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Metaverse is a popular trend in the development of the Internet and the next mega phase of the Internet after the global pandemic. Metaverse is a socio-technical system aimed at providing users with real-world, immersive, and synchronous 3D experiences through an interoperable, persistent multi-user platform. It will allow people to interact seamlessly, work, learn, and shop. It is a virtual space where you can have autonomous and persistent shared spaces that enable multi-sensory interactions with augmented reality. This research paper presents a comprehensive architecture that examines the latest metaverse developments in terms of cutting-edge technology and the metaverse ecosystem, demonstrating the potential of the "big boom" of the world wide web. This work gives insights of modern technologies used in the metaverse - Mixed Reality, AR, and VR and discusses the democratization of e-commerce with AR/VR and also scenario of how many companies is coming up with new digitally-enabled selling concepts by integrating the metaverse to upscale their business. This study views metaverse as a phenomenon involving relevant business opportunities in online shopping and presents our theoretical consideration of this overarching concept. [ABSTRACT FROM AUTHOR]

Wireless Sensor Network consist thousand number of intelligent tiny sensor nodes that form a self-sustainable and self-organising network. These network offers various potential interdisciplinary applications such as in infrastructure development for smart cities, critical health care, precision agriculture etc. Recent technological development has steered up demand of pervasive networks in day-to-day life. However, the fast pace development of wireless sensor network is hampered by few constraints like coverage problem and connectivity issues between nodes that in turn affects network lifetime. Strategic deployments of sensor nodes help in providing some pre-determined number of nodes in ensuring optimal or suboptimal coverage in designated field that also prolong network lifetime. Since maximum coverage with ensured connectivity are two separate issues, however together either they are addressed for finding set of most probable location of nodes or to density of nodes for utmost coverage of event in monitored area. These coverage cavities cause connectivity issues between normal nodes, router nodes and gateway nodes affecting performance of nodes opens interesting research thrusts. Here in this paper an approach has been presented in calculating critical points at boundary of region of interest (ROI) for multi-tier hierarchical network to detect and recovery from coverage cavities and attain long life for network. [ABSTRACT FROM AUTHOR]

Technological advancements have increased the amount of people using online social networking sites, which has led to an increase in cyberbullying. Online Social Networking sites provide a vast network for bullies to attack victims. Cyberbullying is a catch-all phrase for a wide range of online abuse, including but not limited to harassment, doxing and reputation assaults. These attacks often leave permanent mental scar(s) on the victim(s), which leads to drastic measures like depression, self-harm and suicidal thoughts. Given the consequences of cyberbullying, there is a dire need to take action against such crimes and to prevent them. This paper proposes a novel architecture to efficiently detect cyberbullying pattern. The proposed architecture utilizes the pre-trained model BERT to detect cyberbullying behavior on online platforms. The proposed models were tested on dataset taken from Kaggle and achieved accuracy of 80 percent. This paper provides a thorough examination of the various methodologies used for cyberbullying detection. [ABSTRACT FROM AUTHOR]