RealtimeGen: An Intervenable AI Image Generation System for Commercial Digital Art Asset Creators DOI
Zejian Li, Ying Zhang, Shengzhe Zhou

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24

Published: Aug. 7, 2024

Recent advances in artificial intelligence-generated content (AIGC) have led to the rapid generation of high-quality images. AIGC has attracted attention commercial digital art asset creators. Traditional artist-led processes contrast with current AI tools that often reduce creators passive roles. This study examines integration image into art, emphasizing importance preserving creators' creative autonomy. Our formative (S1) involved interviews creators, highlighting a need for greater control and transparency AI-assisted painting. In response, we developed RealtimeGen, an integrated tool merges human creativity AI's capabilities, allowing intervene generative process. A user (S2) comparing RealtimeGen popular Stable Diffusion was also carried out. The results showed its enhanced experience workflow compatibility. work contributes understanding improving painting workflows offering them agency.

Language: Английский

ORAN-B5G: A Next-Generation Open Radio Access Network Architecture With Machine Learning for Beyond 5G in Industrial 5.0 DOI
Abdullah Ayub Khan, Asif Ali Laghari, Abdullah M. Baqasah

et al.

IEEE Transactions on Green Communications and Networking, Journal Year: 2024, Volume and Issue: 8(3), P. 1026 - 1036

Published: May 6, 2024

Autonomous decision-making is considered an intercommunication use case that needs to be addressed when integrating open radio access networks with mobile-based 5G communication. The robustness of innovations diminished by the conventional method designing end-to-end network solution. Through analysis these possibilities, this paper presents a machine learning-based intelligent system whose primary goal load balancing using Artificial Neural Networks Particle Swam Optimization-enabled metaheuristic optimization mechanisms for telecommunication industry requests, like product compatibility. We increase proposed system's reliability third-generation partnership project standards automate distribution transactional among various connected units. This encloses hierarchy automation enabled artificial intelligence. Conversely, AI-enabled control explores barriers next-generation intercommunication, including those after 5G. It covers deterministic latency and capabilities, physical layer-based dynamic controls, privacy security, testing applications AI-based controller designs.

Language: Английский

Citations

12
BLPCA-Ledger: A Lightweight Plenum Consensus Protocols for Consortium Blockchain Based on the Hyperledger Indy DOI
Faisal Mehmood, Abdullah Ayub Khan, Han Wang

et al.

Computer Standards & Interfaces, Journal Year: 2024, Volume and Issue: 91, P. 103876 - 103876

Published: May 28, 2024

Language: Английский

Citations

12
BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things DOI
Abdullah Ayub Khan, Jing Yang, Asif Ali Laghari

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 141, P. 109838 - 109838

Published: Dec. 13, 2024

Language: Английский

Citations

12
Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review DOI Creative Commons
Voravich Ganthavee, Antoine P. Trzcinski

Environmental Chemistry Letters, Journal Year: 2024, Volume and Issue: 22(5), P. 2293 - 2318

Published: May 21, 2024

Abstract The access to clean and drinkable water is becoming one of the major health issues because most natural waters are now polluted in context rapid industrialization urbanization. Moreover, pollutants such as antibiotics escape conventional wastewater treatments thus discharged ecosystems, requiring advanced techniques for treatment. Here we review use artificial intelligence machine learning optimize pharmaceutical treatment systems, with focus on quality, disinfection, renewable energy, biological treatment, blockchain technology, algorithms, big data, cyber-physical automated smart grid power distribution networks. Artificial allows monitoring contaminants, facilitating data analysis, diagnosing easing autonomous decision-making, predicting process parameters. We discuss advances technical reliability, energy resources management, cyber-resilience, security functionalities, robust multidimensional performance platform distributed consortium, stabilization abnormal fluctuations quality

Language: Английский

Citations

11
A Privacy-Preserving Authentication Protocol for Electric Vehicle Battery Swapping Based on Intelligent Blockchain DOI
Chien‐Ming Chen,

Qingkai Miao,

Saru Kumari

et al.

IEEE Internet of Things Journal, Journal Year: 2024, Volume and Issue: 11(10), P. 17538 - 17551

Published: Feb. 7, 2024

The Internet of Vehicles (IoV) integrates wireless, mobile networking, cloud infrastructure, IoT, and wireless sensor networks, establishing an intelligent transportation system. While electric vehicles (EVs) contribute to environmental sustainability, they encounter challenges; battery-swapping technology emerges as a viable solution. Nevertheless, concerns arise regarding data security, privacy, potential single points failure. To address these issues, we propose privacy-preserving authentication protocol based on blockchain. This ensures the security reliability storage transaction verification processes, simultaneously upholding including user anonymity untraceability. Additionally, leveraging decentralized nature blockchain, each participating node retains copy verifies it through consensus algorithms ensure its integrity credibility. Verification using Real-Oracle Random (ROR) model demonstrates both effectiveness with informal analysis confirming resilience against known attacks. Comparative underscores proposed protocol's performance advantages, placing emphasis reliability.

Language: Английский

Citations

10
A blockchain-based dynamic energy pricing model for supply chain resiliency using machine learning DOI Creative Commons
Moein Qaisari Hasan Abadi, Russell Sadeghi, Ava Hajian

et al.

Supply Chain Analytics, Journal Year: 2024, Volume and Issue: 6, P. 100066 - 100066

Published: April 3, 2024

The escalation of energy prices and the pressing environmental concerns associated with excessive consumption have compelled consumers to adopt a more optimal approach towards usage an advanced infrastructure such as smart grids. Blockchain technology significantly improves management by creating supply chain resiliency in distributed grid. This study proposes blockchain-based decision-making framework dynamic pricing model manage distributions, particularly during crisis. Empirical data from U.S. are employed show applicability proposed model. We include price elasticity address changes market prices. Findings revealed that reduces total costs performs better when disruption has occurred. provides post hoc analysis which four machine learning algorithms used predict consumption. Results suggest Autoregressive Integrated Moving Average (ARIMA) algorithm highest accuracy compared other algorithms.

Language: Английский

Citations

9
Digital forensics for the socio-cyber world (DF-SCW): A novel framework for deepfake multimedia investigation on social media platforms DOI Creative Commons
Abdullah Ayub Khan, Yen‐Lin Chen, Fahima Hajjej

et al.

Egyptian Informatics Journal, Journal Year: 2024, Volume and Issue: 27, P. 100502 - 100502

Published: July 1, 2024

Owing to the major development of social media platforms, usage technological adaptation increases by means editing software tools. Posting in communication environments has become one our common daily routines. Before posting, various generators are used manipulate pixel values, such as for enhancing brightness and contrast. Undoubtedly, this helps bring posting from ordinary outstanding. But a type crosses line terms creating fakes—anything that comes anywhere does not retain its originality anyway. It poses series issues process multimedia forensics investigation chain custody. In order restrict attempts at deep faking make hierarchy more effective, efficient, reliable socio-cyber space (SCS), paper presents novel framework called DF-SCW. A digital forensics-enabled world with artificial intelligence (AI), especially neural networks (DNNs), detecting analyzing fake investigations on platforms. compares pixels their neighboring values same (such images videos) identify information about original one. There is flag designed filter out malicious dangerous attempts, like powerful leader declaring war. Putting flags fakes investigators resist sharing posts. addition, other prospect research ecosystem appropriate take qualitative judgments real-time while uploaded The simulation proposed DF-SCW tested three different Instagram, Facebook, Twitter. Through experiment, outperformed detection, identification, analysis deepfake an increased rate 3.77%.

Language: Английский

Citations

9
The Effects of Foreign Direct Investment and Technological Innovation on Renewable Energy Consumption Under Varying Market Conditions in the EU DOI Creative Commons
Godswill Osuma, Lumengo Bonga‐Bonga

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1353 - 1353

Published: March 10, 2025

The transition to renewable energy is a critical priority for the European Union. However, roles of foreign direct investment and technological innovation in shaping consumption remain unclear. This study examines their joint influence across 20 Union countries from 2013 2023, employing Method Moments Quantile Regression capture varying effects under different market conditions. findings reveal that consistently enhances consumption, strengthening its impact 0.298 10th 0.488 90th quantile, particularly economies with robust infrastructure. FDI negatively affects all quantiles, coefficients ranging −0.00000228 −0.00000324, suggesting investments may not always align clean goals. Additionally, inflation positively influences implying rising prices drive shift toward renewables, while economic growth initially increases fossil fuel reliance before transitioning cleaner sources. study’s results emphasise need strong policy interventions ensure aligns goals continues adoption.

Language: Английский

Citations

1
Barriers to Implementing Computational Intelligence-Based Agriculture System DOI
Wasswa Shafik

Studies in computational intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 193 - 219

Published: Jan. 1, 2024

Language: Английский

Citations

6
Investigating the synergy of Blockchain and AI: enhancing security, efficiency, and transparency DOI
Mahd M. Alzoubi

Journal of Cyber Security Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29

Published: July 5, 2024

Integrating Blockchain and Artificial Intelligence can change business processes, promising improvements in Security, efficiency, transparency. This proposed research investigates the synergy between these two technologies, investigating how their convergence operations. AI's data analysis decision-making ability, coupled with Blockchain's Security transparent sharing, sets stage for innovative solutions across diverse sectors. The study aims to explore this integration's potential benefits challenges, emphasizing need further exploration development. By conducting a systematic literature review, will analyze current findings provide comprehensive insights into AI work together improve processes. investigation uses enhance capabilities through smart contract automation, analysis, decision-making, while offers secure framework seeks answer critical questions about improving networks' privacy using AI, systems' transparency accountability, network performance scalability. Beyond research, Author contribute integration literature, offering base future research.

Language: Английский

Citations

6