JMST Advances, Journal Year: 2024, Volume and Issue: 6(3), P. 257 - 282
Published: July 20, 2024
Language: Английский
Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(4), P. 1524 - 1541
Published: April 26, 2024
Agile development has emerged as a prominent approach in digital transformations due to its flexibility and adaptability changing requirements. This review explores the theoretical foundations practical applications of agile context transformations. Theoretical stem from iterative incremental methodologies that prioritize customer collaboration, adaptive planning, continuous improvement. principles, outlined Manifesto, emphasize individuals interactions over processes tools, working software comprehensive documentation, collaboration contract negotiation, responding change following plan. These principles are supported by various frameworks methodologies, such Scrum, Kanban, Extreme Programming (XP), which provide specific practices guidelines for implementing Practical diverse impactful. enable organizations respond quickly market demands needs, allowing faster delivery value-added products services. practices, daily stand-up meetings, sprint retrospective reviews, promote among cross-functional teams foster culture also enhances project transparency stakeholder engagement through regular demonstrations feedback loops, ensuring final product meets expectations. Overall, conceptualization is characterized enabling adapt change, deliver value, collaboration. Understanding underpinnings implications crucial seeking leverage their transformation efforts. Keywords: Conceptualizing, Development, Digital Transformation, Foundations, Applications.
Language: Английский
Citations
38
Engineering Optimization, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 47
Published: Jan. 3, 2025
Language: Английский
Citations
3
Sensors, Journal Year: 2024, Volume and Issue: 24(10), P. 3117 - 3117
Published: May 14, 2024
Digital twins aim to optimize practices implemented in various sectors by bridging the gap between physical and digital worlds. Focusing on open-field agriculture, livestock farming, forestry reviewing current applications these domains, this paper reveals multifaceted roles of twins. Diverse key aspects are examined, including twin integration maturity level, means data acquisition, technological capabilities, commonly used input output features. Through prism four primary research questions, state art twins, extent their achieved integration, an overview critical issues potential advancements provided landscape under consideration. The concludes that spite remarkable progress, there is a long way towards achieving full twin. Challenges still persist, while factor seems be expert knowledge from different stakeholders. In light constraints identified review analysis, new sector-specific definition for also suggested align with distinctive characteristics intricate biotic abiotic systems. This anticipated serve as useful reference stakeholders, enhancing awareness considerable benefits associated promoting more systematic comprehensive exploration transformative topic.
Language: Английский
Citations
15
Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: 38, P. 100577 - 100577
Published: Jan. 21, 2024
Language: Английский
Citations
9
Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 230, P. 109847 - 109847
Published: Dec. 18, 2024
Language: Английский
Citations
8
The Journal of Headache and Pain, Journal Year: 2025, Volume and Issue: 26(1)
Published: Jan. 2, 2025
Part 2 explores the transformative potential of artificial intelligence (AI) in addressing complexities headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, AI-driven drug discovery. Digital twins, as dynamic representations patients, offer opportunities for personalized management by integrating diverse datasets such neuroimaging, multiomics, sensor data to advance research, optimize treatment, enable virtual trials. In addition, devices equipped with next-generation biosensors combined multi-agent chatbots could real-time physiological biochemical monitoring, diagnosing, facilitating early attack forecasting prevention, disease tracking, interventions. Furthermore, advances discovery leverage machine learning generative AI accelerate identification novel therapeutic targets treatment strategies migraine other disorders. Despite these advances, challenges standardization, model explainability, ethical considerations remain pivotal. Collaborative efforts between clinicians, biomedical biotechnological engineers, scientists, legal representatives bioethics experts are essential overcoming barriers unlocking AI's full transforming research healthcare. This is a call action proposing frameworks AI-based into care.
Language: Английский
Citations
1
Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115257 - 115257
Published: Jan. 1, 2025
Language: Английский
Citations
1
Engineering Construction & Architectural Management, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 23, 2025
Purpose This study explores the potential of digital twin (DT) technology to enhance education and training in construction industry. It aims provide a clear understanding how DT can be applied for educational purposes proposes framework facilitate adoption training. Design/methodology/approach A systematic literature review was conducted examine current applications total 19 relevant studies were identified analysed evaluate tools, technologies, objectives integration methods used developing models sector. Based on this analysis, conceptual developed guide into education, addressing gaps practices. Findings The analysis revealed strong consensus effectiveness supporting within highlighted fragmented nature proposed comprehensive designed education. offers structured approach bridging gap between theoretical learning real-world application. Originality/value research presents new based an in-depth utilising (ETL) processes construction. provides novel process integrate knowledge with practical skills support workforce development roadmap future applications.
Language: Английский
Citations
1
The Canadian Journal of Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 26, 2025
Abstract Digital twin (DT) technology represents a significant advancement in the digital transformation of chemical process industry (CPI), offering innovative capabilities for real‐time monitoring, predictive maintenance, and optimization. This review investigates current deployment status, frameworks, architectures, applications DTs within CPI, highlighting their transformative potential improving operational efficiency, enhancing safety, promoting sustainability. By examining case studies from leaders analyzing recent advancements, this study elucidates critical roles asset health optimization, environmental performance. The identifies key components DT including data integration, hybrid modelling, analytics, which are essential effective implementation. It further explores challenges such as high computational requirements, integration with legacy systems, cybersecurity risks, lack standardization, impede widespread adoption. Despite these challenges, paper emphasizes opportunities leveraging advanced technologies artificial intelligence, edge computing, 5G connectivity to enhance scalability. In addition, underscores importance addressing global sustainability goals, mainly through ability optimize energy consumption, reduce emissions, facilitate circular economy practices. synthesizing insights academia industry, provides comprehensive understanding DTs' state future strategic directions research development. findings contribute advancing cornerstone achieving excellence, industry.
Language: Английский
Citations
1
Neurotherapeutics, Journal Year: 2025, Volume and Issue: unknown, P. e00553 - e00553
Published: Feb. 1, 2025
Alzheimer's disease (AD) presents significant challenges in drug discovery and development due to its complex poorly understood pathology etiology. Digital twins (DTs) are recently developed virtual real-time representations of physical entities that enable rapid assessment the bidirectional interaction between domains. With recent advances artificial intelligence (AI) growing accumulation multi-omics clinical data, application DTs healthcare is gaining traction. twin technology, form multiscale models patients or organ systems, can track health status real time with continuous feedback, thereby driving model updates enhance decision-making. Here, we posit an additional role for discovery, particular utility diseases like AD. In this review, discuss salient AD development, including comorbidities, difficulty early diagnosis, current high failure rate trials. We also review potential applications predicting progression, discovering biomarkers, identifying new targets opportunities repurposing, facilitating trials, advancing precision medicine. Despite hurdles area, such as integration standardization dynamic medical data issues security privacy, represent a promising approach revolutionizing
Language: Английский
Citations
1