Jubaer Ahmad

With the development of computer vision and deep learning technologies, rapidly expanding approaches have been introduced that allow anyone to create videos and pictures that are both phony and incredibly lifelike. The term deepfake methodology is used to describe such technologies. Face alteration can be performed both in videos and pictures with extreme realism using deepfake innovation. Deepfake recordings, the majority of them targeting politicians or celebrity personalities, have been widely disseminated online. On the other hand, different strategies have been outlined in the research to combat the issues brought up by deepfake. In this paper, we carry out a review by analyzing and comparing (1) the notable research contributions in the field of deepfake models and (2) widely used deepfake tools. We have also built two separate taxonomies for deepfake models and tools. These models and tools are also compared in terms of underlying algorithms, datasets they have used and their...

Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to understand complex verbal patterns and generate coherent and appropriate replies for the situation. Though this success of LLMs has prompted a substantial increase in research contributions, rapid growth has made it difficult to understand the overall impact of these improvements. Since a lot of new research on LLMs is coming out quickly, it is getting tough to get an overview of all of them in a short note. Consequently, the research community would benefit from a short but thorough review of the recent changes in this area. This article thoroughly overviews LLMs, including their history, architectures, transformers, resources, training methods, applications, impacts, challenges, etc. This paper be...

The energy consumption is increasing at an alarming rate due to the growth of world population. Hybrid renewable energy system (HRES) is becoming more trending as the sources involved such as wind and solar radiation to generate energy is environmental friendly, renewable and sustainable while cost free. Hybrid renewable energy is more reliable, stable and efficient compared to the single renewable energy. Furthermore, the limitation of energy production using single renewable energy will improve by combining two or more such system to form HRES. Solar and wind energy acts as a compensation for each other and the combination of these two systems will be able to satisfy energy demand to a certain degree. This review paper includes various and appropriate sizing and optimization techniques involved to optimize HRES in order to achieve the energy demand while minimizing the cost required.