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The application of machine learning (ML) methods and predictive analytics in disaster management has made a drastic change in this field over the past few years. With their unparalleled ability to forecast, prepare, and respond, these advanced technologies are transforming the complete paradigm of disaster and emergency management. Much of this work is reinforced by machine learning models, an artificial intelligence domain that analyses huge amounts of data to establish patterns and forecast future disasters. This research proposes novel techniques in disaster management-based healthcare system utilizing machine learning model for sustainable environment. The study utilizes a dataset Centre for Research on Epidemiology of Disasters (CRED) launched Emergency Events Database (EM-DAT) in 1988. Data on frequency as well as effects of about 15,700 incidents since 1900 can be found in International Disaster Database, or EM-DA, which is preprocessed for noise removal and normalization. The processed data features have been extracted utilizing deep adversarial gaussian multilayer perceptron and the features has been optimized using firefly swarm binary grasshopper optimization. Experimental analysis is carried out in terms of random accuracy, precision, recall, AUC, F-1 score. Proposed technique random accuracy 98%, precision 95%, F-1 score 94%, AUC 96%, Recall 97%.

Cerium dioxide (CeO 2 ) or Ceria nanorods were produced in the current work, using the chemical precipitation approach. X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), UV–visible, photoluminescence (PL), and electrochemical impedance spectroscopy (EIS), thermogravimetric and differential thermal analyses (TG/DTA) were used to assess the material characteristics of the produced samples. The XRD results reveal that the CeO 2 nanorods crystallized into the cubic fluorite crystal system. Micro-strain dislocation density, gain size and cell volume of the samples were assessed. XPS examination was performed to verify the chemical states of the constituent elements in CeO 2 nanorods. FTIR spectral analysis was used to investigate chemical bonds and molecular vibrations in CeO 2 nanorods. SEM analysis was used to observe the grain structure of CeO 2 nanorods. UV–visible spectroscopy determined the CeO 2 optical absorption characteristics, bandgap, and Urbach energy. PL study and CIE-chromaticity mapping were used to investigate the light-emitting characteristics of the CeO 2 nanorods. The EIS method was applied to examine the impedance nature of CeO 2 nanorods. TGA/DTA investigations were performed to find the thermal characteristics of CeO 2 nanorods. The study findings indicate the usefulness of CeO 2 nanorods as electrodes and optoelectronic materials. Graphical abstract

Cerium dioxide (CeO.sub.2) or Ceria nanorods were produced in the current work, using the chemical precipitation approach. X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), UV-visible, photoluminescence (PL), and electrochemical impedance spectroscopy (EIS), thermogravimetric and differential thermal analyses (TG/DTA) were used to assess the material characteristics of the produced samples. The XRD results reveal that the CeO.sub.2 nanorods crystallized into the cubic fluorite crystal system. Micro-strain dislocation density, gain size and cell volume of the samples were assessed. XPS examination was performed to verify the chemical states of the constituent elements in CeO.sub.2 nanorods. FTIR spectral analysis was used to investigate chemical bonds and molecular vibrations in CeO.sub.2 nanorods. SEM analysis was used to observe the grain structure of CeO.sub.2 nanorods. UV-visible spectroscopy determined the CeO.sub.2 optical absorption characteristics, bandgap, and Urbach energy. PL study and CIE-chromaticity mapping were used to investigate the light-emitting characteristics of the CeO.sub.2 nanorods. The EIS method was applied to examine the impedance nature of CeO.sub.2 nanorods. TGA/DTA investigations were performed to find the thermal characteristics of CeO.sub.2 nanorods. The study findings indicate the usefulness of CeO.sub.2 nanorods as electrodes and optoelectronic materials.