A comprehensive review to evaluate the synergy of intelligent food packaging with modern food technology and artificial intelligence field

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: July 22, 2024

Abstract This study reviews recent advancements in food science and technology, analyzing their impact on the development of intelligent packaging within complex supply chain. Modern technology has brought about packaging, which includes sensors, indicators, data carriers, artificial intelligence. innovative helps monitor quality safety. These innovations collectively aim to establish an unbroken chain safety, freshness, traceability, from production consumption. research explores components technologies focusing key indicators like time–temperature gas freshness pathogen ensure optimal product quality. It further incorporates various types including chemical biosensors, printed electronics, electronic noses. integrates carriers such as barcodes radio-frequency identification enhance complexity functionality this system. The review emphasizes growing influence looks at new advances intelligence that are driving making it better preserving how modern technologies, especially integration, revolutionizing for quality, reduced waste, enhanced traceability.

Language: Английский

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Advances in graphene-assisted flexible substrate sensors for human motion monitoring

International Journal of Electrochemical Science, Journal Year: 2024, Volume and Issue: 19(9), P. 100760 - 100760

Published: Aug. 13, 2024

Language: Английский

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Designing the Future of Service in Technology-Driven Innovation

Advances in finance, accounting, and economics book series, Journal Year: 2025, Volume and Issue: unknown, P. 113 - 134

Published: Jan. 2, 2025

The chapter investigates advancements within the service sector, particularly focusing on leveraging technology to enhance client experiences. It comprehensively analyzes a spectrum of technological innovations, encompassing virtual reality, automation, artificial intelligence, and Internet Things, elucidating their profound impact provision across diverse industries. incorporates structured class exercise aimed at fostering creative problem-solving for delivery, promoting critical thinking, innovation, deeper understanding technology's pivotal role in shaping ecosystems. also serves real-world case study featuring Zomato, an Indian-based online food ordering delivery company, which illuminate practical challenges intricacies inherent implementing state-of-the-art methodologies. By meticulously dissecting this study, offers invaluable insights into hurdles adoption, internal organizational resistance, integration.

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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Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 21, 2025

The escalating demand for chronic disease management has presented substantial challenges to traditional methods. However, the emergence of Internet Things (IoT) and artificial intelligence (AI) technologies offers a potential resolution by facilitating more precise through data-driven strategies. This review concentrates on utilization IoT mobile sensing devices in managing major diseases such as cardiovascular diseases, cancer, respiratory diabetes. It scrutinizes their efficacy diagnosis when integrated with machine learning algorithms, ANN, SVM, RF, deep models. Through an exhaustive literature review, this study dissects how these aid risk assessment, personalized treatment planning, management. research addresses gap existing concerning application AI specific diseases. particularly demonstrates methodological novelty introducing advanced models based learning, tight frame-based methodologies real-time monitoring systems. employs rigorous examination method, which includes systematically searching relevant databases, filtering that meets inclusion exclusion criteria, adopting quality assessment tools ensure rigor selected studies. identifies biases weaknesses related data collection, algorithm selection, user interaction. platforms integrating algorithms are not only technically viable but also yield economic social advantages real-world applications. Future studies could investigate use quantum computing processing vast medical datasets novel techniques merge biosensors nanotechnology drug delivery surveillance. Furthermore, paper examines recent progress image reconstruction, emphasizing methodologies. We discuss principles, benefits, constraints methods, assessing across diverse contexts.

Language: Английский

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Internet of Things in Healthcare Research: Trends, Innovations, Security Considerations, Challenges and Future Strategy

International Journal of Intelligent Systems, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

The Internet of Things (IoT) has become a transformative force across various sectors, including healthcare, offering new opportunities for automation and enhanced service delivery. evolving architecture the IoT presents significant challenges in establishing comprehensive cyber‐physical framework. This paper reviews recent advancements IoT‐driven healthcare automation, focussing on integrating technologies such as cloud computing, augmented reality wearable devices. work examines network architectures platforms that support applications while addressing critical security privacy issues, specific threat models, attack classifications prerequisites relevant to sector. study highlights how emerging like distributed intelligence, big data analytics devices are incorporated into improve patient care streamline medical operations. findings reveal potential transform practices, particularly in‐patient monitoring, clinical decision‐making. However, concerns continue be substantial barrier. also explores implications global ehealth strategies their influence sustainable economic community growth. It proposes an innovative cooperative model mitigate risks IoT‐enabled systems. Finally, it identifies key unresolved future research IoT‐based healthcare.

Language: Английский

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Forensics and security issues in the Internet of Things

Wireless Networks, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Language: Английский

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Enhancing Agricultural Practices Through Iot And Decision Tree Analytics: A Case Study On Autonomous Irrigation Management

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 233 - 242

Published: Jan. 1, 2025

Language: Английский

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INFORMATION SYSTEMS IN HEALTH MANAGEMENT: INNOVATIONS AND CHALLENGES IN THE DIGITAL ERA

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(2), P. 14 - 25

Published: May 1, 2024

Health Information Systems (HIS) are increasingly pivotal in transforming healthcare delivery globally. This paper explores the dual aspects of HIS: innovative potentials and challenges they present. We discuss how HIS enhance management through streamlined data integration, improved diagnostic accuracy, personalized treatment plans. Despite these benefits, significant such as security, interoperability, equitable access persist, posing barriers to effective implementation systems. Through a systematic review literature, this study highlights need for tailored solutions that address underscores importance collaborative efforts among stakeholders optimize use HIS. also propose future research directions focused on improving functionality inclusivity meet global health needs better. The findings suggest while hold transformative potential, their success is contingent upon overcoming existing hurdles enhancing system capabilities support comprehensive management.

Language: Английский

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Wellness at the Heart of Healthcare

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 250 - 271

Published: April 5, 2024

This chapter explores the swift incorporation of digital technology in healthcare and delves into crucial need to cultivate consciousness inside hospitals. The significance prioritising wellbeing within practices is underscored, with a focus on promoting mindfulness, human-centred care, thorough training programmes for personnel. study examines various strategies enhancing wellness, encompassing patient-centric interventions, efficient communication methods, comprehensive wellness programmes. Hospitals may effectively leverage revolutionary capabilities uphold patient well-being as paramount concern era by placing emphasis wellness.

Language: Английский

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