Financial technology, or Fintech, represents an emerging industry on the global market. With online transactions rise, use of IT for automation financial services is increasing importance. Fintech enables institutions to deliver customers worldwide a 24/7 basis. Its are often easy access and enable perform in real-time. In fact, advantages such as these make increasingly popular among clients. However, since made up information, ensuring security becomes critical issue. Vulnerabilities...

Electronic portfolios (E-portfolios) are crucial means for workplace-based assessment and feedback. Although E-portfolios provide a useful approach to view each learner's progress, so far options personalized feedback potential data about performances at the workplace often remain unexploited. This paper advocates that enhanced with learning analytics, might increase quality efficiency of in professional education. Based on 5-phased iterative design approach, an existing E-portfolio...

Abstract Models are used in both Software Engineering (SE) and Artificial Intelligence (AI). SE models may specify the architecture at different levels of abstraction for addressing concerns various stages software development life-cycle, from early conceptualization design, to verification, implementation, testing evolution. However, AI provide smart capabilities, such as prediction decision-making support. For instance, Machine Learning (ML), which is currently most popular sub-discipline...

This study evaluates the potential of generative models, trained on historical ERA5 reanalysis data, for simulating windstorms over UK. Four including a standard GAN, WGAN-GP, U-net diffusion model, and diffusion-GAN were assessed based their ability to replicate spatial statistical characteristics windstorms. Different models have distinct strengths limitations. The GAN displayed broader variability limited alignment PCA dimensions. WGAN-GP had more balanced performance but occasionally...

SQL Injection (SQLi) continues to pose a significant threat the security of web applications, enabling attackers manipulate databases and access sensitive information without authorisation. Although advancements have been made in detection techniques, traditional signature-based methods still struggle identify sophisticated injection attacks that evade predefined patterns. As SQLi evolve, need for more adaptive systems becomes crucial. This paper introduces an innovative approach leverages...

The key trends in emerging ICT integration choices for cost‐effective, flexible knowledge integration, work‐flow‐embedded evaluation and eCRM‐driven value innovation are examined. Enterprise initiatives can create socio‐technical cultural tensions as well possible straitjacketing of business process architectures thus suppressing responsive re‐engineering causing loss competitive advantage some companies. A framework, C‐assure, is presented optimising impact analysis to support throughout...

This paper describes the Context Awareness Framework developed for HYDRA Middleware Project. The project aims to develop middleware support intelligent networked embedded system based on a service-oriented architecture, deployable both new and existing networks of distributed wireless wired devices. A well (CAF) is crucial success such systems. Changing requirements dynamic environments are drivers context-aware applications. automatic execution adaptations leads successful effective...

Freezing of Gait (FOG) is a disabling symptom and movement disorder, typically associated with the latter stages Parkinson's disease. In this paper, we propose novel approach for real-time FOG, tremor monitoring fall detection, consisting 3D camera sensor based on Microsoft Kinect architecture. The system capable recognizing freezing episodes in standstill state, tremors incidents, commonly seen disease patients. case an incident, it automatically alerts relatives healthcare providers. was...

This survey starts with a general overview of the strategies for stock price change predictions based on market data and in particular Limit Order Book (LOB) data. The main discussion is devoted to systematic analysis, comparison, critical evaluation state-of-the-art studies research area movement LOB Flow are two most valuable information sources available traders markets. Academic researchers actively exploring application different quantitative methods algorithms this type predict...

Enterprise application integration (EAI) technologies provide the means to integrate strategic business solutions within and across component parts of organisational information system infrastructures. The continuing development both digitally integrated models, through various eCommerce eBusiness initiatives, has meant that importance EAI enterprise IS, increased significantly. Noting incurs not only technological but stakeholder‐level commitments, this paper outlines product a sustained...

The notion that learning can be enhanced when a teaching approach matches learner's style has been widely accepted in classroom settings since the latter represents predictor of student's attitude and preferences.As such, traditional 'one-size-fits-all' as may applied to delivery Educational Hypermedia Systems (EHSs) changed with an responds users' needs by exploiting their individual differences.However, establishing implementing reliable approaches for matching modalities styles still...

In this paper we propose a moving object detection system based on Graph Cut. Our method relies motion modelling using an optical flow algorithm and classical background subtraction module Mixture of Gaussians. The main contribution in our approach is the fusion two mask models, as well particular cost function used by Cut algorithm. experiments performed CDnet 2014 benchmark showed that has very good results scenarios such Bad Weather or PTZ, but less robust detecting small changes scene.

This research presents a novel multifunctional platform focusing on the clinical diagnosis of kidneys and their pathology (tumors, stones cysts), using "templates"-based technique. As first step, specialist clinicians train system by accurately annotating abnormalities creating "3-D golden standard models." Then, medical technicians experimentally adjust rules parameters (stored as "templates") for integrated "automatic recognition framework" to achieve results which are closest those...

The advancement of e-learning technologies has made it viable for developments in education and technology to be combined order fulfil educational needs worldwide.E-learning consists informal learning approaches emerging support the delivery skills, materials, collaboration knowledge sharing.E-learning is a holistic approach that covers wide range courses, infrastructures provide an effective environment.The Learning Management System (LMS) core entire process along with technology, content,...

Software engineering of network-centric Artificial Intelligence (AI) and Internet Things (IoT) enabled Cyber-Physical Systems (CPS) services, involves complex design validation challenges. In this paper, we propose a novel approach, based on the model-driven software paradigm, in particular domain-specific modeling methodology. We focus sub-discipline AI, namely Machine Learning (ML) delegation data analytics ML to IoT edge. This way, may increase service quality ML, for example, its...

Structured Query Language (SQL) Injection constitutes a most challenging type of cyber-attack on the security databases. SQLI attacks provide opportunities by malicious actors to exploit data, particularly client personal data. To counter these measures need be deployed at all layers, namely application layer, network and database layer; otherwise, remains vulnerable levels. Research studies have demonstrated that lack input validation, incorrect use dynamic SQL, inconsistent error handling...

Several pixel-based people counting methods have been developed over the years. Among these product of scale-weighted pixel sums and a linear correlation coefficient is popular approach. However most approaches paid little attention to resolving true background instead take all foreground pixels into account. With large crowds moving at varying speeds with presence other objects such as vehicles this approach prone problems. In paper we present method which concentrates on determining...