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30 articles for “Content-based filtering”
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Defluoridation of Water using Corn Cobs Powder: An Effective Risk Reducing Agent
Abstract: The presence of a unique chemical called fluoride in water, has a major impact on human health. In many places, ground waters are the primary source of water and is found to be with high concentrations of fluorides. Most of the adsorbents used for the removal of fluoride from drinking water are activated carbon-based materials and is found to be most expensive. There is a need for an alternative, effective, …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 25–34 Read article
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A Review on Solar Multilevel Inverter for the Production of Free Energy Due to the Structure with Long-life Feature
Abstract: Multilevel inverters play a major role in medium voltage, high power and renewable applications. It is also used in certain applications where high switching frequency, and high output voltage gain are required. The switching transient period of a MOSFET should be minimal because a high dv/dt rate could result in permanent damage to the MOSFET. The harmonics present could cause many problems and so it has to be minimized. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 13–18 Read article
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A Review on Book Recommendation System
Abstract: Recommendation systems are used to suggest items to buy or look at. They direct clients to products that can meet their needs by narrowing down a large database of information. A recommendation system is a software that suggests comparable items to a buyer, based on previous purchases or preferences. Recommendation system inspects large information of products and arranges a record of those items which would satisfy the necessities of the …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 1, 2022 · pp. 26–29 Read article
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Microgrid System Control Identification and Evaluation for Enhanced Dynamic Operation
Abstract: Networking the distributed generators (DG) in a microgrid system involves a large number of electronic components and filters. Small changes or drifts in operating conditions as well as disturbances at the point of common coupling can excite the associated eigenvalues giving rise to slowly growing instability in the system. This article considers the stability of a microgrid system consisting of a micro alternator, wind generator, photovoltaic (PV) system, fuel cell …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 1, 2018 · pp. 33–44 Read article
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Different Various Techniques of CBIR: A Review
Abstract: Abstract—The content-based image retrieval (CBIR) is turning into a supply of precise and fast retrieval. In this paper, the strategies of CBIR are mentioned. As image collections are growing at a rapid fee, call for efficient and powerful equipment for retrieval of query pictures from a database is expanded appreciably. Among them, CBIR have turn out to be very famous for browsing, looking and retrieving pictures from a big database …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 2, 2017 · pp. 18–24 Read article
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Web Development System for Real Estate
Abstract: The real estate industry is currently undergoing a digital transformation, where a well-designed website has become the foundation of successful real estate ventures in the digital era. The real estate website project aims to tackle a range of challenges encountered by both buyers and sellers in the market. These challenges include limited property options, inefficient property searches, a lack of transparency, communication issues, and cumbersome documentation processes. To conquer these …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 2, 2024 · pp. 21–27 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Design Simulation and Assessment of Low PAPR FBMC System for Energy Efficient 5G Applications
Abstract: As of late, filter bank multi-transporter (FBMC) has seemed incredible enthusiasm as an option in contrast to orthogonal frequencies Division Multiplexing (OFDM). FBMC plan has extended Frequency capability and low out of band (OOB) outpourings Compared to OFDM. In any case, FBMC still experiences high positions Peak-to-average power proportion (PAPR) in OFDM frameworks. Some OFDM-based PAPR decrease innovation has been received FBMC framework. In this paper, new advancements for PAPR …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 1, 2021 · pp. 15–21 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Recipe-Fusion: Multimodal Food Recipe Recommendation System
Abstract: The food recipe recommendation system using data science is a software solution designed to help users discover new and delicious food options based on their food history and other relevant data. This system recommends various recipes based on the input given by the user and it helps to filter out the recipes on course type, diet type, and nature of the food (including non-veg, and veg) using a recommendation technique. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 82–91 Read article