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4 articles for “DOHA”
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Estimation of PVT Properties and Vapor Pressure of CHON Based Extractants for Nuclear Solvent Extraction
Abstract: CHON amides like N, N′-Di hexyl octanamide (DHOA) and N, N′-Di octyl hexanamide (DOHA) have been identified as the alternate extractants to TBP for nuclear solvent extraction. Critical properties of these amidic solvents are needed for the estimation of various physical properties. Currently, there is little information in the literature about critical properties for these solvents. For these two extractants, critical properties and boiling point were estimated using group contribution …
Published in Journal of Nuclear Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 33–37 Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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Efficacy and Efficiency of Fingerprint Powder Derived from Natural Flowers – Development and Evaluation of Sustainable Fingerprint Powders
Abstract: Fingerprints are crucial elements in forensic investigations. Latent or invisible fingerprints are commonly recovered from the scene of crime and hence require an attention for which visualization methods are needed. Conventional methods are relatively expensive, which may cause harmful threats and health hazards due to presence of chemical content. This study offers a cheap and sustainable fingerprint powder sourced from natural materials. In this study the powders were prepared from …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 6–17 Read article
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Machine Learning Techniques for Early Detection of Heart Disease
Abstract: Cases of heart disease are increasing rapidly, thus it's important and concerning to be aware of any potential ailment beforehand. This diagnosis is a difficult task that must be completed fast and precisely. The primary goal of this study is to determine which patient, based on different medical features, has a higher chance of having heart disease. We created a heart disease prediction algorithm based on the patient's medical history …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 16–21 Read article