Alviss

Applied Sciences, Vol. 12, Pages 6398: TD DNN: A Time Decay Based Deep Neural Network for Recommendation System Applied Sciences doi: 10.3390/app12136398 Authors: Gourav Jain Tripti Mahara Subhash Chander Sharma Saurabh Agarwal Hyunsung Kim In recent years, commercial platforms have embraced recommendation algorithms to provide customers with personalized recommendations. Collaborative Filtering i...

The internet is surrounded by uncertain information which necessitates the usage of natural language processing and soft computing techniques to extract the relevant documents. The relevant results are retrieved using the query expansion technique which is mainly formulated using the machine learning or deep learning concepts in the existing literature. This paper presents a hybrid group mean base...

Wireless sensor networks (WSNs) are composed of huge amount of tiny resource constrained devices known as sensors. The demand for an energy efficient structure is becoming gradually more essential in WSNs. Energy efficient clustering is a distinguished optimization problem which has been studied extensively to expand the life span of WSNs. In this manuscript, a new energy efficient clustering sche...

A host-based intrusion detection system for Cloud environment is reported in this chapter along with its laboratory analysis. This module alerts the Cloud user against the malicious activities within the system by analysing the system call traces. It analyses only selective system call traces, the failed system call trace, rather than all. This module provides an early detection of the intrusion a...

Wireless sensor network is crowded network, which consists lots of nodes. There is some constrained in wireless sensor network like awareness of energy, environmental constraints like temperature, pressure, sound. The aim of this research is to analyze the energy efficient operation in the sensor node. For this purpose, Low energy adaptive clustering hierarchy (LEACH), Stable Election Protocol (SE...

In developing countries pediatric pneumonia is the second leading cause of deaths and 98% of pneumoniainduced deaths are identified across the world. It is mandatory to identify the symptoms of pneumonia in children to avoid mortality causing complications. Early identification of children at risk for treatment failure or at increased risk for death will help to improve overall health outcomes. If...

With an increase in the urban population, environmental pollution is drastically increased. Air pollution is one of the significant issues in smart cities. The higher value of PM 2.5 can cause various health issues like respiratory disease, heart attack, lung disease, and fatigue. Predicting PM 2.5 can help the administration to warn people at risk and make scientific measures to reduce pollution....