Browsing College of Engineering by Title
Now showing items 4570-4589 of 7854
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Machine Learning Techniques for Network Anomaly Detection: A Survey
( IEEE , 2020 , Conference Paper)Nowadays, distributed data processing in cloud computing has gained increasing attention from many researchers. The intense transfer of data has made the network an attractive and vulnerable target for attackers to exploit ... -
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals
( Elsevier , 2023 , Article)Gait analysis is helpful for rehabilitation, clinical diagnoses, and sporting activities. Among the gathered signals, ground reaction forces (GRF) may be used for assisting doctors in recognizing and categorizing gait ... -
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait
( MDPI , 2022 , Article)Diabetic neuropathy (DN) is one of the prevalent forms of neuropathy that involves alterations in biomechanical changes in the human gait. Diabetic foot ulceration (DFU) is one of the pervasive types of complications that ... -
Machine learning-based management of electric vehicles charging: Towards highly-dispersed fast chargers
( MDPI AG , 2020 , Article)Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the ... -
Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections
( Elsevier , 2022 , Article)Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ... -
Machine Learning-Based Network Vulnerability Analysis of Industrial Internet of Things
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)It is critical to secure the Industrial Internet of Things (IIoT) devices because of potentially devastating consequences in case of an attack. Machine learning (ML) and big data analytics are the two powerful leverages ... -
Machine Learning-based Regression and Classification Models for Oil Assessment of Power Transformers
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Expensive and widely used power and distribution transformers need to be monitored to ensure the reliability of the power grid. Evaluating the transformer oil different parameters is vital to determine the transformer ... -
Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals
( MDPI , 2023 , Article)The continuous monitoring of respiratory rate (RR) and oxygen saturation (SpO2) is crucial for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to assess the effectiveness of lung medications ... -
Machine learning-based shear capacity prediction and reliability analysis of shear-critical RC beams strengthened with inorganic composites
( Elsevier , 2022 , Article)The application of inorganic composites has proven to be an effective strengthening technique for shear-critical reinforced concrete (RC) beams. However, accurate prediction of the shear capacity of RC beams strengthened ... -
Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review
( MDPI , 2022 , Article Review)Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be ... -
Machine unlearning: Its need and implementation strategies
( Association for Computing Machinery , 2021 , Conference Paper)Generally when users share information about themselves on some online platforms, they knowingly or unknowingly allow this data to be used by the companies behind these companies for various purposes including selling this ... -
Machine-Learning Based Relay Selection in AF Cooperative Networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)With the significant increase of wireless network nodes and traffic load in recent years, especially in the emerging internet-of-things (IoT) and vehicular networks, the design of a fast adaptive relay selection algorithm ... -
Machine-Learning-Aided Optical Fiber Communication System
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The fiber optical network offers high speed, large bandwidth, and a high degree of reliability. However, the development of optical communication technology has hit a bottleneck due to several challenges such as energy ... -
Machine-Learning-Based Efficient and Secure RSU Placement Mechanism for Software-Defined-IoV
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The massive increase in computing and network capabilities has resulted in a paradigm shift from vehicular networks to the Internet of Vehicles (IoV). Owing to the dynamic and heterogeneous nature of IoV, it requires ... -
Machine-to-Machine (M2M) communications: A survey
( Academic Press , 2016 , Article Review)Machine-to-Machine (M2M) communication is a promising technology for next generation communication systems. This communication paradigm facilitates ubiquitous communications with full mechanical automation, where a large ... -
Macro-scale direct shear test device for assessing soil-solid interface friction under low effective normal stresses
( ASTM International , 2014 , Article)The paper describes a new macro-scale direct shear test device for assessing the largedisplacement soil/solid interface drained shear strength at low effective normal stresses. The testing method arises from a need to ... -
Magnetic gearbox with an electric power output port and fixed speed ratio for wind energy applications
( IEEE , 2012 , Conference Paper)Mechanical gearboxes are typically employed with doubly-fed induction generator-based wind turbines. The main drawback of this solution is the gearbox's reliability and maintenance. Using magnetic gearbox in conjunction ... -
Magnetic nanocatalysts as multifunctional platforms in cancer therapy through the synthesis of anticancer drugs and facilitated Fenton reaction
( Elsevier B.V. , 2021 , Article)Background: Heterocyclic compounds have always been used as a core portion in the development of anticancer drugs. However, there is a pressing need for developing inexpensive and simple alternatives to high-cost and complex ... -
Magnetic nanoparticles draw solution for forward osmosis: Current status and future challenges in wastewater treatment
( Elsevier , 2022 , Article)Forward osmosis is considered as the least energy intensive membrane process since it operates based on the osmotic pressure gradient. However, it is still considered as immature technology mainly due to the elevated cost ... -
Magnetic separation of micron-sized particles: process study and regression modelling using moving least squares and multivariable power least squares method
( Taylor and Francis Ltd. , 2022 , Article)The presence of fine particles has reduced the quality of water resources. Unfortunately, the fine particles normally take a longer time to be removed. Realizing this, the present study aims to employ a magnetic adsorbent ...