There has been a sharp increase in liver disease globally, and many people are dying without even knowing that they have it. As result of its limited symptoms, it is extremely difficult to detect until the very last stage. In event early detection, patients can begin treatment earlier, thereby saving their lives. It become increasingly popular use ensemble learning algorithms since perform better than traditional machine algorithms. this context, paper proposes novel architecture based on...

Unmanned Aerial Vehicles (UAVs), also known as drones, have advanced greatly in recent years. There are many ways which drones can be used, including transportation, photography, climate monitoring, and disaster relief. The reason for this is their high level of efficiency safety all operations. While the design strives perfection, it not yet flawless. When comes to detecting preventing collisions, still face challenges. In context, paper describes a methodology developing drone system that...

Over the past few decades, prevalence of chronic illnesses in humans associated with high blood sugar has dramatically increased. Such a disease is referred to medically as diabetes mellitus. Diabetes mellitus can be categorized into three types, namely types 1, 2, and 3. When beta cells do not secrete enough insulin, type 1 develops. create but body unable use it, 2 results. The last category called gestational or This happens during trimesters pregnancy women. Gestational diabetes,...

Vehicular ad hoc networks (VANETs) are wireless of automotive nodes. Among the strategies used in VANETs to increase network connectivity broadcast scheduling, data aggregation, and vehicular node clustering. In context extremely high mobility ambiguous vehicle distribution (on road), degrade flexibility quick topology, facing significant issues such as physical layout construction unstable connections. These challenges make it difficult for communication be robust, reliable, scalable,...

Purpose This study aims to explore the determinants of digital technology adoption within micro, small and medium enterprises (MSMEs) operating in a developing economy. Grounded theoretical frameworks fit-viability task-technology fit models, this investigates impact environmental fit, viability on intention adopt technologies among MSMEs. Design/methodology/approach validates model using structural equation modeling, data collected from 280 experienced respondents employed MSMEs India....

Cloud computing has become an increasingly prevalent topic in the recent years. However, each and every explanation of cloud its terminologies don't reach to a great number beginners IT sectors. This research paper is layout literature analysis it includes proposals discussions regarding networks. It introduces along with evolution benefits offer. The also explains details classifications concepts associated computing; thereby throws light on advancement efficiency various fields. findings...

Abstract Ever since Ether is launched as a digital currency, its rise has been rapid. It currently the second most valuable currency in world. There are more than 1 million transactions happening on Ethereum network every day, and this number expected to continue increase. Due increasing of transactions, fraudulent have also increased, which resulted large amount money being lost destroyed livelihoods many individuals. their similarity valid it extremely difficult distinguish between them....

Irrigation systems are a crucial research area because it is essential to conserve fresh water and utilize wisely. As part of this study, the reliability predicting usage in present future investigated order develop an effective prediction model communicate demand. In improve prediction, we share updated with nearby farmers. forecast irrigation requirements, recommended utilizes Internet Things (IoT), k-nearest neighbours (KNN), cloud storage, long short-term memory (LSTM), adaptive network...

The instances of privacy and security have reached the point where they cannot be ignored. There has been a rise in data breaches fraud, particularly banks, healthcare, government sectors. In today’s world, many organizations offer their specialists bug report programs that help them find flaws applications. breach on its own does not necessarily constitute threat or attack. Cyber-attacks allow cyberpunks to gain access machines networks steal financial esoteric information as result breach....

Abstract The rapid advancement of computation techniques and cloud computing has led to substantial advancements in Cyber-Physical Systems (CPS), particularly the field health care. There are a variety ways which CPS is used healthcare today, including delivering intelligent feedback systems, automatically updating patient data digitally, monitoring patients passively with biosensors, etc. In recent years, cyber-physical systems have become capable making lifesaving decisions as they...

Abstract For humankind, skin cancer is a troubling illness. Given the rapid growth rate of cancer, its high treatment cost and death rate, need for early detection has been increased. Now, world evolved in way where possible by image pre-processing machine learning methods. One well known worked method Convolutional Neural Network (CNN). After segmentation dermoscopic images, features affected cells are extracted using feature extraction technique. We propose convolutional neural network...

Wireless Body Area Network (WBAN) is a trending technology of Sensor Networks (WSN) to enhance the healthcare system. This system developed monitor individuals by observing their physical signals offer activity status as wearable low-cost that considered an unremarkable solution for continuous monitoring cardiovascular health. Various studies have discussed uses WBAN in Personal Health Monitoring systems (PHM) based on real-world health models. The major goal early and fast analysis but it...

An intense level of academic pressure causes students to experience stress, and if this stress is not addressed, it can cause adverse mental physical effects. Since the pandemic situation, have received more assignments other tasks due shift classes an online mode. Students may realize that they are stressed, but be evident from factors, including sleep deprivation changes in eating habits. In context, paper presents a novel ensemble learning approach proposes architecture for...

Purpose Automation of detecting cracked surfaces on buildings or in any industrially manufactured products is emerging nowadays. Detection the surface a challenging task for inspectors. Image-based automatic inspection cracks can be very effective when compared to human eye inspection. With advancement deep learning techniques, by utilizing these methods authors create automation work particular sector various industries. Design/methodology/approach In this study, an upgraded convolutional...

A collection of interlinked stand-alone computers which function together in unity as a single incorporated computing resource is kind parallel or distributed processing systems called the cluster. Clusters and grids are intercommunicate among them act resource. This type functionality can be referred to multi-computer architecture that runs on certain considerations. Nevertheless cloud came forth more illustrious programming model handle large data sets using clusters. nothing but how...

With the pandemic gripping entire humanity and with uncertainty hovering like a black cloud over all our future sustainability growth, it became almost apparent that though development advancement are at their peak, we still not ready for worst. New better solutions need to be applied so will capable of fighting these conditions. One such prospect is delivery, where everything has changed, each parcel, which was passed people people, department department, made contactless throughout as...