Machine learning approach for determining the water quality of freshwater lakes: A case study on selected lakes of Chennai, India
C Venkatesh, L Tharanikumar… - Environmental …, 2024 - Wiley Online Library
Monitoring freshwater quality in urban like Chennai is indispensable as the chief drinking
water source for the city originates from freshwater lakes. This study portrays an economical …
water source for the city originates from freshwater lakes. This study portrays an economical …
Design and Research of Facial Expression Recognition System Based on Key Point Extraction.
Y Qu, Y Liu - KSII Transactions on Internet & Information …, 2025 - search.ebscohost.com
Currently, facial recognition is very common in the use of libraries, such as self-service
borrowing systems and access gate systems. The face recognition system, which extracts …
borrowing systems and access gate systems. The face recognition system, which extracts …
Course-Correct to DeFi Lacking Default Deficiency
DW Kravitz, MZ Halverson - 2023 20th Annual International …, 2023 - ieeexplore.ieee.org
This paper explores methods of assessing risk on-chain by efficiently integrating off-chain
identity-and attribute-verification and on-chain transaction activity. While decentralized …
identity-and attribute-verification and on-chain transaction activity. While decentralized …
DeFi That Defies: Imported Off-Chain Metrics and Pseudonymous On-Chain Activity
DW Kravitz, MZ Halverson - Cryptology ePrint Archive, 2022 - eprint.iacr.org
Traditional finance quantifies risk by collecting and vetting reputation information for an
individual, such as credit scores or payment history. While decentralized finance (DeFi) is an …
individual, such as credit scores or payment history. While decentralized finance (DeFi) is an …
Handling Imbalanced Data for Credit Card Fraudulent Detection: A Machine Learning Approach
Imbalanced data is crucial for contemporary machine learning models. Evaluating the
effectiveness of machine learning classifiers under an unfair dataset is problematic. Several …
effectiveness of machine learning classifiers under an unfair dataset is problematic. Several …