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Outlier detection approaches based on machine learning in the internet-of-things
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Outlier detection in the Internet of Things (IoT) is an essential challenge issue studied in numerous fields, including fraud monitoring, intrusion detection, secure localization, trust management, and so on. Conventional ...
Simulation method for redesign of cars hood structure to achieve the requirements of pedestrian protection during accidents
(
American Institute of Physics Inc.
, 2020 , Conference Paper)
Thousands of lives the world loss every year due to Pedestrian-Cars accidents and more have injuries. Pedestrian Friendly Cars option is a viable alternative solution to reduce the pedestrian fatalities number and mitigate ...
Secrecy Performance Analysis of Multi-Antenna NOMA System with AF/DF relaying under External and Internal Eavesdropping Scenarios
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Due to the successive interference cancellation (SIC) technique, Non orthogonal multiple Access (NOMA) users have the capability of decoding the other paired users sharing the same resource bloc. As a result, NOMA technique ...
Federated Learning Stability Under Byzantine Attacks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Federated Learning (FL) is a machine learning approach that enables private and decentralized model training. Although FL has been shown to be very useful in several applications, its privacy constraints cause a lack of ...
Degradation of 4-chlorophenol through cooperative reductive and oxidative processes in an electrochemical system
(
Elsevier B.V.
, 2023 , Conference Paper)
Electrochemical treatment can be an effective approach for degrading recalcitrant organic contaminants because its anode/cathode produces powerful oxidizing/reducing conditions. Herein, through the cooperation of the ...
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
(
IEEE
, 2022 , Conference Paper)
Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ...
Empathy and Persona of English vs. Arabic Chatbots: A Survey and Future Directions
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
There is a high demand for chatbots across a wide range of sectors. Human-like chatbots engage meaningfully in dialogues while interpreting and expressing emotions and being consistent through understanding the user's ...
Control of plate vibrations with artificial neural networks and piezoelectricity
(
Springer New York LLC
, 2020 , Conference Paper)
This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate ...
Crowd Density Estimation using Imperfect Labels
(
IEEE
, 2023 , Conference Paper)
Density estimation is one of the most widely used method for crowd counting in which a deep learning model learns from head annotated crowd images to estimate crowd density in unseen images. Typically, the learning performance ...
Interaction between Internal and External Shear Reinforcement for Strengthened RC Deep Beams
(
Avestia Publishing
, 2021 , Conference Paper)
This paper presents a comprehensive experimental work to study the interaction between the internal and external shear reinforcement for strengthened reinforced concrete (RC) deep beams. For this purpose, a total of twelve ...