53   Artículos

 
en línea
Haneul Lee and Seokheon Yun    
Accurately predicting construction costs during the initial planning stages is crucial for the successful completion of construction projects. Recent advancements have introduced various machine learning-based methods to enhance cost estimation precision... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Woonghee Lee and Younghoon Kim    
This study introduces a deep-learning-based framework for detecting adversarial attacks in CT image segmentation within medical imaging. The proposed methodology includes analyzing features from various layers, particularly focusing on the first layer, a... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ishaani Priyadarshini    
The swift proliferation of the Internet of Things (IoT) devices in smart city infrastructures has created an urgent demand for robust cybersecurity measures. These devices are susceptible to various cyberattacks that can jeopardize the security and funct... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Christine Dewi, Danny Manongga, Hendry, Evangs Mailoa and Kristoko Dwi Hartomo    
Face mask detection is a technological application that employs computer vision methodologies to ascertain the presence or absence of a face mask on an individual depicted in an image or video. This technology gained significant attention and adoption du... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Changhong Liu, Jiawen Wen, Jinshan Huang, Weiren Lin, Bochun Wu, Ning Xie and Tao Zou    
Underwater object detection is crucial in marine exploration, presenting a challenging problem in computer vision due to factors like light attenuation, scattering, and background interference. Existing underwater object detection models face challenges ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Luigi Gianpio Di Maggio, Eugenio Brusa and Cristiana Delprete    
The Intelligent Fault Diagnosis of rotating machinery calls for a substantial amount of training data, posing challenges in acquiring such data for damaged industrial machinery. This paper presents a novel approach for generating synthetic data using a G... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Atnafu Lambebo Tonja, Olga Kolesnikova, Alexander Gelbukh and Grigori Sidorov    
Despite the many proposals to solve the neural machine translation (NMT) problem of low-resource languages, it continues to be difficult. The issue becomes even more complicated when few resources cover only a single domain. In this paper, we discuss the... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Amal Naitali, Mohammed Ridouani, Fatima Salahdine and Naima Kaabouch    
Recent years have seen a substantial increase in interest in deepfakes, a fast-developing field at the nexus of artificial intelligence and multimedia. These artificial media creations, made possible by deep learning algorithms, allow for the manipulatio... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Vinod Cheppamkuzhi and Menaka Dharmaraj    
Lung cancer is seen as one of the most common lung diseases. For the patients having symptoms, the presence of lung nodules is checked by using various imaging techniques. Pulmonary nodules are detected in most of the cases having symptoms. But identifyi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Amthal K. Mousa and Mohammed Najm Abdullah    
The software defined network (SDN) collects network traffic data and proactively manages networks. SDN?s programmability makes it excellent for developing distributed applications, cybersecurity, and decentralized network control in multitenant data cent... ver más
Revista: Future Internet    Formato: Electrónico

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