Volume 1, Issue 2 (September 2024)

Medical Image Analysis plays a pivotal role in modern healthcare by extracting critical insights from imaging modalities such as X-rays, MRIs, CT scans, and ultrasounds. It significantly aids in diagnosis, treatment planning, and monitoring disease progression by advancing the accuracy and efficiency of image interpretation through computational techniques.

The main objective of this Review manuscript is to describe the summary of literature on various execution of blockchain technology, similarly some computerized ledger-based techniques in different fields beyond the bounds of its applications to digital currency and to extract the valid conclusions. The Blockchain technology gaining popularity in last ten years and now increasing more and more in different areas like healthcare, IOT, Cryptocurrency etc. Different types of Blockchain technology usage and some techniques used in which, different applications, inspection of various security and privacy related issues are main focus of the review study.

What if your application could scale instantly, run anywhere, and respond to events within milliseconds—without ever managing a server? That’s not a futuristic dream; it's the promise of Serverless Edge Computing, the next major milestone in the evolution of distributed systems.

In an era dominated by rapid technological advancement, the ability to detect and respond to real-world scenarios using intelligent systems has become a necessity. Traditional monitoring systems, dependent on human oversight, often fall short in speed, accuracy, and scalability. Deep learning and artificial intelligence (AI) are now enabling machines to “see” far beyond the human eye—interpreting scenes, detecting anomalies, and making real-time decisions with incredible efficiency.

In today's digital-first world, where almost all business products are accessed through mobile applications or websites, design has become a crucial part. It is not just about making the product look good; it's about crafting experiences that are exceptionally impressive yet user-friendly (i.e., making the product easy to navigate). It involves creating a seamless, impactful, and captivating experience from research to launch.

The past decade has witnessed unprecedented growth in wireless communication technologies. The rollout of 5G networks has transformed how we interact with digital systems, enabling high-speed data transfer and ultra-low latency. As technology advances, the focus has shifted toward 6G, promising intelligent, autonomous, and immersive digital experiences. A significant innovation is the concept of Digital Twins—virtual replicas of physical systems that simulate, predict, and optimize real-world processes.

Technology has become an integral part of contemporary life, shaping how individuals communicate, work, learn, and interact with the world. While technological advancements have significantly improved efficiency and convenience, they have also begun to influence human behavior in profound ways. This raises an important concern: while technology should serve as a tool to support human progress, it must not become a controlling force that dictates behavior and decision-making.

Social networking platforms have become central to modern communication, generating vast amounts of interconnected data daily. Social Network Analysis (SNA) addresses the challenge of analyzing these relationships by modeling social systems as graphs, where users are represented as nodes and relationships as edges. Graph algorithms play a crucial role in extracting meaningful insights, such as identifying influential users, detecting communities, and improving recommendation systems.

We live in a world where screens surround us at every moment—phones, laptops, TVs, and tablets. While digital tools make life easier, they have also made us more restless, distracted, and less connected with the real world. A "Digital Detox" is a short break from technology to rest the mind and reconnect with real-life experiences, learning to use gadgets wisely and making space for peace and focus.

This paper explores the implementation of real-time data analytics pipelines using Apache Kafka for data ingestion and Apache Spark for stream processing. With the exponential growth of big data, the ability to process and analyze information as it arrives has become critical for businesses. We discuss the architecture, scalability, and common use cases of this powerful combination in handling high-velocity data streams.