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A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure
( Springer , 2022 , Conference Paper)Monitoring the structural performance of engineering structures has always been pertinent for maintaining structural health and assessing the life cycle of structures. Structural Health Monitoring (SHM) and Structural ... -
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
( Springer , 2020 , Article)Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ... -
A novel hybrid cybersecurity scheme against false data injection attacks in automated power systems
( Springer , 2023 , Article)The conventional power systems are evolving as smart grids. In recent times cyberattacks on smart grids have been increasing. Among different attacks, False Data Injection (FDI) is considered as an emerging threat that has ... -
A Reconfigurable Connected Health Platform Using ZYNQ System on Chip
( Springer , 2018 , Book chapter)This paper presents a reconfigurable connected health platform for fall and cardiac disease detection to be used in smart home environments using Shimmer sensing device and ZYNQ System on Chip (SoC) platform. The system ... -
A survey on data center network topologies
( Springer , 2018 , Conference Paper)Data centers are the infrastructures that support the cloud computing services. So, their topologies have an important role on controlling the performance of these services. Designing an efficient topology with a high ... -
An energy saving mechanism based on vacation queuing theory in data center networks
( Springer , 2018 , Conference Paper)To satisfy the growing need for computing resources, data centers consume a huge amount of power which raises serious concerns regarding the scale of the energy consumption and wastage. One of the important reasons for ... -
An Overview of Deep Learning Methods Used in Vibration-Based Damage Detection in Civil Engineering
( Springer , 2022 , Conference Paper)This paper presents a brief overview of vibration-based damage identification studies based on Deep Learning (DL) in civil engineering structures. The presence, type, size, and propagation of structural damage on civil ... -
Analysis of a three-phase to seven-phase transformer under unbalanced input
( Springer , 2020 , Article)In the recent past, multiphase power generation, power transmission, and multiphase drive system are the main focus of research due to their several advantages over existing three phase system. Multiphase drives have better ... -
Big-Data Analytics Based Energy Analysis and Monitoring for Multi-storey Hospital Buildings: Case Study
( Springer , 2020 , Book chapter)Big-Data analytics based energy analysis and monitoring for multistory buildings plays an important role in proper management and control of operation of the hospital. In this study, hospitals of 16 time zones of three ... -
Classification of SAR Images Using Compact Convolutional Neural Networks
( Springer , 2022 , Book chapter)Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using SAR data can ... -
Cloud-Ready Biometric System for Mobile Security Access
( Springer , 2012 , Conference Paper)In this contribution, we introduce an application that allows a mobile phone to be used as a biometric-capture device for secure access to the cloud. In this application, the biometric capture and recognition are performed ... -
Control Methods for Minimizing Cross Regulation in Single Inductor Multiple Output Converters : A Review
( Springer , 2020 , Conference Paper)Single Inductor Multiple Output (SIMO) converter provides a cost-effective alternative to conventional power converters, which have more than one output. Its potential applications include portable devices, where multiple ... -
Crosstalk between HER2 and PD-1/PD-L1 in Breast Cancer: From Clinical Applications to Mathematical Models.
( Springer , 2020 , Article)Breast cancer is one of the major causes of mortality in women worldwide. The most aggressive breast cancer subtypes are human epidermal growth factor receptor-positive (HER2) and triple-negative breast cancers. Therapies ... -
Data-Driven Intelligent Model for Sale Price Prediction and Monitoring of a Building
( Springer , 2020 , Book chapter)The construction cost forecasting and monitoring plays an important role in a building condition assessment. The construction cost of a building (CCB) not only depends on the method of construction, equipment, labor, and ... -
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
( Springer , 2022 , Article)Novel coronavirus disease (COVID-19) is an extremely contagious and quickly spreading coronavirus infestation. Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which outbreak in 2002 ... -
Direct Torque Control Based on Artificial Neural Network of a Five-Phase PMSM Drive
( Springer , 2018 , Book chapter)Direct torque control (DTC) based on artificial neural network (ANN) of a five-phase permanent magnet synchronous motor drive (PMSM) is presented in this paper. Using the mathematical model of the five-phase motor, DTC ... -
Editorial: Time frequency and array processing of non-stationary signals
( Springer , 2012 , Article)Conventional time-frequency analysis methods were extended to data arrays in many applications, and there is the potential for more synergistic development of new advanced tools by exploiting the joint properties of ... -
Enhance data availability and network consistency using artificial neural network for IoT
( Springer , 2022 , Article)IoT networks have become famous and utilized in many industries such as agriculture, medical, manufacture, and others due to their efficiency and productivity. WSN is an IoT network used for smart farming and smart health ... -
Fully automated 2D and 3D convolutional neural networks pipeline for video segmentation and myocardial infarction detection in echocardiography
( Springer , 2022 , Article)Myocardial infarction (MI) is a life-threatening disorder that occurs due to a prolonged limitation of blood supply to the heart muscles, and which requires an immediate diagnosis to prevent death. To detect MI, cardiologists ... -
Global dissipativity of high-order Hopfield bidirectional associative memory neural networks with mixed delays
( Springer , 2020 , Article)In this paper, the problem of the global dissipativity of high-order Hopfield bidirectional associative memory neural networks with time-varying coefficients and distributed delays is discussed. By using Lyapunov?Krasovskii ...