Browsing by Author "Alqaraleh, Saed"
Now showing items 1-16 of 16
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BERT Based Topic-Specific Crawler
Tawil, Yahya; Alqaraleh, Saed (Institute of Electrical and Electronics Engineers Inc., 2021)Nowadays, retrieving certain information using search engines is very popular and one of the main applications of the Internet. To speed up the process of getting the required information(web pages), having a topic-specific ... -
CNN vs. LSTM for Turkish text classification
Yayla, Melih; Diyar Demirkol, Mustafa; Alqaraleh, Saed (Institute of Electrical and Electronics Engineers Inc., 2021)In this paper, the efficiency of two states of the art text classification techniques, i.e., Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) for supporting the Turkish text classification has been ... -
COLCONF: Collaborative ConvNet Features-based Robust Visual Place Recognition for Varying Environments
Hafez, A. H. Abdul; Tello, Ammar; Alqaraleh, Saed (SPRINGER HEIDELBERG, OCT 2021)Several deep learning features were recently proposed for visual place recognition (VPR) purpose. Some of them use the information laid in the image sequences, while others utilize the regions of interest (ROIs) that reside ... -
A Comparison Study on Image Content Based Retrieval Systems
Alqaraleh, Saed; Hama, Hersh (MATEMATİKÇİLER DERNEĞİ, 2018)In recent years, multimedia searching has become an important research field. Multimedia filesare one of the most important materials on the internet. Unfortunately, even for the state-of-the-art methods andapplications ... -
A comparıson study on ımage content based retrıeval systems
Hama, Hersh (Hasan Kalyoncu Üniversitesi Fen Bilimleri Enstitüsü Elektronik ve Haberleşme Mühendisliği Ana Bilim Dalı, 2017)In recent years, multimedia searching has become an important research field. Multimedia files are one of the most important materials on the internet. Unfortunately, even for the state-of-the-art methods and applications ... -
Dynamic Time Warping of Deep Features for Place Recognition in Visually Varying Conditions
Alqaraleh, Saed; Hafez, Abdul; Tello, Ammar (Springer Science and Business Media Deutschland GmbH, 2021)This paper presents a new visual place recognition (VPR) method based on dynamic time warping (DTW) and deep convolutional neural network. The proposal considers visual place recognition in environments that exhibit changes ... -
Efficient image annotation and caption system using deep convolutional neural networks
Sakkar, Juman (Hasan Kalyoncu Üniversitesi, 2022)son yıllarda, yapay zeka alanındaki gelişmelerle birlikte, görüntü açıklaması (IAC) olarak da bilinen görüntü açıklama, araştırmacıların ilgisini giderek daha fazla çekmiştir. IAC, görüntü içeriğine göre otomatik olarak ... -
Efficient Implicit Content-based Image Re-ranking Approach
Alqaraleh, Saed; Ramadan, Omar Salameh (World Scientific Publishing Co. Pte Ltd, 1 March 20)This paper presents a new image re-ranking approach that can implicitly improve the retrieved images based on the file's contents and some user-specific actions. In more detail, multiple descriptors are used to describe ... -
Efficient Turkish Text Classification Approach for Crisis Management Systems
Alqaraleh, Saed (GAZI UNIV, 2021)In this paper, an effective tweet classification system that fully supports the Turkish language has been developed. The proposed system can be used for mining (classifying) the recently published and publicly available ... -
Efficient Turkish tweet classification system for crisis response
Alqaraleh, Saed; Isik, Merve (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2020)This paper presents a convolutional neural networks Turkish tweet classification system for crisis response. This system has the ability to classify the present information before or during any crisis. In addition, a ... -
Encoded Deep Features for Visual Place Recognition
Hafez, Abdul; Alqaraleh, Saed; Tello, Ammar (Institute of Electrical and Electronics Engineers Inc., 5 October )In this work, a new VPR approach that uses the features extracted from a Convolutional Neural Network (CNN) architecture that will be encoded by the Fisher Vector (FV) is introduced. As the main aim of this work is to ... -
Improved re-ranking approach for multimedia search engines
Alqaraleh, Saed; Ramadan, Omar Salameh (Institute of Electrical and Electronics Engineers Inc., 2018-04-01)In this paper, a new re-ranking approach based on the multimedia contents and some user specific actions is presented for improving the performance of multimedia search engines. The proposed approach has the ability of ... -
Multimodal classifier for disaster response
Alqaraleh, Saed; Sirin, Hatice (Springer Science and Business Media Deutschland GmbH, 2024)Data obtained from social media has a massive effect on making correct decisions in time-critical situations and natural disasters. Social media content generally consists of messages, images, and videos. In situations of ... -
Novel Turkish Sentiment Analysis System using ConvNet
Alqaraleh, Saed (ZARKA PRIVATE UNIV, JUL 2021)In this paper, an efficient model for the Turkish language sentiment analysis has been introduced. As Turkish is an agglutinative language, which requires spatial processing, an efficient pre-processing model was also ... -
Performance Comparison of Turkish Web Pages Classification
Alqaraleh, Saed; Nergiz Sirin, Hatice Meltem; Ozkan, Furkan (Institute of Electrical and Electronics Engineers Inc., 2021)Nowadays., web page classification is essential for efficient and fast search engines. There is an ever-increasing need for automatic classification techniques with higher classification accuracy. In this article., a ... -
Social media text classification for crisis management
Işık, Merve (Hasan Kalyoncu Üniversitesi Fen Bilimleri Enstitüsü Elektronik-Bilgisayar Ana Bilim Dalı, 2019)In recent years, impressive attention has been given for mining the publically available huge amount of data to gain situational awareness, which may help in preventing or decrease the effect of some disaster by taking the ...