Ara
Toplam kayıt 363, listelenen: 1-10
Noise robust voice activity detection based on multi-layer feed-forward neural network
(Istanbul University, 2019)
This paper proposes a voice activity detection (VAD) method based on time and spectral domain features using multi-layer feed-forward neural network (MLF-NN) for various noisy conditions. In the proposed method, time ...
A Novel Voice Activity Detection for Multi-Channel Noise Reduction
(Ieee-Inst Electrical Electronics Engineers Inc, 2021)
In this study, a voice activity detection technique is designed using features such as short-term energy, periodicity and spectral flatness. The desired results are obtained by using these three features, even at low signal ...
Speech enhancement using adaptive thresholding based on gamma distribution of Teager energy operated intrinsic mode functions
(Turkiye Klinikleri, 2019)
This paper introduces a new speech enhancement algorithm based on the adaptive threshold of intrinsic mode functions (IMFs) of noisy signal frames extracted by empirical mode decomposition. Adaptive threshold values are ...
Recent Marine Ostracods (Crustacea) around Hovgaard and Horseshoe Islands (Antarctica Peninsula)
(Tmmob Jeoloji Muhendisleri Odasi, 2022)
On the route of the II Turkish Antarctic Expedition (TAE-II) in the NW of the continent of Antarctica, twelve grab sediment samples were been collected from seven different locations at depths of -20 and -60 m between King ...
Kinetic modelling and determination of octylphenol ethoxylate (OPE) and bisphenol A (BPA) (used as plastic additives) inhibition constants for nitrogen conversion
(Global Network Environmental Science & Technology, 2021)
Conversion of ammonia to nitrate is sensitive to a number of inhibitors. There is limited information on the nitrification inhibition coefficient and kinetic model in the current literature. Octyl Phenol Ethoxylate (OPE) ...
A Novel Web Scraping Approach Using the Additional Information Obtained from Web Pages
(Institute of Electrical and Electronics Engineers Inc., 2020)
Web scraping is a process of extracting valuable and interesting text information from web pages. Most of the current studies targeting this task are mostly about automated web data extraction. In the extraction process, ...
Automatically Discovering Relevant Images From Web Pages
(Ieee-Inst Electrical Electronics Engineers Inc, 2020)
Web pages contain irrelevant images along with relevant images. The classification of these images is an error-prone process due to the number of design variations of web pages. Using multiple web pages provides additional ...
Adaptive modified artificial bee colony algorithms (AMABC) for optimization of complex systems
(Turkiye Klinikleri, 2020)
Complex systems are large scale and involve numerous uncertainties, which means that such systems tend to be expensive to operate. Further, it is difficult to analyze systems of this kind in a real environment, and for ...
A regular expression generator based on CSS selectors for efficient extraction from HTML pages
(Turkiye Klinikleri, 2020)
Cascading style sheets (CSS) selectors are patterns used to select HTML elements. They are often preferred in web data extraction because they are easy to prepare and have short expressions. In order to be able to extract ...
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
(Elsevier Ltd, 2021)
The COVID-19 outbreak has been causing a global health crisis since December 2019. Due to this virus declared by the World Health Organization as a pandemic, the health authorities of the countries are constantly trying ...