Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…
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179 results for “3D Deep Learning”
In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…
Biomedical Sciences are the technological disciplines that aim to explore methods to obtain, produce, reveal or produce information related to understand, model, monitor, diagnose, combat problems in human and/or animal bodies. Machine learning in biomedical t…
Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…
Over the past century, before and after the pandemic of COVID-19, workers in multiple sectors, such as medical, chemical, and nuclear, have been required to wear face masks during duties. However, physical 24/7 supervision is nearly impossible in public places…
In this study, it is aimed to develop a deep learning application which detects types of garbage into trash in order to provide recyclability with vision system. Training and testing will be performed with image data consisting of several classes on differen…
The Internet of Vehicles (IoV) is a branch of the Internet of Things that deals with vehicle-to-vehicle communication and intelligent transport systems (ITS). But this connection is not without consequences, because the more a system exchanges information, the…
This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…
The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have seve…
Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …
It is important to determine the initial level of failures of induction motors used in many industrial applications. The sudden stops of the system can be prevented with the pre-detection of the fault. The experiment mechanism was established to detect mechani…
Education systems are facing many challenges today. Information technologies and the nature of work have been changing rapidly and redefining the concepts of training and workforce. Professions will evolve and some of the jobs we know today will disappear in…
Deep learning allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction mimicking how the brain perceives and understands multimodal information, thus implicitly capturing intricate structures of …
The main goal of this research is to investigate the potential and current role of generative AI in improving and developing avionics systems, and aviation-related applications. Avionics, a vital part of aviation industry, consists of a set of equipment and el…
In this paper we presents an application of deep learning techniques to recognize handwritten source code characters. Although there are many works on the handwritten character recognition (HCR) problem, very few works have been done about the offline handwrit…
The Motion Picture Association of America(MPAA) is used in the United States to rate a film's compatibility via its content. These systems evaluate ratings according to the scenes in the movies. In this work, a deep learning based classification technique is p…
Based on the crucial role of vocabulary in language education, the present study set out to examine preservice EFL teachers views on learning and teaching vocabulary. The main aim in so doing is to enhance teacher education programs in terms of more effective…
We are at a time when electronic systems are structured in a manner similar to the human brain.The memristor, a neuromorphic circuit designed by Chua in 1971, is a modeling of synaptic learning and associative learning. Neuromorphic circuit elements and memris…
Yapay sinir ağları makine öğrenmesi alanında birçok problemin çözümünde sıklıkla kullanılmaktaydı. Fakat “Yapay Zeka Kışı” olarak da adlandırılan dönemde ilk olarak donanımsal kısıtlamalar ve diğer problemler sebebiyle bu alandaki çalışmalar durma noktasına ge…
In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…