In this study, a new sulfur-nitrogen co-doped Fe2O3 nanostructure was synthesized via simple and efficient method characterized UV-Vis spectrophotometry, X-ray diffraction, field emission scanning electron microscopy, energy-dispersive spectroscopy, Brunauer-Emmett-Teller surface area analysis. The as-synthesized nanoparticles showed high efficiency for the removal of methylene blue. experimental conditions including dose nanoparticle, concentration dye, pH light were studied optimized....

Abstract The South Khorasan Province in Iran is the main producer of seedless barberry, accounting for 98% country’s production. This has led to significant economic growth region. However, cultivation barberry threatened by rust fungus Puccinia arrhenatheri, which causes witches’ brooms on Berberis vulgaris L. var. asperma. Our research aims detect infected leaves containing this fungal pathogen using deep learning (DL)-based artificial intelligence (AI) techniques an available dataset. We...

Detecting an on-the-ground object is a subject of interest for use in some applications.Foreign Object Detection (FOD), which important issue aviation safety, possible application.In this way, radar imaging, has several inherent advantages over other detection techniques.This paper will introduce ground-based Circular Synthetic Aperture Radar, detects and localizes various objects, based on their reflection properties microwaves.Here, wideband Linear Frequency Modulated (LFM) chirp pulses...

Introduction Breast cancer is the second cause of mortality among women. Early detection it can enhance chance survival. Screening systems such as mammography cannot perfectly differentiate between patients and healthy individuals. Computer-aided diagnosis help physicians make a more accurate diagnosis. Materials Methods Regarding importance separating normal abnormal cases in screening systems, hierarchical classification system defined this paper. The proposed including two Adaptive...

Grapevine Fanleaf Virus (GFLV) is one of the most important viral diseases grapes, which can damage up to 85% crop, if not treated at right time.The aim this study identify infected leaves with GFLV using artificial intelligent methods an accessible database.To do this, some pictures are taken from and healthy grapes labeled by technical specialists conventional laboratory methods.In order provide method for distinguishing ones, area unhealthy parts each leaf highlighted Fuzzy C-mean...

Background COVID-19 pandemic imposed a lockdown situation to the world these past months. Researchers and scientists around globe faced serious efforts from its detection treatment. Methods Pathogenic laboratory testing is gold standard but it time-consuming. Lung CT-scans X-rays are other common methods applied by researchers detect positive cases. In this paper, we propose deep learning neural network-based model as an alternative fast screening method that can be used for detecting cases...

Background: Magnetic resonance imaging (MRI) plays an important role in clinical diagnosis. The ability of fuzzy c-mean (FCM) algorithm segmenting MR images has been proven. Some are contaminated with noise. FCM performance is degraded noisy images. Several efforts done to overcome this weakness. Objectives: aim study was propose a new method for image segmentation which more resistant than other methods when confronted. Materials and Methods: In study, simulated brain database prepared by...

This paper introduces a ground-based Multistatic Circular Synthetic Aperture Radar (MuCSAR) used to detect small objects on the ground. The received signals have been modelled and system prototype has developed. proposed signal processing is also described. An experimental investigation for Foreign Object Detection application analysed.

Abstract The use of radar systems for detecting on-the-ground objects is a subject interest some applications. Among them, foreign object detection are important issues in airport aviation safety. Due to the characteristics object, ground-based bistatic configuration introduced this article. transmitter sends broadband linear frequency modulated chirp pulses. reflected pulses collected simultaneously by at least two receivers installed different positions. Accurate range processing conducted...

Synthetic Aperture Radar is well known for producing a radar image of the ground, so it can be used detecting onthe-ground object which interesting some applications.A possible application Foreign Object Detection (FOD), an important issue in aviation safety.A ground-based Circular Bistatic (Circular-BiSAR) introduced this paper.The circular movement makes more practical while bistatic configuration offers advantages.Wideband Linear Frequency Modulated (LFM) chirp pulses are employed here,...

Background:: Simultaneous determination of medication components in pharmaceutical samples using ordinary methods have some difficulties and therefore these determinations usually were made by expensive instruments. Chemometric are an effective way to analyze several simultaneously. Objective:: In this paper, a novel approach based on Bayesian regularized artificial neural network is developed for the Loratadine, Naproxen, Diclofenac water UV-Vis spectroscopy. Methods: A dataset collected...

A radar system for detecting and localizing small targets on the ground is proposed in this paper. The transmits wideband Linear Frequency Modulated pulses from ground-based transmitter. reflected will be collected simultaneously by two different receivers installed bistatic positions. Accurate range processing configuration lead us to detect objects like N-type connectors several meters distances.