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السجلات المعروضة 4486 -- 4505 من 7741
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M cell targeting engineered biomaterials for effective vaccination
( Elsevier Ltd , 2019 , Article)Vaccines are one of the greatest medical interventions of all time and have been successful in controlling and eliminating a myriad of diseases over the past two centuries. Among several vaccination strategies, mucosal ... -
M-LEARNING FOR TRAINING ENGLISH AT WORKPLACE
( IATED Digital Library , 2012 , Article)The research project described in this paper involves in using of a mobile learning approach to train newly recruited trainees on workplace English, so they can become more effective when communicating in the workplace. ... -
M-Profile ray tracing technique for multipath propagation
( IET , 1987 , Article)A model for the modified refractivity is suggested and used in a new and simple ray tracing approach for multipath propagation. The technique is then used to study the variations in ray path parameters for different path ... -
Machine learning aided load balance routing scheme considering queue utilization
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Due to the rapid development of network techniques, packet-switched systems experience high-speed growth of traffic, which imposes a heavy and unbalanced burden on the routers. Hence, efficient routing schemes are required ... -
Machine Learning and Digital Heritage: The CEPROQHA Project Perspective
( Springer , 2020 , Conference Paper)Through this paper, we aim at investigating the impact of artificial intelligence technologies on cultural heritage promotion and long-term preservation in terms of digitization effectiveness, attractiveness of the assets, ... -
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
( Springer Nature , 2022 , Article)Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. Some bones like the skull and pelvis display distinct morphological traits that are based ... -
Machine Learning Based Cloud Computing Anomalies Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Recently, machine learning algorithms have been proposed to design new security systems for anomalies detection as they exhibit fast processing with real-time predictions. However, one of the major challenges in machine ... -
Machine learning based photovoltaics (PV) power prediction using different environmental parameters of Qatar
( MDPI AG , 2019 , Article)Photovoltaics (PV) output power is highly sensitive to many environmental parameters and the power produced by the PV systems is significantly affected by the harsh environments. The annual PV power density of around 2000 ... -
Machine learning driven intelligent and self adaptive system for traffic management in smart cities
( Springer , 2022 , Article)Traffic congestion is becoming a serious problem with the large number of vehicle on the roads. In the traditional traffic control system, the timing of the green light is adjusted regardless of the average traffic rate ... -
Machine Learning for Anomaly Detection and Categorization in Multi-Cloud Environments
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Cloud computing has been widely adopted by application service providers (ASPs) and enterprises to reduce both capital expenditures (CAPEX) and operational expenditures (OPEX). Applications and services previously running ... -
Machine Learning for Capillary Pressure Estimation
( Society of Petroleum Engineers (SPE) , 2022 , Article)Capillary pressure plays an essential role in controlling multiphase flow in porous media and is often difficult to be estimated at subsurface conditions. The Leverett capillary pressure function J provides a convenient ... -
Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects
( Elsevier B.V. , 2022 , Article Review)In modern Smart Grids (SGs) ruled by advanced computing and networking technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this connection, a portion of transported data, containing ... -
Machine learning for prediction of the uniaxial compressive strength within carbonate rocks
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)The Uniaxial Compressive Strength (UCS) is an essential parameter in various fields (e.g., civil engineering, geotechnical engineering, mechanical engineering, and material sciences). Indeed, the determination of UCS in ... -
Machine learning in hydrogen production
( Institution of Chemical Engineers , 2022 , Other)Global demand for clean fuels is growing due to pollution and global warming. Undoubtedly, hydrogen is one of the main options for producing clean energy, which has been receiving special attention for years and global ... -
Machine learning in the Internet of Things: Designed techniques for smart cities
( Elsevier B.V. , 2019 , Article)Machine learning is one of the emerging technologies that has grabbed the attention of academicians and industrialists, and is expected to evolve in the near future. Machine learning techniques are anticipated to provide ... -
Machine Learning Methods for Dysgraphia Screening with Online Handwriting Features
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Dysgraphia, a major learning disorder that primarily interferes with writing skills can hinder the academic track of children unless recognized in the early stage. The diversity in the symptoms, as well as the emergence ... -
A machine learning model for early detection of diabetic foot using thermogram images
( Elsevier , 2021 , Article)Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The prevention of DFU may be achieved by the identification of patients at risk of DFU and the institution of preventative measures through ... -
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
( IEEE , 2021 , Conference Paper)COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ... -
Machine learning screening of COVID-19 patients based on X-ray images for unbalanced classes
( Hamad bin Khalifa University Press (HBKU Press) , 2021 , Article)Background: COVID-19 is a pandemic that had already infected more than forty-six million people and caused more than a million deaths by 1st of November 2020. The virus pandemic appears to have had a catastrophic effect ... -
Machine Learning Techniques for Detecting Attackers during Quantum Key Distribution in IoT Networks with Application to Railway Scenarios
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain ...
