Bassel Alkhatib
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View article: Developing and Using Data Mining to Detect Healthcare Fraud and Abuse for Health Insurance Companies
Developing and Using Data Mining to Detect Healthcare Fraud and Abuse for Health Insurance Companies Open
Healthcare fraud and abuse remain a major global challenge, costing billions annually and threatening the sustainability of insurance systems. Traditional manual and rule- based approaches are increasingly ineffective given the scale, comp…
View article: Using Medical Named Entity Recognition in Automatic ICD Prediction
Using Medical Named Entity Recognition in Automatic ICD Prediction Open
The International Classification of Diseases (ICD) serves as a standard in medical coding. Researchers in artificial intelligence, including those focused on natural language processing and machine learning, have made a significant effort …
View article: Conceptualizing Discussions on the Dark Web: An Empirical Topic Modeling Approach
Conceptualizing Discussions on the Dark Web: An Empirical Topic Modeling Approach Open
Social networks on the Internet have become a home that attracts all types of human thinking to exchange knowledge and ideas and share businesses. On the other hand, it has also become a source for researchers to analyze this knowledge and…
View article: DarkOnto: An Ontology Construction Approach for Dark Web Community Discussions Through Topic Modeling and Ontology Learning
DarkOnto: An Ontology Construction Approach for Dark Web Community Discussions Through Topic Modeling and Ontology Learning Open
Social networks on the dark web are rich in data that provides valuable insight into the nature of the activities on the dark web and human behaviors related to these activities. It also encompasses a diversity of ideologies, interests, an…
View article: Enhancing Ontology Integration in Medical Texts through Advanced Mechanisms
Enhancing Ontology Integration in Medical Texts through Advanced Mechanisms Open
Ontology integration involves combining several data sources into a single and unified knowledge representation. In the context of medical texts, ontology integration plays a crucial role, as these texts include essential knowledge for cli…
View article: Towards Detecting Influential Members and Critical Topics from Dark Web Forums
Towards Detecting Influential Members and Critical Topics from Dark Web Forums Open
Conventionally, the Internet consists of three parts: Surface, Deep, and Dark Webs. Inthe last two decades, a massive increase in illicit activities took place on the differentplatforms of the Dark Web. Moreover, social networks on Dark We…
View article: ASR Features Extraction Using MFCC And LPC: A Comparative Study
ASR Features Extraction Using MFCC And LPC: A Comparative Study Open
The field of Automatic Speaker Recognition (ASR) is an important and open field for researchers and scientists, especially as it has become essential in facilitating the work we do in our daily lives.Such as digital authentication and elec…
View article: Deep Learning Model CNN With LSTM For Speaker Recognition
Deep Learning Model CNN With LSTM For Speaker Recognition Open
Speech recognition is one of the most important research fields nowadays because of its necessity in our daily lives and to raise the fields of security to the highest level, It's a task of speech processing, and our main scope in this pap…
View article: ASR Features Extraction Using MFCC and LPC: A Comparative Study
ASR Features Extraction Using MFCC and LPC: A Comparative Study Open
The field of Automatic Speaker Recognition (ASR) is an important and open field for researchers and scientists, especially as it has become essential in facilitating the work we do in our daily lives.Many technologies have been developed i…
View article: Threats from the Dark: A Review over Dark Web Investigation Research for Cyber Threat Intelligence
Threats from the Dark: A Review over Dark Web Investigation Research for Cyber Threat Intelligence Open
From proactive detection of cyberattacks to the identification of key actors, analyzing contents of the Dark Web plays a significant role in deterring cybercrimes and understanding criminal minds. Researching in the Dark Web proved to be a…
View article: Linked Data: A Framework for Publishing FiveStar Open Government Data
Linked Data: A Framework for Publishing FiveStar Open Government Data Open
With the increased adoption of open government initiatives around the world, a huge amount of governmental raw datasets was released. However, the data was published in heterogeneous formats and vocabularies and in many cases in bad qualit…
View article: Voice Identification Using MFCC and Vector Quantization
Voice Identification Using MFCC and Vector Quantization Open
The speaker identification is one of the fundamental problems in speech processing and voice modeling. The speaker identification applications include authentication in critical security systems and the accuracy of the selection. Large-sca…
View article: Augmented Context-Based Conceptual User Modeling for Personalized Recommendation System in Online Social Networks
Augmented Context-Based Conceptual User Modeling for Personalized Recommendation System in Online Social Networks Open
As the data on the online social networks is getting larger, it is important to build personalized recommendation systems that recommend suitable content to users, there has been much research in this field that uses conceptual representat…
View article: Mining the Dark Web: A Novel Approach for Placing a Dark Website under Investigation
Mining the Dark Web: A Novel Approach for Placing a Dark Website under Investigation Open
In the last two decades, illicit activities have dramatically increased on the Dark Web.Every year, Dark Web witnesses establishing new markets, in which administrators, vendors, and consumers aim to illegal acquisition and consumption.On …
View article: Face Validation Based Anomaly Detection Using Variational Autoencoder
Face Validation Based Anomaly Detection Using Variational Autoencoder Open
In unconstrained facial images, large visual variations concerning pose, scale, the presence of occlusions, expressions and lighting usually cause difficulties in discriminating faces from the background accurately. As a result, some non-f…
View article: Crawling the Dark Web: A Conceptual Perspective, Challenges and Implementation
Crawling the Dark Web: A Conceptual Perspective, Challenges and Implementation Open
Internet and network technologies have evolved dramatically in the last two decades, with rising users' demands to preserve their identities and privacy.Researchers have developed approaches to achieve users' demands, where the biggest par…
View article: Building a Herbal Medicine Ontology Aligned with Symptoms and Diseases Ontologies
Building a Herbal Medicine Ontology Aligned with Symptoms and Diseases Ontologies Open
The use of traditional medicine is increasing rapidly in many societies due to its efficiency and affordability.The locally available herbs are basically used in the treatment of symptoms and diseases.Herbal Medicines have proved effective…