The effects of two geometric refinement strategies widespread in natural structures, chirality and self-similar hierarchy, on the in-plane elastic response two-dimensional honeycombs were studied systematically. Simple closed-form expressions derived for moduli several chiral, anti-chiral, hierarchical with hexagon square based networks. Finite element analysis was employed to validate analytical estimates moduli. results also compared numerical experimental data available literature. We...

The use of artificial intelligence (AI) is becoming more prevalent across industries such as healthcare, finance, and transportation. Artificial based on the analysis large datasets requires a continuous supply high-quality data. However, using data for AI not without challenges. This paper comprehensively reviews critically examines challenges AI, including quality, volume, privacy security, bias fairness, interpretability explainability, ethical concerns, technical expertise skills. these...

The integration of automation and process optimization within the context AI-powered digital transformation has emerged as a pivotal strategy for organizations aiming to enhance efficiency, foster innovation, competitiveness. This paper is devoted present innovative contribution by providing comprehensive structured roadmap that outlines foundational principles necessary successful optimizing processes con-text emerging AI technologies. introduce cohesive framework consisting es-sential key...

Digital transformation systems generate a substantial volume of data, creating opportunities for potential innovation, particularly those driven by artificial intelligence. This study focuses on the intricate relationship between intelligence and innovation as foundational elements in digital framework sustained growth operational excellence. provides holistic perspective cultivation pillars AI-powered highlighting their pivotal role revolutionizing industries, including healthcare,...

In an era defined by technological disruption, the integration of artificial intelligence (AI) into business processes is both strategic and challenging. As AI continues to disrupt reshape industries revolutionize processes, organizations must take proactive steps assess their readiness capabilities effectively leverage technologies. This research focuses on assessment elements required evaluate organization’s current state in preparation for AI-based digital transformation. based a...

Abstract Most conventional materials expand in transverse directions when they are compressed uniaxially resulting the familiar positive Poisson’s ratio. Here we develop a new class of two dimensional (2D) metamaterials with negative ratio that contract under uniaxial compressive loads leading to auxeticity. This is achieved through mechanical instabilities (i.e., buckling) introduced by structural hierarchy and retained over wide range applied compression. unusual behavior demonstrated...

This article develops an optimum Condition-Based Maintenance (CBM) policy for continuously monitored degrading systems with multiple failure modes. The degradation of system state is described by a stochastic process, and maintenance alarm used to signal when the reaches threshold level. Unlike existing CBM models, this considers sudden failures that can occur during system's degradation. rate corresponding each mode influenced either age system, or both. A joint model constructed...

A continuum model that possesses several desirable features of the electrical conduction process in carbon-nanotube (CNT) based nanocomposites is developed. Three basic elements are included: (i) percolation threshold, (ii) interface effects, and (iii) tunneling-assisted interfacial conductivity. We approach first one through selection an effective medium theory. second by introduction a diminishing layer with conductivity to build "thinly coated" CNT. The third introduced observation can be...

The volume of fluid (VOF) modeling method was implemented to simulate the underwater friction-stir welding (FSW) process for dissimilar joining between aluminum and steel. Temperature profile, materials flow, intermixing during bonding under cooling medium were monitored via VOF verified according experimental data. effects processing parameters on formation intermetallic compounds (IMCs) at Al/St interface, microstructural characteristics, mechanical property weldments studied addressed. By...

A compact band-notched UWB (Ultra-Wide Band) antenna with integrated Bluetooth is developed for personal wireless communication and applications. The operates at the frequency band (3.1–10.6 GHz) as well (2.4–2.484 GHz), band-notch characteristics Wireless Local Area Network (WLAN) (5–6 GHz). new technique of integrating within a analyzed. realized by utilizing conventional cylindrical radiating patch modified partial ground plane. using miniaturized resonator addition capacitors. Further,...

The use of artificial intelligence (AI) is becoming more prevalent across industries as diverse healthcare, finance, and transportation. Artificial based on the analysis large data sets requires a continuous supply high-quality data. However, using for AI not without its challenges. This paper comprehensively reviews critically examine challenges AI, including quality, volume, privacy security, bias fairness, interpretability explainability, ethical concern, technical expertise skills....

Digital transformation systems generate a substantial volume of data, creating opportunities for potential innovation, particularly those driven by artificial intelligence. This study focuses on the intricate relationship between intelligence and innovation as foundational elements in digital framework sustained growth operational excellence. provides holistic perspective cultivation pillars AI-powered highlighting their pivotal role revolutionizing industries, including healthcare,...