The internet of things (IoT) enabled a common operating picture (COP) across the various applications modern day living. COP is achieved through advancements seen in wireless sensor network devices that were able to communicate thereby exchanging information and performing analysis. In IoT, exchange data authentication only done central server there by leading security privacy concerns. Chances device spoofing, false authentication, less reliability sharing could happen. To address such...

Technology and the rapid growth in area of brain imaging technologies have forever made for a pivotal role analyzing focusing new views anatomy functions. The mechanism image processing has widespread usage medical science improving early detection treatment phases. Deep neural networks (DNN), till date, demonstrated wonderful performance classification segmentation task. Carrying this idea into consideration, paper, technique compression using deep wavelet autoencoder (DWA), which blends...

Disease diagnosis is a critical task which needs to be done with extreme precision. In recent times, medical data mining gaining popularity in complex healthcare problems based disease datasets. Unstructured constitutes irrelevant information can affect the prediction ability of classifiers. Therefore, an effective attribute optimization technique must used eliminate less relevant and optimize dataset for enhanced accuracy. Type 2 Diabetes, also called Pima Indian affects millions people...

Brain tumors are most common in children and the elderly. It is a serious form of cancer caused by uncontrollable brain cell growth inside skull. Tumor cells notoriously difficult to classify due their heterogeneity. Convolutional neural networks (CNNs) widely used machine learning algorithm for visual tumor recognition. This study proposed CNN-based dense EfficientNet using min-max normalization 3260 T1-weighted contrast-enhanced magnetic resonance images into four categories (glioma,...

This paper deals with the internet of things (IoT) which has become a promising and vibrant technology to build power full smart systems monitor analyze various real time operating systems. In recent years wide range IoT applications have been developed. To understand concept, this studies insights into four building blocks (Things, Gateways, Network infrastructure, Cloud infrastructure), three main components (The Things Networked Sensors Actuators, Raw Information Processed Data Stores,...

There is a consistent rise in chronic diseases worldwide. These decrease immunity and the quality of daily life. The treatment these disorders challenging task for medical professionals. Dimensionality reduction techniques make it possible to handle big data samples, providing decision support relation diseases. datasets contain series symptoms that are used disease prediction. presence redundant irrelevant should be identified removed using feature selection improve classification accuracy....

In the past few years' classification has undergone some major evolution. With constant surge of amount data gathered from different sources efficient processing and analysis is becoming difficult. Due to uneven distribution among classes with machine learning techniques become more tedious. While most algorithms focus on samples they ignore minor class data. Thus skewing issue one critical problems that need attention researchers. The paper stresses upon preprocessing using sampling...

A sustainable healthcare focuses on enhancing and restoring public health parameters thereby reducing gloomy impacts social, economic environmental elements of a city. Though it has uplifted health, yet the rise chronic diseases is concern in cities. In this work, lung cancer detection model developed to integrate Internet Health Things (IoHT) computational intelligence, causing least harm environment. IoHT unit retains connectivity continuously generates data from patients. Heuristic Greedy...

An Autism Spectrum Disorder (ASD) affected child faces significant difficulties in social interactive activities. There is an eminent requirement of a real-time and easy-to-access diagnostic model to identify associated risks during initial phase occurrence for proper diagnosis. This research deals with efficient categorisation ASD instances using intelligent classification where can be detected autism disorders through automated queries enabled virtual session. Implementation outcome...

Deep learning has surged in popularity recent years, notably the domains of medical image processing, analysis, and bioinformatics. In this study, we offer a completely autonomous brain tumour segmentation approach based on deep neural networks (DNNs). We describe unique CNN architecture which varies from those usually used computer vision. The classification cells is very difficult due to their heterogeneous nature. From visual recognition point view, convolutional network (CNN) most...

Effective candidates screening is critical for any IT firm as it impacts the future growth and productivity of that firm. Currently majority these firms follow a manual approach hiring employees which more prone to errors time consuming. Prime purpose research develop an intelligent predictive model decide upon candidate’s suitability applied It based job. A sample size 13,168 instances with 19 attributes job seekers data are used study. An ensemble meta presented in where stacked KNN...

Data clustering is a process of arranging similar data in different groups based on certain characteristics and properties, each group considered as cluster. In the last decades, several nature-inspired optimization algorithms proved to be efficient for computing problems. Firefly algorithm one metaheuristic regarded an tool many issues areas such clustering. To overcome velocity, firefly can integrated with popular particle swarm algorithm. this paper, two modified algorithms, namely crazy...

Smart cities are the modern urban concepts that essential for people to have quality life. It is conceptual view of grouping various technologies attain smart and sustainable practices. This paper proposes city definitions based on general approach 3-C concept defines core character city. Moreover, this also presents a comprehensive study in India focusing features, selection evaluation criteria, policies. Besides these, present status, challenges Indian context discussed.