Yazar "Alhajj, Reda" için Makale Koleksiyonu listeleme
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Achieving sustainable development resilience: Poverty reduction through affordable access to electricity in developing economies
Asghar, Nabila; Amjad, Muhammad Asif; Rehman, Hafeez ur; Munir, Mubbasher; Alhajj, Reda (Elsevier Ltd, 2022)Energy is indispensable to bringing off the growing human demand, and it is a challenging global issue to achieve sustainable development goals by using clean energy. The present study evaluates whether access to electricity ... -
Analysis and prediction in sparse and high dimensional text data: The case of Dow Jones stock market
Sert, Onur Can; Şahin, Salih Doruk; Özyer, Tansel; Alhajj, Reda (Elsevier B.V., 2020)In this research, we proposed a text analysis system to predict stock market movements using news and social media data. It is a scalable prediction system for sparse and high dimensional feature sets. Using the developed ... -
Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
Sailunaz, Kashfia; Beştepe, Deniz; Alhajj, Sleiman; Özyer, Tansel; Rokne, Jon; Alhajj, Reda (Public Library of Science, 2023)Brain cancers caused by malignant brain tumors are one of the most fatal cancer types with a low survival rate mostly due to the difficulties in early detection. Medical professionals therefore use various invasive and ... -
BreCaHAD: A dataset for breast cancer histopathological annotation and diagnosis
Aksaç, Alper; Demetrick, Douglas J.; Özyer, Tansel; Alhajj, Reda (BioMed Central Ltd., 2019)Objectives: Histopathological tissue analysis by a pathologist determines the diagnosis and prognosis of most tumors, such as breast cancer. To estimate the aggressiveness of cancer, a pathologist evaluates the microscopic ... -
CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology
Aksaç, Alper; Özyer, Tansel; Demetrick, Douglas J.; Alhajj, Reda (NLM (Medline), 2020)OBJECTIVE: Develop CACTUS (cancer image annotating, calibrating, testing, understanding and sharing) as a novel web application for image archiving, annotation, grading, distribution, networking and evaluation. This helps ... -
Causes of higher ecological footprint in Pakistan: Does energy consumption contribute? Evidence from the non-linear ARDL model
Asghar, Nabila; Amjad, Muhammad Asif; Rehman, Hafeez ur; Munir, Mubbasher; Alhajj, Reda (MDPI, 2023)The impact of human activities on environmental degradation has been increasing over time, and ecological footprint measures the impact of human activities on the environment. An increase in ecological footprint has created ... -
A comparative study of different pre-trained deeplearning models and custom CNN for pancreatic tumor detection
Zavalsız, Muhammed Talha; Alhajj, Sleiman; Sailunaz, Kashfia; Özyer, Tansel; Alhajj, Reda (Zarka Private University, 2023)Artificial Intelligence and its sub-branches like MachineLearning (ML) and Deep Learning (DL) applications have the potential to have positive effects that can directly affect human life. Medical imaging is briefly making ... -
CutESC: Cutting edge spatial clustering technique based on proximity graphs
Aksaç, Alper; Özyer, Tansel; Alhajj, Reda (Elsevier, 2019)In this paper, we propose a cut-edge algorithm for spatial clustering (CutESC) based on proximity graphs. The CutESC algorithm removes edges when a cut-edge value for the edge's endpoints is below a threshold. The cut-edge ... -
Data on cut-edge for spatial clustering based on proximity graphs
Aksaç, Alper; Özyer, Tansel; Alhajj, Reda (Elsevier, 2020)Cluster analysis plays a significant role regarding automating such a knowledge discovery process in spatial data mining. A good clustering algorithm supports two essential conditions, namely high intra-cluster similarity ... -
Detecting and understanding sentiment trends and emotion patterns of twitter users-a study on the demise of a bollywood celebrity
Marouf, Ahmed Al; Rokne, Jon G. G.; Alhajj, Reda (MDPI, 2022)Detecting societal sentiment trends and emotion patterns is of great interest. Due to the time-varying nature of these patterns and trends this detection can be a challenging task. In this paper, the emotion patterns and ... -
Early warning system: from face recognition by surveillance cameras to social media analysis to detecting suspicious people
Afra, Salim; Alhajj, Reda (Elsevier B.V., 2020)Surveillance security cameras are increasingly deployed in almost every location for monitoring purposes, including watching people and their actions for security purposes. For criminology, images collected from these ... -
Effective induction of gene regulatory networks using a novel recommendation method
Özsoy, Makbule Gülçin; Polat, Faruk; Alhajj, Reda (Inderscience Enterprises Ltd., 2019)In this paper, we introduce a method based on recommendation systems to predict the structure of Gene Regulatory Networks (GRNs) making use of data from multiple sources. Our method is based on collaborative filtering ... -
An efficient approach to predict eye diseases from symptoms using machine learning and ranker-based feature selection methods
Marouf, Ahmed Al; Mottalib, Md Mozaharul; Alhajj, Reda; Rokne, Jon; Jafarullah, Omar (MDPI, 2023)The eye is generally considered to be the most important sensory organ of humans. Diseases and other degenerative conditions of the eye are therefore of great concern as they affect the function of this vital organ. With ... -
Emotion and sentiment analysis from Twitter text
Sailunaz, Kashfia; Alhajj, Reda (Elsevier, 2019)Online social networks have emerged as new platform that provide an arena for people to share their views and perspectives on different issues and subjects with their friends, family, relatives, etc. We can share our ... -
Entropy-based financial asset pricing: Evidence from Pakistan
Wang, Sheng; Khan, Sher Ali; Munir, Mubbasher; Alhajj, Reda; Khan, Yousaf Ali (Public Library of Science, 2022)Entropy is an alternative measure to calculate the risk, simplify the portfolios and equity risk premium. It has higher explanatory power than capital asset price model (CAPM) beta. The comparison of Entropy and CAPM beta ... -
Explainable artificial intelligence through graph theory by generalized social network analysis-based classifier
Üçer, Serkan; Özyer, Tansel; Alhajj, Reda (Nature Portfolio, 2022)We propose a new type of supervised visual machine learning classifier, GSNAc, based on graph theory and social network analysis techniques. In a previous study, we employed social network analysis techniques and introduced ... -
Fuzzy classification methods based diagnosis of Parkinson’s disease from speech test cases
Dastjerd, Niousha Karimi; Sert, Onur Can; Özyer, Tansel; Alhajj, Reda (Bentham Science Publishers, 2019)Background: Together with the Alzheimer’s disease, Parkinson’s disease is considered as one of the two serious known neurodegenerative diseases. Physicians find it hard to predict whether a given patient has already developed ... -
Genomic biomarker discovery in disease progression and therapy response in bladder cancer utilizing machine learning
Liosis, Konstantinos Christos; Marouf, Ahmed Al; Rokne, Jon G.; Ghosh, Sunita; Bismar, Tarek A.; Alhajj, Reda (Multidisciplinary Digital Publishing Institute (MDPI), 2023)Cancer in all its forms of expression is a major cause of death. To identify the genomic reason behind cancer, discovery of biomarkers is needed. In this paper, genomic data of bladder cancer are examined for the purpose ... -
Human action recognition approaches with video datasets-A survey
Özyer, Tansel; Ak, Duygu Selin; Alhajj, Reda (Elsevier B.V., 2021)Human Activity Recognition has recently attracted considerable attention. This has been triggered by the rapid development of advance technologies and learning methods. Human action recognition can be actively used in a ... -
Human behavior modeling for simulating evacuation of buildings during emergencies
Şahin, Coşkun; Rokne, Jon; Alhajj, Reda (Elsevier, 2019)Every year, a considerably large number of disasters occur as a result of natural events or human faults. In order to decrease the damage and casualties associated with each disaster, it is crucial to get prepared for these ...