This chapter provides a comprehensive examination of the synergistic relationship between serverless computing and event-driven architectures (EDA) in fostering agile software development within the evolving landscape of distributed computing. It begins by defining the core principles of serverless computing, including its "no server management" paradigm, pay-for-value billing, automatic scalability, and inherent fault tolerance. Subsequently, it delves into the foundational concepts of EDA, outlining its components, messaging models, and architectural topologies. The chapter then explores how the convergence of these two paradigms significantly accelerates development cycles, reduces operational overhead, enhances developer productivity, and enables dynamic scalability and cost efficiency, particularly within microservices and CI/CD frameworks. Real-world applications across various domains, from web backends to IoT, are highlighted to illustrate their practical impact. Finally, the report addresses critical challenges such as cold starts, vendor lock-in, debugging complexities, and security in a shared responsibility model, while also forecasting future directions, including AI-driven orchestration, serverless at the edge, and hybrid cloud strategies. This analysis aims to offer a rigorous academic perspective on how serverless EDA empowers organizations to navigate the complexities of modern distributed systems.

Face recognition system is the most crucial work in today's world. It plays an essential role for a variety of reasons, including 1) searching for a person, 2) matching a person who committed a crime, 3) various cosmetologically processes, and many others. Throughout all of humanity's organs, a person's face is particularly important. Human personalities can be altered by even minor changes in facial shape. As a result of genetic mutations, severe injuries, or strong medication, a human face can develop a variety of deformities, which may have the largest influence on individuals. As a result, the rapid change may damage the recognition process in the future. In the present environment, where an epidemic-like state has already materialized, grave health issues are persistently impacting the entire population. Thus, using substantial quantities of medication is solely one method of treating these medical conditions. For this reason, taking large amounts of medication may be a contributing factor to a number of facial abnormalities. In order to evaluate these human facial imperfections computer vision with human interaction was chosen for this investigation. This research examines an input image of a human's frontal face and employs a segregation approach to distinguish the deformed faces. To identify those facial images, this strategy first implemented the Viola-Jones face detection algorithm, then Fast Fourier Transformation (FFT) and Discrete Cosine Transformation analysis for feature extraction, and finally Euclidean distance measurement techniques to analyze the input faces.

Millimeter wave and sub-millimeter wave signal propagation suffers due to absorptive and dispersive processes present in the atmosphere. Moreover, the resulting attenuation and temporal group delay increase in unfavourable weather conditions. This signal attenuation is one of the most common type of hazards in ultrafast wireless communication systems. Primarily the existence of suspended atmospheric particles, which are commonly referred as aerosols, is responsible for this scattering mechanism. The authors in this paper, have presented a comprehensive analysis of terahertz (THz) signal attenuation owing to different types of atmospheric scattering mechanisms in Indian subcontinent under tropical climatic belt. The frequency-dependent properties of the signal attenuation have been analysed using an indigenous-ly developed Non-Linear Terahertz Attenuation Model (NLTAM). The findings show that due to multiple-scattering from fog-based aerosols, the peak-attenuation level decreases from that of the single-scattering outcome. The nature of THz signal attenuation spectra in foggy atmosphere, agrees closely with experimental findings of the same, for near THz or IR signal transmission in adverse weather scenario in nontropical region. For the first time, the author has developed NLTAM simulator to study the THz signal attenuation for different scattering mechanisms under foggy atmosphere with low visibility, with special emphasis on Indian subcontinent and further report-ed a comparative analysis of single-scattering and multi-scattering effects.