Bioanalysis, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16
Published: Jan. 23, 2025
This article examines the transformative potential of blockchain technology and its integration with artificial intelligence (AI) in clinical trials, focusing on their combined ability to enhance integrity, operational efficiency, transparency data governance. Through an in-depth analysis recent advancements, highlights how AI address critical challenges, including patient privacy, regulatory compliance, security. The also identifies key barriers adoption mentioned integration, such as scalability limitations, association existing healthcare systems, high implementation costs. By presenting a comprehensive overview current research proposing strategic directions, this work emphasizes synergy between can revolutionize trials through process automation, improved stakeholder trust, robust transparency.
Language: Английский
Citations
2Addressing a decision problem through a bipolar Pythagorean fuzzy approach: A novel methodology applied to digital marketing
Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e23991 - e23991
Published: Jan. 8, 2024
Decision-making in real-world scenarios faces uncertainty. Fuzzy theory has been a means to represent such In this study, we propose an approach that incorporates bipolarity into multi-criteria decision-making processes applied digital marketing. The proposal considers both the positive and negative dimensions of data, leading better-informed decisions. Our contribution integrates Pythagorean fuzzy matrices, framework broadens utility bipolar theory. Through computational experimentation, identify most effective strategy for marketing platforms. When compared existing techniques, our shows advantages, underlining its potential improve uncertain offering insights businesses refine their strategies.
Language: Английский
Citations
9Optimizing the Economic Order Quantity Using Fuzzy Theory and Machine Learning Applied to a Pharmaceutical Framework
Mathematics, Journal Year: 2024, Volume and Issue: 12(6), P. 819 - 819
Published: March 11, 2024
In this article, we present a novel methodology for inventory management in the pharmaceutical industry, considering nature of its supply chain. Traditional models often fail to capture particularities sector, characterized by limited storage space, product degradation, and trade credits. To address these particularities, using fuzzy logic, propose that are adaptable real-world scenarios. The proposed designed reduce total costs both vendors clients, gap not explored existing literature. Our employs pentagonal number (PFN) arithmetic Kuhn–Tucker optimization. Additionally, integration naive Bayes (NB) classifier use Weka artificial intelligence suite increase effectiveness our model complex decision-making environments. A key finding is high classification accuracy model, with NB correctly categorizing approximately 95.9% scenarios, indicating an operational efficiency. This complemented capability determine optimal production quantity, cost factors related manufacturing transportation, which essential minimizing overall costs. methodology, based on machine learning enhances dynamic sectors like industry. While focus single-product scenario between suppliers buyers, future research hopes extend wider contexts, as epidemic conditions other applications.
Language: Английский
Citations
5Fuzzy rule-based intelligent cardiovascular disease prediction using complex event processing
The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(2)
Published: Jan. 20, 2025
Language: Английский
Citations
0Efficiency, optimality, and selection in a rigid actuation system with matching capabilities for an assistive robotic exoskeleton
Engineering Science and Technology an International Journal, Journal Year: 2024, Volume and Issue: 51, P. 101613 - 101613
Published: Feb. 8, 2024
Selecting the right actuator for a portable exoskeleton involves comprehensive evaluation of various design characteristics. In this study, we introduce methodology selection based on specific tasks, enhancing practical adoption exoskeletons. By examining range candidate actuators designed lower limb exoskeletons, our objective is to engineer system that both lightweight and power-efficient. These actuators, developed by integrating diverse motors transmission systems, were rigorously tested against defined tasks. Our methodology, applied an assistive catered elderly, showed its potential in tailoring efficient with matching capabilities. The obtained results indicated ideal configuration achieved reductions weight power requirements 35% 80%, respectively. present research delineates strategic approach contributing evolution high-performing devices.
Language: Английский
Citations
3Optimized design and analysis of cable-based parallel manipulators for enhanced subsea operations
Ocean Engineering, Journal Year: 2024, Volume and Issue: 297, P. 117012 - 117012
Published: Feb. 14, 2024
Language: Английский
Citations
2Modeling Residential Energy Consumption Patterns with Machine Learning Methods Based on a Case Study in Brazil
Mathematics, Journal Year: 2024, Volume and Issue: 12(13), P. 1961 - 1961
Published: June 25, 2024
Developing efficient energy conservation and strategies is relevant in the context of climate change rising demands. The objective this study to model predict electrical power consumption patterns Brazilian households, considering thresholds for use. Our methodology utilizes advanced machine learning methods, such as agglomerative hierarchical clustering, k-means self-organizing maps, identify patterns. Gradient boosting, chosen its robustness accuracy, used a benchmark evaluate performance these methods. reveals from perspectives both users providers, assessing corresponding effectiveness according stakeholder needs. Consequently, provides comprehensive empirical framework that supports strategic decision making management consumption. findings demonstrate clustering outperforms other offering more precise classification This finding aids development targeted policies enhances resource strategies. present research shows applicability analytical methods specific contexts, showing their potential shape future practices.
Language: Английский
Citations
2Fuzzy-Enhanced Secure Messaging Framework for Smart Healthcare System
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 102977 - 102993
Published: Jan. 1, 2024
The healthcare industry is exponentially growing its dependence on smart wearables and remote devices for efficient treatment diagnosis. These benefit the industry, but they raise serious security integrity concerns while exchanging data. are primarily meant data dissemination; hence, equipped with weak protocols that susceptible to attacks like distributed denial-of-service (DDoS), injection, man-in-the-middle (MiTM) attacks. To circumvent aforementioned challenges, this article proposed a secure intelligent exchange framework systems. For that, we amalgamate artificial intelligence (AI) blockchain technology strengthen of dissemination between medical devices. Further, adopted fuzzy logic extracts essential features from dataset enhance detection rate AI models. We used different algorithms such as logistic regression (LR), random forest (RF), decision trees (DT), stochastic gradient descent (SGD), Gaussian naive Bayes (GNB) classify into malicious non-malicious. predicted can still be maneuvered by adversaries introduce subtle changes skew results their advantage. Therefore, employed stores non-malicious (predicted data) tampering developed contract validates only allows them securely stored inside interplanetary file system (IPFS)-based public blockchain. evaluated considering various evaluation metrics recall, precision, accuracy, F1 score, area under curve (AUC) scalability.
Language: Английский
Citations
2Internet of Things Based Fuzzy Systems for Medical Applications: A Review
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 163883 - 163902
Published: Jan. 1, 2024
Language: Английский
Citations
2Blockchain in clinical trials: Bibliometric and network studies of applications, challenges, and future prospects based on data analytics
Computer Methods and Programs in Biomedicine, Journal Year: 2024, Volume and Issue: 255, P. 108321 - 108321
Published: July 14, 2024
Language: Английский
Citations
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