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Implementing Continuous Integration/Continuous Deployment (CI/CD) Pipelines For Large-Scale iOS Applications

Abstract Continuous integration and continuous deployment pipelines have become an essential component of modern software development, particularly in the process of creating large-scale iOS apps. The automation of procedures for creating, testing, and deploying is facilitated by them, which results in an increase in both the speed and reliability of the release process. The complexity and scope of the codebase, the need for rigorous testing across a broad range of

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The Impact Of Augmented Reality (AR) On User Engagement In Automotive Mobile Applications

Abstract The digital and automotive application ecosystems have been rapidly transformed by augmented reality (AR). Mobile app augmentation in the automotive sector has shown a lot of potential in terms of improving user engagement and the overall experience. Exploring the impact of augmented reality on user engagement, advantages, problems, and future possibilities in automotive mobile apps is the focus of this research. With the use of augmented reality (AR) technology

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Implementing CI/CD Pipelines In Financial Technology To Accelerate Development Cycles

Abstract The fintech industry, propelled by rapid technical advancements and fierce rivalry, requires expedited development cycles and the delivery of software of superior quality. Continuous Integration and Continuous Deployment (CI/CD) pipelines have become essential solutions for addressing these requirements, providing a systematic method to maximise efficiency and automate the software development process. The present study investigates the use of Continuous Integration/Continuous Delivery (CI/CD) pipelines within the fintech sector, with a

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Enhancing Process Re-Engineering Through RPA And Low-Code Automation In Financial Services

Abstract Process re-engineering is essential for operational excellence and competitive advantage in the fast-changing financial services industry. This strategy is being transformed by RPA and low-code automation technologies, which streamline processes, improve efficiency, and improve service delivery. This article examines how these technologies are changing financial services process re-engineering, including their practical uses, advantages, and obstacles.RPA uses software robots or “bots” to automate repetitive, rule-based operations done by humans. Data

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Enhancing Developer Productivity And User Experience Quality With Swift And SwiftUI

Abstract: iOS development frameworks have undergone fast change, which has brought to light the need for apps that are both more efficient and more performant. The advantages of switching from Objective-C to Swift are investigated in this study, with a particular emphasis placed on the use of SwiftUI for the purpose of improving the performance of iOS apps. The purpose of this research is to give developers who are interested

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Using Alteryx For Advanced Data Analytics In Financial Technology

Abstract In the dynamic realm of financial technology (FinTech), sophisticated data analytics is crucial in stimulating innovation, improving decision-making, and maximising operational efficiency. Alteryx is a strong data analytics platform that provides extensive capabilities for managing intricate financial data and producing practical insights. This study investigates the use of Alteryx in sophisticated data analytics in the FinTech industry, highlighting its revolutionary influence on data processing, predictive analytics, and business intelligence.

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Optimizing Cross-Functional Teams In Remote Work Environments For Product Development

Abstract: Remote work settings have significantly increased in the current product development landscape. This change requires a reassessment of the operational, communication, and collaborative methodologies of cross-functional teams in order to guarantee successful product results. It is crucial to optimise these teams in distant environments in order to sustain production, creativity, and cohesiveness. This study investigates methods and optimal approaches to improve the effectiveness of cross-functional teams involved in remote

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Optimizing Test Engineering With AI And Automation In Life Sciences

Abstract: Within the realm of life sciences, which is undergoing fast development, the combination of artificial intelligence (AI) and automation has emerged as a game-changer for the purpose of improving test engineering principles and procedures. The purpose of this study is to investigate the ways in which these technologies are reshaping the testing methodology used in the life sciences business. Particular attention is paid to case studies that show their

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A Comprehensive Analysis On Optimizing iOS User Experience With SwiftUI And UIKit

Abstract: Creating user experiences (UX) for iOS apps that are fluid, intuitive, and engaging has become more important as a result of the fast expansion of mobile technology. UIKit, which has been around for a long time, is being supplemented by Apple’s SwiftUI framework, which is gaining popularity to the point that it provides new opportunities to improve user experience in iOS apps. The purpose of this in-depth investigation is

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Experimental And Numerical Study Of Air Jet Impingement On Heated Cylinder

1. Introduction Jet impingement is a widely used technique to achieve higher heat transfer from a surface both for cooling and heating purposes. It offers advantages namely simplicity in construction and higher heat transfer rates. Further, the technique is cost-effective and can provide better heat removal than uniform flow. The technique is employed in numerous engineering applications including glass manufacturing, paper drying, gas turbine blades, electronic components and food processing.

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Enhancing TCP-PRN For Seamless Handoff Management In Wireless Networks Through Deep Learning And Hybrid Optimization

Abstract Handoff events, in which mobile nodes switch between various network access points, frequently result in performance degradation in wireless networks. TCP-PRN (Path Recovery Notification), a method designed to lessen the negative effects of temporary link disconnections, was developed in response to this challenge. In spite of its potential, precise handoff prediction and managing link disconnections continue to be major obstacles in actual deployment. This study introduces an improved TCP-PRN

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Enhancing Urban Safety With Automated Crime Anomaly Detection Using Ensembled Deep Learning In Smart Cities

Abstract In the context of smart cities, ensuring safety and security is paramount, and the increasing deployment of surveillance cameras presents both an opportunity and a challenge. This paper introduces an automated Crime Anomaly Detection System (CADS) that harnesses the capabilities of Deep Learning (DL) and computer vision to address this challenge. CADS follows a systematic workflow, starting with the collection of video data from smart city surveillance cameras. It

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A Review Of Integration Of Fiber Bragg Grating Sensors In The Fourth Industrial Revolution (FBG-4IR)

Abstract Review of the Fiber Bragg Grating (FBG) sensor technology’s state-of-the-art. In the past three decades, FBG sensors have drawn a lot of attention because of their key benefits, which include immunity to electromagnetic interference, lightweight, compact size, high sensitivity, huge operation bandwidth, and excellent multiplexing capabilities. Temperature and strain are the two most extensively researched sense physical variables. This paper focuses on the operation of fiber bracket grating sensors

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A Multi-Core-Multi Objective Based Artificial Intelligence With A Hybrid Meta-Heuristic Based Core Prediction And Resource Allocation

Abstract Asymmetric Multicore Processors (AMP) are becoming used in both advanced and basic computing systems due to their fundamental flexibility and outstanding computing possibilities. Among the subcategories of AMP, Performance Asymmetric Multicore (PAM) Architectures are unique in that they include various micro-architecture cores into a single chip. Nevertheless, the complex interplay between heterogeneous cores and a diverse range of applications presents a formidable challenge in determining the optimal hardware configuration,

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Opportunities And Benefits Of Artificial Algorithms

3.1 Introduction Artificial Intelligence (AI) refers to the emulation of human cognitive abilities in machines imbued with the capacity to engage in logical thinking and exhibit behaviours reminiscent of those displayed by humans. This encompasses the creation of algorithms and computer programs that possess the capability to execute activities which generally necessitate human intellect (Strong, 2016) (Davenport, 2018), including visual cognition, speech identification, decision-making, and linguistic translation. AI harbours the

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A Multi-Level Fuzzy Aware Denoising Technique With A Gradiant Enhanced Convolution Network With Dual Level Classifier For Detecting And Classifying Psoriasis Disease

Abstract Skin disorders have a reduced mortality rate than other diseases, but because they cause sensations like pain, discomfort, and itching, they have a bigger influence on quality of life. One of the common skin conditions that is immune-mediated and chronically inflammatory is psoriasis. According to estimates, 1.8 billion individuals worldwide have some kind of skin illness. Proper examination at the right time helps better. There are various methods in

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Decentralizing Power Generation With Solar Photovoltaic Technology

1.1 Introduction of Solar PV Systems The popularity of renewable energy sources (RES) in electricity generation is diminishing due to the reducing global demand for electricity. RES facilitates the mitigation of global warming and the transition of the conventional electricity grid from a centralized generation system to a decentralized distributed electricity system, incorporating distributed energy resources [1]. The goal of this system is to allow consumers to actively engage in

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AI in Digital Marketing: Enhancing Analytics and Decision-Making

In the dynamic realm of Digital Marketing, data holds paramount importance. Businesses rely on information to comprehend their customers, evaluate the performance of their advertising and marketing campaigns, and make informed decisions. However, with the sheer amount of statistics available, studying it manually may be overwhelming. This is wherein AI in Digital Marketing comes into play. By leveraging Artificial Intelligence, organizations can enhance their analytics and choice-making strategies, fundamental to

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Preparation And Application Of Foamed Adjustable Ceramic Plate Materials In Interior Art Design

Abstract: This study investigates the fabrication of foamed adjustable ceramic plate materials in interior art design and the effects of density, compressive strength, and thermal conductivity on application. Generally, Foamed ceramics have gained increasing attention for their unique combination of aesthetic appeal and functional versatility. The need for innovative applications of these materials in interior art design, including decorative wall panels, sculptures and spatial elements, has increased. There is a

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Adaptive Control Of Grid Integrated Photovoltaic Using Recurrent Neural Network

4.1 Introduction Solar energy is a readily available and cost-free source of energy, recognized for its cleanliness and abundant nature, making it a prominent renewable energy choice globally. Many countries have embraced large-scale solar photovoltaic (PV) installations to mitigate the environmental harm and carbon emissions linked to fossil fuels.[1] Nevertheless, the fluctuating nature of solar energy resources poses challenges for effectively managing the electrical grid as solar energy penetration increases.

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