12 citations · 36 across the 6 of their papers we have counts for
6 papers
Hierarchical Text Classification of Urdu News using Deep Neural Network
Taimoor Ahmed Javed, Waseem Shahzad, Umair Arshad
Digital text is increasing day by day on the internet. It is very challenging to classify a large and heterogeneous collection of data, which require improved information processin…
Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu
Usama Khalid, Aizaz Hussain, Muhammad Umair Arshad +2
Urdu is a widely spoken language in South Asia. Though immoderate literature exists for the Urdu language still the data isn't enough to naturally process the language by NLP techn…
NUBOT: Embedded Knowledge Graph With RASA Framework for Generating Semantic Intents Responses in Roman Urdu
Johar Shabbir, Muhammad Umair Arshad, Waseem Shahzad
The understanding of the human language is quantified by identifying intents and entities. Even though classification methods that rely on labeled information are often used for th…
A Diverse Clustering Particle Swarm Optimizer for Dynamic Environment: To Locate and Track Multiple Optima
Zahid Iqbal, Waseem Shahzad
In real life, mostly problems are dynamic. Many algorithms have been proposed to handle the static problems, but these algorithms do not handle or poorly handle the dynamic environ…
A comparative study of machine learning techniques used in non-clinical systems for continuous healthcare of independent livings
Zahid Iqbal, Rafia Ilyas, Waseem Shahzad +1
New technologies are adapted to made progress in healthcare especially for independent livings. Medication at distance is leading to integrate technologies with medical. Machine le…
Scaling up for high dimensional and high speed data streams: HSDStream
Irshad Ahmed, Irfan Ahmed, Waseem Shahzad
This paper presents a novel high speed clustering scheme for high dimensional data streams. Data stream clustering has gained importance in different applications, for example, in…