Today, farmers are suffering from the low yield of crops. Though right crop selection is main boosting key to maximize by doing soil analysis and considering metrological factors, lack knowledge about fertility reason for production. In changed current climate, having primitive conventional farming facing challenges making sagacious decisions on selection. The same in every seasonal cycle makes fertility. This study aimed at an efficient accurate system using IoT devices machine learning...

The development of abnormal cell growth is caused by different pathological alterations and some genetic disorders. This alteration in skin cells very dangerous life-threatening, its timely identification essential for better treatment safe cure. Therefore, the present article, an approach proposed lesions’ segmentation classification. So, framework, pre-trained Mobilenetv2 utilised act back pillar DeepLabv3+ model trained on optimum parameters that provide significant improvement infected...

As the majority of online networking on Internet, opinion mining has turned into a fundamental way to deal with investigating such huge numbers information. Different applications show up in an extensive variety modern areas. In interim, opinions have various pronunciations which bring along investigate challenges. The research challenges make dynamic region recently. this paper, Natural Language Processing (NLP) techniques for and sentiment analysis are reviewed. Initially NLP is reviewed...

The integration of thriving information and communications technology (ICT) cyber–physical systems (CPSs) has spawned several innovative applications, such as remote healthcare, smart intelligent transportation, logistics, grids, public safety. An emerging software-defined networks (SDNs) further enabled to optimize the communication among Industrial IoT (IIoT) CPS entities. Nonetheless, on channel different IIoT entities in an SDN-enabled environment may be exposed various security threats...

Currently, grid-connected Photovoltaic (PV) systems are widely encouraged to meet increasing energy demands. However, there many urgent issues tackle that associated with PV systems. Among them, partial shading is the most severe issue as it reduces efficiency. To achieve maximum power, system utilizes power point-tracking (MPPT) algorithms. This paper proposed a two-level converter for optimizing and injecting into grid network. The boost used regulate MPPT algorithm. make grid-tied operate...

Optimisation-based methods are enormously used in the field of data classification. Particle Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely to solve global optimisation problems throughout real world. The main problem PSO faces premature convergence due lack diversity, and it usually stuck local minima when dealing with complex real-world problems. In meta-heuristic algorithms, population initialisation an important factor affecting diversity speed....

Objectives: Automatic detection of E-learners' learning styles is an important requirement for personalized e-learning. The present study proposes the students' automatically on Learning Management System (LMS). Methods/Analysis: different technique automatic LMS using Data Mining Bayesian Network (BN). A large survey data used to map class room E-learning environment which provide significance incorporated LS model systems. Standard questionnaire called Kolb's Style Inventory (KLSI)...

The heterogeneous resource-required application tasks increase the cloud service provider (CSP) energy cost and revenue by providing demand resources. Enhancing CSP profit preserving is a challenging task. Most of existing approaches consider task deadline violation rate rather than performance server size ratio during estimation, which impacts causes high cost. To address this issue, we develop two algorithms for maximization adequate reliability. First, belief propagation-influenced...

Due to the complex, heterogeneous and mimic morphological features of medullary thyroid cancer (MTC).It becomes often difficult diagnose MTC at early stage.Since histopathological complex patterns cancerous cells tissues requires a huge effort classify.Therefore classification has become one significant research area area(s) Machine Learning.We propose decision support system classify initial variation appearance nuclei by using Convolutional Neural Networks (CNNs).The comprises over three...

With the increasing number and popularity of digital content, management access rights has become an utmost important field. Through systems (DRM-S), to contents can be defined for this, efficient secure authentication scheme is required. The DRM schemes used give or restrict content. Very recently in 2020, Yu et al. proposed a symmetric hash xor-based termed their system achieve both security performance efficiency. Contrarily, this study, we argue that several issues including...

The mobile cellular network provides internet connectivity for heterogeneous Internet of Things (IoT) devices. consists several towers installed at appropriate locations within a smart city. These can be utilized various tasks, such as e-healthcare systems, city surveillance, traffic monitoring, infrastructure or sidewalk checking. Security is primary concern in data broadcasting, particularly authentication, because the strength network's signal much higher frequency than associated one,...

Now a day's traffic problems are increasing day by and transport is becoming serious problem in the world. Various monitoring systems have been developed. This paper presents research on controlling real-time using various image processing techniques which pictures captured webcam of lanes roads where takes place. The counting vehicles each picture computed Matlab tool timer allocated to lane based number counted specific for showing green signal pass vehicle. In this model LED's used show...

Malaria is a serious and lethal disease that has been reported by the World Health Organization (WHO), with an estimated 219 million new cases 435,000 deaths globally. The most frequent malaria detection method relies mainly on specialists who examine samples under microscope. Therefore, computerized diagnosis system required. In this article, cell segmentation classification methods are proposed. cells segmented using color-based k-mean clustering approach selected number of clusters. After...

Software Agents are autonomous piece of code that acts on behalf its user to achieve the goals user. They considered as one most vital components semantic web. To facilitate development software agents for real world applications, a number frameworks have been proposed. Over years, we seen emergence two agent's standards i.e. FIPA and MASIF. These provide specifications guidelines developers in constructing any agent framework. In this paper, provided comparative study existing We...

A multiband circular polarizer based on fission transmission of linearly polarized wave for x -band application is proposed, which constructed 2 × metallic strips array. The linear-to-circular polarization conversion obtained by decomposing the incident -polarized into two orthogonal vector components equal amplitude and 90° phase difference between them. innovative approach “fission wave” firstly introduced to obtain giant dichroism decomposition through structure. It means that converted...