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Glaucoma is an eye disease that can result in perpetual eye vision loss if not perceived and treated in time. Therefore, an accurate and efficient automated method has been proposed for diagnosing Glaucoma. This method enables mass ...

• The ability of two spectra to detect wheat powdery mildew (WPM) was compared.
• The performance of multi-feature detection WPM was compared.
• A three-band texture index could detect WPM in advance compared to other features.
• WPM ...

Remote sensing based on unmanned aerial vehicle (UAV) is a non-destructive way for wheat powdery mildew (WPM) detection in the field management and crop protection. However, WPM causes complex symptoms and impacts on wheat plants, such as ...

A person needs self-confidence in order to act normal as well as desired manner. Physical state of an individual, which sorts feelings of inadequacy and melancholy, which is one of the internal elements contributing to lack of confidence in ...

The last few decades have witnessed exponential rise in leprosy also called Hansen diseases globally. Being chronic and infectious in nature, eradicating leprosy has remained a challenge. Despite a few recent efforts employing vision computing-...

The high pace of rising leprosy cases and resulting socio-stigma has alarmed academia-industries to achieve non-invasive, touchless, and vision-based computer aided diagnosis (CAD) solution for leprosy detection and classification. Unlike ...

Digital image forgery has become hugely widespread, as numerous easy-to-use, low-cost image manipulation tools have become widely available to the common masses. Such forged images can be used with various malicious intentions, such as to harm ...

• Image splicing detection using Texture and Haralick features from GLCM.
• Achieved accuracy of 95% and AUC score of 0.99.
• Feature set is optimized with dimension 15 only.
• Non-overlapping block segmentation for splicing ...

This study proposes a non-invasive method for predicting Coronary Artery Disease (CAD) using iris analysis, patient data, and Machine Learning (ML), primarily with iris images. It involved 281 participants, comprising 155 CAD patients and 126 non-...

• Novel method integrates iris images & biodemographic data for CAD prediction.
• Comparative analysis of three data scenarios reveals insights.
• Comprehensive evaluation of ML techniques per scenario enhances CAD detection.
• ...

In this study, we introduced and applied a novel histogram transformation technique to enhance the interpretability and discriminative power of Cross-Frequency Coupling (CFC) maps derived from EEG signals for dyslexia detection. Our approach ...

The coronavirus diseases (COVID-19) are transmittable diseases which are caused by Severe Acute Respiratory Syndrome human coronavirus (SARS-CoV). This paper describes the identification of coronavirus disease infections and better treatments ...

Several countries have traditional textiles as a piece of their cultural heritage. Indonesia has a traditional textile called batik. Central Java is one of the regions producing batik known for its variety of distinctive themes. It has unique designs and ...

• A data collection method acquiring data from tobacco curing sources is developed.
• The variation laws of impact factors of multi-source curing data are explored.
• A multi-sensor data fusion scheme with embedded XGBoost is proposed ...

The quality and economic value of cigarettes depend heavily on the quality of tobacco curing, which is greatly influenced by the temperature rise time during the process. Accurately setting the temperature rise time is crucial in creating the ...

This research developed a hybrid methodology for crop disease classification using cloud computing and big data analytics in agriculture. First, adaptive bilateral filtering is suggested during the preprocessing stage for acquired data from the plant ...

One of the most common cancers worldwide is cervical cancer and is ranked as fourth among all gynaecological malignancies. In this research, a model named fractional gorilla chimp optimisation-based Shepard convolutional neural network (FGChO-based ShCNN)...

Breast cancer is become the most prevailing and fastest growing disease. In medical imaging, the use of machine learning and deep learning algorithms is essential. Classification of the tumor to predict the chemotherapy response for survival is ...

This study aims to obtain accuracy for classification of diabetes mellitus based on fingernail images using neural network. The data is fingernail images with fasting conditions and non-fasting conditions. In each condition, data is divided into ...

Agricultural landscapes are constantly at risk due to erratic weather phenomena. Monitoring these landscapes, especially through crop-type maps produced from remote sensing imagery, becomes imperative. These maps serve as pivotal tools in ...

In this paper, a novel image retrieval method based on colour-texture contents for radar remote sensing applications is proposed, where global properties-based colour contents are extracted from different numbers of groups of histograms of colour image ...

Machine Learning (ML) and feature extraction techniques have shown a great potential in medical imaging field. This work presents an effective approach for the identification and classification of thyroid nodules. In the proposed model, various features ...

The Coronavirus Disease (COVID-19) caused a lot of mortality. The high mortality rate occurred because of the physicians’ wrong or late identification of COVID-19 severity. So, developing Computer-Aided Design (CAD) systems using Artificial ...

• This paper proposes a CAD system for COVID-19 severity prediction.
• The proposed system uses a two-stage neural network architecture.
• The proposed system consists of two phases: feature extraction and severity identification.
• A ...

When monitoring combustion conditions, detecting minor variations, which may be complex even for the human eye, is critical for providing a fast response and correcting deviations. The aim of this study is to detect slight variations in ...