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Early breast cancer diagnostics based on hierarchical machine learning classification for mammography images

Breast cancer constitutes a significant threat to women’s health and is considered the second leading cause of their death. Breast cancer is a result of abnormal behavior in the functionality of the normal breast cells. Therefore, breast cells tend to grow uncontrollably, forming a tumor that can be felt like a breast lump. Early diagnosis of breast cancer is proved to reduce the risks of death by

Software and Communications

Numerical solution to a 2D-problem of piezo-thermoelasticity in a quarter-space within the dual-phase-lag model

We present a numerical solution by finite differences to a linear, plane, initial-boundary-value problem of thermo-piezoelasticity in a quarter-space, within the dual-phase-lag model. Motion is excited by a one-period heat regime applied to one boundary of the medium. The relation between the two relaxation times is clarified in order to obtain wave-like solutions. An explicit, three-level

Mechanical Design

On-the-Fly Parallel Processing IP-Core for Image Blur Detection, Compression, and Chaotic Encryption Based on FPGA

This paper presents a 3 in 1 standalone FPGA system which can perform color image blur detection in parallel with compression and encryption. Both blur detection and compression are based on the 3-level Haar wavelet transform, which is used as a common building block to save the resources. The compression is based on performing the hard thresholding scheme followed by the Run Length Encoding (RLE)

Circuit Theory and Applications

6G: A comprehensive survey on technologies, applications, challenges, and research problems

The inherent limitations of the network keep on going to be revealed with the continuous deployment of cellular networks. The next generation 6G is motivated by these drawbacks to properly integrate important rate-hungry applications such as extended reality, wireless brain-computer interactions, autonomous vehicles, and so on. Also, to support significant applications, 6G will handle large

Software and Communications

A Novel Power-Aware Task Scheduling for Energy Harvesting-Based Wearable Biomedical Devices Using FPA

Power management and saving in energy harvesting-based biomedical wearable devices are mandatory to ensure prolonged and stable operation under a stringent power budget. Thus, power-aware task scheduling can play a key role in minimizing energy consumption to improve system durability while maintaining device functionality. This paper proposes a novel biosensor task scheduling for optimizing

Circuit Theory and Applications

A Scalable Firmware-Over-The-Air Architecture suitable for Industrial IoT Applications

This paper proposes a reliable and scalable architecture for firmware-over-the-air updates, which provides remote cloud real-time distribution of new firmware versions on industrial machines in an efficient simultaneous manner. The architecture comprises remotely interconnected software and hardware systems for handling the procedures of firmware distribution over a wireless network. The main

Circuit Theory and Applications
Software and Communications

Optimal fractional-order PI with DC-DC converter and PV system

This paper presents a design and analysis for the PV system with a DC-DC boost converter controlled by the Fractional Order PI controller (FOPI). The study includes obtaining the optimal parameters for the PV model and the operating parameters for the FOPI controller. The first part's objective function is to search a five-parameter model based on the data-sheet given by commercial PV modules for

Circuit Theory and Applications

Magnetic field effect on piezo-thermoelastic wave propagation in a half-space within dual-phase-lag

The current work is concerned with the study of wave propagation in a half-space of a piezo-thermoelastic material under a bias tangential magnetic field within dual-phase-lag (DPL). This is relevant to the design and performance of piezoelectric devices working under a bias magnetic field, for example, the DC magnetic field piezoelectric sensors widely used in various areas of technology. The

Energy and Water

A new method for parameter extraction of solar photovoltaic models using gaining–sharing knowledge based algorithm

For the solar photovoltaic (PV) system to operate efficiently, it is necessary to effectively establish an equivalent model of PV cell and extract the relevant unknown model parameters accurately. This paper introduces a new metaheuristic algorithm, i.e., gaining-sharing knowledge based algorithm (GSK) to solve the solar PV model parameter extraction problem. This algorithm simulates the process

Software and Communications

Thermoelastic wave propagation in a piezoelectric layered half-space within the dual-phase-lag model

We investigate linear, thermoelastic wave propagation in a layered piezoelectric material composed of a slab bonded to a half-space substrate of a dissimilar material, within dual-phase-lag model and under thermomechanical loads. One of the aims of the present work is to formulate a set of boundary conditions that is compatible with the field equations. Normal mode technique is used to obtain a

Energy and Water