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HCN adsorption on Phosphorus-doped MoS2 monolayer: First principles calculations
Integrated Research Advances Read More Keywords: item categories In this study, we examine the possibility of using MoS2 monolayers doped with phosphorus atoms as a sensor for hydrogen cyanide (HCN) gas by making use of density functional theory (DFT), employed with the SIESTA code. MoS2 has shown great potential in nanoelectronics and sensing because of…
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Efficient gesture recognition in Indian sign language using SENet fusion of multimodal data
Journal of Integrated Science and Technology Read More Keywords: item categories The integration of surface electromyography (sEMG) signals and accelerometer data has opened new avenues for precise recognition of complex gestures, particularly in applications like Indian Sign Language (ISL). This research proposes a Parallel Squeeze-and-Excitation Network (Parallel SENet) architecture to classify ISL gestures using high-dimensional…
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Effect of heat on phytochemical profile and antioxidant activity in Amla (Emblica offinalis) fruit extract
Journal of Integrated Science and Technology Read More Keywords: item categories In this study the effect of heat (80°C to 120°C) on phytochemical profile and antioxidant activity in fresh Amla (Embolic officinale) juice powder has been investigated. The fresh amla juice powder was prepared by spray drying technique and further additional heat treatment was given…
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An experimental study to measure the environmental effect on human behavior and emotions using multi-output regression
Journal of Integrated Science and Technology Read More Keywords: item categories Emotions play a very vital role in human life. Emotions originate in human brain due to biological, neurological and psychological effects and influence our behavior and decision-making. This study explores the effect of environment on human emotions and behavior using questionnaire data and by…
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Detection of SARS CoV biomarker Ethyl Butyrate on reduced 2-dimensional Zinc Oxide
Materials NanoScience Read More Keywords: item categories In this work we study the detection of ethyl butyrate (ETB) , a prominent SARS CoV biomarker with reduced two dimensional (2D) ZnO. With density functional theory (DFT) calculations we show the adsorption of ETB on non-stoichiometric sites of 2D rZnO. It is seen that ETB adsorbs well…
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Plasmon-Based Detection of Uric Acid in Aqueous Solution Using Colloidal Ag Nanoparticles
Materials NanoScience Read More Keywords: item categories Citrate coated stable colloidal silver nanoparticles (Ag NPs) with diameter ranging from 5 to 30 nm was synthesized by UV-induced citrate reduction of aqueous AgNO3 solution. The as-prepared colloid appeared as reddish yellow in colour. The UV-VIS absorption spectrum of the as-prepared colloid exhibited an intense and single…
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An intelligent deep transfer learning platform for accurate classification of multiclass brain tumor
Journal of Integrated Science and Technology Read More Keywords: item categories Cancer is the second most common cause of death worldwide after heart disease. If a tumor and its types are identified correctly in the initial phase, it can be treated immediately, and the person’s life can be saved. Keeping this in mind, designing and…
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From promise to practice: Tackling ethical and regulatory issues in AI-driven medicine – case studies and insights
Integrated Research Advances Read More Keywords: item categories The integration of artificial intelligence (AI) into medicine has revolutionized healthcare, offering unprecedented possibilities for diagnostics, treatment, and patient care. However, it also raised critical ethical challenges, such as maintaining patient autonomy and informed consent amidst AI’s “black-box” nature, ensuring privacy and data security, addressing biases in…
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From promise to practice: Tackling ethical and regulatory issues in AI-driven medicine – case studies and insights
Integrated Research Advances Read More Keywords: item categories The integration of artificial intelligence (AI) into medicine has revolutionized healthcare, offering unprecedented possibilities for diagnostics, treatment, and patient care. However, it also raised critical ethical challenges, such as maintaining patient autonomy and informed consent amidst AI’s “black-box” nature, ensuring privacy and data security, addressing biases in…
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Comparative analysis of feature extraction techniques for imbalanced time-series dataJournal of Integrated Science and Technology
Computer Science and Engineering, Imbalanced Data, Time-Series Data, Feature Extraction, Convolutional Neural Networks (CNN), Machine learning Feature extraction plays a vital role in improvising the performance of machine learning models. In real-world scenario, the learning data is imbalance in nature. In this paper, the comparative investigation is performed over imbalanced time-series data. For this some…
