A5101428634- Astronomical Observations and Instrumentation
- Natural Language Processing Techniques
- Advanced Malware Detection Techniques
- Pulsars and Gravitational Waves Research
- Network Security and Intrusion Detection
- Currency Recognition and Detection
- Adversarial Robustness in Machine Learning
- Energy Load and Power Forecasting
- Vaccine Coverage and Hesitancy
- GNSS positioning and interference
- Explainable Artificial Intelligence (XAI)
- Image and Signal Denoising Methods
- Global Health and Epidemiology
- Robotic Path Planning Algorithms
- Sentiment Analysis and Opinion Mining
- Machine Learning and Data Classification
- Robotics and Sensor-Based Localization
- Topic Modeling
- Artificial Intelligence in Healthcare
- Internet Traffic Analysis and Secure E-voting
HITEC University
2021-2023
Southeast University
2022
University of Engineering and Technology Lahore
2021-2022
Schistosomiasis is a neglected tropical disease that continues to be leading cause of illness and mortality around the globe. The causing parasites are affixed skin through defiled water enter human body. Failure diagnose can result in various medical complications, such as ascites, portal hypertension, esophageal varices, splenomegaly, growth retardation. Early prediction identification risk factors may aid treating before it becomes incurable. We aimed create framework by incorporating...
Development in the field of opinion mining and sentiment analysis has been rapid aims to explore views or texts on various social media sites through machine-learning techniques with sentiment, subjectivity calculations polarity. Sentiment is a natural language processing strategy used decide if information positive, negative, neutral it frequently performed literature help organizations screen brand, item client input, comprehend needs. In this paper, two strategies for proposed word...
The rapidly prevailing Internet of Things (IoT) devices in numerous sectors, may jeopardize a vast amount confidential data, raising threats to network security. Thereby, it is crucial verify the data source and device identity ensure Thus, identification IoT substantial step securing underlying system. models which are proposed previous studies trained tested on same dataset, leads overfitting. In this work, we propose generic machine learning approach for test four publically available...
Abstract The detection of pulsar signals is a highly intensive task. Numerous artificial intelligence (AI) and machine learning techniques (ML) have been proposed to classify non-pulsar signals. While existing improve classification efficiency, these methods are limited when it comes dealing with large volumes astronomical data, the extreme problem class imbalance , polarization high recall precision. In this paper, accurately signals, Gradient Boosting (XgBoost), Light Machine (LightGBM)...
Machine learning has the potential to predict unseen data and thus improve productivity processes of daily life activities. Notwithstanding its adaptiveness, several sensitive applications based on such technology cannot compromise our trust in them; thus, highly accurate machine models require reason. Such are black boxes for end-users. Therefore, concept interpretability plays role if assisting users a couple ways. Interpretable that possess quality explaining predictions. Different...
Autonomous path following has gained tremendous popularity during the last few decades. Numerous researchers have contributed to development of highly automated navigation systems using different types sensors and their combination. However, proposed approaches do not provide a cost-efficient solution because deployment exorbitant sophisticated sensors, which remains challenging problem for customized vehicles used in academic research. To overcome this issue, study presents an economically...
Smart grids play an important role to resolves issues related electricity. Electrical load forecasting can be performed through smart acquire knowledge about the electrical that will needed in future. A combination of Stacked Autoencoding (SAE) and Gated Recurrent Unit (GRU) a Convolutional Neural Network (CNN), Grey Wolf Optimization (GWO), GRU are proposed this paper. Firstly, historical data is preprocessed then given feature selection extraction methods measure importance each feature....