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This paper presents allocate connections between texts (ACT), a novel three-stage algorithm for the automatic detection of biblical quotations in Rabbinic literature. Unlike existing text reuse frameworks that struggle w...

Background/Aim: The temporomandibular joint (TMJ) is a complex anatomical region composed of the mandibular condyle located in the glenoid fossa of the temporal bone and covered with fibrous connective tissue. Excessive ...

Wildlife strikes represent a significant threat to aviation safety and economics, as evidenced by notable incidents such as the emergency landing of US Airways Flight 1549 in 2009. The Federal Aviation Administration (FA...

Tuberculosis (TB) continues to be one of the foremost public health issues in the world, and remains the second most salient communicable cause of death after COVID-19. In 2022, TB accounted for 10.6 million new infectio...

Conventional Garden classification of femoral-neck fractures relies on radiography or CT, but image quality variations, indistinct fracture lines, and inter-observer differences often cause misclassification—especially...

Materias / palabras clave: artificial intelligence; computer-assisted diagnosis; convolutional neural network; deep learning; femoral-neck fractures; garden classification

Abstract This paper aims to develop an automatic miscalibration detection and correction framework to maintain accurate calibration of LiDAR and camera for autonomous vehicle after the sensor drift. First, a monitoring a...

We present a new method for automatic detection of flare events from images in the optical range. The method uses neural networks for pattern recognition and is conceived to be applied to full-disk Halphaimages. Images a...

The paper presents some real‑time analytical solutions that work in a proprietary‑designed system for IT security. It describes automatic methods of data transformations and analysis aiming at detection of potential ...

Epilepsy is a chronic neurological disorder of the brain that affects around 50 million people worldwide. The early detection of epileptic seizures using electroencephalogram (EEG) signals is a useful tool for several ap...

Actualmente los sistemas informáticos gestionan gran cantidad de datos a través de la red. Este continuo crecimiento ha provocado a su vez un aumento en el número de accesos y la manipulación de datos no autorizados ...

A new strategy is proposed here for the diagnosis of asymmetric demagnetisation in permanent magnet synchronous machines. The strategy is based on the measuring of the voltage at the midpoint of the windings within a pha...

IntroductionEarly and accurate diagnosis of skin cancer has a huge impact on the survival rate of patients and deep learning-based CNN and dermatologists' intelligence support can fasten the diagnosis not only within the...

Food safety is a crucial issue in Indonesia, especially regarding the use of hazardous preservatives such as formaldehyde in street food. Manual monitoring of formaldehyde use is often ineffective, so an automated system...

Giardia lamblia is a waterborne parasite that affects millions of people every year worldwide, causing a diarrheal illness known as giardiasis. Timely detection of the presence of the cysts of this parasite in drinking w...

Earthquakes are natural disasters that occur suddenly and can cause severe impacts, both in terms of structural damage and human casualties. To reduce the risks and consequences, an early warning system that provides rap...

The massive spread of fake news (hoaxes) on digital platforms has become a serious challenge in Indonesia, with the potential to disrupt social stability and undermine public trust. This background drives the urgency of ...

Abstract Due to the complexity of substation systems and the diversity of data sources, potential inaccuracies or inconsistencies in data may compromise the accuracy of intelligent detection. To address this issue, an in...

The development of artificial intelligence (AI) technology, especially large language models like ChatGPT, presents challenges related to the authenticity and validity of digital content. AI's ability to produce human-li...

Sleep plays an important role in physical health, cognition, and emotional well-being. Since sleep disorders can affect all these aspects, accurately detecting sleep stages is key to proper diagnosis and monitoring. Auto...

Peacocks have become a significant threat to agricultural fields, causing crop damage and affecting irrigation infrastructure. Traditional deterrence tools, such as scarecrows and nets, are often inefficient, labor- inte...

ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has ...

Abstract With the development of sports rehabilitation, accurate assessment of the patient’s rehabilitation process has become the key to enhance the rehabilitation effect. To solve the problems of inaccurate recogniti...

In patients with brain injury, conventional clinical paradigm based on macro imaging and behavioral scales fails to achieve precise localization and dynamic assessment of neural functions and network connectivity. It is ...