A5077499526- Complex Systems and Time Series Analysis
- Financial Markets and Investment Strategies
- Sesquiterpenes and Asteraceae Studies
- Stock Market Forecasting Methods
- Essential Oils and Antimicrobial Activity
- Plant Ecology and Taxonomy Studies
- Plant Diversity and Evolution
- Cutaneous Melanoma Detection and Management
- Drug-Induced Hepatotoxicity and Protection
- Natural Antidiabetic Agents Studies
- Ethnobotanical and Medicinal Plants Studies
- Heart Rate Variability and Autonomic Control
- Emotion and Mood Recognition
- Plant biochemistry and biosynthesis
- Entomological Studies and Ecology
- Skin Protection and Aging
- Optical Coherence Tomography Applications
- EEG and Brain-Computer Interfaces
National University of Computer and Emerging Sciences
2024
Government Sadiq College Women University
2023
National University of Sciences and Technology
2004-2017
The present study is intended to compare and document the therapeutic flora, their remedial use, traditional knowledge used frequently by residents of Cholistan desert Pothwar (Potohar) Plateau Punjab, Pakistan. old endemic remedies these areas are diminishing due lack qualitative quantitative research.The data was generated unstructured-interviews, informal meetings, open-ended conversations group discussions with local people health healers area. Reported literature also utilized.The...
Abstract Artemisia subg. Seriphidium is one of the largest groups within , encompassing more than hundred species, some them having considerable ecological and economical importance. However, evolution has received less attention in comparison to other subgenera probably, apart from difficulty sampling throughout its very large distribution area, because low molecular morphological variability observed previous studies. Here, we use thorough taxonomic both reconstruct evolutionary history...
Dermatological conditions are primarily prevalent in humans and caused by environmental climatic fluctuations, as well various other reasons. Timely identification is the most effective remedy to avert minor ailments from escalating into severe conditions. Diagnosing skin illnesses consistently challenging for health practitioners. Presently, they rely on conventional methods, such examining condition of skin. State-of-the-art technologies can enhance accuracy disease diagnosis utilizing...
This paper focuses on utilizing Electroencephalography (EEG) signals and machine learning techniques in developing an objective stress assessment framework. The study aimed to investigate the correlation between EEG Perceived Stress Scale (PSS) by data segmentation technique. PSS scores are employed record perceived levels of individuals. These serve as basis for categorizing into three classes: i) two class: stressed non-stressed ii) stressed, mildly non-stressed, iii) four highly...