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Articles 14461 - 14490 of 14754
Full-Text Articles in Physical Sciences and Mathematics
Machine Learning Techniques For Quantification Of Knee Segmentation From Mri, Sujeet More, Jimmy Singla, Ahed Abugabah, Ahmad Ali Alzubi
Machine Learning Techniques For Quantification Of Knee Segmentation From Mri, Sujeet More, Jimmy Singla, Ahed Abugabah, Ahmad Ali Alzubi
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© 2020 Sujeet More et al. Magnetic resonance imaging (MRI) is precise and efficient for interpreting the soft and hard tissues. Moreover, for the detailed diagnosis of varied diseases such as knee rheumatoid arthritis (RA), segmentation of the knee magnetic resonance image is a challenging and complex task that has been explored broadly. However, the accuracy and reproducibility of segmentation approaches may require prior extraction of tissues from MR images. The advances in computational methods for segmentation are reliant on several parameters such as the complexity of the tissue, quality, and acquisition process involved. This review paper focuses and briefly …
On The Validation Of Web X.509 Certificates By Tls Interception Products, Ahmad Samer Wazan, Romain Laborde, David Chadwick, Remi Venant, Abdelmalek Benzekri, Eddie Billoir, Omar Alfandi
On The Validation Of Web X.509 Certificates By Tls Interception Products, Ahmad Samer Wazan, Romain Laborde, David Chadwick, Remi Venant, Abdelmalek Benzekri, Eddie Billoir, Omar Alfandi
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The Transport Layer Security (TLS) protocol aims to provide confidentiality and integrity of data. It is based on X.509 Certificates. Our previous research showed that popular Web Browsers exhibit non-standardized behaviour with respect to the certificate validation process [1]. This paper extends that work by examining their handling of OCSP Stapling. We also examine several popular HTTPS interception products, including proxies and anti-virus tools, regarding their certificate validation processes. We analyse and compare their behaviour to that described in the relative standards. Finally, we propose a system that allows the automation of certificate validation tests.
Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging, Yaser A. Elnakieb, Mohamed T. Ali, Ahmed Soliman, Ali H. Mahmoud, Ahmed M. Shalaby, Norah Saleh Alghamdi, Mohammed Ghazal, Ashraf Khalil, Andrew Switala, Robert S. Keynton, Gregory Neal Barnes, Ayman El-Baz
Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging, Yaser A. Elnakieb, Mohamed T. Ali, Ahmed Soliman, Ali H. Mahmoud, Ahmed M. Shalaby, Norah Saleh Alghamdi, Mohammed Ghazal, Ashraf Khalil, Andrew Switala, Robert S. Keynton, Gregory Neal Barnes, Ayman El-Baz
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© 2013 IEEE. Autism Spectrum Disorder (ASD), commonly known as autism, is a lifelong developmental disorder associated with a broad range of symptoms including difficulties in social interaction, communication skills, and restricted and repetitive behaviors. In autism spectrum disorder, numerous studies suggest abnormal development of neural networks that manifest itself as abnormalities of brain shape, functionality, and/ or connectivity. The aim of this work is to present our automated computer aided diagnostic (CAD) system for accurate identification of autism spectrum disorder based on the connectivity of the white matter (WM) tracts. To achieve this goal, two levels of analysis are …
Decentralized Telemedicine Framework For A Smart Healthcare Ecosystem, Ahed Abugabah, Nishara Nizamuddin, Ahmad Ali Alzubi
Decentralized Telemedicine Framework For A Smart Healthcare Ecosystem, Ahed Abugabah, Nishara Nizamuddin, Ahmad Ali Alzubi
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The healthcare sector is one of the most rapidly growing sectors globally. With the ever-growing technology, patient care, regulatory compliance, and digital transformation, there is an increased need for healthcare sectors to collaborate with all stakeholders – both within the healthcare ecosystem and in concurring industries. In recent times, telemedicine has proven to provide high quality, affordable, and predominantly adapted healthcare services. However, telemedicine suffers from several risks in implementation, such as data breach, restricted access across medical fraternity, incorrect diagnosis and prescription, fraud, and abuse. In this work, introduce blockchain-based framework that would unlock the future of the healthcare …
Accurate Segmentation Of Cerebrovasculature From Tof-Mra Images Using Appearance Descriptors, Fatma Taher, Ahmed Soliman, Heba Kandil, Ali Mahmoud, Ahmed Shalaby, Georgy Gimel'farb, Ayman El-Baz
Accurate Segmentation Of Cerebrovasculature From Tof-Mra Images Using Appearance Descriptors, Fatma Taher, Ahmed Soliman, Heba Kandil, Ali Mahmoud, Ahmed Shalaby, Georgy Gimel'farb, Ayman El-Baz
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© 2013 IEEE. Analyzing cerebrovascular changes can significantly lead to not only detecting the presence of serious diseases e.g., hypertension and dementia, but also tracking their progress. Such analysis could be better performed using Time-of-Flight Magnetic Resonance Angiography (ToF-MRA) images, but this requires accurate segmentation of the cerebral vasculature from the surroundings. To achieve this goal, we propose a fully automated cerebral vasculature segmentation approach based on extracting both prior and current appearance features that have the ability to capture the appearance of macro and micro-vessels in ToF-MRA. The appearance prior is modeled with a novel translation and rotation invariant …
Ai Techniques For Covid-19, Adedoyin Ahmed Hussain, Ouns Bouachir, Fadi Al-Turjman, Moayad Aloqaily
Ai Techniques For Covid-19, Adedoyin Ahmed Hussain, Ouns Bouachir, Fadi Al-Turjman, Moayad Aloqaily
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© 2013 IEEE. Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression of insightful strategies. Motivated by the need to highlight the need for employing AI in battling the COVID-19 Crisis, this survey summarizes the current state of AI applications in clinical administrations while battling COVID-19. Furthermore, we highlight the application of Big Data while understanding this virus. We also overview various intelligence techniques and methods that can be applied to various types of medical information-based pandemic. We classify the …
Fine-Grained Sentiment Analysis For Measuring Customer Satisfaction Using An Extended Set Of Fuzzy Linguistic Hedges, Asad Khattak, Waqas Tariq Paracha, Muhammad Zubair Asghar, Nosheen Jillani, Umair Younis, Furqan Khan Saddozai, Ibrahim A. Hameed
Fine-Grained Sentiment Analysis For Measuring Customer Satisfaction Using An Extended Set Of Fuzzy Linguistic Hedges, Asad Khattak, Waqas Tariq Paracha, Muhammad Zubair Asghar, Nosheen Jillani, Umair Younis, Furqan Khan Saddozai, Ibrahim A. Hameed
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© 2020 The Authors. Published by Atlantis Press SARL. In recent years, the boom in social media sites such as Facebook and Twitter has brought people together for the sharing of opinions, sentiments, emotions, and experiences about products, events, politics, and other topics. In particular, sentiment-based applications are growing in popularity among individuals and businesses for the making of purchase decisions. Fuzzy-based sentiment analysis aims at classifying customer sentiment at a fine-grained level. This study deals with the development of a fuzzy-based sentiment analysis by extending fuzzy hedges and rule-sets for a more efficient classification of customer sentiment and satisfaction. …
Improving M-Learners' Performance Through Deep Learning Techniques By Leveraging Features Weights, Muhammad Adnan, Asad Habib, Jawad Ashraf, Babar Shah, Gohar Ali
Improving M-Learners' Performance Through Deep Learning Techniques By Leveraging Features Weights, Muhammad Adnan, Asad Habib, Jawad Ashraf, Babar Shah, Gohar Ali
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© 2013 IEEE. Mobile learning (M-learning) has gained tremendous attention in the educational environment in the past decade. For effective M-learning, it is important to create an efficient M-learning model that can identify the exact requirements of mobile learners (M-learners). M-learning model is composed of features that are generated during M-learners' interaction with mobile devices. For an adaptive M-learning model, not only learning features are required, but it is also important to determine how they differ for various M-learners, their weights, and interrelationship. This study proposes a robust and adaptive M-learning model that is based on machine learning and deep …
Personalized Computer-Aided Diagnosis For Mild Cognitive Impairment In Alzheimer's Disease Based On Smri And C Pib-Pet Analysis, Fatma El Zahraa A. El-Gamal, Mohammed M. Elmogy, Ashraf Khalil, Mohammed Ghazal, Jawad Yousaf, Xiaolu Qiu, Hassan H. Soliman, Ahmed Atwan, Hermann B. Frieboes, Gregory Neal Barnes, Ayman S. El-Baz
Personalized Computer-Aided Diagnosis For Mild Cognitive Impairment In Alzheimer's Disease Based On Smri And C Pib-Pet Analysis, Fatma El Zahraa A. El-Gamal, Mohammed M. Elmogy, Ashraf Khalil, Mohammed Ghazal, Jawad Yousaf, Xiaolu Qiu, Hassan H. Soliman, Ahmed Atwan, Hermann B. Frieboes, Gregory Neal Barnes, Ayman S. El-Baz
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© 2013 IEEE. Alzheimer's disease (AD) is a neurodegenerative condition that affects the central nervous system and represents 60% to 70% of all dementia cases. Due to an increased aging population, the number of patients diagnosed with AD is expected to exceed 131 million worldwide by 2050. The disease is characterized by various clinical symptoms and pathological features that define three main sequential decline stages, namely, early/mild, intermediate/moderate and late/severe stages. Although it is considered irreversible, early diagnosis of AD is highly desirable to help preserve cognitive function. However, early diagnosis is difficult due to different factors, including the patient-specific …
Benzimidazole Containing Acetamide Derivatives Attenuate Neuroinflammation And Oxidative Stress In Ethanol-Induced Neurodegeneration, Muhammad Imran, Lina Tariq Al Kury, Humaira Nadeem, Fawad Ali Shah, Muzaffar Abbas, Shagufta Naz, Arif Ullah Khan, Shupeng Li
Benzimidazole Containing Acetamide Derivatives Attenuate Neuroinflammation And Oxidative Stress In Ethanol-Induced Neurodegeneration, Muhammad Imran, Lina Tariq Al Kury, Humaira Nadeem, Fawad Ali Shah, Muzaffar Abbas, Shagufta Naz, Arif Ullah Khan, Shupeng Li
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Oxidative stress-induced neuroinflammation is the prominent feature of neurodegenerative disorders, and is characterized by a gradual decline of structure and function of neurons. Many biochemical events emerge thanks to the result of this neurodegeneration, and ultimately provoke neuroinflammation, activation of microglia, and oxidative stress, leading to neuronal death. This cascade not only explains the complexity of events taking place across different stages, but also depicts the need for more effective therapeutic agents. The present study was designed to investigate the neuroprotective effects of newly synthesized benzimidazole containing acetamide derivatives, 3a (2-(4-methoxyanilino)-N-[1-(4-methylbenzene-1-sulfonyl)-1H-benzimidazol-2-yl] …
Thwarting Icmp Low-Rate Attacks Against Firewalls While Minimizing Legitimate Traffic Loss, Kadhim Hayawi, Zouheir Trabelsi, Safaa Zeidan, Mohammad Mehedy Masud
Thwarting Icmp Low-Rate Attacks Against Firewalls While Minimizing Legitimate Traffic Loss, Kadhim Hayawi, Zouheir Trabelsi, Safaa Zeidan, Mohammad Mehedy Masud
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© 2013 IEEE. Low-rate distributed denial of service (LDDoS) attacks pose more challenging threats that disrupt network security devices and services. Such type of attacks is difficult to detect and mitigate. In LDDoS attacks, attacker uses low-volume of malicious traffic that looks alike legitimate traffic. Thus, it can enter the network in silence without any notice. However, it may have severe effect on disrupting network services, depleting system resources, and degrading network speed to a point considering them as one of the most damaging attack types. There are many types of LDDoS such as application server and ICMP error messages …
Iot-Enabled Flood Severity Prediction Via Ensemble Machine Learning Models, Mohammed Khalaf, Haya Alaskar, Abir Jaafar Hussain, Thar Baker, Zakaria Maamar, Rajkumar Buyya, Panos Liatsis, Wasiq Khan, Hissam Tawfik, Dhiya Al-Jumeily
Iot-Enabled Flood Severity Prediction Via Ensemble Machine Learning Models, Mohammed Khalaf, Haya Alaskar, Abir Jaafar Hussain, Thar Baker, Zakaria Maamar, Rajkumar Buyya, Panos Liatsis, Wasiq Khan, Hissam Tawfik, Dhiya Al-Jumeily
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© 2013 IEEE. River flooding is a natural phenomenon that can have a devastating effect on human life and economic losses. There have been various approaches in studying river flooding; however, insufficient understanding and limited knowledge about flooding conditions hinder the development of prevention and control measures for this natural phenomenon. This paper entails a new approach for the prediction of water level in association with flood severity using the ensemble model. Our approach leverages the latest developments in the Internet of Things (IoT) and machine learning for the automated analysis of flood data that might be useful to prevent …
What Does The Smarter Future Entail? 5g Technology: Its Application, Limit, And Future, Norah Han
What Does The Smarter Future Entail? 5g Technology: Its Application, Limit, And Future, Norah Han
The Synapse: Intercollegiate science magazine
No abstract provided.
New Caledonian Crows: Nature's Hidden Genus: On A Small, Isolated Island, A Group Of Feathered Craftsmen Has Forged Extraordinary Tool-Making Culture, Ruma Arabatti
The Synapse: Intercollegiate science magazine
No abstract provided.
What’S Actually Going On With The Bees? I See The Slogan And Can’T Help But Wonder… What’S Actually Going On With The Bees And Why Do They Need Our Help?, Barlow Wagner
The Synapse: Intercollegiate science magazine
No abstract provided.
The History Of Chemistry: Chemical Education In The United States, Emma Larson
The History Of Chemistry: Chemical Education In The United States, Emma Larson
The Synapse: Intercollegiate science magazine
No abstract provided.
The Newark Earthworks: A Magnificent Piece Of Archaeological History, Kileigh Ford
The Newark Earthworks: A Magnificent Piece Of Archaeological History, Kileigh Ford
The Synapse: Intercollegiate science magazine
No abstract provided.
An Invisible Epidemic: The Significance, Challenges, And Science Of Autoimmune Neuropathy, Anna Harrison
An Invisible Epidemic: The Significance, Challenges, And Science Of Autoimmune Neuropathy, Anna Harrison
The Synapse: Intercollegiate science magazine
No abstract provided.
The Labbies, Kirsten Heuring
The Labbies, Kirsten Heuring
The Synapse: Intercollegiate science magazine
No abstract provided.
Neuroscience Themed Word Search
Neuroscience Themed Word Search
The Synapse: Intercollegiate science magazine
No abstract provided.
Congratulations To Our Seniors
Congratulations To Our Seniors
The Synapse: Intercollegiate science magazine
No abstract provided.
Too Juul For School: Serious Dangers Wrapped In Fun Flavors, Nicole Franowicz
Too Juul For School: Serious Dangers Wrapped In Fun Flavors, Nicole Franowicz
The Synapse: Intercollegiate science magazine
No abstract provided.
The History Of Geology: Oberlin College Rock Garden Unearths Ohio’S Geologic History, Monica Dix
The History Of Geology: Oberlin College Rock Garden Unearths Ohio’S Geologic History, Monica Dix
The Synapse: Intercollegiate science magazine
No abstract provided.
It’S Alive! (Maybe): History, Advancements, And Ethics Surrounding Brain Revival, Voctoria Fisher
It’S Alive! (Maybe): History, Advancements, And Ethics Surrounding Brain Revival, Voctoria Fisher
The Synapse: Intercollegiate science magazine
No abstract provided.
Human Immunodeficiency Virus (Hiv): Does The West Matter More? Viral Evolution And The Consequences Of Western Supremacy In Hiv Research And Treatment, Mariam Saied
The Synapse: Intercollegiate science magazine
No abstract provided.
Sjögren's Syndrome More Than Meets The Eye, Anna Harrison
Sjögren's Syndrome More Than Meets The Eye, Anna Harrison
The Synapse: Intercollegiate science magazine
No abstract provided.
Energetic Roots: The Thermodynamics Of Ase, Oluwadamilare Ogunjimi
Energetic Roots: The Thermodynamics Of Ase, Oluwadamilare Ogunjimi
The Synapse: Intercollegiate science magazine
No abstract provided.
Cute Bits: Enormous Power Within Tiny Particles, Norah Han
Cute Bits: Enormous Power Within Tiny Particles, Norah Han
The Synapse: Intercollegiate science magazine
No abstract provided.