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Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques.
Sci Rep
January 2025
School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, Belgrade, Serbia.
The expansion of LEAN and small batch manufacturing demands flexible automated workstations capable of switching between sorting various wastes over time. To address this challenge, our study is focused on assessing the ability of the Segment Anything Model (SAM) family of deep learning architectures to separate highly variable objects during robotic waste sorting. The proposed two-step procedure for generic versatile visual waste sorting is based on the SAM architectures (original SAM, FastSAM, MobileSAMv2, and EfficientSAM) for waste object extraction from raw images, and the use of classification architecture (MobileNetV2, VGG19, Dense-Net, Squeeze-Net, ResNet, and Inception-v3) for accurate waste sorting.
View Article and Find Full Text PDFA two-stage model of the fuzzy analytic hierarchy process and the fuzzy synthetic evaluation technique to prioritize sustainable sanitation services under uncertainty.
Sci Rep
January 2025
Department of Civil Engineering & Sustainable Structures, Technical University (Kadoorie), Jaffa Street, P.O. Box (7), Tulkarem, Palestine.
In the context of the Sustainable Development Goals (SDGs), which strive to ensure comprehensive access to fundamental water, sanitation, and hygiene (WASH) services, it is extremely imperative to prioritize communities in need and still disadvantaged. Moreover, tackling the worldwide sanitation crisis entails advancing the development of productive and sustainable sanitation systems and infrastructure. Sanitation planning is a multidimensional exercise encompassing multiple dimensions, stakeholders, and strategies, typically with conflicting objectives.
View Article and Find Full Text PDFConflicts of interest in the International Agency for Research on Cancer process of identifying carcinogenic hazards to humans.
Hum Exp Toxicol
January 2025
AnaPath Services GmbH/K. Weber Consulting GmbH, Oberbuchsiten, Switzerland.
Managing conflicts of interest (COIs) in scientific decision-making is important for minimizing bias and fostering public trust in science. Proper management of COIs has added significance when scientists are making decisions that impact public policy, such as assessing substances for carcinogenicity. The International Agency for Research on Cancer (IARC) organizes expert working groups to identify putative carcinogens and determine whether or not the hazard is likely to present significant potential harm to humans.
View Article and Find Full Text PDFSustainable Refinery Waste Management through Biotechnological Interventions: Health Impacts, Historical Successes, and Emerging Solutions.
Environ Res
January 2025
CSIR-North East Institute of Science and Technology, Jorhat-785006, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India. Electronic address:
In today's highly competitive and interconnected global market, economic achievement and prosperity are essential needs for every individual. However, in recent years, the "science of sustainability" has gained popularity due to mounting evidence of the damaging impacts of environmental issues. Lately, the expansion of petroleum industries and refineries has led to a substantial rise in the production of refinery oily waste.
View Article and Find Full Text PDFComprehensive Extractables and Leachables Sensitization Analysis and Practical Application of a Risk-Based Approach to Sensitization Assessment for Parenteral Drug Products.
Regul Toxicol Pharmacol
January 2025
Faegre Drinker Biddle & Reath LLP, Washington, DC, USA.
The Extractables and Leachables Safety Information Exchange (ELSIE) Consortium added to the sensitization potency analysis of Parris et al. (2023) by including the Product Quality Research Institute (PQRI) extractable and leachable dataset (Johnson et al., 2024; Product Quality Research Institute, 2021).
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