Exploring Deep Computational Intelligence Approaches for Enhanced Predictive Modeling in Big Data Environments

International Journal of Computational and Experimental Science and Engineering, Journal Year: 2024, Volume and Issue: 10(4)

Published: Nov. 25, 2024

The rapid growth of big data has created a pressing need for advanced predictive modeling techniques that can efficiently extract meaningful insights from massive, complex datasets. This study explores deep computational intelligence approaches to enhance in environments, focusing on the integration learning, swarm intelligence, and hybrid optimization techniques. proposed framework employs Deep Neural Network (DNN) enhanced with Particle Swarm Optimization (PSO) Adaptive Gradient Descent (AGD) dynamic parameter tuning, leading improved learning efficiency accuracy. is evaluated real-world applications, including healthcare diagnostics, financial risk prediction, energy consumption forecasting. Experimental results demonstrate significant improvement model performance, an accuracy 97.8% precision 95.2% mean absolute percentage error (MAPE) 3.4% Additionally, approach achieves 35% reduction overhead compared traditional DNNs 28% convergence speed due optimization. work highlights potential integrating analytics achieve robust, scalable, efficient modeling. Future research will focus extending accommodate real-time streams exploring its applicability across other domains.

Language: Английский

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Probing the Effect of Business Intelligence on the Performance of Construction Projects Through the Mediating Variable of Project Quality Management

Buildings, Journal Year: 2025, Volume and Issue: 15(4), P. 621 - 621

Published: Feb. 17, 2025

Business intelligence is a new approach to helping project managers and personnel make correct, informed decisions through preparing series of analytical reports in management dashboard by analysing mining all the related data. This study aimed investigate effect business on performance construction projects Iran mediating variable quality management. In contrast prior research that has evaluated aforementioned variables isolation, current introduced comprehensive structural model interrelationships among intelligence, management, performance. employed descriptive–correlational methodology utilising equation modelling, involving sample 102 Iranian industry specialists recruited convenience sampling. Data were gathered using standardised questionnaires analysed with modelling (SEM) Smart-PLS regression analysis SPSS software. The SEM indicated significantly enhances (β = 0.534, p < 0.01) influences 0.743, positively affects 0.396, 0.01). Furthermore, exerts slight influence this relationship, indirect calculated at 0.295 direct assessed 0.534. revealed variable’s dimensions (technical managerial, financial economic, data information management) can predict performance, while technical managerial economic Implementing technologies decision-making for elevates study’s findings suggest should employ systems enhance

Language: Английский

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Enhancing Decentralized Decision-Making with Big Data and Blockchain Technology: A Comprehensive Review

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(16), P. 7007 - 7007

Published: Aug. 9, 2024

Big data and blockchain technology are coming together to revolutionize how decisions made in a decentralized way across various industries. This review looks at these technologies, along with distributed systems, can improve security, transparency, real-time processing, making decision-making more efficient informed. The integration enhances security unchangeable records, increases transparency traceability, supports analysis. However, there challenges overcome, including scalability, privacy, interoperability, regulatory compliance, high costs. By examining case studies such as Estonia’s healthcare system, IBM Walmart’s Food Trust, the Brooklyn Microgrid project, we explore practical applications benefits of combining big blockchain. Despite hurdles, finds that ongoing advancements innovative solutions technologies offer significant promise. They set drive adoption effectiveness decision-making, ultimately leading better efficiency outcomes multiple sectors.

Language: Английский

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Enhancing Decentralized Decision-Making with Big Data and Blockchain Technology. A Comprehensive Review

Published: July 25, 2024

Big Data and blockchain technology are coming together to revolutionize how decisions made in a decentralized way across various industries. This review looks at these technologies, along with distributed systems, can improve data security, transparency, real-time processing, making decision-making more efficient informed. The integration enhances security unchangeable records, increases transparency traceability, supports analysis. However, there challenges overcome, including scalability, privacy, interoperability, regulatory compliance, high costs. By examining case studies such as Estonia&#039;s healthcare system, IBM Walmart&#039;s Food Trust, the Brooklyn Microgrid project, we explore practical applications benefits of combining blockchain. Despite hurdles, finds that ongoing advancements innovative solutions technologies offer significant promise. They set drive adoption effectiveness decision-making, ultimately leading better efficiency outcomes multiple sectors.

Language: Английский

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The Implementation Strategy of Cost Control and the Construction of a Guarantee Model of Financial BPO in the Cloud Computing Environment

International Journal of Information System Modeling and Design, Journal Year: 2025, Volume and Issue: 16(1), P. 1 - 21

Published: Jan. 10, 2025

Cloud computing platform is a main direction of computer information technology development at present. In this paper, financial SMOTE algorithm, business process outsourcing, hardware, software, data and other resources such as integrated network storage infrastructure, resources, management platform, servers various service applications are adopted. According to the functions modes provided by commercial cloud computing, system architecture based on constructed. The proposed method can control cost 60%,Improve level efficiency enterprises in an all-round way, provide important decisions for enterprises' market operation, avoid operation risks time, more opportunities development.

Language: Английский

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Consumer Preferences and Supermarket Retail Dynamics

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2025, Volume and Issue: unknown, P. 337 - 374

Published: Jan. 17, 2025

it is seen that technology and innovation are two main factors, playing an important role in managing the challenges of consumer demand pattern context global market environment. From data privacy to individuality speed change, they reveal a universe opportunity waiting for business write new narrative customer experience. When corporations use applications gathered from world tech analyze, predict, respond demand, place themselves vanguard customer-oriented where only innovative wins

Language: Английский

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Mental Health and Moral Education in the Digital Age

International Journal of Web-Based Learning and Teaching Technologies, Journal Year: 2025, Volume and Issue: 20(1), P. 1 - 20

Published: Jan. 23, 2025

The rapid integration of internet technology into higher education has transformed the learning landscape, presenting both opportunities and challenges. This study focuses on critical role moral in addressing college students' mental health needs within this digital context. exposure to diverse complex online content can significantly impact psychological well-being. Moral is highlighted as a fundamental facilitator for enhancing resilience emotional stability, equipping students with necessary skills navigate world. research aims assess current state education, identify key issues, forecast future trends, while also providing an analysis effective implementation. It seeks offer theoretical insights practical recommendations improve practices ultimately fostering well-rounded individuals prepared 21st-century

Language: Английский

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Utilising Machine Learning to Optimise Financial Reporting and Compliance in Sap

Deleted Journal, Journal Year: 2025, Volume and Issue: 51, P. 14 - 22

Published: Jan. 30, 2025

The research investigates the role of machine learning in ensuring optimization financial reporting, compliance, and risk management within SAP systems. It looks at way enhances data categorization, predictive analytics, fraud detection for more accurate forecasting efficient operations. Machine analyzes vast amounts real time proactive insights, with a guarantee compliance ever-evolving regulations. study has also identified various advantages lessening errors, improving decision-making, strengthening overall integrity. This means use on systems pays off considerably while developing

Language: Английский

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Deep learning technology: enabling safe communication via the internet of things

Frontiers in Communications and Networks, Journal Year: 2025, Volume and Issue: 6

Published: Feb. 4, 2025

Introduction The Internet of Things (IoT) is a new technology that connects billions devices. Despite offering many advantages, the diversified architecture and wide connectivity IoT make it vulnerable to various cyberattacks, potentially leading data breaches financial loss. Preventing such attacks on ecosystem essential ensuring its security. Methods This paper introduces software-defined network (SDN)-enabled solution for vulnerability discovery in systems, leveraging deep learning. Specifically, Cuda-deep neural (Cu-DNN), Cuda-bidirectional long short-term memory (Cu-BLSTM), Cuda-gated recurrent unit (Cu-DNNGRU) classifiers are utilized effective threat detection. approach includes 10-fold cross-validation process ensure impartiality findings. most recent publicly available CICIDS2021 dataset was used train hybrid model. Results proposed method achieves an impressive recall rate 99.96% accuracy 99.87%, demonstrating effectiveness. model also compared benchmark classifiers, including Cuda-Deep Neural Network, Cuda-Gated Recurrent Unit, (Cu-DNNLSTM Cu-GRULSTM). Discussion Our technique outperforms existing based evaluation criteria as F1-score, speed efficiency, accuracy, precision. shows strength detection highlights potential combining SDN with learning assessment.

Language: Английский

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AI-Driven Digital Transformation and Sustainable Logistics: Innovations in Global Supply Chain Management

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

The global supply chain has progressed beyond conventional logistics, incorporating digital technology, sustainability, and automation. It involves interrelated processes that convert raw resources into finished goods. rising complexity from cross-border legislation, currency volatility, evolving market demands requires decision-making driven by AI, Big Data, This study does a Systematic Literature Review of 65 journal papers (2010–2024) to analyze developments in logistics via innovation, sustainability. In contrast models characterized static decision-making, emerging frameworks integrate AI-driven optimization, blockchain transparency, real-time data for predictive forecasting. Furthermore, autonomous freight transportation, encompassing self-driving trucks, drone-assisted last-mile delivery, hyperloop cargo systems, is transforming logistics. Findings underscore significant transformations strategy, focusing on sustainable mobility, carbon footprint mitigation, integrated analysis delineates research deficiencies proposes avenues future investigation systems management.

Language: Английский

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