Gautam Srivastava
7 papers in the PaperMetrix corpus
Papers by this author
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Uncertain-Driven Analytics of Sequence Data in IoCV Environments
2020 · IEEE Transactions on Intelligent Transportation Systems
As the increasing availability and use of dynamic mobile communications, information from an Internet of Things (IoT) subset of devices, known as Internet of Connected Vehicles (IoCV), is collected with a level of uncertainty. To …
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Large-Scale High-Utility Sequential Pattern Analytics in Internet of Things
2020 · IEEE Internet of Things Journal
The concepts of sequential pattern mining have become a growing topic in data mining, finding a home most recently in the Internet of Things (IoT) where large volumes of data are presented by the second …
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A Blockchain-Based Energy Trading Scheme for Electric Vehicles
2021
An energy-trading system is essential for the successful integration of Electric vehicles (EVs) into the smart grid. Existing systems merely focus on making optimal decisions while others depend on anonymization to achieve EVs drivers' privacy …
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Emergent Deep Learning for Anomaly Detection in Internet of Everything
2021 · IEEE Internet of Things Journal
This research presents a new generic deep learning (DL) framework for anomaly detection in the Internet of Everything (IoE). It combines decomposition methods, deep neural networks, and evolutionary computation to better detect outliers in IoE …
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Blockchain Tree Powered Green Communication for Efficient and Sustainable Connected Autonomous Vehicles
2022 · IEEE Transactions on Green Communications and Networking
Connected and Autonomous Vehicles (CAV) is a system of inter-connectivity and communication between smart automated vehicles. Blockchain has emerged as a technology focusing on data security with a decentralized architecture and has been successful to …
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Temporal positional lexicon expansion for federated learning based on hyperpatism detection
2022 · Expert Systems
Abstract Internet‐based information exchange has resulted in the propagation of false and misleading information, which is highly detrimental to individuals and humankind. Due to the speed and volume of social media news production, supervised artificial …
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A Deep Convolutional Neural Network Model to Predict Consumer Recommendations using Online Reviews
2025 · International Journal of Information Technology & Decision Making
Detecting consumer perception using online reviews is challenging. Artificial Intelligence (AI) techniques have the potential to understand human perception. Sensing human psychology is essential for business growth and selecting products or services in emerging markets. …