Recently, connected vehicles (CV) are becoming a promising research area leading to the concept of CV as Service (CVaaS). With increase and an exponential growth in field online cab booking services, new requirements such secure, seamless robust information exchange among vehicular networks emerging. In this context, original is being transformed into known autonomous vehicles. Autonomous use yields better experience helps reducing congestion by allowing current be obtained instantly....

Purpose In order to improve the accuracy of project cost prediction, considering limitations existing models, construction prediction model based on SVM (Standard Support Vector Machine) and LSSVM (Least Squares is put forward. Design/methodology/approach competitive growth industries 4.0, in plays a key role. Findings At same time, original data dimensionality reduced. The processed are imported into models for training respectively, results compared analyzed more reasonable selected....

In the modern era, cyberbullying (CB) is an intentional and aggressive action of individual or a group against victim via electronic media. The consequence CB increasing alarmingly, affecting either physically psychologically. This allows use automated detection tools, but research on such tools limited due to poor datasets elimination wide features during detection. this paper, integrated model proposed that combines both feature extraction engine classification from input raw text social...

Building management systems are costly for small- to medium-sized buildings. A massive volume of data is collected on different building contexts by the Internet Things (IoT), which then further monitored. This intelligence integrated into (BMSs) energy consumption in a cost-effective manner. Electric fire safety paramount buildings, especially hospitals. Facility managers focus protection strategies and identify where system upgrades needed maintain existing technologies. Furthermore, BMSs...

The concept of Blockchain has penetrated a wide range scientific areas, and its use is considered to rise exponentially in the near future. Executing short scripts predefined code called smart contracts on can eliminate need intermediaries also raise multitude execution contracts. In this paper, we discuss along with their applicability Internet Medical Things (IoMT) e-healthcare domain. paper analyses dimensions that decentralization will take IoMT e-healthcare, proposes novel architecture,...

In the hospital, a limited number of COVID-19 test kits are available due to spike in cases every day. For this reason, rapid alternative diagnostic option should be introduced as an automated detection method prevent spreading among individuals. This article proposes multi-objective optimization and deep-learning methodology for infected coronavirus patients with X-rays. J48 decision tree classifies deep characteristics affected X-ray corona images detect contaminated effectively. Eleven...

Withthe technological advent, the clustering phenomenon is recently being used in various domains and natural language recognition. This article contributes to of fulfills requirements for dynamic update knowledge system. proposes a method extraction based on sentence recognition using neural network-based framework. The conversion process from papers object-oriented system studied considering related problems vectorization. studies attributes vectorization basic definitions, judgment...

It is essential for Vehicular Ad-hoc networks (VANETs) to have reliable vehicles communication with vehicles. VANET dynamical network where the frequently alter their place. Safe routing of great essence at time process fit in shared trust/belief involving these nodes. Occasionally, malicious node transmits counterfeit data amid other To find out deemed be a difficult task when nodes try distort discovery route or transmission within network. Researchers worked extensively ensure safe...

Artificial intelligence (AI) bids serious attention among the researchers and academicians to show how evolutions of smart city are taking place at different scales. Smart Cities Intelligence gives a multidisciplinary, joined procedure, using speculative applied bits information, for evaluation savvy situations. The objective this published special issue is focus on all aspects future research directions specific area AI-enabled applications automatic intelligent systems in cities societies....

Adaptive Neuro‐Fuzzy Inference System (ANFIS) blends advantages of both Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) in a single framework. It provides accelerated learning capacity adaptive interpretation capabilities to model complex patterns apprehends nonlinear relationships. ANFIS has been applied practiced various domains provided solutions commonly recurring problems with improved time space complexity. Standard certain limitations such as high computational expense, loss...

In this paper, Deep Neural Networks (DNN) with Bat Algorithms (BA) offer a dynamic form of traffic control in Vehicular Adhoc (VANETs). The former is used to route vehicles across highly congested paths enhance efficiency, lower average latency. latter combined the Internet Things (IoT) and it moves VANETs analyze congestion status between network nodes. experimental analysis tests effectiveness DNN-IoT-BA various machine or deep learning algorithms VANETs. validated through metrics, like...

Abstract Agriculture in rural areas facing critical issues such as irrigation with the increase water crises followed by some other line seed quality, poor fertilizers and many others. The recent advances suggest that IoT Blockchain Technology along artificial intelligence will be most dominant technologies near future. In this article, integration of Internet Things (IoT) technology is implemented for monitoring agricultural fields efficiently. An efficient quality smart management system...

: Due to advances in technology, research healthcare using a cyber-physical system (CPS) opens innovative dimensions of services. In this paper, the authors propose an energy- and service-level agreement (SLA)-efficient cyber physical for E-healthcare during data transmission Furthermore, proposed phenomenon will be enhanced ensure security by detecting eliminating malicious devices/nodes involved communication process through ad hoc on-demand distance vector (AODV) protocol. The framework...

The vehicular adhoc network (VANET) is an emerging research topic in the intelligent transportation system that furnishes essential information to vehicles network. Nearly 150 thousand people are affected by road accidents must be minimized, and improving safety required VANET. prediction of traffic congestions plays a momentous role minimizing roads management for people. However, dynamic behavior degrades rendition deep learning models predicting congestion on roads. To overcome problem,...

Abstract An intelligent climate and watering agriculture system is presented that controlled with Android application for smart water consumption considering small medium ruler agricultural fields. Data privacy security as a big challenge in current Internet of Things (IoT) applications, the increase number connecting devices, these devices are now more vulnerable to threats. fuzzy logic blockchain technology implemented timely analysis securing network. The proposed design consists various...

Recently, 6G-enabled Internet of Things (IoT) is gaining attention and addressing various challenges real time application. The artificial intelligence plays a significant role for big data analytics presents accurate analysis in time. However, designing through faces some issues terms security, privacy, training data, centralized architecture. In this article, blockchain-based IoT framework with proposed which the integration blockchain applications. performance architecture evaluated...