Search Results - "Ashraf, Imran"

Quantum Computing-From NISQ to PISQ by Bertels, Koen, Sarkar, Aritra, Ashraf, Imran

“…Given the impeding timeline of developing good quality quantum processing units, it is the moment to rethink the approach to advance quantum computing…”
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Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model by Rupapara, Vaibhav, Rustam, Furqan, Aljedaani, Wajdi, Shahzad, Hina Fatima, Lee, Ernesto, Ashraf, Imran

“…Blood cancer has been a growing concern during the last decade and requires early diagnosis to start proper treatment. The diagnosis process is costly and…”
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Exogenous application of proline and phosphorus help improving maize performance under salt stress by Naz, Maliha, Hussain, Sadam, Ashraf, Imran, Farooq, Muhammad

“…Salinity is one of the important abiotic stresses that challenge crop productivity worldwide. Crop nutrition management and exogenous application of proline…”
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Catastrophic factors involved in road accidents: Underlying causes and descriptive analysis by Ashraf, Imran, Hur, Soojung, Shafiq, Muhammad, Park, Yongwan

“…South Korea is ranked as 4th among 34 nations of the Organization for Economic Cooperation and Development with 102 deaths in road accidents per one million…”
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Reduced features set neural network approach based on high-resolution time-frequency images for cardiac abnormality detection by Shafi, Imran, Aziz, Aesar, Din, Sadia, Ashraf, Imran

“…A suitable temporal and spectral processing of the electrocardiogram (ECG) signals can facilitate the visual interpretation and discrimination between known…”
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Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction by Raza, Ali, Siddiqui, Hafeez Ur Rehman, Munir, Kashif, Almutairi, Mubarak, Rustam, Furqan, Ashraf, Imran

“…Maternal health is an important aspect of women’s health during pregnancy, childbirth, and the postpartum period. Specifically, during pregnancy, different…”
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A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection by Afza, Farhat, Khan, Muhammad Attique, Sharif, Muhammad, Kadry, Seifedine, Manogaran, Gunasekaran, Saba, Tanzila, Ashraf, Imran, Damaševičius, Robertas

“…In this article, we implement an action recognition technique based on features fusion and best feature selection. In the proposed method, HSI color…”
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DeepLocate: Smartphone Based Indoor Localization with a Deep Neural Network Ensemble Classifier by Ashraf, Imran, Hur, Soojung, Park, Sangjoon, Park, Yongwan

“…A quickly growing location-based services area has led to increased demand for indoor positioning and localization. Undoubtedly, Wi-Fi fingerprint-based…”
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Timing and Resource-Aware Mapping of Quantum Circuits to Superconducting Processors by Lao, Lingling, van Someren, Hans, Ashraf, Imran, Almudever, Carmen G.

“…Quantum algorithms need to be compiled to respect the constraints imposed by quantum processors, which is known as the mapping problem. The mapping procedure…”
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A Survey on Cyber Security Threats in IoT-Enabled Maritime Industry by Ashraf, Imran, Park, Yongwan, Hur, Soojung, Kim, Sung Won, Alroobaea, Roobaea, Zikria, Yousaf Bin, Nosheen, Summera

“…Impressive technological advancements over the past decades commenced significant advantages in the maritime industry sector and elevated commercial,…”
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Indoor Positioning on Disparate Commercial Smartphones Using Wi-Fi Access Points Coverage Area by Ashraf, Imran, Hur, Soojung, Park, Yongwan

“…The applications of location-based services require precise location information of a user both indoors and outdoors. Global positioning system’s reduced…”
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Enhancing Performance of Magnetic Field Based Indoor Localization Using Magnetic Patterns from Multiple Smartphones by Ashraf, Imran, Hur, Soojung, Park, Yongwan

“…Wide expansion of smartphones triggered a rapid demand for precise localization that can meet the requirements of location-based services. Although the global…”
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Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification Using RVVC Model by Rupapara, Vaibhav, Rustam, Furqan, Shahzad, Hina Fatima, Mehmood, Arif, Ashraf, Imran, Choi, Gyu Sang

“…Social media platforms and microblogging websites have gained accelerated popularity during the past few years. These platforms are used for expressing views…”
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Zero Touch Networks to Realize Virtualization: Opportunities, Challenges, and Future Prospects by Ashraf, Imran, Zikria, Yousaf Bin, Garg, Sahil, Park, Yongwan, Kaddoum, Georges, Singh, Satinder

“…The heterogeneity and growing complexity from the evolution of 5G and beyond networks and the development of future IoT networks necessitate the automatic…”
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Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists by Khan, Muhammad Attique, Ashraf, Imran, Alhaisoni, Majed, Damaševičius, Robertas, Scherer, Rafal, Rehman, Amjad, Bukhari, Syed Ahmad Chan

“…Manual identification of brain tumors is an error-prone and tedious process for radiologists; therefore, it is crucial to adopt an automated system. The binary…”
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Analyzing Performance of YOLOx for Detecting Vehicles in Bad Weather Conditions by Ashraf, Imran, Hur, Soojung, Kim, Gunzung, Park, Yongwan

“…Recent advancements in computer vision technology, developments in sensors and sensor-collecting approaches, and the use of deep and transfer learning…”
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Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19 by Mujahid, Muhammad, Lee, Ernesto, Rustam, Furqan, Washington, Patrick Bernard, Ullah, Saleem, Reshi, Aijaz Ahmad, Ashraf, Imran

“…Amid the worldwide COVID-19 pandemic lockdowns, the closure of educational institutes leads to an unprecedented rise in online learning. For limiting the…”
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Tweets Classification on the Base of Sentiments for US Airline Companies by Rustam, Furqan, Ashraf, Imran, Mehmood, Arif, Ullah, Saleem, Choi, Gyu

“…The use of data from social networks such as Twitter has been increased during the last few years to improve political campaigns, quality of products and…”
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Smartphone Inertial Measurement Unit Data Features for Analyzing Driver Driving Behavior by Kanwal, Khadija, Rustam, Furqan, Chaganti, Rajeskhar, Jurcut, Anca Delia, Ashraf, Imran

“…Driving behavior is an important aspect of maintaining and sustaining safe transport on the roads. It also directly affects fuel consumption, traffic flow,…”
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MINLOC:Magnetic Field Patterns-Based Indoor Localization Using Convolutional Neural Networks by Ashraf, Imran, Kang, Mingyu, Hur, Soojung, Park, Yongwan

“…Conventional geomagnetic field-based indoor positioning and localization techniques determine the user's position by comparing the database with the…”
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