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Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities

One of the common cardiac disorders is a cardiac attack called Myocardial infarction (MI), which occurs due to the blockage of one or more coronary arteries. Timely treatment of MI is important and slight delay results in severe consequences. Electrocardiogram (ECG) is the main diagnostic tool to monitor and reveal the MI signals. The complex nature of MI signals along with noise poses challenges

Artificial Intelligence
Healthcare

Survey of Code Reuse Attacks and Comparison of Mitigation Techniques

Code-Reuse Attacks (CRAs) are solid mechanisms to bypass advanced software and hardware defenses. Due to vulnerabilities found in software which allows attackers to corrupt the memory space of the vulnerable software to modify maliciously the contents of the memory; hence controlling the software to be able to run arbitrary code. The CRAs defenses either prevents the attacker from reading program

Artificial Intelligence
Software and Communications
Innovation, Entrepreneurship and Competitiveness

Controlled alternate quantum walks based privacy preserving healthcare images in Internet of Things

The development of quantum computers and quantum algorithms conveys a challenging scenario for several cryptographic protocols due to the mathematical scaffolding upon which those protocols have been built. Quantum walks constitute a universal quantum computational model which is widely used in various fields, including quantum algorithms and cryptography. Quantum walks can be utilized as a

Artificial Intelligence
Healthcare
Software and Communications

Combined regional and spatio-temporal approach improves hepatic tumors classification in Multiphase CT

In this work, we investigate the effect of using spatio-tepmoral features on a regional basis on the liver focal lesions classification performance in the multiphase CT images. Texture, Density, and temporal feature set and their different combinations along spatial partitioned ROI were investigated to better characterizing five hepatic pathologies from multiphase contrast-enhanced CT scans

Artificial Intelligence
Healthcare
Software and Communications

Reliable optoelectronic switchable device implementation by CdS nanowires conjugated bent-core liquid crystal matrix

Enhancing the performance of high luminescent and dielectrically capable cadmium sulfide nanowire (CdS NW) is of great importance, because of their promising ability in analyzing the dimensionality and size. The tuned physical characteristics of semiconductor CdS NWs allowed the manipulation of both electronic and optoelectronic devices at the nanoscale by dispersing a new bent core (BC) liquid

Circuit Theory and Applications
Software and Communications

Study of Energy Harvesters for Wearable Devices

Energy harvesting was and still an important point of research. Batteries have been utilized for a long time, but they are now not compatible with the downsizing of technology. Also, their need to be recharged and changed periodically is not very desirable, therefore over the years energy harvesting from the environment and the human body have been investigated. Three energy harvesting methods

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Innovation, Entrepreneurship and Competitiveness

Dynamic Programming Applications: A Suvrvey

Dynamic programming is a mathematical optimization first invented in 1950s and lived till our times to make optimizations and reduce complexity in several different fields like bioinformatics, Electric vehicles, energy consumption, medical field and much more as a proof of being a powerful technique. In this paper, the various fields and aspects in which Dynamic programming has a significant

Artificial Intelligence

Insilico Codon Bias Correction for Transgenic Biological Protein Sequences for Vaccine Production

Codon optimization is primarily used in enhancing the levels of protein expression in the host species. Each species has its own codon usage bias, which represents the codons abundance frequency in that species. Using the host usage profile contributes to personalize the synthesis of the DNA vaccines that can achieve highly active vectors the host cells. For optimizing protein expression levels in

Healthcare

Modelling of agent-based vehicle routing problem using unified modelling language

The Vehicle Routing Problem (VRP) is among the most studied optimization problems in the field of supply chain management. Typically, VRP requires dispatching a fleet of vehicles from a central depot to deliver demand to pre-determined spatially dispersed customers, with the objective of minimizing the total routing cost, and the constraint of not exceeding vehicles' capacities. Agent Based

Software and Communications
Mechanical Design

Two-Port Network Analysis of Equal Fractional-order Wireless Power Transfer Circuit

Wireless power transfer (WPT) has been widely employed in many applications. Its advantages have added more safety and ease in various medical, industrial, and electrical applications. This paper investigates the two-port network concept in the analysis of the fractional-Order WPT circuit. A general expression for the WPT efficiency as a function of two-port network parameters is derived. It is

Circuit Theory and Applications