Advanced Models for Predicting Student Performance in Higher Education using Machine Learning and Data Mining Techniques DOI
Brijesh Verma, Nidhi Srivastava, Ajay Kumar Bharti

et al.

Published: Dec. 6, 2024

Language: Английский

The Role of 6G Technologies in Advancing Smart City Applications: Opportunities and Challenges DOI Open Access
Sanjeev Kumar Sharma,

Renu Popli,

Sajjan Singh

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 7039 - 7039

Published: Aug. 16, 2024

The deployment of fifth-generation (5G) wireless networks has already laid the ground-work for futuristic smart cities but along with this, it also triggered rapid growth a wide range applications, example, Internet Everything (IoE), online gaming, extended/virtual reality (XR/VR), telemedicine, cloud computing, and others, which require ultra-low latency, ubiquitous coverage, higher data rates, extreme device density, ultra-high capacity, energy efficiency, better reliability. Moreover, predicted explosive surge in mobile traffic until 2030 envisioned potential use-cases/scenarios city context will far exceed capabilities 5G was designed. Therefore, there is need to harness 6th Generation (6G) capabilities, not only meet stringent requirements megacities can open up new applications. Other crucial concerns that be addressed are related network security, privacy, interoperability, digital divide, other integration issues. In this article, we examine current emerging trends implementation 6G arena. Firstly, give an inclusive comprehensive review communication technologies find use cities. discussion each technology covers its benefits, challenges future research direction. Secondly, explore promising applications these technologies, such as, grids, healthcare, waste management, etc. conclusion part, have highlighted suggestions possible directions. So, single paper, attempted provide wider perspective on 6G-enabled by including both their This paper help readers gain holistic view ascertain opportunities bring diverse, massive

Language: Английский

Citations

15

Predictive analysis-based sustainable waste management in smart cities using IoT edge computing and blockchain technology DOI

C. Anna Palagan,

S. Sebastin Antony Joe, S. A. Sahaaya Arul Mary

et al.

Computers in Industry, Journal Year: 2025, Volume and Issue: 166, P. 104234 - 104234

Published: Jan. 5, 2025

Language: Английский

Citations

1

A decentralised approach to cyber-physical systems as a service: Managing shared access worldwide through blockchain standards DOI Creative Commons

Juan Luis Ramos Villalón,

Luís de la Torre,

Zhongcheng Lei

et al.

Computers in Industry, Journal Year: 2025, Volume and Issue: 167, P. 104264 - 104264

Published: Feb. 18, 2025

Language: Английский

Citations

0

Security Challenges and Performance Trade-Offs in On-Chain and Off-Chain Blockchain Storage: A Comprehensive Review DOI Creative Commons
Haluk Eren, O. Karaduman, Muharrem Tuncay Gençoğlu

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 3225 - 3225

Published: March 15, 2025

Blockchain-based data storage methods offer strong integrity, decentralized security, and transparent access control but also face scalability challenges, high computational costs, complex management. This study provides a comprehensive review of on-chain, off-chain, hybrid architectures, analyzing their security vulnerabilities, performance trade-offs, industry-specific applications. On-chain ensures immutability, by storing directly on the blockchain; however, it is associated with transaction costs limitations. In contrast, off-chain solutions reduce enhance outside blockchain introduce risks related to integrity in environments. Hybrid approaches aim balance cost, integrating strengths both on-chain solutions. examines fundamental components blockchain-based systems, sector-specific applications, technical challenges they present. Additionally, explores trade-offs between decentralization, offering insights into optimization strategies. As result, this evaluates protocols, efficiency sustainability distributed solutions, contributing future research field.

Language: Английский

Citations

0

Optimizing smart city services by utilizing appropriate characteristics of digital twin for urban excellence DOI
Inam Ullah,

Asra Noor,

Muhammad Zahid Abbas

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 122, P. 399 - 410

Published: March 18, 2025

Language: Английский

Citations

0

The Impact of Technological Advancements on Human Resource Management Practices: Adapting to the Digital Era DOI Creative Commons
Amer Hani Al-Qassem,

Hazim Ryad Momani,

Zeyad Alkhazali

et al.

Data & Metadata, Journal Year: 2025, Volume and Issue: 4, P. 731 - 731

Published: March 19, 2025

Introduction: In today's digital era, the process of digitalization has increasingly become a significant factor for organizations striving to enhance productivity, efficiency, and competitiveness. The adoption technologies such as Artificial Intelligence (AI), automation, cloud platforms revolutionized various business operations, especially in Human Resource Management (HRM). These have been pivotal transforming HR practices by improving data management, enhancing staff training, streamlining communication processes. This research aims examine role impact on HRM practices, with focus making these processes more efficient faster age.Methods: A mixed-methods approach was adopted this research. Qualitative collected through review journals articles accessed via Google Scholar, which provided insights into broader trends technology use HRM. For quantitative data, survey conducted using Forms, targeting 200 managers across different industries, including retail, automobile, others. consisted 10 close-ended questions capture extent practices. qualitative analyzed thematic analysis, identifying recurring themes patterns responses, while processed statistical analysis SPSS tool.Results: study revealed that play vital industries. streamline key functions recruitment talent acquisition, enabling informed decision-making. Additionally, they contribute significantly automating training development processes, well performance management. Overall, essential effectiveness, strategic capabilities HRM.Conclusions: underscores critical diverse By functions, enable make decisions, reduce operational costs, improve overall performance. Organizations should continue embrace transformation remain competitive meet evolving demands workforce. findings offer valuable benefits provide foundation further exploration integration within organizations.

Language: Английский

Citations

0

An Innovative IoT Framework using Machine Learning for Predicting Information Loss at the Data Link Layer in Smart Networks DOI Open Access

Poornima Madaraje Urs,

A. Mallikarjuna Reddy, S Mallikarjunaswamy

et al.

Engineering Technology & Applied Science Research, Journal Year: 2025, Volume and Issue: 15(2), P. 20904 - 20911

Published: April 3, 2025

In smart networks, data are becoming increasingly complex, and enhancement methods required to ensure integrity reliability. This paper proposes a novel IoT framework using machine learning for the prediction mitigation of information loss at link layer, where conventional have many limitations. These cannot handle dynamic networking conditions complex traffic on any network, yielding smaller accuracy with high false positive ratio. work Machine Learning-based Information Loss Prediction Framework (ML-ILPF) algorithms such as Support Vector (SVM) Long Short-Term Memory (LSTM) networks overcome these challenges. models analyze historical network identify anomalies predict possible loss. Compared traditional methods, proposed ML-ILPF outperformed both Static Threshold-Based Methods (STBM) Basic Statistical Models (BSM) an increase 0.25% in reduction 0.30% positives. improvement shows real strength inclusion frameworks toward smarter more reliable management. is promising solution that can help DLLS improve reliability efficiency opening window resilient applications.

Language: Английский

Citations

0

Secure IoT firmware updates against supply chain attacks DOI
Benjamin Appiah, Daniel Commey,

Isaac Osei

et al.

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(5)

Published: April 4, 2025

Language: Английский

Citations

0

Blockchain-Based Medicine Supply Chain for Transparent Healthcare Tracking DOI
Rana M. Amir Latif, Muhammad Farhan, Jawad Ahmad

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 81 - 106

Published: April 30, 2025

The Medicine Supply Chain (MSC) faces critical challenges in traceability, transparency, and counterfeit prevention. This paper proposes a Blockchain-based solution using Ethereum smart contracts (developed Solidity, deployed via Truffle, tested on Rinkeby localhost networks) to enhance MSC integrity. framework introduces consumer authentication, Universal Product Code (UPC) registration, transaction logging ensure end-to-end drug traceability. By embedding multilingual UPCs (e.g., Urdu, Hindi), the system improves accessibility for diverse healthcare users, who can verify medicine authenticity QR codes or dedicated mobile app. study examines scalability managing 100K+ large evaluates shifting dynamics among stakeholders (suppliers, processors, retailers). Public Blockchain implementation demonstrates potential decentralized, tamper-proof record-keeping, though trade-offs efficiency adoption barriers persist.

Language: Английский

Citations

0

Investigating activity recognition in smart homes through embedded feature selection DOI
Brendon J. Woodford, Ahmad Ghandour

Journal of Ambient Intelligence and Humanized Computing, Journal Year: 2025, Volume and Issue: unknown

Published: May 14, 2025

Language: Английский

Citations

0