The recent advancements in Internet of Things (IoT), cloud computing, and Artificial Intelligence (AI) transformed the conventional healthcare system into smart healthcare. By incorporating key technologies such as IoT AI, medical services can be improved. convergence AI offers different opportunities sector. In this view, current research article presents a new convergence-based disease diagnosis model for system. major goal is to design heart diabetes using techniques. presented...

Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies, strategies, and actions that institutions make as a whole.Decision's structures HEIs are depicted in this paper their effectiveness supporting institutions' governance.The disengagement stakeholders lack using efficient computational algorithms lead to 1) decision process takes longer; 2) ''whole picture'' is not involved along with all data necessary; 3) small academic impact produced by...

This paper focus on a neural network classification model to estimate the association among gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It also shows that artificial techniques applied large clinical data sets may provide meaningful data-driven approach categorize patients for population health management, support control detection of patients, which is part critical factors diseases heart. Data was obtained from National Health Nutrition...

Phishing attacks are one of the slanting cyber-attacks that apply socially engineered messages imparted to individuals from expert hackers going for tricking clients uncover their delicate data, most mainstream correspondence channel those is through clients' emails. has turned into a generous danger web and noteworthy reason money related misfortunes. Therefore, different arrangements have been created handle this issue. Deceitful emails, also called phishing utilize scope impact strategies...

Recently, the techniques of Internet Things (IoT) and mobile communications have been developed to gather human environment information data for a variety intelligent services applications. Remote monitoring elderly disabled people living in smart homes is highly challenging due probable accidents which might occur daily activities such as falls. For people, fall considered major reason death post-traumatic complication. So, early identification falls needed increase survival rate person or...

The rise of Adversarial Machine Learning (AML) attacks is presenting a significant challenge to Intrusion Detection Systems (IDS) and their ability detect threats. To address this issue, we introduce Apollon, novel defence system that can protect IDS against AML attacks. Apollon utilizes diverse set classifiers identify intrusions employs Multi-Armed Bandits (MAB) with Thompson sampling dynamically select the optimal classifier or ensemble for each input. This approach enables prevent...

Predictive maintenance in machines aims to anticipate failures. In rotating machines, the component that suffers most wear and tear is bearings. Currently, based on Industry 4.0 paradigm, advances have been made obtaining data, specifically, vibration signals can be used predict deterioration using various techniques. this study, we applied analysis obtain features an optimal Machine Learning model a public dataset from CWRU, widely research, which contains data bearing The main objective of...

Big data and artificial intelligence are currently two of the most important trending pieces for innovation predictive analytics in healthcare, leading digital healthcare transformation. Keralty organization is already working on developing an intelligent big analytic platform based machine learning integration principles. We discuss how this new pillar to improve population health management, value-based care, upcoming challenges healthcare. The benefits using community include better...

Radio Frequency Identification (RFID) networks usually require many tags along with readers and computation facilities.Those have limitations respect to computing power energy consumption.Thus, for saving make the best use of resources, should operate be able recover in an efficient way.This will also reduce expenditure RFID readers.In this work, network life span enlarged through energy-efficient cluster-based protocol used together Dragonfly algorithm.There are two stages processing...

Remote-sensing images comprise massive amount of spatial and semantic data that can be employed for several applications. Presently, deep learning (DL) models RS image processing become a familiar research area. Due to the advancements recent satellite imaging sensors , issue huge becomes challenging problem. To accomplish this, transfer (DTL) are developed resolve gap among various datasets This study develops new DTL-based fusion model environmental remote-sensing classification, called...

Sustainable energy management is an inexpensive approach for improved use. However, the research used does not focus on cutting-edge technology possibilities in Internet of things (IoT). This paper includes needs today's distributed generation, households, and industries proposing smart resource deep learning model. A architecture power (DLA-PM) presented this article. It predicts future consumption a short period provides effective communication between distributors customers. To keep...

Over the past few years, decentralization of multi-agent robotic systems has become an important research area. These do not depend on a central control unit, which enables and assignment distributed, asynchronous robust tasks. However, in some cases, network communication process between agents is overlooked, this creates dependency for each agent to maintain permanent link with nearby units be able fulfill its goals. This article describes framework, where system can leave or accept new...

MOOCs have recently become very popular, since some of these massive online courses can reach thousand students. Faculty members from top universities deliver through MOOC platforms: Coursera, Edx, Miriada X, etc. Apart the content, many other factors influence quality a course; for instance, bad user experience Web platform lead students to drop out an interesting and well-organised course. platforms require much effort care experience. This research aims develop specific method evaluating...