Wireless Sensor Networks (WSN) are deployed on a large scale and require protection from malicious energy drainage attacks, particularly those directed at the routing layer. The complexity increases during critical operations like cluster head selection where detection of such attacks is challenging. dependency WSN batteries elevates concern posed by these threats, making isolation crucial, especially within framework energy-efficient clustering protocols as Low Energy Adaptive Clustering...

The Adaptive User Interface (AUI) adapts to the changes in context of use and provides improved interaction abilities for different users. adaptivity user interfaces requires depth knowledge context. There is a need enrich profiles achieve personalized services with ability adapt user's can be reflected particular kind hence modeled as ontology. Ontology based models are effective means handle complex situations that support sharing or integration information. This paper presents ontology...

Since its inception more than a decade ago, Internet of Things (IoT) technology has been guiding people in the development world full smart solutions which all devices and physical objects, represented as "things," are interlinked with sensors using Internet. In some areas, delivery medications to patients or receivers at their destinations remains highly informal old. medicine delivery, needs maintain original state while facing multiple environmental factors, like temperature fluctuations,...

With the acceleration of urbanization, sustainable development cities and improvement residents' quality life have become major challenges facing world. Taking Wenzhou City Hohhot China as examples, this paper uses machine learning method to build urban housing price prediction service level evaluation models. First, stochastic forest regression ridge models are used predict price, forecasting effect two is compared. The results show that model has better performance in capturing nonlinear...

This study focuses on the pet food market, aiming to analyze development trend and influencing factors of Chinese global markets, make accurate forecasts. For we collected historical data used linear regression multiple models incorporating social changes in market size number past five years forecast trends next three years. In research, conversion, feature extraction, random forest model other technologies are predict demand different countries by combining population characteristics...

Steganography is a technique in which person hides information digital media. The message sent by this so secret that other people cannot even imagine the information's existence. This article entails developing mechanism for communicating one-on-one with individuals concealing from rest of group. Based on their availability, images are most suited components use as transmitters when compared to objects available internet. proposed encrypts within an image. There several steganographic...

In this research study, we analyze the performance of bio inspired classification approaches by selecting Ant-Miners (Ant-Miner, cAnt_Miner, cAnt_Miner2 and cAnt_MinerPB) for discovery rules in terms accuracy, per rule, number rules, running time model size discovered corresponding rule mining algorithm. Classification is still a challenging emerging problem field data knowledge discovery. Rule based has become cutting edge area due to its importance popular application areas banking, market...

Maintenance management consists of an aggregate effort to perform maintenance by effectively utilizing manpower and material through the application standard procedures. It is a complex multifaceted task. An ever‐growing number computerized information systems are available on market facilitate this In order install system, company has two options: either buy or develop such system. Briefly describes major functions suggests instrument evaluate comparatively systems.

In this article we investigate the effect of discretization Methods on Performance Associative Classifiers. Most classification approaches work dicretized databases. There are various exploited for discretizion database to compare performance classifiers. The selection method greatly influences method. We associative classifier namely CBA selective discretizing methods i.e. 1R-D, Ameva-D, Bayesian-D, CACC-D, CADD-D, DIBD-D, ClusterAnalysis-D, ChiMerge-D and Chi2-D in terms accuracy. main...

Classification is a challenging problem in the various fields of knowledge i.e., Pattern Recognition, Data Mining, Knowledge Discovery from Database etc.There classification methods are proposed contemporary literature.The choice an appropriate classifier to achieve optimal performance on specific needs more empirical studies.There algorithmic paradigms like, Associative Classification; Decision Trees based classification, Statistical and Support Vector Machines etc. which exploited for...

This article represents the focused performance analysis of statistical Pattern Recognition methods. There is a variety emerging pattern recognition problems for different data representations like multimedia, spatial, temporal and textual data. Statistical approaches are extensively applied classification purposes. various pattern-recognition methods proposed in contemporary literature. For selection more appropriate recognition, method demands comprehensive evaluation However, this...

This article presents the empirical performance analysis of Associative Classification approaches on imbalanced datasets. The dataset is a in which ratio an instance one class drastically differs from other one. difference instances, dataset, highly affects classifiers. An associative hybrid technique combines classification rules discovery and association both are important tasks Knowledge Discovery. We investigate selective classifiers namely CBA, CBA2, CMAR-C, CPAR-C, Fuzzy- FARCHD-C by...

The prediction of effort estimation is a vital factor in the success any software development project. available expert systems for supports minimization and cost every project at same time leads to timely completion proper resource management This article managers decision makers by providing state-of-the-art empirical analysis methods based on machine learning approaches. In this paper ?ve techniques; polynomial linear regression, ridge trees, support vector regression Multilayer...