Search Results - "Katarya, Rahul"
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A Systematic Review on Predicting the Performance of Students in Higher Education in Offline Mode Using Machine Learning Techniques
Published in Wireless personal communications (01-12-2023)“…For scholarly organizations, students’ academic performance (AP) computes student achievements in different academic subjects. Therefore, a systematic…”
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Capsmf: a novel product recommender system using deep learning based text analysis model
Published in Multimedia tools and applications (01-12-2020)“…Researchers and data scientists have developed different Recommender System Algorithms such as Content-Based and Collaborative-Based in order to filter a large…”
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Research on Understanding the Effect of Deep Learning on User Preferences
Published in Arabian journal for science and engineering (2011) (01-04-2021)“…Recommender systems are becoming more essential than ever as the data available online is increasing manifold. The increasing data presents us with an…”
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Enhancing the wine tasting experience using greedy clustering wine recommender system
Published in Multimedia tools and applications (2022)“…Wine is not just about taste; it represents your class & overall personality. But tasting the same wine for a long time gets boring; sometimes, everyone needs…”
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EnPSO: An AutoML Technique for Generating Ensemble Recommender System
Published in Arabian journal for science and engineering (2011) (2021)“…With the explosive increase in data on the web, recommending items to users is becoming more complex. In recent times, the best recommender systems have come…”
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An effective collaborative movie recommender system with cuckoo search
Published in Egyptian informatics journal (01-07-2017)“…Recommender systems are information filtering tools that aspire to predict the rating for users and items, predominantly from big data to recommend their…”
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SSR-GAN: super resolution-based generative adversarial networks model for flood image enhancement
Published in Signal, image and video processing (2024)“…Floods, a common natural disaster, it affects more than half of all natural disasters, primarily due to high floods, high tides, heavy rainfall, and human…”
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Stacked Denoising Variational Auto Encoder Model for Extractive Web Text Summarization
Published in Iranian journal of science and technology. Transactions of electrical engineering (01-12-2024)“…Extracting and concatenating distilled content from a corpus into a summary is a technique known as extractive summarization. In recent days, extractive…”
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Possibility of the COVID-19 third wave in India: mapping from second wave to third wave
Published in Indian journal of physics (2023)“…After a consistent drop in daily new coronavirus cases during the second wave of COVID-19 in India, there is speculation about the possibility of a future…”
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Fake News Detection System Using Featured-Based Optimized MSVM Classification
Published in IEEE access (2022)“…Fake News creates erroneous suspense information that can be identified. This spreads dishonesty about a country's status or overstates the expense of special…”
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Social media based surveillance systems for healthcare using machine learning: A systematic review
Published in Journal of biomedical informatics (01-08-2020)“…Cloud computing, patient diagnosis, video surveillance, mobile computing, microorganisms, patient monitoring, wireless sensor networks. [Display omitted] •We…”
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Discover opinion leader in online social network using firefly algorithm
Published in Expert systems with applications (15-05-2019)“…•Classify the opinion leader not only in the global community but in the local community also.•A Meta heuristic approach has proposed to find the opinion…”
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hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost
Published in Biomedical signal processing and control (01-03-2022)“…•We proposed a novel model hyOPTXg to identify cardiovascular disease.•The proposed model hyOPTXg utilized the XGBoost and OPTUNA techniques.•Data…”
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Deep learning enabled intrusion detection system for Industrial IOT environment
Published in Expert systems with applications (01-09-2024)“…The prevalence of security vulnerabilities in Internet of Things (IoT) applications poses a serious threat to enterprise systems, necessitating sophisticated…”
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Movie recommender system with metaheuristic artificial bee
Published in Neural computing & applications (01-09-2018)“…Recommender systems are information retrieval tool that allocates accurate recommendations to the specific users. Collaborative movie recommender systems…”
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Towards the significance of taxi recommender systems in smart cities
Published in Concurrency and computation (25-01-2023)“…Summary Since their launch in the early 1990's, recommender systems (RSs) have played an essential role in information filtering and providing personalized…”
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InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray
Published in Applied soft computing (01-02-2021)“…Recently, the whole world became infected by the newly discovered coronavirus (COVID-19). SARS-CoV-2, or widely known as COVID-19, has proved to be a hazardous…”
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WS-BiTM: Integrating White Shark Optimization with Bi-LSTM for enhanced autism spectrum disorder diagnosis
Published in Journal of neuroscience methods (01-01-2025)“…Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition marked by challenges in social communication, sensory processing, and behavioral…”
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CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients
Published in Applied soft computing (01-06-2021)“…The ongoing fight with Novel Corona Virus, getting quick treatment, and rapid diagnosis reports have become an act of high priority. With millions getting…”
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A computational approach towards food-wine recommendations
Published in Expert systems with applications (15-03-2024)“…Food-wine pairing is an essential study in the culinary world and requires extensive research of the underlying food and wine pairing principles. To understand…”
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