Search Results - "Anees, Tayyaba"

DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images by Naeem, Ahmad, Anees, Tayyaba

“…Skin cancer is a common cancer affecting millions of people annually. Skin cells inside the body that grow in unusual patterns are a sign of this invasive…”
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Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds by Malik, Hassaan, Anees, Tayyaba

“…Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19, lung cancer (LC), consolidation lung (COL), and many more. When…”
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BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs by Malik, Hassaan, Anees, Tayyaba, Mui-zzud-din

“…Globally, coronavirus disease (COVID-19) has badly affected the medical system and economy. Sometimes, the deadly COVID-19 has the same symptoms as other chest…”
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Challenges and Solutions for Processing Real-Time Big Data Stream: A Systematic Literature Review by Mehmood, Erum, Anees, Tayyaba

“…Contribution: Recently, real-time data warehousing (DWH) and big data streaming have become ubiquitous due to the fact that a number of business organizations…”
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Web of Things: Security Challenges and Mechanisms by Sardar, Ruhma, Anees, Tayyaba

“…Web of things (WoT) is an improved and most promising infrastructure of the internet of things (IoT) which permits the smart things to not only integrate to…”
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SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images by Naeem, Ahmad, Anees, Tayyaba, Fiza, Makhmoor, Naqvi, Rizwan Ali, Lee, Seung-Won

“…Skin cancer is a deadly disease, and its early diagnosis enhances the chances of survival. Deep learning algorithms for skin cancer detection have become…”
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The Web of Things: Findability Taxonomy and Challenges by Faheem, Muhammad Rehan, Anees, Tayyaba, Hussain, Muzammil

“…Due to an increase in the number of devices, the Web of Things (WoT) has attracted a great deal of attention and focus from researchers in the past few years…”
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Performance Analysis of Not Only SQL Semi-Stream Join Using MongoDB for Real-Time Data Warehousing by Mehmood, Erum, Anees, Tayyaba

“…Data warehousing has been indispensable to enterprises for decades. However, infrequently updated data warehouse environment does not support quicker business…”
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An Efficient Data Access Approach With Queue and Stack in Optimized Hybrid Join by Aziz, Omer, Anees, Tayyaba, Mehmood, Erum

“…As rapid decision making in business organizations gain in popularity, the complexity and adaptability of extract, transform, and load (ETL) process of near…”
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Deep learned vectors’ formation using auto-correlation, scaling, and derivations with CNN for complex and huge image retrieval by Naeem, Ahmad, Anees, Tayyaba, Ahmed, Khawaja Tehseen, Naqvi, Rizwan Ali, Ahmad, Shabir, Whangbo, Taegkeun

“…Deep learning for image retrieval has been used in this era, but image retrieval with the highest accuracy is the biggest challenge, which still lacks…”
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A Novel Fusion Model of Hand-Crafted Features with Deep Convolutional Neural Networks for Classification of Several Chest Diseases using X-ray Images by Malik, Hassaan, Anees, Tayyaba, Chaudhry, Muhammad Umar, Gono, Radomir, Jasinski, Michal, Leonowicz, Zbigniew, Bernat, Petr

“…With the continuing global pandemic of coronavirus (COVID-19) sickness, it is critical to seek diagnostic approaches that are both effective and rapid to limit…”
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Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans by Malik, Hassaan, Anees, Tayyaba, Naeem, Ahmad, Naqvi, Rizwan Ali, Loh, Woong-Kee

“…Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy must be employed to isolate COVID-19. When it comes to determining the…”
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SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images by Naeem, Ahmad, Anees, Tayyaba, Khalil, Mudassir, Zahra, Kiran, Naqvi, Rizwan Ali, Lee, Seung-Won

“…The medical sciences are facing a major problem with the auto-detection of disease due to the fast growth in population density. Intelligent systems assist…”
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DHSDJArch: an efficient design of distributed heterogeneous stream-disk join architecture by Mehmood, Erum, Anees, Tayyaba, Al-Shamayleh, Ahmad Sami, Al-Ghushami, Abdullah Hussein, Khalil, Wajeeha, Akhunzada, Adnan

“…Heterogeneity is the key aspect of complex networks and smart devices for using it as nature of live streams. The heterogeneous stream-disk join is a…”
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Indexing in WoT to Locate Indoor Things by Faheem, Muhammad R., Anees, Tayyaba, Hussain, Muzammil, Ditta, Allah, Alquhayz, Hani, Khan, Muhammad Adnan

“…The Web of Things (WoT) is an enhanced form of the Internet of Things (IoT) that has changed the trend of life nowadays. Due to IoT, life is transformed into…”
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Space-Air-Ground Integrated Network for Disaster Management: Systematic Literature Review by Anjum, Muhammad Junaid, Anees, Tayyaba, Tariq, Fatima, Shaheen, Momina, Amjad, Sabeen, Iftikhar, Fareeha, Ahmad, Faizan

“…The occurrence of any kind of natural disaster will eventually lead to the loss of life and property. Countries where such disasters occur make every effort to…”
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Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Malik, Hassaan, Anees, Tayyaba, Al-Shamaylehs, Ahmad Sami, Alharthi, Salman Z, Khalil, Wajeeha, Akhunzada, Adnan

“…Chest disease refers to a variety of lung disorders, including lung cancer (LC), COVID-19, pneumonia (PNEU), tuberculosis (TB), and numerous other respiratory…”
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Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays by Malik, Hassaan, Anees, Tayyaba

“…The increasing global incidence of COVID-19 necessitates the rapid development of a reliable method for diagnosing the disease. The virus is spreading so…”
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Distributed real-time ETL architecture for unstructured big data by Mehmood, Erum, Anees, Tayyaba

“…Real-time extract transform load (ETL) is the integral part of increasing demand of faster business decisions targeting large number of modern applications…”
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CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays by Malik, Hassaan, Anees, Tayyaba, Din, Muizzud, Naeem, Ahmad

“…Coronavirus (COVID-19) has adversely harmed the healthcare system and economy throughout the world. COVID-19 has similar symptoms as other chest disorders such…”
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