissue slides ... -
Spammer Detection and Fake User Identification on Social Networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Social networking sites engage millions of users around the world. The users' interactions with these social sites, such as Twitter and Facebook have a tremendous impact and occasionally undesirable repercussions for daily ... -
This is not new! Spotting previously-verified claims over Twitter
( Elsevier , 2023 , Article)Several fake claims are commonly repeated over time, especially on social media. To identify such previous claims, the verified claim retrieval task was studied, where, for a given input claim, the goal is to find ... -
The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
( Elsevier , 2023 , Article)IntroductionHER-2/neu is a protein present on the surface of specific cancer cells and has been linked to the development and progression of certain cancer types. It is present in 15 to 20% of breast cancers and is clinically ...
