To implement an AI-based GDM screening and outcome prediction platform for a diverse demographic population of South Asia by selecting Pakistan as a base case study.
Descriptive and Predictive Analysis of infectious diseases
Simulation of ASV with autonomous navigation and collision avoidance in any Simulation Software. Reinforcement Learning based trained algorithm is used.
Spatio-temporal data mining techniques are used for crime analysis for their knowledge oriented and meaningful visual representation of crime incidents. Visual representation of crime patterns assist analysts with in-depth understanding of crime behavior with time and location. The representation can be made more knowledgeable and perceptible by incorporating details of socio-economic factor and areafis geographical […]
This paper presents a framework to perform concept- and keyword-based English search of the Holy Quran. The concept-based search is challenging as it should be able to handle the abstract queries which often do not occur verbatim in text. In order to implement it, a Qur’anic English WordNet is implemented, which is a WordNet-derived database […]
Heart failure is considered as one of the major reasons of death worldwide. The amount of deaths from heart failure surpasses the amount of deaths resulting from any other causes. This point makes heart disease as one of the most dangerous disease resulting in human deaths worldwide. Latest studies have concentrated on the usage of […]
It won’t be an overstatement to say that, an internet service has become a commodity, a part and requirement of every household. This omnipresence of the internet has brought about major shifts in our lifelong ways, that is, we have a total new way of socializing; a disruptive educational model; paperless workspaces; branchless banks, just […]
The prediction of movies popularity is challenging problem. Movies prediction is a hot topic for movie makers, producers, directors, production houses and also there is a large amount of data related to the movies is available over the internet, because of that much data available, it is an interesting data mining topic. Every viewer, producer, […]
Machine learning algorithms have great potential for exploring the hidden patterns in the data sets of the medical domain. These patterns can be utilized for clinical diagnosis. Since medical diagnostic decision support systems have become more popular in clinical routine, it is critical to decide the best model to provide reliable machine learning techniques in diagnostic problems. The purpose of my research thesis is […]
Retaining customers is an important challenge for the telecom industry in this day and age. The changing behavior of the users and the type of services being offered every day makes it difficult to predict the churners. Thus the service providers find it more convincing to retain an ongoing customer rather than running after new […]