Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- TÜBİTAK (620)
- China Simulation Federation (281)
- China Coal Technology and Engineering Group (CCTEG) (252)
- National Taiwan Ocean University (125)
- Chinese Chemical Society | Xiamen University (91)
-
- Denison University (90)
- Claremont Colleges (85)
- Chinese Academy of Sciences (77)
- University of Tennessee, Knoxville (71)
- Prairie View A&M University (62)
- Universitas Indonesia (57)
- Karbala International Journal of Modern Science (54)
- University of South Florida (37)
- Bulletin of the Mineral Research and Exploration (31)
- Central Mining Institute (31)
- International Journal of Emerging Multidisciplinaries: Mathematics (30)
- Louisiana State University (23)
- Georgia Southern University (22)
- University of Al-Qadisiyah (21)
- National University of Uzbekistan (19)
- Southern Methodist University (19)
- Rochester Institute of Technology (18)
- Embry-Riddle Aeronautical University (17)
- University of the Pacific (17)
- Kennesaw State University (16)
- Universitas Negeri Yogyakarta (15)
- Macalester College (14)
- Ministry of Higher and Secondary Specialized Education of the Republic of Uzbekistan (14)
- Rose-Hulman Institute of Technology (13)
- Beirut Arab University (12)
- Keyword
-
- Colinus virginianus (35)
- Northern bobwhite (31)
- COVID-19 (27)
- Deep learning (20)
- Applied Mathematics and Computations (19)
-
- Machine learning (18)
- Climate change (15)
- Mathematics (14)
- Artificial intelligence (13)
- Numerical simulation (13)
- Survival (13)
- Adsorption (12)
- Blockchain (12)
- Texas (12)
- Cybersecurity (11)
- Simulation (11)
- Coalbed methane (10)
- Education (10)
- Euler (10)
- Stability (10)
- Classification (9)
- Ethics (9)
- Translocation (9)
- Virtual reality (9)
- Cyrtonyx montezumae (8)
- Modeling (8)
- Montezuma quail (8)
- Poetry (8)
- Antioxidant activity (7)
- Convolutional neural network (7)
- Publication
-
- Journal of System Simulation (281)
- Coal Geology & Exploration (252)
- Turkish Journal of Mathematics (228)
- Turkish Journal of Chemistry (172)
- Turkish Journal of Electrical Engineering and Computer Sciences (166)
-
- Journal of Marine Science and Technology (125)
- Journal of Electrochemistry (91)
- The Synapse: Intercollegiate science magazine (90)
- Journal of Humanistic Mathematics (79)
- Bulletin of Chinese Academy of Sciences (Chinese Version) (77)
- National Quail Symposium Proceedings (67)
- Applications and Applied Mathematics: An International Journal (AAM) (62)
- Karbala International Journal of Modern Science (54)
- Turkish Journal of Earth Sciences (37)
- Bulletin of the Mineral Research and Exploration (31)
- Journal of Sustainable Mining (31)
- Kesmas (31)
- International Journal of Emerging Multidisciplinaries: Mathematics (30)
- Journal of Stochastic Analysis (23)
- Al-Qadisiyah Journal of Pure Science (21)
- Theory and Applications of Graphs (21)
- Makara Journal of Science (20)
- Bulletin of National University of Uzbekistan: Mathematics and Natural Sciences (19)
- SMU Data Science Review (19)
- Euleriana (17)
- Frameless (17)
- Turkish Journal of Physics (17)
- Journal of Cybersecurity Education, Research and Practice (14)
- Macalester Journal of Physics and Astronomy (14)
- Rose-Hulman Undergraduate Mathematics Journal (13)
- File Type
Articles 2521 - 2534 of 2534
Full-Text Articles in Entire DC Network
Organisms That Develop With You: Microorganisms In The Body, Fay Levin
Organisms That Develop With You: Microorganisms In The Body, Fay Levin
The Synapse: Intercollegiate science magazine
No abstract provided.
Secrets Behind The Science Of Symmetry: Evolution And Symmetry, Yeongseo Ko
Secrets Behind The Science Of Symmetry: Evolution And Symmetry, Yeongseo Ko
The Synapse: Intercollegiate science magazine
No abstract provided.
The Secret Life Of Staghorn Ferns: Social Organization And Labor Division In A Eusocial Plant, Isabelle Small
The Secret Life Of Staghorn Ferns: Social Organization And Labor Division In A Eusocial Plant, Isabelle Small
The Synapse: Intercollegiate science magazine
No abstract provided.
Motion-Aware Vehicle Detection In Driving Videos, Mehmet Kiliçarslan, Tansu Temel
Motion-Aware Vehicle Detection In Driving Videos, Mehmet Kiliçarslan, Tansu Temel
Turkish Journal of Electrical Engineering and Computer Sciences
This paper focuses on vehicle detection based on motion features in driving videos. Long-term motion information can assist in driving scenarios since driving is a complicated and dynamic process. The proposed method is a deep learning based model which processes motion frame image. This image merges both spatial (frame) and temporal (motion) information. Hence, the model jointly detects vehicles and their motion from a single image. The trained model on Toyota Motor Europe Motorway Dataset reaches 83% mean average precision (mAP). Our experiments demonstrate that the proposed method has a higher mAP than a tracking-based model. The proposed method runs …
Fft Enabled Ecc For Wsn Nodes Without Hardware Multiplier Support, Utku Gülen, Selçuk Baktir
Fft Enabled Ecc For Wsn Nodes Without Hardware Multiplier Support, Utku Gülen, Selçuk Baktir
Turkish Journal of Electrical Engineering and Computer Sciences
ECC is a popular cryptographic algorithm for key distribution in wireless sensor networks where power efficiency is desirable. A power efficient implementation of ECC without using hardware multiplier support was proposed earlier for wireless sensor nodes. The proposed implementation utilized the number theoretic transform to carry operands to the frequency domain, and conducted Montgomery multiplication, in addition to other finite field operations, in that domain. With this work, we perform in the frequency domain only polynomial multiplication and use the fast Fourier transform to carry operands between the time and frequency domains. Our ECC implementation over $GF((2^{13}-1)^{13})$ on the MSP430 …
Improving Collaborative Recommendation Based On Item Weight Link Prediction, Sahraoui Kharroubi, Youcef Dahmani, Omar Nouali
Improving Collaborative Recommendation Based On Item Weight Link Prediction, Sahraoui Kharroubi, Youcef Dahmani, Omar Nouali
Turkish Journal of Electrical Engineering and Computer Sciences
There is a continuous information overload on the Web. The problem treated is how to have relevant items (documents, products, services, etc.) at time and without difficulty. Filtering system also called recommender systems are widely used to recommend items to users by similarity process such as Amazon, MovieLens, Cdnow, etc. In the literature, to predict a link in a bipartite network, most methods are based either on a binary history (like, dislike) or on the common neighbourhood of the active user. In this paper, we modelled the recommender system by a weighted bipartite network. The bipartite topology offers a bidirectional …
Using Vertical Areas In Finite Set Model Predictive Control Of A Three-Level Inverter Aimed At Computation Reduction, Alireza Jaafari, Alireza Davari, Cristian Garcia, Jose Rodriguez
Using Vertical Areas In Finite Set Model Predictive Control Of A Three-Level Inverter Aimed At Computation Reduction, Alireza Jaafari, Alireza Davari, Cristian Garcia, Jose Rodriguez
Turkish Journal of Electrical Engineering and Computer Sciences
In power electronics applications, finite set model predictive control (FS-MPC) has proven to be a viable strategy. However, due to the high processing power required, using this technology in multilevel converters is difficult. This strategy, which is based on predicting the behavior of the system for all conceivable states, has an issue with a numerous of possible switching states. A recent and useful strategy for dealing with the problem is the limiting of calculations based on triangle regions. Despite its success, this method has several limitations, including the computation required to locate the right triangle and the boundary modes. In …
A Futuristic Approach To Generate Random Bit Sequence Using Dynamic Perturbedchaotic System, Sathya Krishnamoorthi, Premalatha Jayapaul, Vani Rajasekar, Rajesh Kumar Dhanaraj, Celestine Iwendi
A Futuristic Approach To Generate Random Bit Sequence Using Dynamic Perturbedchaotic System, Sathya Krishnamoorthi, Premalatha Jayapaul, Vani Rajasekar, Rajesh Kumar Dhanaraj, Celestine Iwendi
Turkish Journal of Electrical Engineering and Computer Sciences
Most of the web applications require security which in turn requires random numbers. Pseudo-random numbers are required with good statistical properties and efficiency. Use of chaotic map to dynamically perturb another chaotic map that generates the random bit output is introduced in this work. Perturbance is introduced to improvise the chaotic behaviour of a base map and increase the periodicity. PRNG with this architecture is devised to generate random bit sequence from initial keyspace. The statistical properties of newly constructed PRNG are tested with NIST SP 800-22 statistical test suite and were shown to have good randomness. To ensure its …
Application Of Long Short-Term Memory (Lstm) Neural Network Based On Deeplearning For Electricity Energy Consumption Forecasting, Mehmet Bi̇lgi̇li̇, Ni̇yazi̇ Arslan, Ali̇i̇hsan Şekerteki̇n, Abdulkadi̇r Yaşar
Application Of Long Short-Term Memory (Lstm) Neural Network Based On Deeplearning For Electricity Energy Consumption Forecasting, Mehmet Bi̇lgi̇li̇, Ni̇yazi̇ Arslan, Ali̇i̇hsan Şekerteki̇n, Abdulkadi̇r Yaşar
Turkish Journal of Electrical Engineering and Computer Sciences
Electricity is the most substantial energy form that significantly affects the development of modern life, work efficiency, quality of life, production, and competitiveness of the society in the ever-growing global world. In this respect, forecasting accurate electricity energy consumption (EEC) is fairly essential for any country?s energy consumption planning and management regarding its growth. In this study, four time-series methods; long short-term memory (LSTM) neural network, adaptive neuro-fuzzy inference system (ANFIS) with subtractive clustering (SC), ANFIS with fuzzy cmeans (FCM), and ANFIS with grid partition (GP) were implemented for the short-term one-day ahead EEC prediction. Root mean square error (RMSE), …
Evaluating The English-Turkish Parallel Treebank For Machine Translation, Onur Görgün, Olcay Taner Yildiz
Evaluating The English-Turkish Parallel Treebank For Machine Translation, Onur Görgün, Olcay Taner Yildiz
Turkish Journal of Electrical Engineering and Computer Sciences
This study extends our initial efforts in building an English-Turkish parallel treebank corpus for statistical machine translation tasks. We manually generated parallel trees for about 17K sentences selected from the Penn Treebank corpus. English sentences vary in length: 15 to 50 tokens including punctuation. We constrained the translation of trees by (i) reordering of leaf nodes based on suffixation rules in Turkish, and (ii) gloss replacement. We aim to mimic human annotator?s behavior in real translation task. In order to fill the morphological and syntactic gap between languages, we do morphological annotation and disambiguation. We also apply our heuristics by …
A Simple Dual-Band Quasi-Yagi Antenna With Defected Ground Structures, Göksel Turan, Hayretti̇n Odabaşi
A Simple Dual-Band Quasi-Yagi Antenna With Defected Ground Structures, Göksel Turan, Hayretti̇n Odabaşi
Turkish Journal of Electrical Engineering and Computer Sciences
In this article, a dual-band compact quasi-Yagi antenna with defected ground structure (DGS) is proposed. The proposed antenna has a simple feeding mechanism consists of a microstrip and transmission line. Half of the driver and director elements are printed on the opposite side of the substrate to ensure good coupling between the antenna elements and achieve a stable radiation pattern. The ground plane is modified with one rectangular slot below the microstrip line to form dual-band operation. Also rectangular slots placed on the sides of the ground plane to improve the matching. The proposed antenna works at $f_{1}=3.35$ and $f_{2}=6.15$ …
Shape Investigations Of Structures Formed By The Self-Assembly Of Aromaticamino Acids Using The Density-Based Spatial Clustering Of Applications With Noise Algorithm, Mehmet Gökhan Habi̇boğlu, Helen W. Hernandez, Şahi̇n Uyaver
Shape Investigations Of Structures Formed By The Self-Assembly Of Aromaticamino Acids Using The Density-Based Spatial Clustering Of Applications With Noise Algorithm, Mehmet Gökhan Habi̇boğlu, Helen W. Hernandez, Şahi̇n Uyaver
Turkish Journal of Electrical Engineering and Computer Sciences
Tyrosine, tryptophan, and phenylalanine are important aromatic amino acids for human health. If they are not properly metabolized, severe rare mental or metabolic diseases can emerge, many of which are not researched enough due to economic priorities. In our previous simulations, all three of these amino acids are discovered to be self-organizing and to have complex aggregations at different temperatures. Two of these essential stable formations are observed during our simulations: tubular-like and spherical-like structures. In this study, we develop and implement a clustering analyzing algorithm using density-based spatial clustering of applications with noise (DBSCAN) to measure the shapes of …
Automatically Classifying Familiar Web Users From Eye-Tracking Data:A Machine Learning Approach, Meli̇h Öder, Şükrü Eraslan, Yeli̇z Yesi̇lada
Automatically Classifying Familiar Web Users From Eye-Tracking Data:A Machine Learning Approach, Meli̇h Öder, Şükrü Eraslan, Yeli̇z Yesi̇lada
Turkish Journal of Electrical Engineering and Computer Sciences
Eye-tracking studies typically collect enormous amount of data encoding rich information about user behaviours and characteristics on the web. Eye-tracking data has been proved to be useful for usability and accessibility testing and for developing adaptive systems. The main objective of our work is to mine eye-tracking data with machine learning algorithms to automatically detect users' characteristics. In this paper, we focus on exploring different machine learning algorithms to automatically classify whether users are familiar or not with a web page. We present our work with an eye-tracking data of 81 participants on six web pages. Our results show that …
Stability Regions In Time Delayed Two-Area Lfc System Enhanced By Evs, Ausnain Naveed, Şahi̇n Sönmez, Saffet Ayasun
Stability Regions In Time Delayed Two-Area Lfc System Enhanced By Evs, Ausnain Naveed, Şahi̇n Sönmez, Saffet Ayasun
Turkish Journal of Electrical Engineering and Computer Sciences
With the extensive usage of open communication networks, time delays have become a great concern in load frequency control (LFC) systems since such inevitable large delays weaken the controller performance and even may lead to instabilities. Electric vehicles (EVs) have a potential tool in the frequency regulation. The integration of a large number of EVs via an aggregator amplifies the adverse effects of time delays on the stability and controller design of LFC systems. This paper investigates the impacts of the EVs aggregator with communication time delay on the stability. Primarily, a graphical method characterizing stability boundary locus is implemented. …