This project aims to explore how virtual and augmented reality technologies are influencing student engagement and learning outcomes in higher education. By examining the use of these immersive technologies in educational settings, the study will…
Read MoreThis project focuses on examining how digital marketing strategies in the retail industry influence consumer purchase behavior. By analyzing different digital marketing tactics such as social media, email campaigns, and influencer marketing, the study aims…
Read MoreThis project aims to study the kinetic profiles of catalytic reactions in a fixed-bed reactor for the production of biodiesel from waste cooking oil. By analyzing the rate at which the reactants are converted into…
Read MoreSocial media influencers have a significant impact on language trends and communication styles in younger generations. They shape popular slang, introduce new expressions, and influence the tone and style of communication. This phenomenon often blurs…
Read MoreDetecting and preventing cyber attacks using machine learning algorithms involves using advanced technological tools to analyze and predict potential threats in the digital environment. By utilizing machine learning algorithms, security systems can constantly learn and…
Read MoreMetal-Organic Frameworks (MOFs) are a class of porous materials with diverse structures and exceptional surface areas, making them ideal candidates for catalysis in green chemistry reactions. This project aims to investigate the catalytic activity of…
Read MoreBiochar application in maize fields has gained attention for its potential to improve soil properties and enhance crop growth. This research project aims to evaluate the impact of biochar on soil fertility, water retention, and…
Read MoreNeurodegenerative diseases, such as Alzheimer's and Parkinson's, are debilitating conditions characterized by the progressive loss of neurons. Oxidative stress, caused by an imbalance between antioxidants and reactive oxygen species, is believed to play a crucial…
Read MoreThe project focuses on developing a machine learning-based system to detect and remove malware in embedded systems. Embedded systems are vulnerable to malware attacks, and traditional security measures are often ineffective. By leveraging machine learning…
Read MoreThis project aims to study how climate change is impacting the range and abundance of rare and endangered plant species in a particular geographic area. By analyzing distribution patterns and population dynamics, researchers seek to…
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