Search Results - "Soumya Ghosh"

iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments by Gupta, Harshit, Vahid Dastjerdi, Amir, Ghosh, Soumya K., Buyya, Rajkumar

“…Summary Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence…”
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Student performance analysis and prediction in classroom learning: A review of educational data mining studies by Khan, Anupam, Ghosh, Soumya K.

“…Student performance modelling is one of the challenging and popular research topics in educational data mining (EDM). Multiple factors influence the…”
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One-pot synthesis of zinc oxide nanoparticles via chemical precipitation for bromophenol blue adsorption and the antifungal activity against filamentous fungi by Akpomie, Kovo G., Ghosh, Soumya, Gryzenhout, Marieka, Conradie, Jeanet

“…In this research, zinc oxide nanoparticles (ZnONPs) were prepared via a facile one-pot chemical precipitation approach and applied in the adsorption of…”
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FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data by Das, Monidipa, Ghosh, Soumya K.

“…•This work proposes a data-driven framework for spatio-temporal prediction (FB-STEP).•FB-STEP attempts to address three major challenges in climatological…”
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Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data by Das, Monidipa, Ghosh, Soumya K.

“…With the advent of advanced remote sensing technologies in past few decades, acquiring higher resolution satellite images has become easier and cheaper in…”
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Antimicrobial Resistance Threats in the emerging COVID-19 pandemic: Where do we stand? by Ghosh, Soumya, Bornman, Charné, Zafer, Mai M.

“…Antimicrobial resistance (AMR) continues to exert a substantial toll on the global health and world economy and is now expected to be hidden by COVID-19 for a…”
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A Multilayered Adaptive Recurrent Incremental Network Model for Heterogeneity-Aware Prediction of Derived Remote Sensing Image Time Series by Das, Monidipa, Ghosh, Soumya K., Bandyopadhyay, Sanghamitra

“…Catastrophic forgetting of previously acquired knowledge is a major setback suffered by the neural networks (NNs) when these are trained on tasks in sequential…”
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Quantum localization and delocalization of charge carriers in organic semiconducting crystals by Giannini, Samuele, Carof, Antoine, Ellis, Matthew, Yang, Hui, Ziogos, Orestis George, Ghosh, Soumya, Blumberger, Jochen

“…Charge carrier transport in organic semiconductors is at the heart of many revolutionary technologies ranging from organic transistors, light-emitting diodes,…”
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Terpenoids are involved in the expression of systemic‐induced resistance in Austrian pine by Ghosh, Soumya K., Ishangulyyeva, Guncha, Erbilgin, Nadir, Bonello, Pierluigi

“…Terpenoids are defense metabolites that are induced upon infection or wounding. However, their role in systemic‐induced resistance (SIR) is not known. Here, we…”
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Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques by Das, Monidipa, Ghosh, Soumya K.

“…•Comparative study of computational intelligence (CI) based meteorological prediction.•Eleven variants of advanced state-of-the-art CI techniques have been…”
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A review on telemedicine-based WBAN framework for patient monitoring by Chakraborty, Chinmay, Gupta, Bharat, Ghosh, Soumya K

“…In this article, we describe the important aspects like major characteristics, research issues, and challenges with body area sensor networks in telemedicine…”
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Enhancement of Lifetime using Duty Cycle and Network Coding in Wireless Sensor Networks by Rout, R. R., Ghosh, S. K.

“…A fundamental challenge in the design of Wireless Sensor Network (WSN) is to enhance the network lifetime. The area around the Sink forms a bottleneck zone due…”
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A Deep-Learning-Based Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis by Das, Monidipa, Ghosh, Soumya K.

“…The problem of missing data in remote sensing analysis is manifold. The situation becomes more serious during multitemporal analysis when data at various…”
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semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data by Das, Monidipa, Ghosh, Soumya K.

“…•A variant of semantic Bayesian network, termed as semBnet, has been proposed.•semBnet incorporates spatial semantics during Bayesian network (BN) analysis.•It…”
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Spatial Interpolation to Predict Missing Attributes in GIS Using Semantic Kriging by Bhattacharjee, Shrutilipi, Mitra, Pabitra, Ghosh, Soumya K.

“…Prediction of spatial attributes has attracted significant research interest in recent years. It is challenging especially when spatial data contain errors and…”
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FogiRecruiter: A fog‐enabled selection mechanism of crowdsourcing for disaster management by Samanta, Riya, Ghosh, Soumya K.

“…Summary In the Internet of Things framework, crowdsourcing (CS) has played a significant role. A sufficient number of participants carrying sensors or IoT…”
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Dyes adsorption from aqueous media through the nanotechnology: A review by Osagie, Christian, Othmani, Amina, Ghosh, Soumya, Malloum, Alhadji, Kashitarash Esfahani, Zahra, Ahmadi, Shahin

“…The article aims to review the research findings on the adsorption of dyes from aqueous media. It was observed from the review that activated carbon and…”
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Mobi-IoST: Mobility-Aware Cloud-Fog-Edge-IoT Collaborative Framework for Time-Critical Applications by Ghosh, Shreya, Mukherjee, Anwesha, Ghosh, Soumya K., Buyya, Rajkumar

“…The design of mobility-aware framework for edge/fog computing for IoT systems with back-end cloud is gaining research interest. In this paper, a…”
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Shipping code towards data in an inter-region serverless environment to leverage latency by Sethi, Biswajeet, Addya, Sourav Kanti, Bhutada, Jay, Ghosh, Soumya K.

“…Serverless computing emerges as a new standard to build cloud applications, where developers write compact functions that respond to events in the cloud…”
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Predictive maintenance of vehicle fleets through hybrid deep learning-based ensemble methods for industrial IoT datasets by Chaudhuri, Arindam, Ghosh, Soumya K

“…Connected vehicle fleets have formed significant component of industrial internet of things scenarios as part of Industry 4.0 worldwide. The number of vehicles…”
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