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Deep learning model based prediction of vehicle CO emissions with eXplainable AI integration for sustainable environment.
Sci Rep
January 2025
Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, 1229, Bangladesh.
The transportation industry contributes significantly to climate change through carbon dioxide ( ) emissions, intensifying global warming and leading to more frequent and severe weather phenomena such as flooding, drought, heat waves, glacier melting, and rising sea levels. This study proposes a comprehensive approach for predicting emissions from vehicles using deep learning techniques enhanced by eXplainable Artificial Intelligence (XAI) methods. Utilizing a dataset from the Canadian government's official open data portal, we explored the impact of various vehicle attributes on emissions.
View Article and Find Full Text PDFDistribution and Fasciola infection rates of Lymnaea snails and cattle in high-salinity areas of Mekong Delta, Vietnam.
J Vet Med Sci
January 2025
Laboratory of Global Animal Resource Science, Department of Global Agricultural Sciences, Graduate School of Agricultural and Life Sciences, The University of Tokyo.
Fasciola-induced fascioliasis is a zoonotic disease with significant health and economic impacts on humans and livestock. Freshwater Lymnaea snails serve as intermediate hosts, contributing to the increasing prevalence of fascioliasis in cattle in coastal areas. The salinity tolerance of Lymnaea snails was investigated along with their distribution and Fasciola infection rates in both snails and grazing cattle in Ben Tre, Tra Vinh, and Soc Trang provinces in Mekong Delta, Vietnam, where seawater reversely enters into the paddy field during the dry season.
View Article and Find Full Text PDFExecutive dysfunction in Parkinson's disease: From neurochemistry to circuits, genetics and neuroimaging.
Prog Neuropsychopharmacol Biol Psychiatry
January 2025
Department of Rehabilitation, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China; Department of Neurology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China; Department of Clinical Medical Research Center, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China. Electronic address:
Cognitive decline is one of the most significant non-motor symptoms of Parkinson's disease (PD), with executive dysfunction (EDF) being the most prominent characteristic of PD-associated cognitive deficits. Currently, lack of uniformity in the conceptualization and assessment scales for executive functions impedes the early and accurate diagnosis of executive dysfunction in PD. The neurobiological mechanisms of executive dysfunction in PD remain poorly understood.
View Article and Find Full Text PDFMonitoring wetland cover changes and land surface temperatures using remote sensing and GIS in Göksu Delta.
Integr Environ Assess Manag
January 2025
Faculty of Fine Arts, Design and Architecture Department of Landscape Architecture, Tekirdağ Namık Kemal University, Tekirdağ, Türkiye.
Wetlands provide necessary ecosystem services, such as climate regulation and contribution to biodiversity at global and local scales, and they face spatial changes due to natural and anthropogenic factors. The degradation of the characteristic structure signals potential severe threats to biodiversity. This study aimed to monitor the long-term spatial changes of the Göksu Delta, a critical Ramsar site, using remote sensing techniques.
View Article and Find Full Text PDFMachine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt.
Sci Rep
January 2025
Rashpetco Company, Cairo, Egypt.
This study presents a comprehensive workflow to detect low seismic amplitude gas fields in hydrocarbon exploration projects, focusing on the West Delta Deep Marine (WDDM) concession, offshore Egypt. The workflow integrates seismic spectral decomposition and machine learning algorithms to identify subtle anomalies, including low seismic amplitude gas sand and background amplitude water sand. Spectral decomposition helps delineate the fairway boundaries and structural features, while Amplitude Versus Offset (AVO) analysis is used to validate gas sand anomalies.
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