Search Results - "Srivastava, Ekta"
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Label-Free Fault Detection Scheme for Inverters of PV Systems: Deep Reinforcement Learning-Based Dynamic Threshold
Published in Applied sciences (01-02-2023)“…Generally, photovoltaic (PV) fault detection approaches can be divided into two groups: end-to-end and threshold methods. The end-to-end method typically uses…”
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Examining the role of social influence, learning value and habit on students’ intention to use ChatGPT: the moderating effect of information accuracy in the UTAUT2 model
Published in Cogent education (31-12-2024)“…This study examined factors influencing students’ intention to use ChatGPT using UTAUT2 model. The cross-sectional study is based on responses collected from…”
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Cardiovascular complications and its impact on outcomes in COVID-19: An original research
Published in Journal of pharmacy & bioallied science (01-11-2021)“…Introduction: The viral infection COVID-19 is highly infectious and has claimed many lives till date and is still continuing to consume lives. In the COVID-19,…”
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Home in Border Crossings: A Psychoanalytic Study of Dislocations in the Lives of Female Domestic Workers
Published in Psychoanalytic psychology (01-10-2022)“…Traversing psychoanalytic inroads into the lived experiences of dislocations explored with three female domestic workers in India, this research article…”
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Reduced Graphene Oxide-Substituted Nanohydroxyapatite: Rejuvenating Bone–Nerve Crosstalk with Electrical Cues in a Fragility Fracture Rat Model under Hyperglycemia
Published in ACS applied materials & interfaces (06-11-2024)“…Diabetes has currently acquired the status of epidemic worldwide, and among its various pathological consequences like retinopathy and nephropathy, bone…”
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A reduced graphene oxide functionalized electrospun nerve wrap: Amalgamating electrical and biochemical cues to enhance nerve regeneration in median nerve injury model
Published in Carbon (New York) (01-09-2023)“…Nerve injuries leads to severe impairment of target tissue and standard treatment approaches from surgery to electrical stimulation are complex, yielding only…”
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Spinal cord regeneration: A brief overview of the present scenario and a sneak peek into the future
Published in Biotechnology journal (01-09-2021)“…The central nervous system (CNS) portrays appreciable complexity in developing from a neural tube to controlling major functions of the body and orchestrated…”
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Nostalgia: A Review, Propositions, and Future Research Agenda
Published in Journal of advertising (08-08-2023)“…This article presents a systematic review of the nostalgia literature (205 articles) using PRISMA protocols. It dwells on three questions: What do we know…”
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Front-end signal processing for metal scrap classification using online measurements based on laser-induced breakdown spectroscopy
Published in Spectrochimica acta. Part B: Atomic spectroscopy (01-10-2021)“…[Display omitted] •LIBS has been used in metal sorting system coupled with conveyor belt and RGB sensor for fast automatic classification of scrap metal.•The…”
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Adversarial Data Augmentation and Transfer Net for Scrap Metal Identification Using Laser-Induced Breakdown Spectroscopy Measurement of Standard Reference Materials
Published in Applied spectroscopy (01-06-2023)“…In this study, we propose a transfer learning-based classification model for identifying scrap metal using an augmented training dataset consisting of…”
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Evaluation of polymeric aligned NGCs and exosomes in nerve injury models in diabetic peripheral neuropathy condition
Published in European polymer journal (05-03-2021)“…[Display omitted] •Nerve conduits and NGCs were fabricated with electrospinning and unidirectional cryogelation.•In-vivo sciatic nerve injury models were…”
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Soft classification scheme with pre-cluster-based regression for identification of same-base alloys using laser-induced breakdown spectroscopy
Published in Chemometrics and intelligent laboratory systems (15-08-2020)“…In this study, a novel soft classification scheme is proposed for metal scrap identification with laser-induced breakdown spectroscopy (LIBS) measurements…”
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Quantitative analysis of metal scraps using laser-induced breakdown spectroscopy measurements via unsupervised adversarial domain adaptation
Published in Chemometrics and intelligent laboratory systems (15-11-2022)“…In this study, we propose a domain adaptation-based scheme for the compositional analysis of metal scraps using laser-induced breakdown spectroscopy (LIBS)…”
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Public service announcements: A literature review and way forward
Published in International journal of consumer studies (01-11-2023)“…Abstract This paper presents a literature review of public service announcements (PSAs). Using the SPAR‐4‐SLR protocol, we uncover 119 articles on PSAs in the…”
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Nostalgic advertising: managing ambivalence to make it work
Published in Marketing intelligence & planning (07-05-2019)“…Purpose The purpose of this paper is to study the affective outcome of ambivalent nostalgia through use of executional variables, develop a framework linking…”
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Self-healing property of a gel-elastomer two-phase composite material
Published in Materialia (01-06-2024)“…While self-healing silicones are required for many practical applications, conventional methods of incorporating self-healability in silicones involve…”
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Nostalgic advertising in India: a content analysis of Indian TV advertisements
Published in Asia Pacific journal of marketing and logistics (01-01-2017)“…Purpose The purpose of this paper is to examine the presence of nostalgic advertising in Indian television and its execution with reference to extent of…”
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Evaluation of Eruption Pattern and Caries Occurrence among Children Affected with Fluorosis
Published in The journal of contemporary dental practice (01-10-2019)“…The aim of this study was to evaluate eruption pattern and occurrence of caries in children affected with fluorosis. One hundred and fifty subjects (75 each…”
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CV-Attention UNet: Attention-based UNet for 3D Cerebrovascular Segmentation of Enhanced TOF-MRA Images
Published 16-11-2023“…Due to the lack of automated methods, to diagnose cerebrovascular disease, time-of-flight magnetic resonance angiography (TOF-MRA) is assessed visually, making…”
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