AIMC Topic: Benzene

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Design and Performance Evaluation of Machine Learning-Based Terahertz Metasurface Chemical Sensor.

IEEE transactions on nanobioscience Mar 26, 2025
This paper presents a terahertz metasurface based sensor design incorporating graphene and other plasmonic materials for highly sensitive detection of different chemicals. The proposed sensor employs the combination of multiple resonator designs - in...
Machine Learning Surface Plasmon Resonance Graphite Terahertz Spectroscopy Benzene Ethanol Equipment Design
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Genomic and algorithm-based predictive risk assessment models for benzene exposure.

Frontiers in public health Jan 21, 2025
AIM: In this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.
Mice Benzene Occupational Exposure Algorithms Genomics Animals Humans Risk Assessment Machine Learning
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Data-driven predictive modeling of PM concentrations using machine learning and deep learning techniques: a case study of Delhi, India.

Environmental monitoring and assessment Nov 3, 2022
The present study intends to use machine learning (ML) and deep learning (DL) models to forecast PM concentration at a location in Delhi. For this purpose, multi-layer feed-forward neural network (MLFFNN), support vector machine (SVM), random forest ...
Air Pollution Particulate Matter Benzene Environmental Monitoring Air Pollutants Machine Learning Deep Learning
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Kriging-Based Land-Use Regression Models That Use Machine Learning Algorithms to Estimate the Monthly BTEX Concentration.

International journal of environmental research and public health Sep 23, 2020
This paper uses machine learning to refine a Land-use Regression (LUR) model and to estimate the spatial-temporal variation in BTEX concentrations in Kaohsiung, Taiwan. Using the Taiwanese Environmental Protection Agency (EPA) data of BTEX (benzene, ...
Humans Benzene Machine Learning Air Pollutants Algorithms Toluene Environmental Monitoring Taiwan Xylenes Benzene Derivatives
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Mesoporous cobalt monoxide-supported platinum nanoparticles: Superior catalysts for the oxidative removal of benzene.

Journal of environmental sciences (China) Dec 9, 2019
Mesoporous CoO (meso-CoO)-supported Pt (0.53 wt.% Pt/meso-CoO) was synthesized via the KIT-6-templating and polyvinyl alcohol (PVA)-assisted reduction routes. Mesoporous CoO (meso-CoO) was fabricated through in situ reduction of meso-CoO with glycero...
Oxidative Stress Platinum Benzene Metal Nanoparticles Cobalt Models, Chemical
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Bluetooth gas sensing module combined with smartphones for air quality monitoring.

Chemosphere Apr 26, 2018
This study addresses the development of a miniaturized (60 × 60 mm) Wireless Sensing Module (WSM) for environmental application and air quality detection. The proposed prototype has six sensors: one for humidity, one for ambient temperature (SHT21 fr...
Benzene Environmental Monitoring Air Pollution Neural Networks, Computer Algorithms Smartphone Gases Xylenes Formaldehyde Acetone Toluene
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Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection.

Sensors (Basel, Switzerland) Oct 7, 2017
For an electronic nose (E-nose) in wound infection distinguishing, traditional learning methods have always needed large quantities of labeled wound infection samples, which are both limited and expensive; thus, we introduce self-taught learning comb...
Formaldehyde Discriminant Analysis Acetone Wound Infection Electronic Nose Diagnostic Equipment Reproducibility of Results Benzene Machine Learning Ethanol
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Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.

Computer methods and programs in biomedicine Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Safety-Based Drug Withdrawals Computer Simulation Sensitivity and Specificity Benzene Support Vector Machine Carbon Area Under Curve False Positive Reactions Humans Drug Approval Toluene Algorithms Risk Linear Models Patient Safety Product Surveillance, Postmarketing Pattern Recognition, Automated Drug Monitoring Nervous System Pharmaceutical Preparations Ethylamines Data Mining
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[Establishment of New Zealand rabbit models of aplastic anemia].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Dec 20, 2017
OBJECTIVE: To screen for the optimal dose of benzene and cyclophosphamide using an orthogonal design for establishment of New Zealand rabbit models of aplastic anemia.
Blood Cell Count Bone Marrow Examination Animals Anemia, Aplastic Rabbits Cyclophosphamide Benzene Disease Models, Animal Bone Marrow
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