COVID-19 pandemic is increasing in an exponential rate, with restricted accessibility of rapid test kits. So, the design and implementation testing kits remain open research problem. Several findings attained using radio-imaging approaches recommend that images comprise important data related to coronaviruses. The application recently developed artificial intelligence (AI) techniques, integrated radiological imaging, helpful precise diagnosis classification disease. In this view, current...

Abstract In recent days, the gigantic generation of medical data from smart healthcare applications requires development big classification methodologies. Medical can be utilized for visualizing hidden patterns and finding presence disease data. this article, we present an efficient multi‐kernel support vector machine (MKSVM) fruit fly optimization algorithm (FFOA) classification. Initially, FFOA is employed to choose finest features available set features. The selected dataset are processed...

Abstract At present days, Internet of Things (IoT) and cloud platforms become widely used in various healthcare applications. The enormous quantity data produced by the IoT devices sector can be examined on platform instead dependent restricted storage computation resources exist mobile gadgets. For offering effective medicinal services, this article, an online medical decision support system (OMDSS) is introduced for chronic kidney disease (CKD) prediction. presented model involves a set...

COVID-19 pandemic has led to a significant loss of global deaths, economical status, and so on. To prevent control COVID-19, range smart, complex, spatially heterogeneous, solutions, strategies have been conducted. Earlier classification 2019 novel coronavirus disease (COVID-19) is needed cure the disease. It results in requirement secondary diagnosis models, since no precise automated toolkits exist. The latest finding attained using radiological imaging techniques highlighted that images...

In recent times, COVID-19 infection gets increased exponentially with the existence of a restricted number rapid testing kits. Several studies have reported diagnosis model from chest X-ray images. But patients images is tedious process as bilateral modifications are considered an ill-posed problem. This paper presents new metaheuristic-based fusion for using The proposed comprises different preprocessing, feature extraction, and classification processes. Initially, Weiner filtering (WF)...

In recent times, vehicular ad hoc networks (VANET) have become a core part of intelligent transportation systems (ITSs), which aim to achieve continual Internet connectivity among vehicles on the road. The VANET has been used improve driving safety and construct an ITS in modern cities. However, owing wireless characteristics, message transmitted through network can be observed, altered, or forged. Since is major VANET, security privacy these messages must preserved. Therefore, this paper...

Diabetic retinopathy (DR) is a disease with an increasing prevalence and the major reason for blindness among working-age population. The possibility of severe vision loss can be extensively reduced by timely diagnosis treatment. An automated screening DR has been identified as effective method early detection, which decrease workload associated to manual grading well save costs time. Several studies have carried out develop detection classification models DR. This paper presents new IoT...

In the present day, distributed algorithms become more popular due to their diversity in several applications. The prediction and reorganization of medical data required practice information. We propose a novel approach feature selection based on efficient chronic kidney disease (CKD) classification. Primarily, pre-processing pace will be implemented over input data. Then, grey wolf optimization (GWO) algorithm gets executed choose optimal features from pre-processed Next, projected...

Kidney is the most important organ in a human body. But now-a-days Chronic Disease (CKD) common problem for people. Today good many people die because of Disease. This CKD and serious disease world. The gradual loss function kidney also called affected measured on Glomerular Filtration Rate (GFR). If GFR rate high, condition if very low, affected. In this paper, we have tried feature selection method which used to reduce attributes select more essential only. We can classify data, using four...

Internet of Things (loT) devices can be extensively utilized by several industries containing smart farming, logistics, medicine, cities, and so on. But, Distributed Denial Service (DDoS) outbreaks position is a critical attack to IoT safety. Attackers simply employ the vulnerabilities they control portion botnets introduce DDoS attacks. limited resources with restricted memory calculating resources. While developing technology, Blockchain (BC) has great resolving security problems from IoT....

Active database system is a which capable of generating certain action automatically if it detects an event that meets conditions. The existence Event Condition Action (ECA) rules and functional components such as triggers, stored procedures, functions are owned by active make the has ability to monitor input output data. Separation ECA in with application program will also facilitate development information systems. This research applies academic system, so business can be planted software...

Medical image security is an essential in the present world which desired transferring medical images inter or intra hospital network for diagnosis. The are differed from ordinary images. Because, they captured through different devices (for example X ray, Computed Tomography, Magnetic Resonance Imaging and Positron Emission Tomography) color filters Red, Green Blue). This paper describes a new reversible watermarking scheme with low alterations digital fundus It based on special nature of...

This research article presents new and improved color image edge detection scheme using morphological operator. It is known as Multilevel Morphological Fuzzy Edge Detection (MMFED) for images. MMFED algorithm enhancing the by means of based multilevel fuzzy a transformation function on threshold values. Based there will be two values (i.e.) object an background image, second can enhanced two-level process. The first level process defines structure properties. depends characteristics grey...

Brain-computer interface BCI) is a technology that assists in straight link among the human brain as well external devices like computers or robotic systems, without including muscles and peripheral nerves. BCI allows individuals with motor disabilities to manage aid of signals such imagery detected from electroencephalography (EEG) signals. An EEG Motor Imagery Classification for specific application which directly related tasks are analyzed classified control applications, namely systems...

Bigdata is a challenging field in data processing since the information retrieved from various search engines through internet. A number of large organizations, that use document clustering,fails arranging documents sequentially their machines. Across globe, advanced technologyhas contributed to high speed internet access. But consequences useful yet unorganized machine files seemto be confused retrieval process. Manual ordering has its own complications. In this paper, application software...

In the recent days, prediction models of chronic kidney disease (CKD) becomes significant in area decision making which is helpful healthcare systems. Because large amount medical data, efficient are required to obtain precise results and data classification algorithms can be employed detect presence CKD. Recently, various machine learning (ML) dependent on classifier technique presented for forecasting Since numerous CKD exist, there a need investigate performance these algorithms. This...

Aim: Recently, classification of medical data gives more importance to identify the existence disease. Background: Numerous algorithms for chronic kidney disease (CKD) are developed and produced better results. But, inclusion different factors in identification CKD reduces effectiveness employed algorithm. Objective: To overcome this issue, feature selection (FS) approaches proposed minimize computational complexity also improve performance CKD. Since numerous bio-inspired based FS...