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Autism in the Gulf States: Why social robotics is the way forward
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, we assess the current situation in the Gulf States with respect to autism awareness and diagnostic facilities, and emphasize the need for epidemiology studies in light of prevalence statistics available for ... -
Autism spectrum disorder: A concept in evolution
( slack journals , 2019 , Article)Autism is a fascinating topic that has attracted the interest of researchers and the lay public alike. The history of autism is filled with accomplishments of people who were astute observers of childhood psychopathology. ... -
Autism-friendly public bus transport: A personal experience–based perspective
( SAGE , 2022 , Article)Community participation and the formation of social networks are crucial for a qualitative life. To this end, transportation plays an essential role. Many autistic people rely on public transportation for their mobility ... -
Auto-nahl: A neural network approach for condition-based maintenance of complex industrial systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states ... -
Autoignition of n-heptane in a turbulent co-flowing jet
( Elsevier , 2015 , Article)N-heptane autoignition in turbulent co-flowing jets with preheated air is studied using the one-dimensional turbulence (ODT) model. The simulations are designed to investigate the effects of molecular and turbulent transports ... -
Autoimmune Diseases of the GI Tract Part I: Etiology and Pathophysiology
( IntechOpen , 2022 , Book chapter)Autoimmune diseases have emerged as a pandemic in our modern societies, especially after World War II. There are currently more than 80 autoimmune diseases that compromise the lives of millions of patients around the world. ... -
Autoimmune Diseases of the GI Tract Part II: Emergence of Diagnostic Tools and Treatments
( IntechOpen , 2022 , Book chapter)Autoimmune diseases (AD) have emerged as a pandemic in our modern societies, especially after the World War II. In part I, we have reviewed five main diseases and shed light on different aspects from introducing the concept ... -
Autoinflammation in Syndromic Hidradenitis Suppurativa: The Role of AIM2.
( MDPI , 2023 , Report)AIM2 is a key cytoplasmatic pathogen-sensor that detects foreign DNA from viruses and bacteria; it can also recognize damaged or anomalous presence of DNA, promoting inflammasome assembly and activation with the secretion ... -
Automated Calibration of the EPA-SWMM Model for an Impact of Land Use and Land Cover Changes on Peak Discharge for a Sub-Urban Catchment of Delhi
( Qatar University Press , 2023 , Conference Paper)The Environmental Protection Agency's (EPA) Storm Water Management Model (SWMM), USA is a dynamic hydrologic-hydraulic model that simulates the amount and quality of runoff from urban areas. It is broadly used for planning, ... -
Automated class-based compression for real-time epileptic seizure detection
( IEEE Computer Society , 2018 , Conference Paper)The emergence of next generation wireless networking technologies has motivated a paradigm shift in development of viable mobile-Health applications for ubiquitous real-time healthcare monitoring. However, remote healthcare ... -
Automated Classification of Diabetic Retinopathy Severity: A Deep Learning Apprch
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)Background: Diabetic retinopathy (DR) is a damage to the retina caused by complications of diabetes and is the fastest growing cause of blindness. It is a major concern for the Qatari population, affecting about 40% of ... -
Automated construction of variable density navigable networks in a 3D indoor environment for emergency response
( Elsevier , 2016 , Article)Widespread human-induced or natural threats on buildings and their users have made preparedness and rapid response crucial issues for saving human lives. The ability to identify the paths of egress during an emergency is ... -
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Resistance to differential cryptanalysis is a fundamental security requirement for symmetric block ciphers, and recently, deep learning has attracted the interest of cryptography experts, particularly in the field of block ... -
Automated defect detection tool for closed circuit television (cctv) inspected sewer pipelines
( Elsevier B.V. , 2018 , Article)In sewer networks, the economic effects and costs that result from a pipeline failure are rising sharply. As a result, there is huge demand for inspection and rehabilitation of sewer pipelines. In addition to being inaccurate, ... -
Automated Defect Detection Tool For Sewer Pipelines
(2017 , Master Thesis)In sewer networks, the economic effects and costs that result from a pipeline break are rising sharply. In Qatar, majority of the sewer network pipelines were installed in the last 20 years and are currently in poor condition ... -
Automated detection of anomalies in sewer closed circuit television videos using proportional data modeling
( International Society for Trenchless Technology , 2016 , Conference Paper)Sewer pipeline condition information is usually collected using closed circuit television (CCTV). Moreover, in order to evaluate the condition of pipeline, data should be processed by a certified operator, which is time ... -
Automated Detection of Brain Tumor through Magnetic Resonance Images Using Convolutional Neural Network
( Hindawi , 2021 , Article)Brain tumor is a fatal disease, caused by the growth of abnormal cells in the brain tissues. Therefore, early and accurate detection of this disease can save patient's life. This paper proposes a novel framework for the ... -
Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features
( Springer Berlin Heidelberg , 2014 , Article)Perinatal hypoxia is a cause of cerebral injury in foetuses and neonates. Detection of foetal hypoxia during labour based on the pattern recognition of heart rate signals suffers from high observer variability and low ... -
Automated knowledge discovery in facility layout planning
( International Business Information Management Association, IBIMA , 2014 , Conference Paper)This paper proposes a novel methodology for facilities layout planning and optimization in which fitness evaluation of layout alternatives is done in an automated manner using an artificial neural network trained to user ... -
Automated layer-wise solution for ensemble deep randomized feed-forward neural network
( Elsevier B.V. , 2022 , Article)The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the output weights. The ensemble deep learning framework significantly ...
