School of Civil and Environmental Engineering

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Explainable deep learning model for predicting money laundering transactions

Kute, DV Pradhan, B Shukla, N Alamri, A

Money laundering has been a global issue for decades. The ever-changing technology landscape, digital channels, and regulations make it increasingly difficult. Financial institutions use rule-based...

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Evaluating the Adaptability of Large Language Models for Knowledge-aware Question and Answering

Thakkar, J Kolekar, S Gite, S Pradhan, B Alamri, A

Large language models (LLMs) have transformed open-domain abstractive summarization, delivering coherent and precise summaries. However, their adaptability to user knowledge levels is largely unexp...

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Deep-Transfer-Learning Strategies for Crop Yield Prediction Using Climate Records and Satellite Image Time-Series Data

Joshi, A Pradhan, B Chakraborty, S Varatharajoo, R Gite, S Alamri, A

The timely and reliable prediction of crop yields on a larger scale is crucial for ensuring a stable food supply and food security. In the last few years, many studies have demonstrated that deep l...

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Assessing the Impact of Agricultural Practices and Urban Expansion on Drought Dynamics Using a Multi-Drought Index Application Implemented in Google Earth Engine: A Case Study of the Oum Er-Rbia Watershed, Morocco

Serbouti, I Chenal, J Pradhan, B Diop, EB Azmi, R Abdem, SAE Adraoui, M Hlal, M Bounabi, M

Drought monitoring is a critical environmental challenge, particularly in regions where irrigated agricultural intensification and urban expansion pressure water resources. This study assesses the ...

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Standardized methodology for performance evaluation in using polyaniline-based adsorbents to remove aqueous contaminants

Samadi, A Kong, L Guo, W Sillanpää, M Boztepe, I Song, C Zeng, Q Zhao, S

In literature, mistakes and inconsistencies in evaluation of the adsorption equilibrium, kinetics, and thermodynamics in pollutants removal often exist. Here, we review these mistakes and propose a...

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Optimizing ciprofloxacin removal through regulations of trophic modes and FNA levels in a moving bed biofilm reactor performing sidestream partial nitritation.

Xu, Y Wang, X Gu, Y Liang, C Guo, W Ngo, HH Peng, L

The performance of partial nitritation (PN)-moving bed biofilm reactor (MBBR) in removal of antibiotics in the sidestream wastewater has not been investigated so far. In this work, the removal of c...

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Assessing the Long-Term performance of an integrated microbial fuel Cell-Anaerobic membrane bioreactor for swine wastewater treatment

Huang, H Zhang, X Du, Q Gao, F Wang, Z Wu, G Guo, W Hao Ngo, H

To improve the performance of an anaerobic membrane bioreactor (AnMBR) treating swine wastewater, an integrated microbial fuel cell (MFC)-AnMBR was constructed and operated for 185 days at organic ...

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A nutrient circular economy framework for wastewater treatment plants

Soo, A Shon, HK

Given the criticality of phosphorous and the harm eutrophication causes, wastewater treatment plants (WWTP) are undergoing circular economy (CE) conversions into becoming centres for resource recov...

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A hybrid oxidation approach for converting high-strength urine ammonia into ammonium nitrate

Zuo, Z Zhang, T Huang, X Cen, X Lu, X Liu, T Shon, HK Zheng, M

Nutrient resources contained in human urine have great potential to alleviate global agricultural fertilizer demand. Microbial nitrification is a recognized strategy for stabilizing urine ammonia i...

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A deep dive into tunnel blasting studies between 2000 and 2023—A systematic review

He, B Armaghani, DJ Lai, SH He, X Asteris, PG Sheng, D

Tunnel blasting is a common practice used to excavate rock formations. Many academic research articles have emerged and burgeoned in the field of tunnel blasting. These articles are dedicated to in...

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