In the competitive business world of today, effective use information technologies is essential to a world's success. As result, sharing data and over Internet in an system could be risky. A comparative analysis these algorithms required due ever-changing nature security threats continuous advancements computer technology. Therefore, we evaluate performance strength AES, 3DES Blowfish algorithms. Security strength, throughput, memory usage, execution time are evaluation measures. Data from...

Collaborative filtering recommender system suffers from data sparsity problem due to its reliance on numerical ratings provide recommendations users.This makes it difficult for the compute accurate similar neighbours items and good quality recommendations.Existing methods fail pre-process missing of new predict cold active users which lead poor recommendations.In this work, a reduction method is presented improve recommendations.The utilises Bi-Separated clustering algorithm cluster matrix...

Recommender systems (Rs) are widely used to provide recommendations for a collection of items or products that may be interest user group users. Because its superior performance, Content-Based Filtering (CBF) is one the approaches commonly utilized in real-world Rs using Time-Frequency and Inverse Document Frequency (TF-IDF) calculate document similarities. However, it computes similarity directly word-count space. We propose user-based collaborative filtering (UBCF) method solve problem...

The existing recommender systems faced a lot of challenges as result data sparsity problem, which decreases the recommendations accuracy to target audience. Though there are numerous studies conducted reduce problem. However, these fail consider subjectivity human beings’ ratings based on lenient and stringent, lead unsuitable recommendations. Similarly, it is unable compute similarity between pair users when among them did not overlap leading inaccurate This work intended enhance...

Collaborative filtering recommender systems are that aid users in finding relevant items. However, collaborative Filtering is the most popular approach for building system due to superior performance. has many inherent problems including data sparsity. This research work presents an enhanced creating a personalized movie recommendation system, leveraging power of filtering; employs Singular Value Decomposition (SVD) algorithm capture user preferences and item characteristics from vast rating...

Study’s Excerpt The influence of temperature-dependent thermal properties on oscillatory magnetic Couette fluid flows within a porous channel is investigated. New analytical expressions for key flow characteristics, including velocity, temperature, and concentration are provided. findings revealed that variations in conductivity enhance heat transfer efficiency, reduce boundary layer thickness, significantly affect temperature gradients. Full Abstract primary purpose this study to determine...

The overabundance of information on the internet and ecommerce has resulted to development recommender system discover interesting items or contents that are recommendable user. recommended might be no interest unwanted users can make lose in recommendations. In this work, a Collaborative Filtering (CF) based method which exploits initial top-N recommendation lists an item-based CF algorithm recommendations penalisation is presented. utilises relevance feedback mechanism solicit for...

The existing similarity functions use the user-item rating matrix to process similar neighbours that can be used predict ratings users. However, highly penalise high popular items which lead predicting may not of interest active users due punishment function employed. also reduce chances selecting less as with common used. In this article, a popularised (pop_sim) is proposed provide effective recommendations pop_sim introduces modified minimise penalty on items. employs popularity constraint...

Antenatal and postnatal processes services is a component of Hospital Management Systems that has been given very little attention. Most healthcare institution carries out the antenatal manually keeps records whole on paper. In most cases in hospital, kept paper files get missing or misplaced leading to loss important clients which would have helpful for future pregnancies clinical diagnosis. Report generation statistical figures are difficult generate with manual based system. Data errors,...

Java Cases and Ontology Libraries Integration for Building Reasoning Infrastructures (jCOLIBRI) is a framework which makes the development of Textual Case-Based (CBR) applications easier by providing preprocessing text methods, textual similarity methods appropriate representation cases are major techniques needed in any CBR systems. In this paper, Mobile Phone Diagnosis Support System presented as an extension to jCOLIBRI accepts problem reasons with provide solution related new given...

The usefulness of Collaborative filtering recommender system is affected by its ability to capture users' preference changes on the recommended items during recommendation process. This makes it easy for satisfy interest over time providing good and quality recommendations. Existing studied fails solicit user inputs also unable incorporate with which lead poor In this work, an Enhanced Movie Recommender that recommends movies users presented improve solicits create a profiles. It then...

Textual Case-Based Reasoning as a problem solving approach allows knowledge source to be integrated with view improving the effectiveness of system during retrieval. The earlier proposed Case-based System depends on statistical similarity alone and most time does not retrieve solution even if it exists. In this paper, WordNet is being developed Mobile Phone Diagnosis Support in order take synonyms terms into account while diagnosing given problem. Thus, integration will makes depend but...

Antenatal and postnatal processes services is a component of Hospital Management Systems that has been given very little attention. Most healthcare institution carries out the antenatal manually keeps records whole on paper. In most cases in hospital, kept paper files get missing or misplaced leading to loss important clients which would have helpful for future pregnancies clinical diagnosis. Report generation statistical figures are difficult generate with manual based system. Data errors,...

Recommender Systems are systems that aid users in finding relevant items, products, or services, usually an online setting.Collaborative Filtering is the most popular approach for building recommender system due to its superior performance.There several collaborative filtering methods developed, however, all of them have inherent problem data sparsity.Covering Reduction Collaborative (CRCF) a new method developed solve problem.CRCF has key feature called items extraction algorithm which...

Even though there are various source code plagiarism detection approaches, most of them only concerned with lexical similarities attack an assumption that is conducted by students who not proficient in programming. However, often due to student incapability but also because bad time management. Thus, semantic similarity attacks should be detected and evaluated. This research proposes a approach can detect representing the into Abstract Syntax Tree (AST) evaluating using Siamese neural...