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Toplam kayıt 539, listelenen: 21-40
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Are Preformed Cooper Pairs The Cause For The Pseudogap in Superconductors?
(2014)A weak-coupling scenario wherein bosonic preformed electron pairs emerge upon cooling from two-electron correlations can explain the pseudogap phase consisting of segments where a Bogoliubov-like energy-momentum relation ... -
Astrophysical flows near f (T) gravity black holes
(2016)In this paper, we study the accretion process for fluids flowing near a black hole in the context of f (T) teleparallel gravity. Specifically, by performing a dynamical analysis by a Hamiltonian system, we are able to find ... -
Audio Based Violent Scene Classification Using Ensemble Learning
(2018)In this paper, we deal with the problem of violent scene detection. Although visual signal has been widely used in detection of violent scenes from video data, audio modality; on the other hand, has not been explored as ... -
Audio Captioning Based on Combined Audio and Semantic Embeddings
(2020)Audio captioning is a recently proposed task for automatically generating a textual description of a given audio clip. Most existing approaches use the encoder-decoder model without using semantic information. In this ... -
Audio Captioning with Composition of Acoustic and Semantic Information
(2021)Generating audio captions is a new research area that combines audio and natural language processing to create meaningful textual descriptions for audio clips. To address this problem, previous studies mostly use the ... -
Audio-based Event Detection in Office Live Environments Using Optimized MFCC-SVM Approach
(2015)Audio data contains several sounds and is an important source for multimedia applications. One of them is unstructured Environmental Sounds (also referred to as audio events) that have noise-like characteristics with flat ... -
Automated Extraction of Photorealistic Facade Textures from Single Ground-Level Building Images
(2014)An integrated approach is presented for the automatic extraction of photorealistic facade textures from single street-level building images. The initial facade texture is extracted using Watershed segmentation. The seed ... -
Automated Fracture Detection in the Ulna and Radius Using Deep Learning on Upper Extremity Radiographs
(2023)Objectives: This study aimed to detect single or multiple fractures in the ulna or radius using deep learning techniques fed on upper-extremity radiographs. Materials and methods: The data set used in the retrospective ... -
Automated Temporal Lobe Epilepsy And Psychogenic Nonepileptic Seizure Patient Discrimination From Multichannel EEG Recordings Using DWT Based Analysis
(2022)Psychogenic nonepileptic seizure (PNES) and epileptic seizure resemble each other, behaviorally. This similarity causes misdiagnosis of PNES and epilepsy patients, thus patients suffering from PNES may be treated with ... -
Automated Tuberculosis Detection Using Pre-Trained CNN and SVM
(2021)Tuberculosis (TB) is a dreadfully contagious and life-threatening disease if left untreated. Therefore, early and accurate diagnosis is critical for treatment. Today, invasive, expensive, or time-consuming tests are performed ... -
Automatic Brain Tumor Detection and Volume Estimation in Multimodal MRI Scans via a Symmetry Analysis
(2023)In this study, an automated medical decision support system is presented to assist physicians with accurate and immediate brain tumor detection, segmentation, and volume estimation from MRI which is very important in the ... -
Automatic Detection of Aerial Vehicle in Cloudy Environment by Using Wavelet Enhancement Technique
(2017)Automatic target detection of surface to air surveillance and tracking systems in video applications is an important issue, because it is the first step for track initiation and continuity. Target detection can be readily ... -
Automatic Near-Photorealistic 3-D Modelling and Texture Mapping for Rectilinear Buildings
(2017)Three-dimensional (3-D) representations of urban regions have gained much attention because of recent developments in remote sensing and computer graphics technologies. In particular, textured 3-D building reconstruction ... -
Axion-plasmon or magnetized plasma effect on an observable shadow and gravitational lensing of a Schwarzschild black hole
(2021)In this paper, we study the influence of the axion-plasmon, as proposed in [Phys. Rev. Lett. 120, 181803 (2018)] on the optical properties of the Schwarzschild black hole. Our aim is to provide a test to detect the effects ... -
Bacterial hyaluronic acid production through an alternative extraction method and its characterization
(2019)BACKGROUND In this study, hyaluronic acid (HA) was produced using Streptococcus equi ssp. equi via an optimized Central Composite Design process, with purification by an alternative extraction method. Determinations of ... -
Ballistic performance of unidirectionally oriented carbon fiber reinforced composite armor with high-velocity impact
(2020)For the last few decades, composite materials have been more popular than other conventional metal materials in the aircraft industry. Having better mechanical properties (strength, fatigue life, impact strength, corrosion ... -
Beam Steering of Vortex Waves by A Phased Array Based on The Field Equivalence Principle
(2022)A further ability can be added to an existing phased array (PA) to include generation and steering of noncollimated or collimated electromagnetic (EM) vortex waves (VW). The concept is based on the EM field equivalence ... -
A benzimidazole-based turn-off fluorescent sensor for selective detection of mercury (II)
(2020)In this study, potential fluorescent sensing ability of a donor-acceptor-donor type conjugated molecule over various metal ions (Ni(II), Zn(II), Cu(II), Cd(II), Pb(II), Fe(II), Fe(III), As(III), Se(IV), Hg(I) and Hg(II)) ... -
Brain tumor prediction on MR images with semantic segmentation by using deep learning network and 3D imaging of tumor region
(2021)When it comes to medical image segmentation on brain MR images, using deep learning techniques has a significant impact to predict tumor existence. Manual segmentation of a brain tumor is a time-consuming task and depends ... -
Buffer Allocation and Performance Modeling in Asynchronous Assembly System Operations: An Artificial Neural Network Metamodeling Approach
(2007)This article investigates metamodeling opportunities in buffer allocation and performance modeling in asynchronous assembly systems ( AAS). Practical challenges to properly design these complex systems are emphasized. A ...