Browsing by Author "Jamil, Akhtar"
Now showing items 1-20 of 21
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Automatic discriminative feature extraction using Convolutional Neural Network for remote sensing image classification
Jamil, Akhtar; Bayram, B. (Asian Association on Remote Sensing, 2020)Supervised approaches require selection of training samples from all classes and then a set of highly discriminative feature descriptors are extracted to represent each class. Traditional classification methods employee ... -
Automatic Video Indexing and Retrieval System for Turkish Videos
Rasheed, Jawad; Jamil, Akhtar; Yahyaoui, Amani; Madey, Ahmed Sheikh Abdullahi (Ieee, 2020)A continual increase in multimedia data needs a sophisticated automatic video indexing and retrieval system based on its content. This paper exploited statistical feature along with some morphological operations to detect ... -
Cancer detection using deep learning techniques
Alkurdi, Dunya Ahmed; Ilyas, Muhammad; Jamil, Akhtar (Springer Heidelberg, 2021)Breast cancer has become the most common form of cancer in world recently having overtaken cervical cancer in urban cities. Immense research has been carried out on breast cancer and several automated machines for detection ... -
COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
Rasheed, Jawad; Jamil, Akhtar; Hameed, Alaa Ali; Al-Turjman, Fadi; Rasheed, Ahmad (Springer Heidelberg, 2021)The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China, has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 million deaths across the globe. To combat the ... -
A decision support system for diabetes prediction using machine learning and deep learning techniques
Yahyaoui, Amani; Jamil, Akhtar; Rasheed, Jawad; Yesiltepe, Mirsat (Institute of Electrical and Electronics Engineers Inc., 2019)With the continuing increase in the number of the deadly diseases that threaten both human health and life, medical Decision Support Systems (DSS) continue to prove their effectiveness in providing physicians and other ... -
A deep learning approach for hydrological time-series prediction: A case study of Gilgit river basin
Hussain, Dostdar; Hussain, Tahir; Khan, Aftab Ahmed; Naqvi, Syed Ali Asad; Jamil, Akhtar (Springer Heidelberg, 2020)Streamflow prediction is a significant undertaking for water resources planning and management. Accurate forecasting of streamflow always being a challenging task for the hydrologist due to its high stochasticity and dynamic ... -
A deep learning-based method for Turkish text detection from videos
Rasheed, Jawad; Jamil, Akhtar; Doğru, Hasibe Büşra; Tilki, Sahra; Yesiltepe, Mirsat (Ieee, 2019)The text appearing in videos provides useful information, which can be exploited for developing automatic video indexing and retrieval systems. In this study, we integrated a heuristic and a deep learning-based method using ... -
The delineation of tea gardens from high resolution digital orthoimages using mean-shift and supervised machine learning methods
Jamil, Akhtar; Bayram, Bülent (Taylor and Francis Ltd., 2019)Rize district is an important tea production site in Turkey, which is known for high quality tea. Determining the temporal changes is very crucial from the viewpoint of agricultural management and protection of tea areas. ... -
Effects of glow data augmentation on face recognition system based on deep learning
Rasheed, Jawad; Alimovski, Erdal; Rasheed, A.; Şirin, Yahya; Jamil, Akhtar; Yesiltepe, M. (Institute of Electrical and Electronics Engineers Inc., 2020)Biometric artificial intelligence application depends on amount of material on which they are trained. In this paper, we integrated Glow data augmentation technique to diversify the facial images dataset to analyze its ... -
Local statistical features for multilingual artificial text detection from video images
Jamil, Akhtar; Rasheed, Jawad; Bayram, Bülent (2019)Textual information present in videos or images offers very compact and accurate form of information that can be exploited for semantic analysis of multimedia content. This paper exploited statistical features for ... -
A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
Rasheed, Jawad; Hameed, Alaa Ali; Djeddi, Chawki; Jamil, Akhtar; Al-Turjman, Fadi (Springer Heidelberg, 2021)Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and mankind all over the world is vulnerable to this virus. Alternative tools are needed that can help in diagnosis of the coronavirus. Researchers of ... -
Machine-learning algorithms for mapping debris-covered glaciers: the hunza basin case study
Khan, Aftab Ahmed; Jamil, Akhtar; Hussain, Dostdar; Taj, Murtaza; Jabeen, Gul; Malik, Muhammad Kamran (Ieee-Inst Electrical Electronics Engineers Inc, 2020)Global warming is one of the main challenges of recent times. The glaciers are melting faster than expected which has resulted in global mean sea level rise and increased the risk of floods. The development of modern remote ... -
Mapping hazelnut trees from high resolution digital orthophoto maps: A quantitative comparison of an object and a pixel based approaches
Jamil, Akhtar; Bayram, Bülent; Şeker, Dursun Zafer (Parlar Scientific Publications (PSP), 2019)This study investigates the suitability of object and pixel-based approaches for extraction of hazelnut trees from high resolution digital orthophoto maps. For object-based approach, simple linear iterative clustering ... -
Monocular vision with deep neural networks for autonomous mobile robots navigation
Sleaman, Walead Kaled; Hameed, Alaa Ali; Jamil, Akhtar (Elsevier GmbH, 2023)Enabling mobile robots to explore the formerly unidentified environment is a challenging task. The current paper describes the internal analysis algorithm for mobile robots that combines various convolutional neural network ... -
Preface
Djeddi, C.; Jamil, Akhtar; Siddiqi, I. (Springer, 2020) -
Stock Market Value Prediction using Deep Learning
Kalyoncu, Şeyda; Jamil, Akhtar; Karataş, Enes; Rasheed, Jawad; Djeddi, Chawki (Sakarya Uygulamalı Bilimler Üniversitesi, 2020)The stock market is a key indicator of the economic conditions of a country. Stock exchange provides a neutral ground for brokers and companies to invest. Due to high investment return, people tend to invest in stock ... -
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
Rasheed, Jawad; Jamil, Akhtar; Hameed, Alaa Ali; Aftab, U.; Aftab, J.; Shah, S.A.; Draheim, D. (Elsevier Ltd, 2020)While the world has experience with many different types of infectious diseases, the current crisis related to the spread of COVID-19 has challenged epidemiologists and public health experts alike, leading to a rapid search ... -
A time series assessment of terrestrial water storage and its relationship with hydro-meteorological factors in Gilgit-Baltistan region using GRACE observation and GLDAS-Noah model
Hussain, Dostdar; Khan, Aftab Ahmed; Ul Hassan, Syed Najam; Naqvi, Syed Ali Asad; Jamil, Akhtar (Springer International Publishing Ag, 2021)Mountains regions like Gilgit-Baltistan (GB) province of Pakistan are solely dependent on seasonal snow and glacier melt. In Indus basin which forms in GB, there is a need to manage water in a sustainable way for the ... -
Time series assessment of the relationship between land surface temperature due to change in elevation: a case study from Hindukush-Himalayan Region (HKH)
Khan, Aftab Ahmed; Hussain, Dostdar; Ali, Karamat; Khan, Garee; Ali, Manzoor; Jamil, Akhtar (Springer Heidelberg, 2020)Environmental studies that include studies related to climate change, change in biodiversity, and hydrology consider land surface temperature (LST) and near-surface air temperature as significant variables to contribute. ... -
Turkish text detection system from videos using machine learning and deep learning techniques
Rasheed, Jawad; Doğru, Hasibe Büşra; Jamil, Akhtar (Institute of Electrical and Electronics Engineers Inc., 2020)With the advancement in smart devices and high-speed internet, a continual increase in videos demands an efficient and automatic video indexing and retrieval system. To accomplish it, content-based video indexing is an ...
