Başlık için Mühendislik ve Doğa Bilimleri Fakültesi listeleme
Toplam kayıt 136, listelenen: 25-44
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DCW-RNN: Improving Class Level Metrics for Software Vulnerability Detection Using Artificial Immune System with Clock-Work Recurrent Neural Network
(IEEE (Institute of Electrical and Electronics Engineers), 2021)As the defenses evolve, so do the solutions to a software vulnerability. The primary reason for security incidents, e.g., cyber-attacks, originates from software vulnerabilities. It is challenging to enhance the performance ... -
Deep learning model developed by multiparametric MRI in differential diagnosis of parotid gland tumors
(Springer, 2022)Purpose: To create a new artificial intelligence approach based on deep learning (DL) from multiparametric MRI in the differential diagnosis of common parotid tumors. Methods: Parotid tumors were classified using the ... -
Deep rhythm and long short term memory-based drowsiness detection
(Elsevier, 2021)In this paper, a deep-rhythm-based approach is proposed for the efficient detection of drowsiness based on EEG recordings. In the proposed approach, EEG images are used instead of signals where the time and frequency ... -
A detailed study on the optical properties of 3-benzoyl-7-hydroxy coumarin compound in different solvents and concentrations
(Macedonian Journal of Chemistry and Chemical Engineering, 2019)A coumarin-derived compound, 3-benzoyl-7-hydroxy coumarin (BHYC), is synthesized to determine its optoelectronic properties, including absorbance band edge, optical band gap, transmittance, refractive index, electrical ... -
Determination of energy damping upon impact load in reinforced concrete sandwich plates with di erent core geometries
(Sharif University of Technology, 2021)It can be challenging to analyze Reinforced Concrete (RC) sandwich plates with hollow structures under impact loads in terms of crushing, punching, cracking, and crack trajectories via static and dynamic equations. In the ... -
Determination of the effect of different gravity methods on the removal of ash and sulfur from Arguvan lignite
(Alanya Alaaddin Keykubat Üniversitesi, 2020)This study, it is aimed to find out the beneficiation of Malatya-Arguvan lignite by gravity methods. First of all, the washability of lignite has been investigated with sink-float experiments. It has been determined ... -
Determination of thechemicalstructure of dietbiscuitswith modern enstrumentaltechniques
(2021)There are too many deficiencies in the studies in terms of diet biscuit in the literature. This study aims to fill this gap in the literature. The % moisture content, structural content verification, thermal stability, ... -
Different Plant Sporopollenin Exine Capsules and Their Multifunctional Usage
(American Chemical Society, 2022)poropollenin exine capsules (SECs) are highly resistant to heat and various acids and bases. They are also cheap, highly porous, eco-friendly polymer biomaterials with stable microencapsulation capacity. Due to their strong ... -
Düşük ısıl değerli linyit ve atık biyokütlenin dumansız yakıt olarak kullanılabilirliğinin araştırılması
(Bursa Uludağ Üniversitesi, 2021)Enerji, bir toplumun en önemli temel ihtiyaçlarından biridir. Gelişmekte olan ve az gelişmiş ülkelerdebu enerji ihtiyacının çoğu fosil enerji kaynaklarından karşılanmaktadır. Bu kaynaklar, hem sınırlı hem deçevreyi olumsuz ... -
Effect of Alkaloids on SARS-CoV-2
(Malatya Turgut Özal Üniversitesi, 2020)The use of herbs in treatment has started with the history of humanity and a significant number of effective drugs are being developed from herbal sources. Primary and secondary metabolites, which are natural products ... -
The effect of fly ash and pine tree resin on thermo-mechanical properties of concretes with expanded clay aggregates
(Elsevier, 2021)We used expanded clay (EC) and cement, fly ash (FA), and pine tree resin as binders instead of conventional aggregate to produce low-density construction material. The EC ratios were 10 %, 20 %, 30 %, 40 %, and 50 %. The ... -
Effect of macro and micro fiber volume on the flexural performance of hybrid fiber reinforced SCC
(Techno Press, 2020)The aim of this study is to investigate the flexural performance of hybrid fiber reinforced self-compacting concrete (HFRSCC) having different ratio of micro and macro steel fiber. A total of five mixtures are prepared. ... -
An effective Turkey marble classification system: Convolutional neural network with genetic algorithm -wavelet kernel - Extreme learning machine
(IIETA International Information and Engineering Technology Association, 2021)Marble is one of the most popular decorative elements. Marble quality varies depending on its vein patterns and color, which are the two most important factors affecting marble quality and class. The manual classification ... -
Effects of new NHC derivatives as ligands in the Suzuki–Miyaura reaction
(Taylor & Francis, 2021)A series of NHC-derivative ligands was synthesized from bisbenzimidazole salts as the precursor of N-heterocyclic carbene with chalcogens, carbon disulfide, and phenyl isothiocyanate reagents. These new ligands were used ... -
Effects of Salicylic Acid on Fatty Acid Gene Expression in Carthamus tinctorious L. cv. Dinçer under Pendimethalin Stress
(Munzur Üniversitesi, 2020)Pendimethalin is a member of the dinitroaniline class herbicide. It used to control most annual grasses and many annual broad-leaved weeds. Salicylic acid acts as an endogenous signal molecule in charge of inducing ... -
The Effects of SARS CoV-2 nsp13 Mutations on the Structure and Stability of Helicase in Chinese Isolates
(İstanbul Üniversitesi / İstanbul University, 2022)Objective: Coronavirus Disease 2019 (COVID19) is a viral disease caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS CoV-2). The high mutation propensity of the SARS CoV-2 genome is one of the biggest threats ... -
An efficient fault classification method in solar photovoltaic modules using transfer learning and multi-scale convolutional neural network
(Elsevier, 2022)Photovoltaic (PV) power generation is one of the remarkable energy types to provide clean and sustainable energy. Therefore, rapid fault detection and classification of PV modules can help to increase the reliability of ... -
Electrocardiogram beat classification using deep convolutional neural network techniques
(Institute of Physics Publishing, 2020)The electrocardiogram (ECG) is a useful method which enables the monitoring of various cardiac conditions, such as arrhythmia and heart rate variability (HRV). ECG beats help to determine various heart failures such as ... -
EMG Sinyalleri Kullanılarak GoogLeNet ve Çok Seviyeli DPD ile El Tutma Hareketlerinin Sınıflandırılması
(Fırat University, 2022)Elektromiyografi (EMG) elektriksel aktiviteyi ölçmek için kullanılan bir yöntemdir. Bu yöntem günümüzde hastalık tespitinde kullanılmasıyla yaygınlaşmış olsa da robotik, protez kontrolü, video oyunları gibi popüler alanlarda ... -
Endoplasmic reticulum aminopeptidase-1 polymorphism increases the risk of rheumatoid arthritis
(2022)Objectives: Endoplasmic reticulum aminopeptidase-1 (ERAP1) polymorphic changes cause autoimmunity. To understand the contribution of ERAP1 to the occurrence of rheumatoid arthritis (RA) disease, we investigated ...
