The significant influence of blockchain technology on contemporary financial reporting and auditing procedures is examined in this paper. rapid spread brought about a new era data management, which can completely transform the accounting ecosystem's efficiency, security, transparency. This study explores various ramifications adoption accounting, concentrating how it affects regulatory compliance, audit trail integrity, cost-effectiveness, smart contracts, accuracy. aims to clarify...

The Internet of Things (IoT) is expanding rapidly, but the security IoT devices remains a noteworthy concern due to resource limitations and existing conventions. This research investigates proposes use Light certificate with Constrained Application Protocol (CoAP) instead X509 based on traditional PKI/CA. We start by analyzing impediments current CoAP over DTLS mode CA root in constrained device suggest implementation LightCert4IoT for DTLS. paper also describes new modified handshake...

A variant of the hub location routing problem studied in this work, which is locating a set nodes, establishing hub-level network and allocating spoke nodes to nodes. As particular property problem, each cluster allocated constitutes directed route that starts from hub, visits all spokes same cluster, terminates hub. We propose hybrid hyper-heuristic relax-and-cut solution method, includes cooperation among several low-level heuristics governed controlled by learning mechanism. This...

The purpose of this paper is to investigate and identify the sets competencies that are commensurate with employability requirements. study follows a quantitative, deductive, positivist approach. A sample 62 Lebanese students majoring in management information technology systems (MIT/MIS) was selected conveniently based on participants' willingness participate. Students belonged three universities. research capitalizes survey questionnaire divided into sections. first section includes...

This paper, the second part of two, aims to provide results and findings support main objective research, i.e., assess how a selection Lebanese Universities utilizes social media platforms attract potential student candidates. Social Media in last decade has become significant recruitment adopted by universities around globe, including Lebanon, effectively recruit millennial high school graduates who are digitally proficient smart. Six were involved, so capturing recorded activity is...

first_page Download PDF settings Order Article Reprints Font Type: Arial Georgia Verdana Size: Aa Line Spacing:  Column Width:  Background: Open AccessAbstract Navigating HR 4.0: Harnessing AI for Ethical and Inclusive Transformation † by Kassem DanachKassem Danach SciProfiles Scilit Preprints.org Google Scholar 1,*, Ali El DiraniAli Dirani 2 Hasan Fayyad-KazanHasan Fayyad-Kazan 3 1 Department of Information Technology Management Systems, Faculty Business Administration, Al Maaref...

With the development of deep learning algorithms and their great success in field computer vision, automatic image colorization has witnessed significant improvements accuracy realism. This study introduces a novel learning-based method for colorizing black white photographs, utilizing powerful feature extraction InceptionResNetV2 model generative capabilities autoencoders. A custom data generator was developed efficient preprocessing, augmentation, batch processing, enhancing memory usage...

This article suggests a unique technique for multi-exposure fusion using convolutional neural networks (CNNs) patch-wise illumination estimates.Multi-exposure is crucial component of enhancing image quality, particularly in circumstances with erratic lighting.Our proposed approach makes use CNNs' capability to anticipate light levels inside specific patches order accurately change exposure levels.We look at the theoretical foundations our approach, emphasising advantages estimation capturing...

This article discusses the role of machine learning in addressing challenges Information System (IS) management today's business environment. It highlights importance data analytics, predictive maintenance, and security threat identification overcoming complexity IS management. The presents a custom framework that modifies paradigms for management, including collection, continuous monitoring, model selection, seamless integration. approach is proven effective solving problems boosting...

COVID-19 is produced by a new coronavirus called SARS-CoV-2, has wrought extensive damage. Globally, Patients present wide range of challenges, which forced medical professionals to actively seek out cutting-edge therapeutic approaches and technology advancements. Machine learning technologies have significantly enhanced the comprehension control issue. enables computers emulate human-like behavior efficiently recognizing patterns extracting valuable insights. Cognitive capacity aptitude for...

Effective data fragmentation is essential in enhancing the performance of distributed database management systems (DDBMS) by strategically dividing extensive databases into smaller fragments across multiple nodes. This study emphasizes horizontal and introduces an advanced machine learning algorithm, Red Fox Optimization-based Support Vector Machine (RFO-SVM), designed for optimizing process. The input undergoes meticulous pre-processing to address missing concerns, followed analysis through...

The swift adoption of cryptocurrencies presents significant challenges for traditional accounting frameworks. This study explores the limitations existing standards, specifically IFRS and GAAP, in effectively emphasizes need modified standards that accurately reflect unique characteristics these digital assets. Through a combination quantitative qualitative analyses, this paper highlights substantial deficiencies current practices advocates development tailored standards. Additionally, it...

The rapid evolution of image style transfer techniques, a fascinating intersection art and technology, represents significant area research in the domain computer vision machine learning. This comprehensive literature review critically examines development progression various methodologies transfer, tracing their from initial neural algorithm-based approaches to more advanced generative adversarial networks (GANs) like CycleGAN, DiscoGAN, StarGAN. By scrutinizing studies ranging foundational...

In the current era marked by rapid advancements in technology and data availability, economic sector stands poised for significant transformation facilitated generative artificial intelligence (AI). This pa- per proposes a robust framework designed to harness capabilities of AI, enabling enhanced analysis strategic decision-making address complex challenges effectively. By exploring potential AI create extensive datasets, model diverse scenarios, predict market trends, aims transform...

Telemedicine, which is the use of technologies in order to provide clinical health care at a distance, can be insufficient some cases where there need for medical instruments. This implies supplementary services that would overcome deficiencies. Thus, many techniques were proposed, one them dispatch so-called Mobile Hospital (MH). study centers around dispatching and scheduling dispatched MHs. We aim allocation MHs serve patients their locations given every patient has its priority receiving...

The service network design problems arising in liner shipping industry are very intractable problems. Several exact method proposed for such where almost all of them limited by the instance size that can be resolved. In this article, we consider problem designing multiple strings among a set ports, order to maximize profit. work, develop hyper-heuristics proposing different low level heuristics categorized as constructive, improvement, perturbation etc. guided meta-heuristic algorithm is...