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Publications (6)
Facial detection and recognition technologies have achieved remarkable advancements through the integration of ontology-driven machine learning (ML). This study examines how ontology structured framework for representing domain-specific knowledge to enhance the robustness, accuracy, and interpretability of ML models, particularly Convolutional Neur...
The inference engine is one of the main components of expert system that influences the performance of expert system. The task of inference engine is to give answers and reasons to users by inference the knowledge of expert system. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include expl...
Computer vision systems leverage machine learning techniques to interpret visual data and extract valuable information for a wide range of applications, including object and facial detection, pattern and facial recognition, image classification and annotation, and scene understanding. The integration of ontology with machine learning approaches has...
This research was carried out on the effect of alcohol on the body temperature of human being using rabbit as a case study. Three types of alcohol (Regal, Seaman, Squadron) were used on three rabbits at recorded period and the methodology used are Analysis of Variance and T-distribution for comparison. Using Analysis of Variance it was observed tha...
Traffic Control System plays a key role in overall safety of traffic and pedestrians. These prompt idea of Adaptive Traffic Light Controller based on Neuro-fuzzy techniques which were used in controlling traffic so as to design and simulate a hypothetical T-junction intersection traffic scenario to achieve congestion free and smooth traffic conditi...