Images - Science topic

Frame theory has been a great revolution for recent years. This theory has several properties applicable in many fields of mathematics and engineering. This theory plays a signifiant role in signal and image processing, wich leads to many applications in informatics, medicine and probability. In this paper, we introduce the concept of controlled co...

Accepted version at Robotics and Computer Integrated Manufacturing

Book in press (out in 2024) on the implications of the hypothetical emergence of human-level artificial intelligence for the notions of human distinctiveness and imago Dei in theological anthropology.

Various approaches to lumbar interbody fusion have been described. The usefulness of full-endoscopic trans-Kambin's triangle lumbar interbody fusion has recently been reported. This technique has several advantages in patients with degenerative spondylolisthesis, including the ability to improve symptoms without decompression surgery. Moreover, giv...

A 78-year-old man underwent a tracheostomy after embolization for a dural arteriovenous fistula. Seventy days after tracheostomy, arterial bleeding appeared through the tracheal stoma. The bleeding stopped spontaneously. However, two days later, arterial bleeding reappeared, and he was diagnosed with a tracheo-innominate artery fistula (TIF). He th...

A insatisfação com a imagem corporal é um importante fator relacionado à transtornos alimentares. Nota-se que as redes sociais divulgam continuamente o corpo magro e musculoso, o que contribuiu para a internalização do corpo ideal. Entretanto, precisa ser melhor esclarecida a influência das redes sociais sobre a insatisfação com a imagem corporal e...

Amaç: Bu çalışmanın amacı, ışıkla uyarılabilen fosfor (Photostimulable Storage Phosphor, PSP) plakalarının ışınlama-tarama süreçleri arasındaki farklı tarama gecikmeleri (bekletme süresi) ve saklama koşullarının görüntülerindeki Ortalama Gri Değer (OGD) değişimine etkisini değerlendirmekti. Gereç ve Yöntem: Saklama koşuluna göre oluşturulan dört gr...

Dear Colleagues, Within the past several decades, owing to the improvement of the ability and performance of imaging sensors, spectral imaging technology has significantly enhanced observation abilities in various areas. This Special Issue aims to support the development and collection of new proposals about hyperspectral image processing and appli...

The complementary Gray code double N-step phase shift method is widely used because of its high detection accuracy and good robustness. However, phase unwrapping methods have the problem of low detection efficiency. In order to solve above problem, this paper proposes a complementary Gray code like double N-step phaseshift method without Gray code...

U-net convolutional neural network (CNN) is a famous architecture developed to deal with medical images. Fine-tuning CNNs is a common technique used to enhance their performance by selecting the building blocks which can provide the ultimate results. This paper introduces a method for tuning U-net architecture to improve its performance in medical...

Generally speaking, labeled data is difficult and expensive to provide for applications in machine learning and data mining. One of the earliest approaches to tackle this problem is semi-supervised self-training to take advantages of labeled and unlabeled data to create pseudo-labeled data. However, reaching a high level of confidence to predict th...

Variational active contour seeks to segment or extract desired object boundaries for further analysis. The model can be divided into global segmentation and selective segmentation. Selective segmentation, which focuses on segmenting a particular object, is preferable to the global model. Recently, a number of selective segmentation models have been...

Generative adversarial networks have succeeded promising results in the medical imaging field. One of the most significant challenges in this regard is the lack of or limited data sharing. In our work, an approach for combining generative adversarial network (GAN) and variational autoencoder (VAE) models has been proposed to improve the accuracy an...

In this paper, we investigate the suitability of current multi-label classification approaches for deepfake detection. With the recent advances in generative modeling, new deepfake detection methods have been proposed. Nevertheless, they mostly formulate this topic as a binary classification problem, resulting in poor explainability capabilities. I...

Diffuse optical tomography (DOT) technology enables a differentiation between oxyhemoglobin (HbO) and deoxyhemoglobin (HbR) in the sensory and motor cerebral gyri, resulting in greater sensitivity for cerebral activation compared to functional magnetic resonance imaging (fMRI). Here, we introduce a novel approach where functional regions of interes...

Politics is not socially empty. Therefore, politicians must also find the right strategy to increase popularity and electability. One way that can be used is the use of social media. Social media is now widely used by political actors as a means to absorb aspirations in the political field. One of the social media that is currently widely used as a...

In this paper we introduce a new keyed hash function based on 32-bit integer multiplication that we call Multimixer-128. In our approach, we follow the key-then-hash parallel paradigm. So, we first add a variable length input message to a secret key and split the result into blocks. A fixed length public function based on integer multiplication is...

The research aims to (1) examine the influence of Brand image on re-purchases, (2) examine the influence of Customer perceives value on re-purchases, (3) examine the influence of Customer satisfaction on re-purchases, and (4) examine the influence of Brand image, Customer perceives value and Customer satisfaction on re-purchases of Sasha Inchi bean...

Perubahan perilaku konsumen menjadi lebih green sangat menarik untuk diamati. Hal ini menjadi titik fokus penelitian ini, yaitu mengangkat topik green customer loyalty. Terdapat lima variabel yang akan menjadi pembahasan yaitu : Green Product Quality, Green Brand Image, e- WOM, Green Customer Loyalty, dan Trust. Penelitian ini dilakukan untuk menge...

Traditionally, science has assumed that one motor action corresponds to one focus. This assumption was likely so intuitive that it was never challenged. However, this has led to the situation where, even after more than 100 years of movement sciences, a plausible explanation for the underlying functional perception processes guiding the execution o...

Novel Class Discovery (NCD) is the problem of trying to discover novel classes in an unlabeled set, given a labeled set of different but related classes. The majority of NCD methods proposed so far only deal with image data, despite tabular data being among the most widely used type of data in practical applications. To interpret the results of clu...

Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal information in imaging data), a self-supervised learning method for removing Poisson–Gaussian noise in voltage imaging data. SUPPORT is based on the insight that a pixel value in voltage imaging data is highly dependent on its spatiotemporal neighboring pixels, even...

Recently, several arbitrary-scale models have been proposed for single-image super-resolution. Furthermore, the importance of arbitrary-scale single image super-resolution is emphasized for applications such as satellite image processing, HR display, and video-based surveillance. However, the baseline integer-scale model must be retrained to fit th...

Visual affordance detection aims to understand the functional attributes of objects, which is crucial for robots to achieve interactive tasks. Most existing affordance detection methods mainly utilize the global image features for affordance detection while do not fully exploit the features of local relevant objects in the image, which often leads...

This study compares the lying behavior of groups that consist of paired friends to that of individuals in a dice-rolling experiment. Both groups and individuals exhibit strong evidence of lying, but partial lying (not lying to the maximum extent possible) is more pronounced under group decisions. Furthermore, we estimate the preference parameter(s)...

Vehicle detection and speed estimation are important factors in road safety management. This module is important in the monitoring system because the citizen's safety is the primary priority. Object tracking in video surveillance is of great interest to many researchers, which is an important application and emerging research area in machine learni...

Face image super-resolution (FSR) is a subtask of image super-resolution that aims to enhance the resolution of facial images. Previous FSR methods have leveraged facial prior information, such as parsing maps and landmarks, to improve their performance. However, these methods have not fully utilized the potential of this prior information, as they...

In medical image analysis, obtaining high-quality labeled data is expensive, and there is a large amount of unlabeled image data that is not utilized. Semi-supervised learning can use unlabeled data to improve the model performance in the presence of data scarcity medical image analysis. In this paper, we propose a semi-supervised framework for med...

Self-supervised learning has been successful in computer vision, and its application to medical imaging has shown great promise. This study proposes a novel self-supervised learning method for medical image classification, specifically targeting ultra-wide-field fundus images (UFI). The proposed method utilizes contrastive learning to pre-train a d...

Azimuthal Jet Noise Image Synthesis

Hyperspectral imaging (HSI) has been used in a wide range of applications in recent years. But in the process of image acquisition, hyperspectral images are subject to various types of noise interference. Noise reduction algorithms can be used to enhance the quality of images and make it easier to detect and analyze features of interest. To realize...

Existing generative adversarial network-based methods for facial expression synthesis require larger datasets for training. Their performance tends to decrease noticeably when trained on smaller datasets. Moreover, they demand higher computational and spatial complexity at inference, making them unsuitable for resource-constrained devices. To addre...

The presence of haze results in diminished image clarity, the loss of image details, color alterations, and a decline in image visibility. This paper proposes an efficient multi-stage feature fusion defogging network based on the attention mechanism for effective defogging in complex environments. To create a multi-branch defogging network, the mod...

Single image dehazing has received a lot of concern and achieved great success with the help of deep-learning models. Yet, the performance is limited by the local limitation of convolution. To address such a limitation, we design a novel deep learning dehazing model by combining the transformer and guided filter, which is called as Deep Guided Tran...

In our previous paper, a new measurement method for the coal adhesion property called “surface tension of semi-coke” was devised. The surface tension of a semi-coke sample obtained by heat treatment of a coal sample at 500°C was measured as a unique adhesion property. Conventionally, it has been thought that adhesion is dominant under a low MF (Gie...

THREE-PART COMPOSITIONS WITH DEER AND TREE OF LIFE Abstract The authors analyze the cult object of the early Iron Age, accidentally found in the village Mostovsky, Krasnodar Territory, and consisting of an iron plate with a composition of bronze figures - deer - male and female, and two spectacle-shaped double spirals, reflecting the image of the...

يعنى البحث بمفهوم التنافر في الصورة البيانية مما يتصل بموضوع الغزل، ولم يوظف المصطلح عند البلاغيين وصفا للصورة المتنافرة بين اجزائها بل اطلقوه وصفا للفظ المتقارب المخارج فهو تنافر صوتي او لعدم اتساق اجزاء النظم مما يتصل بالتركيب، أما تنافر الصورة من حيث عدم ملاءمة المشبه للمشبه به ولا المستعار للمستعار منه وغيرهما فشاعت كلمات القبح وعدم التلاؤم وما...

Small‐sample‐size problem is always a challenge for hyperspectral image (HSI) classification. Considering the co‐occurrence of land‐cover classes between similar scenes, transfer learning can be performed, and cross‐scene classification is deemed a feasible approach proposed in recent years. In cross‐scene classification, the source scene which pos...

تناول البحث الموسوم (الجمالية الصورية في رسوم محمد ذنون) أربعة فصول، عُني الفصل الأول ببيان مشكلة البحث، أهمية البحث والحاجة إليه، هدف البحث في التعرف على الجمالية الصورية في رسوم محمد ذنون، حدود البحث، وتحديد أهم المصطلحات. وجاء الفصل الثاني بالإطار النظري وتضمن ثلاثة مباحث: اهتم المبحث الأول بمفهوم الجمالية. والمبحث الثاني بجمالية الصورة في الرسم...

In this chapter, a task of providing a desired compression ratio (CR) is considered for lossy compression of color images by better portable graphics (BPG) encoder. This encoder is characterized by many benefits compared to other modern encoders according to rate-distortion performance and some other important facilities. However, the produced CR f...

We investigated the optimal heating conditions (heating rate, rapid heating temperature range, and pressure) and blending ratio that can produce high-strength coke by using formed coals containing biomass and modified-biomass. As a result, the coke strength was increased by broadening the rapid heating temperature range. Furthermore, it was found t...

We studied the pressurized carbonization conditions that can produce high-strength coke at low temperature (800°C) from formed coals containing a large amount of non-caking or slightly-caking coal. It was found that as the rapid heating temperature range (room temperature → 450–600°C) increased, the amount of adherence between coal particles increa...

Recently, the environment has indicated an increase in the price of coking coal. Thus, in order to produce high strength coke at a low production cost, the application of blending technology to various types of coal is required. Coal dilatation is an important factor in determining coke strength. It is well known that the dilation values of blended...

For p∈N*, let Σp denote the class of meromorphic p-valent functions. We consider an operator for meromorphic functions denoted by Tbn, which generalizes some previously studied operators. We introduce some new subclasses of the class Σp, associated with subordination using the above operator, and we prove that these classes are preserved regarding...

The present research studies the complexity of urban facades, which is related to the visual diversity and correlation of the components of urban facades. It studies how the complexity of urban facades affects their desirability amongst citizens and what their preferences are when it comes to facade complexity. In addition, it addresses the complex...

The method for separating the active component and the inertinite, respectively, in a lump coal was investigated, and it was confirmed that they could be separated from each other from microscopic observation. Then the methods for measuring the contraction of the active component and the inertinite were investigated. The author made a rod-shaped sa...

Vacant parking slot detection using image classification has been studied for a long time. Currently, deep neural networks are widely used in this research field, and experts have concentrated on improving their performance. As a result, most experts are not concerned about the features extracted from the images. Thus, no one knows the crucial feat...

Due to the unique characteristics of the underwater environment, the underwater images often have the problems of blurring and hazing, which affects the identification of image details. To enhance the details of the image, this paper proposes a two-stage restoration method based on the underwater optical model and generative adversarial network. Fi...

Automatic target recognition (ATR) is a significant application scenario for Synthetic aperture radar (SAR) image interpretation. Deep-learning based SAR ATR approaches relies on large amounts of labeled data. However, labeled SAR images are scarce and expensive. In this paper, a novel semi-supervised learning (SSL) framework is proposed for SAR AT...

PIT present a diagnostic challenge due to their rarity; and nonspecific symptoms and radiological findings. As a result, comprehensive histopathological and immunohistochemistry analysis remains the gold standard test to confirm the diagnosis. image

Many generalizations of the Fourier transform (FT) have been introduced in the literature, including fractional Fourier transform (FrFT) and linear canonical transform (LCT). This paper aims to extend the discrete combined Fourier transform (DCFT) to the FrFT domains and investigate its applications in image enhancement. The DCFT of a signal is a l...

In this article we consider zeroes for multifunctions with possibly noncompact image sets. We introduce the notion of multifunction with K-inf-compact support. We also establish three types of applications: the Bayesian approach for analysis of financial operational risk under certain constraints, occupational health and safety measures optimizatio...

We introduce a machine-learning-based tool for the Lean proof assistant that suggests relevant premises for theorems being proved by a user. The design principles for the tool are (1) tight integration with the proof assistant, (2) ease of use and installation, (3) a lightweight and fast approach. For this purpose, we designed a custom version of t...

A morphometric examination of Anthrenus flavipes flavipes LeConte 1854 from Central Macedonia, Greece is carried out and compared with data from previous publications. Size ranges for both sexes are generated. Males are significantly smaller than females. The body width/body length ratio is calculated. Images of body size range, antennal club and a...

The Segment Anything Model (SAM) is a versatile image segmentation model that enables zero-shot segmentation of various objects in any image using prompts, including bounding boxes, points, texts, and more. However, studies have shown that the SAM performs poorly in agricultural tasks like crop disease segmentation and pest segmentation. To address...

With the widespread application of drone technology, the demand for pest detection and identification from low-resolution and noisy images captured with drones has been steadily increasing. In this study, a lightweight pest identification model based on Transformer and super-resolution sampling techniques is introduced, aiming to enhance identifica...

The detection of small infrared targets with dense distributions and large-scale variations is an extremely challenging problem. This paper proposes a multi-stage, multi-scale local feature fusion method for infrared small target detection to address this problem. The method is based on multi-stage and multi-scale local feature fusion. Firstly, con...

In this research essay, I do not seek to dispute or refute the image constructions of Archie Mafeje. Rather my focus is to attempt to give a balanced and contextual view of the different makings of Archie Mafeje. I aim to interrogate and to locate Archie Mafeje’s intellectual and personal history into a context. The project approaches the biography...