Muhammad Aman Khan

Muhammad Aman Khan
Universiti Teknologi PETRONAS | UTP · Department of Computer and Information Sciences

About

9
Publications
2,397
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71
Citations
Introduction
Muhammad Aman Khan currently works at the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS. Muhammad does research in Artificial Intelligence and Data Mining. Their current project is 'Key Concept Identification from text'.

Publications

Publications (9)
Article
Full-text available
Internet of Things (IoT) has attracted tremendous research attention in the recent past fromindustry and academia. IoT is quite helpful in uplifting living standards by transforming conventional technology into smart systems. Greenhouse production is considered as an ultimate solution for rising global food demands with the growing population. Gree...
Article
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Greenhouse industry has received great attention and experienced tremendous growth in recent past across the globe. However, energy consumption and labor cost in greenhouses accounts for more than 50% of the cost of greenhouse production. This demands an Internet-of-Things (IoT) based smart solution for automation of greenhouse environment-related...
Article
Full-text available
Automatic key concept identification from text is the main challenging task in information extraction, information retrieval, digital libraries, ontology learning, and text analysis. The main difficulty lies in the issues with the text data itself, such as noise in text, diversity, scale of data, context dependency and word sense ambiguity. To cope...
Article
Full-text available
The effectiveness of automatic key concept or keyphrase identification from unstructured text documents mainly depends on a comprehensive and meaningful list of candidate features extracted from the documents. However, the conventional techniques for candidate feature extraction limit the performance of keyphrase identification algorithms and need...
Article
Full-text available
The effectiveness of automatic key concept or keyphrase identification from unstructured text documents mainly depends on a comprehensive and meaningful list of candidate features extracted from the documents. However, the conventional techniques for candidate feature extraction limit the performance of keyphrase identification algorithms and need...
Article
Full-text available
Automatic key concept extraction from text is the main challenging task in information extraction, information retrieval and digital libraries, ontology learning, and text analysis. The statistical frequency and topical graph-based ranking are the two kinds of potentially powerful and leading unsupervised approaches in this area, devised to address...
Article
Full-text available
Ontologies are used to explicitly represent knowledge of a various domain, and thus provide a shared understanding. Therefore, with the explosion of textual information on the Internet they are becoming a key technology for semantic-driven modeling, knowledge interchange and integration. Islam is one of the most popular religions of the world and Q...
Chapter
Routing is the backbone of any computer network and mobile ad hoc networks (MANETs) are no exception to this rule. Position-based routing protocols are special kind of routing protocol that uses position information to route packet from source to destination. These protocols are considered as the most scalable solution, as they do not cause floodin...

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