In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It expands operational boundaries of 4.0 and leverages patient-centric digital wellness. 5.0 focuses on real-time patient monitoring, ambient control wellness, privacy compliance through assisted technologies like artificial intelligence (AI), Internet-of-Things (IoT), big data, networking channels. However, procedures, verifiability prediction models, resilience, lack ethical regulatory frameworks are...

Industry 4.0 have witnessed a paradigm shift from cyber-physical systems (CPS) that aims at massive automation, towards more customer-driven approach. The has been attributed to the design of hyper-cognitive systems, integration virtual and extended reality, digital machinery prototyping twin designs, trusted machine boundaries, collaborative robots, artificial intelligence (AI)-based supply chains. This new wave, termed 5.0, is expected leverage production with user-centric customization...

The Metaverse allows the integration of physical and digital versions users, processes, environments where entities communicate, transact, socialize. With shift towards Extended Reality (XR) technologies, is envisioned to support a wide range applicative verticals. It will seamless mix virtual worlds (realities) and, thus, be game changer for Future Internet, built on Semantic Web framework. ably assisted by convergence emerging wireless communication networks (such as Fifth-Generation...

Recently, unmanned aerial vehicles (UAVs) have gained attention due to increased use-cases in healthcare, monitoring, surveillance, and logistics operations. UAVs mainly communicate with mobile base stations, ground stations (GS), or networked peer UAVs, known as UAV swarms. GS, swarms, over wireless channels support mission-critical Communication latency, bandwidth, precision are of prime importance such With the rise data-driven applications, fifth-generation (5G) networks would face...

In Smart Grid (SG), Transactive Energy Management (TEM) is one of the most promising approaches to boost consumer participation in energy generation, management, and establishing decentralized market models using Peer-to-Peer (P2P). P2P, a prosumer produces electric at their place Renewable Resources (RES) such as solar energy, wind etc. Then, this generated traded with consumers (who need energy) nearby locality. P2P facilitates exchange localized micro-energy markets TEM system. Such...

Cryptocurrencies are peer-to-peer-based transaction systems where the data exchanges secured using secure hash algorithm (SHA)-256 and message digest (MD)-5 algorithms. The prices of cryptocurrencies highly volatile follow stochastic moments have reached their unpredictable limits. They commonly used for investment become a substitute other types like metals, estates, stock market. Their importance in market raises strict requirement sturdy forecasting model. However, cryptocurrency price...

In the present era, social media platforms such as Facebook, WhatsApp, Twitter, and Telegram are significant sources of information distribution, people believe it without knowing their origin genuineness. Social has fascinated worldwide in spreading fake news due to its easy availability, cost-effectiveness, ease sharing. Fake can be generated mislead community for personal or commercial gains. It also used other benefits defaming eminent personalities, amendment government policies, etc....

The fake news "infodemic", facilitated by social media and mobile message sharing platforms, has progressed from causing a nuisance to seriously impacting law order through deliberate large-scale manipulation of public sentiments. There are social, religious, political, economic dimensions the phenomenon, providing enough motivation for interested parties push biased opinions, claims, conspiracies fraud many naïve information consumers. ease with which can be created propagated makes it...

The smart healthcare system has improved the patients quality of life (QoL), where records are being analyzed remotely by distributed stakeholders. It requires a voluminous exchange data for disease prediction via open communication channel, i.e., Internet to train artificial intelligence (AI) models efficiently and effectively. nature channels puts privacy at high risk affects model training collected centralized servers. To overcome this, an emerging concept, federated learning (FL) is...

Mobile applications have rapidly grown over the past few decades to offer futuristic applications, such as autonomous vehicles, smart farming, and city. Such require ubiquitous, real-time, secure communications deliver services quickly. Toward this aim, sixth-generation (6G) wireless technology offers superior performance with high reliability, enhanced transmission rate, low latency. However, managing resources of aforementioned is highly complex in precarious network. An adversary can...

The Industrial Revolution has shifted towards Industry 5.0, reinventing the 4.0 operational process by introducing human elements into critical decision processes. 5.0 would present massive customization via transformative technologies like cyber-physical systems, artificial intelligence (AI), and big-data analytics. In AI models must be transparent, valid, interpretable. employ machine learning (ML) deep (DL) mechanisms to make industrial autonomous, reduce downtime, improve maintenance...

Many security standards and cryptographic solutions exist for different applications such as agriculture, aircraft, banking systems etc. but a more effective efficient solution can be given by combining existing technologies with blockchain. This work addresses the problems of previous works scalability, immutability, robustness, network latency, auditability, traceability. Satoshi Nakamoto introduced Blockchain (BC) to tackle Address Resolution Protocol (ARP) spoofing attacks, Distributed...

Recently, in healthcare organizations, real-time data have been collected from connected or implantable sensors, layered protocol stacks, lightweight communication frameworks, and end devices, named the Internet-of-Medical-Things (IoMT) ecosystems. IoMT is vital driving analytics (HA) toward extracting meaningful data-driven insights. concerns raised over sharing IoMT, stored electronic health records (EHRs) forms due to privacy regulations. Thus, with less data, model deemed inaccurate. a...

In recent years, artificial intelligence (AI) has become one of the most prominent fields in autonomous vehicles (AVs). With help AI, stress levels drivers have been reduced, as work is executed by AV itself. increasing complexity models, explainable (XAI) techniques handy tools that allow naive people and developers to understand intricate workings deep learning models. These can be paralleled AI increase their interpretability. One essential task AVs able follow road. This paper attempts...

Cryptographic forms of money are distributed peer-to-peer (P2P) computerized exchange mediums, where the exchanges or records secured through a protected hash set secure algorithm-256 (SHA-256) and message digest 5 (MD5) calculations. Since their initiation, prices seem highly volatile came to amazing cutoff points during COVID-19 pandemic. This factor makes them popular choice for investors with an aim get higher returns over short span time. The colossal high low in digital costs have...

There is a massive transformation in the traditional healthcare system from specialist-centric approach to patient-centric by adopting modern and intelligent solutions build smart system. It permits patients directly share their medical data with specialist for remote diagnosis without any human intervention. Furthermore, monitoring of utilizing wearable sensors, Internet Things (IoT) technologies, artificial intelligence (AI) has made treatment readily accessible affordable. However,...

With the growth in food products’ usage, ensuring their quality and safety has become progressively difficult. Specifically, traceability turns out to be a very critical task for retailers, sellers, consumers, surveillance authorities, other stakeholders supply chain system. There are requirements authenticity verification (correct declaration of cultivation, origin, variety), checks (e.g., justification higher prices), preventing products from fraudsters industry. The ubiquitous promising...

The electric grid has already been transitioned towards a more flexible, intelligent, and interactive system, i.e., Smart Grid (SG) for load management, energy prediction, higher penetration of renewable generation, future planning, operations. However, there is huge gap between demand supply due to the rise different products vehicles. Renewable Energy Harvesting (REH) plays critical role in managing this response gap, where generated from various resources such as Solar PhotoVoltaic (SPV)...

Abstract In recent years, the Internet of Things (IoT) has become very popular as it numerous applications in industrial and research domain. Moreover, features IoT systems play a crucial role development smart cities. It enables cities their subsystems to monitor, control, manage heterogeneous devices remotely by extracting communicating real‐time data. However, automated are vulnerable many security threats like tempered protocols, device hijacking, unauthorized access. Motivated...

In recent years, advancements in electric vehicle (EV) technology and rising petrol prices have increased the demand for EVs also made them important Smart Grid (SG) economy. During high energy demand, Vehicle to (V2G) comprises a notable feature that returns stored back grid. However, due dynamic nature of availability, determining best charging discharging strategy is quite difficult. The existing approaches need model predict uncertainty optimize scheduling problem. Further, other issues...

Cardiovascular diseases (CVDs) are a significant cause of death worldwide. CVDs can be prevented by diagnosing heartbeat sounds and other conventional techniques early to reduce the harmful effects caused CVDs. However, it is still challenging segment, extract features, predict in elderly people. The inception deep learning (DL) algorithms has helped detect various types at an stage. Motivated this, we proposed intelligent architecture categorizing into normal murmurs for We have used...