As 5G and other technologies are widely used in the Internet of Vehicles, intrusion detection plays an increasingly important role as a vital tool for information security. However, due to rapid changes structure large data flow, complex diverse forms intrusion, traditional methods cannot ensure their accuracy real-time requirements be directly applied Vehicles. A new AA distributed combined deep learning method Vehicles based on Apache Spark framework is proposed response these problems....

The popularization of electronic clinical medical records makes it possible to use automated methods extract high-value information from quickly. As essential information, oncology events are composed attributes that describe malignant tumors. In recent years, medicine event extraction has become a research hotspot in academia. Many academic conferences publish as an evaluation task and provide series high-quality annotation data. This article aims at the characteristics discrete...

Purpose The COVID-19 virus outbreak began in December 2019 and rapidly spread to every continent on Earth. analysts have predicted that other similar pandemics will continue the coming decade badly affect offline businesses. As a result, platform is also shifting online demands are increasing daily. traditional two-dimensional E-Commerce websites designed provide simple, browser-based interfaces allow users access available products services. Whilst virtual representations an essential...

Agriculture is one of the important ant sectors Indian economy and also an source income for people. Approximately 50% employees worked in agricultural sector. Many crops such as rice, maize, cotton, wheat are grown India. Of these, maize India's most food crop plays a crucial role production. The major problem production diseases plants. plant identified using leaf. Diseases plants affect quality quantity To avoid problem, this study; efficient automated diagnosis has been developed....

Machine learning is considered as the study of computer algorithms that enables machine to learn and adapt new data without any human intervention. Reinforcement a paradigm by which self-governing agent utilizes its experience communicating with an environmental situation improve behavior. The paper summarizes different reinforcement algorithms, merits demerits existing reviewed methods along applications challenges gives future research direction.

with the faster advancement of Internet Vehicles and increasing growth units information demonstrate a critical role big data in vehicles. The has gained lot traction academics industry. It helps making factual decision expanding business Additionally, gathered from linked automobiles was observed, also crowd sourcing, urban development may be boosted oversight. objective provides some sort comprehensive survey all relevant self scrutiny publications published early year. We conducted...

To be successful in the supply chain, businesses must completely integrate all departments and partners, rather than just a few. Because of automation it generates, technology is "enabler" for SCM systems improved efficiency. The involved this may bring higher accuracy, better inventory management, cost savings, which partners customers like, but interacting with them smart way to retain connection keep coming back. Many are already concerned that will take over, although does allow us...

The Healthcare Byzantine consensus method (HBFT) has poor scalability, arbitrary master node selection, and high network overhead in the healthcare scenario. This research constructs proposes an optimized algorithm for alliance chain. First, create roles nodes cluster, provide them additional permissions based on their responsibilities, build a dynamic access with various permissions. Second, reputation-based voting FTS are meant production selection. tree-combined assures election security...

Purpose “Machine learning (ML)” in business aids increasing company scalability and boosting operations for businesses all over the world. “Artificial intelligence (AI)” technologies several “ML” algorithms have grown prominence analytics sector. In era of a huge quantum data being generated by virtue integration various software with operations, relevance is continuously increasing. As result, companies may now profit from knowing how use incorporating it into their own operations. derives...

Diabetes is a rapidly spreading disease. When the pancreas produces insufficient insulin or body cannot utilise it effectively. Diabetic Retinopathy (DR) and blindness are two major issues for diabetics. patients increase amount of data collected about DR. To extract important information undiscovered knowledge from data, mining techniques required. DM necessary in DR to improve society's health. Our study focuses on early detection using patient information. approaches used these numeric...

Nowadays, sentimental analysis of consumers’ review is becoming much crucial in the marketing world. It not just giving ideas to firms that how consumers like their product or service, but it would also help them make service better. In this article, statistical method identifies relationship many factors consumer feedback. introduces a deep-based learning called DSC (deep sentiment classifier) determine whether recommend reviewed thoroughly. Our suggested investigates effect sizes feedback,...

A research is an intellectual system, the vehicular adhoc network (VANET), supplies cars in with critical information. Over 150,000 individuals are impacted by traffic accidents that must be kept to a minimum, and development of safety included VANET. Traffic congestion prediction mitigating car managing for benefit all road users. The system exhibit dynamic behavior, which adversely affects performance deep learning approaches prediction. In this article hybrid approach named boosted long...

Stroke, also known as a cerebrovascular accident, is medical emergency that causes temporary or permanent behavioral dysfunction in people. Sleep deprivation affects our brains variety of ways. The advantages sleep much justify the risks not having enough sleep. (SD) includes factors, including prolonged awake. Neuroimaging investigates SD’s impact on attention, working memory, mood, and hippocampal learning. We analyzed how this data enriches mechanistic understanding these alterations...

Purpose The purpose of this paper Computing is a recent emerging cloud model that affords clients limitless facilities, lowers the rate customer storing and computation progresses ease use, leading to surge in number enterprises individuals data cloud. Cloud services are used by various organizations (education, medical commercial) store their data. In health-care industry, for example, patient outsourced server. Instead relying onmedical service providers, can access theirmedical over...

Using a three-dimensional data model connected to the Internet of Things, artificial intelligence, and machines, study looks into possibility using digital twin-based techniques methods create an intelligent optimization automation system manage energy in residential area. The Rinascimento III neighbourhood Rome is focus case study. It has 16 eight-story buildings with 216 apartments that are powered by renewable for 70% time. Because complex dynamic analytic algorithms built in, many...

Purpose The purpose of this study is to develop the Counterintelligence Strategy as a conceptual document in field state security Ukraine, identifying current threats which global landscape has been significantly transformed since adoption Law Ukraine “On Counterintelligence”, substantiated. It proved that provisions such should determine and projected counterintelligence environment via set following elements. nature real potential process implementing foreign domestic policy course...

Topics such as computational sources and cloud-based transmission security of big data have turned out to be a major new domain exploration due the exponential evolution grid facilities. Various categories cloud services been utilized more widely across variety fields like military, army systems, medical databases, more, in order manage storage resource calculations. Attribute-based encipherment (ABE) is one efficient algorithms that leads better consignment safety information located within...

Breast cancer is one of the most dangerous cancers, accounting for a large number fatalities each year. It leading cause mortality among women globally. getting lot interest in scientific community because its possible life-threatening danger. As consequence, many machine learning methods (MLMs) have been modified to provide best results early diagnosis this malignancy. Machine offer several beneficial implications breast cancer, including prognosis, detection, and diagnosis. Compared...

Crude oil is a crucial fuel and one of the world's most important resources, its prices have direct impact on global economy, habitat, exploration, other activities. an factor in any economy today's modern world. Pandemics increased volatility recent years, necessitating development new intelligent method for predicting long-term pricing. The ANN ANN-PSO algorithms are used to forecast crude this research. artificial neural network (ANN) can be accurate efficient prediction approach. This...