Infectious diseases like Covid-19 continue to pose a significant global health risk, with the potential to cause widespread pandemics. Precise prediction and detection of Covid-19 present formidable challenges in medical analysis, exacerbated by ...

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.
• ...

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 ...

Recently, new sensors with active pixels were brought to market. These sensors export local variations of light intensity in the form of asynchronous events with low latency. Since the data output format is a stream of addressable events and not ...

• Sparse-LBP extraction algorithm.
• Methodologies for memory-efficient object recognition with event-based sensors.
• Surface of active events representation using hash tables.

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 ...

Recently, many existing automatic facial verification methods have focused on learning the optimal distance measurements between facials. Especially in the case of learning facial features by similarity which can make the proposed descriptors too ...$$

In all developing and developed countries globally, skin diseases are becoming a prevalent health problem for humans of all age groups. Skin diseases create anxiety, affect mental health, worsen working life, and sometimes cause social isolation. ...

• Current lung cancer diagnostic methods fail to diagnose small malignant lung nodules and large nodules located away from large-diameter airways.
• Lung nodules’ texture and morphology can be used to differentiate malignant and benign ...

Lung cancer is an important cause of death and morbidity around the world. Two of the primary computed tomography (CT) imaging markers that can be used to differentiate malignant and benign lung nodules are the ...

Efficiently representing dynamic textures (DTs) is one of the significant challenges for video understanding in real implementations of computer vision applications. In this work, an efficient approach for DT description is introduced by ...

Emotions expressed on a human face have a significant impact on decisions and arguments on a variety of topics. According to psychological theory, a person’s emotional states can be categorized as the afraid, disgusted, angry, sad, happy, neutral ...

Emotions significantly affect learning. The affective states of students can be automatically recognized through behavioral cues using machine learning and deep learning techniques. The accuracy and robustness of the recognition results mainly ...

• A database of the facial expressions and hand gestures of students is compiled.
• Images are obtained from videos recorded during actual online learning.
• Images are labeled by both novice judges and researchers using academic ...

Lung diagnosis is one of the vital needs of the medical world. Lung cancer is the deadliest disease in the world which can be diagnosed using Computed Tomography (CT) images. The accuracy of lung cancer diagnosis in CT images through Computer ...

The traditional Local Binary Pattern (LBP) employs a 3x3 pixel window and examines the intensity differences between the center pixel and nearby neighbourhood pixels. However, LBP excludes the magnitude of difference information entirely, which ...

Hand gesture recognition has become one of the most important directions in human-computer interaction (HCI) research. Despite recent advances in this area, the development of methods and techniques to correctly recognize gestures is still ...

As an indispensable organism in nature, plants play an essential role in the ecological equilibrium. Ecological plant protection is also receiving increasing attention. In today's digital era, one of the important research topics is ...

• An improved LBP feature descriptor is proposed based on the LBP and MB-LBP.
• ...

This paper presents a novel denoising approach based on deep learning and signal processing to improve communication efficiency. Construction activities take place when different trades come to the site for overlapped periods to perform their ...

Biometric recognition systems are frequently used in daily life although they are vulnerable to attacks. Today, especially the increasing use of face authentication systems has made these systems the target of face presentation attacks (FPA). This ...

The reliability of photographs and digital images in general plays an essential role today in many areas of society. Technological advancements have greatly simplified the task of falsifying digital images, allowing in turn to decentralize ...

Content-based image retrieval (CBIR) is an automated process that seeks to retrieve similar/closer images from a large-scale image collection by extracting visual content from the images themselves. In general, CBIR systems consist of two main ...

The traditional Local binary pattern (LBP) compares the central pixel with all 8-neighboring pixels in a 3 × 3 pixel window to generate LBP codes. However, its circular structure may result in similar LBP codes for different structural patterns. ...