Blood cell count is highly useful in identifying the occurrence of a particular disease or ailment. To successfully measure blood count, sophisticated equipment that makes use invasive methods to acquire slides images utilized. These are subjected various data analyzing techniques and classify different types cells. Nowadays, deep learning-based practice analyze data. less time-consuming require equipment. This paper implements learning (D.L) model uses DenseNet121 white cells (WBC). The...

The paper presents the design and implementation of an IOT-based health monitoring system for emergency medical services which can demonstrate collection, integration, interoperation IoT data flexibly provide support to like Intensive Care Units (ICU), using a INTEL GALILEO 2ND generation development board. proposed model enables users improve related risks reduce healthcare costs by collecting, recording, analyzing sharing large streams in real time efficiently. idea this project came so...

The paper presents the design and implementation of an Ethernet-based Smart Home intelligent system for monitoring electrical energy consumption based upon real time tracking devices at home INTEL GALILEO 2ND generation development board, which can be used in homes societies. proposed works on voice control, so that switches remotely controlled monitored with or without android app. It uses various sensors to not only monitor device but also maintaining security your house. is from app using...

Brain tumors are the most common and aggressive illness, with a relatively short life expectancy in their severe form. Thus, treatment planning is an important step improving patients’ quality of life. In general, image methods such as computed tomography (CT), magnetic resonance imaging (MRI), ultrasound images used to assess brain, lung, liver, breast, prostate, so on. X‐ray images, particular, utilized this study diagnose brain tumors. This paper describes investigation convolutional...

An electronic health record (EHR) is a technology that allows you to keep track of your information. It keeps computerized records several healthcare organizations. Records are exchanged via enterprise-wide data systems as well other networking technologies and exchanges. Patients nowadays expect immediate access their However, the sector comes with data, there worries about privacy security medical patients. As result, blockchain-based solution can assist in resolving this issue. The...

Abstract Thyroid disease has been on the rise during past few years. Owing to its importance in metabolism, early detection of thyroid is a task critical importance. Despite several existing works detection, problem class imbalance not investigated very well. In addition, studies predominantly focus binary-class problem. This study aims solve these issues by proposed approach where ten types diseases are considered. The uses differential evolution (DE)-based optimization algorithm fine-tune...

In the current cybersecurity landscape, Distributed Denial of Service (DDoS) attacks have become a prevalent form cybercrime. These are relatively easy to execute but can cause significant disruption and damage targeted systems networks. Generally, attackers perform it make reprisal sometimes this issue be authentic also. paper basically conversed about some deep learning models that will hand over descent accuracy in prediction DDoS attacks. This study evaluates various models, including...

In recent years, our life has become broader and faster by adapting to the Internet of Things (IoT). IoT, devices distributed globally that are connected improve productivity in various sectors. The network plays an important role for transferring data sink node collecting from all other nodes IoT. IoT requires energy saving since it is resource‐constrained devices. Energy preservation a difficult challenge lifetime Clustering one key techniques extend network’s life. that, cluster head...

Abstract Efficient maintenance of rig components is vital for uninterrupted and efficient drilling. Common practices rely on scheduled by hours use, often leading to either unnecessary costs or critical failures due overlooking the scope service intensity during operations. Excessive can lead repairs waste, while insufficient risks interrupting drilling operations with costly time-consuming repairs. Condition-based leverages continuous monitoring a component's health schedule more...

In Wireless Sensor Networks (WSNs), effective transmission with acceptable degradation in the power of sensor nodes is a key challenge. large network, holdup bound to occur communicating superfluous data. The aforementioned issues namely, energy, delay and data redundancy are interdependent on each other tradeoff needs be worked out improve overall performance. extant methods literature employ either centralized or distributed approach select cluster head (CH). this paper, sink originated...

Cloud computing is a new model for providing services, where delivered as service over the Internet. very popular choice among SMEs because services are provided at much lower prices compared to their own IT infrastructure. In cloud model, and data storage outsourced providers. Customers do not have full control applications data. Therefore, an added overhead of security risks comes along, becomes primary concern customers when considering services. This paper explores various deployment...

Trust Models are used to enhance secure and reliable scheduling in Distributed, Grid Cloud environment. models that being proposed or implemented Distributed environment, does not fully fit cloud computing Since the parameters have taken into consideration these trust models, Infrastructure As A Service, a suitable model is based on existing for value management IaaS parameters. Based above achieved values, done better allocation of resources further QOS services been provided users. In this...

In cloud computing, the virtualization technique is a significant technology to optimize power consumption of data center. this generation, most services are moving resulting in increased load on centers. As result, size center grows and hence there more energy consumption. To resolve issue, an efficient optimization algorithm required for resource allocation. work, hybrid approach virtual machine allocation based genetic (GA) random forest (RF) proposed which belongs class supervised...

Conventional outage management practices in distribution systems are tedious and complex due to the long time taken locate fault. Emerging smart technologies various cloud services offered could be utilized integrated into power industry enhance overall process, especially fault monitoring normalizing fields systems. This paper introduces by using one of most popular service platforms, Microsoft Azure Internet Things (IoT) Hub, together with some related services. A hardware prototype was...

Wireless body sensor networks (WBSNs) are characterized by a large number of battery-powered wireless nodes, and the most challenging aspects WBSNs node energy consumption, delay, security (communication data) while maintaining regular network (WSN) capabilities. Data aggregation, as common procedure in data gathering applications, can waste lot since nodes may stay listen to state even when they not receiving during collection process. In this research work, introducing...

Cloud computing in today's environment plays a vital role, by providing efficient and scalable computation based on pay per use model. To make more reliable efficient, it must be high resources utilized. improve resource utilization efficiency cloud, task scheduling allocation critical role. Many researchers have proposed algorithms to maximize the throughput taking into consideration heterogeneous cloud environments. This work proposes an algorithm using DBSCAN (Density-based spatial...

The current generation of cities with vast cultures and heritage is influenced by various factors like immigrants from different countries, religious heritage, tourism, many more factors. Segregation in geographical regions one the ways to find patterns gender, religion, age, income, more. In this study, an HDBSCAN-based activity segregation model using Google POI (Point Interest) proposed study multi-density reviewers, possible Indian names, activities Dublin metropolitan area. work,...

The demand for Wireless Sensor Networks is increasing day by because of their diverse nature. Due to the limited energy, it a complex task retract sensor node after deployment. So, there requirement network maintainability before deployment phase its smooth working. It achieved in three phases: hardware node, communication and external environmental phase. This paper focuses on A novel framework MD-MARS presented enhance maintainability. classified into phases namely analysis performance...

The paper presents the design and implementation of an Ethernet-based intelligent automated system for conserving electrical energy using a INTEL GALILEO 2ND generation development board, which can be used in large organizations like University or office. proposed works on automation, so that devices switches remotely controlled monitored without any human intervention. It uses available infrastructure classroom includes surveillance camera Ethernet connectivity as to minimize cost criteria....