Environmental data in epidemic forecasting: Insights from predictive analytics DOI Creative Commons

Charles Chukwudalu Ebulue,

Ogochukwu Virginia Ekkeh,

Ogochukwu Roseline Ebulue

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(5), С. 1113 - 1125

Опубликована: Май 5, 2024

Epidemic forecasting plays a critical role in public health preparedness and response, enabling proactive measures to mitigate the impact of infectious diseases. Environmental data, encompassing factors such as temperature, humidity, air quality, geographical features, holds valuable insights for predicting identifying areas prone epidemics. This paper explores integration predictive analytics with environmental data enhance epidemic capabilities. By leveraging techniques, researchers officials can analyze identify regions at higher risk experiencing outbreaks. Through statistical modeling, machine learning algorithms, computational simulations, utilize indicators forecast likelihood spread For example, high temperatures humidity may be conducive mosquito-borne diseases, while poor quality experience increased rates respiratory infections. Case studies highlight application various contexts, including diseases tropical tracking infections urban quality. Early warning systems, informed by provide timely alerts potential threats, interventions resource allocation. While into offers significant benefits, challenges remain, availability, ethical considerations. Continued research collaboration are essential address these further effectiveness mitigating risks. In conclusion, this underscores importance forecasting, emphasizing their improve outcomes efforts face emerging climate change. Keywords: Data, Forecasting, Predictive Analytics.

Язык: Английский

Entrepreneurial leadership in startups and SMEs: Critical lessons from building and sustaining growth DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(5), С. 1441 - 1456

Опубликована: Май 4, 2024

Entrepreneurial leadership plays a pivotal role in the success of startups and small to medium-sized enterprises (SMEs) by guiding them through turbulent waters innovation, risk, growth. This review explores critical lessons learned from experiences entrepreneurial leaders building sustaining growth within these dynamic organizations. In today's competitive business landscape, SMEs face unique challenges, including limited resources, intense competition, rapid market changes. Effective entails visionary mindset, willingness take calculated risks, an ability adapt evolving circumstances. delves into fundamental elements leadership, such as vision setting, adaptability, team building, decision-making, which are essential for navigating complexities startup SME environment. Furthermore, examines strategies growth, scalability, financial management, marketing, customer acquisition, strategic partnerships. Through case studies practical examples, it illustrates how successful have implemented overcome challenges achieve sustainable Despite their potential success, also numerous regulatory hurdles, technological disruptions, globalization. By understanding embracing emerging trends, can position organizations long-term ever-changing landscape. conclusion, this underscores importance driving innovation SMEs. learning past principles aspiring chart course towards world entrepreneurship. Keywords: Leadership, Startups, SMEs, Sustaining Growth.

Язык: Английский

Процитировано

46

Data-driven strategies for business expansion: Utilizing predictive analytics for enhanced profitability and opportunity identification DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

International Journal of Frontiers in Engineering and Technology Research, Год журнала: 2024, Номер 6(2), С. 071 - 081

Опубликована: Май 5, 2024

In today's hyper-competitive business landscape, leveraging data-driven strategies is paramount for sustainable growth and profitability. This review presents an overview of the imperative role predictive analytics in facilitating expansion by enhancing profitability identifying opportunities. Predictive harnesses historical data advanced modeling techniques to forecast future trends, enabling businesses make informed decisions with precision. By understanding analytics, can effectively identify opportunities analyzing market segmenting customer bases, uncovering new markets niches. Moreover, empowers organizations enhance through optimized pricing strategies, demand forecasting, personalized marketing initiatives tailored preferences behaviors. Implementing requires building a robust infrastructure, selecting appropriate tools technologies, fostering culture within organization. Real-world case studies illustrate transformative impact on expansion, offering insights into best practices lessons learned. Despite undeniable benefits challenges such as privacy concerns, ensuring quality, organizational resistance must be addressed. However, rewards embracing decision-making far outweigh challenges, positioning competitive advantage dynamic marketplace. conclusion, this emphasizes critical driving opportunity identification. harnessing power data, unlock avenues growth, mitigate risks, stay ahead curve economy.

Язык: Английский

Процитировано

41

Leadership and management in high-growth environments: effective strategies for the clean energy sector DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(5), С. 1423 - 1440

Опубликована: Май 4, 2024

The clean energy sector stands at the forefront of global efforts to combat climate change and transition towards sustainable sources. In this rapidly evolving landscape, effective leadership management are crucial for driving innovation, managing growth, navigating complex challenges. This abstract presents an overview key strategies tailored unique demands high-growth environments within sector. Firstly, visionary is essential setting ambitious goals inspiring teams pursue innovation excellence. Leaders must possess a deep understanding market trends, technological advancements, regulatory landscapes effectively steer their organizations success. Additionally, adaptive skills necessary respond swiftly changing dynamics capitalize on emerging opportunities. Strategic plays critical role in ensuring efficient allocation resources, optimizing operations, scaling up business operations sustainably. Talent acquisition retention priorities, requiring focus attracting diverse talent fostering culture continuous learning development. Furthermore, building sustainability long-term success Companies encourage entrepreneurial thinking, foster collaboration across disciplines, prioritize environmental stewardship operations. Despite immense potential sector, companies face policy hurdles that require proactive engagement advocacy efforts. Navigating government regulations, advocating pro-renewable policies, engaging with stakeholders components space. Through case studies best practices, highlights successful models, lessons learned from industry leaders, trends shaping future By embracing these strategies, leaders can position growth contribute future. Keywords: Leadership, Management, High-Growth Environments, Clean Energy Sector.

Язык: Английский

Процитировано

39

Navigating business transformation and strategic decision-making in multinational energy corporations with geodata DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(5), С. 801 - 818

Опубликована: Май 4, 2024

In the dynamic landscape of multinational energy corporations, navigating business transformation and strategic decision-making requires innovative approaches. Geodata, encompassing spatial location-based information, emerges as a pivotal asset in this endeavor. This paper outlines integration geodata into fabric facilitating informed decisions operational excellence. The introduction elucidates significance amidst evolving paradigms within sector. It explores transformative potential geospatial intelligence fostering agility resilience, crucial attributes for corporations. Understanding delves fundamental concepts drivers reshaping industry. Drawing from case studies, it illustrates how corporations leverage shifts to adapt market dynamics emerging technologies. subsequent section emphasizes role processes. diverse applications information optimizing operations, mitigating risks, capitalizing on opportunities. Integrating processes methodologies technologies underpinning effective utilization data. underscores importance robust data management analysis techniques deriving actionable insights. Leveraging excellence optimize management, streamline supply chains, enhance risk assessment through analytics. Case studies best practices offer real-world examples successful integration, highlighting key lessons future trends. Challenges considerations encompass complexities quality, regulatory compliance, organizational change management. conclusion, shaping trajectory advocating embrace Keywords: Business Transformation, Strategic Decision-Making, Multinational Energy Corporations, Geodata.

Язык: Английский

Процитировано

35

Transforming equipment management in oil and gas with AI-Driven predictive maintenance DOI Creative Commons

Dazok Donald Jambol,

Oludayo Olatoye Sofoluwe,

Ayemere Ukato

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(5), С. 1090 - 1112

Опубликована: Май 5, 2024

The oil and gas industry faces significant challenges in managing equipment maintenance due to the complexity criticality of its assets. Traditional approaches are often reactive inefficient, leading costly downtime safety risks. However, emergence artificial intelligence (AI) predictive technologies offers a transformative solution these challenges. This paper explores role AI-driven revolutionizing management sector. leverages machine learning algorithms analyze data predict when is required before breakdown occurs. By monitoring performance real-time, AI can identify potential issues early, allowing operators take proactive actions. approach helps minimize downtime, reduce costs, improve overall reliability safety. implementation requires comprehensive strategy that includes collection, analysis, integration with existing practices. Successful adoption lead benefits for companies, including increased uptime, extended asset lifespan, enhanced operational efficiency. reviews current landscape industry, highlighting limitations traditional practices need more approach. It then examines principles maintenance, showcasing real-world examples successful implementation. Finally, discusses considerations implementing provides recommendations companies looking transform their Keywords: Transforming Equipment; Management; Oil Gas; AI-Driven; Predictive Maintenance.

Язык: Английский

Процитировано

32

Geological survey techniques and carbon storage: Optimizing renewable energy site selection and carbon sequestration DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

Open Access Research Journal of Science and Technology, Год журнала: 2024, Номер 11(1), С. 039 - 051

Опубликована: Май 5, 2024

Geological survey techniques play a crucial role in optimizing site selection for renewable energy projects and identifying suitable locations carbon storage to mitigate climate change. This abstract provides an overview of how geological can be used achieve these objectives. Renewable development, particularly solar wind power, requires careful maximize generation efficiency minimize environmental impacts. surveys are instrumental assessing factors such as subsurface geology, topography, soil composition, hydrological conditions. These help identify with optimal or resources geologic conditions infrastructure development. Additionally, essential sites storage, critical component capture (CCS) technologies aimed at reducing greenhouse gas emissions. formations, deep saline aquifers, depleted oil reservoirs, unmineable coal seams, serve reservoirs captured dioxide (CO2). characterize formations assess their suitability long-term CO2 considering porosity, permeability, sealing integrity. Optimizing comprehensive understanding geology Advanced techniques, seismic imaging, remote sensing, geophysical surveys, acquiring detailed data. enable scientists engineers suitability, evaluate risks, design effective mitigation measures. In conclusion, invaluable tools storage. By leveraging stakeholders make informed decisions that promote sustainable development the impacts

Язык: Английский

Процитировано

32

Geoscientific research's influence on renewable energy policies and ecological balancing DOI Creative Commons

Vincent Ugochukwu Oguanobi,

Oloruntosin Tolulope Joel

Open Access Research Journal of Multidisciplinary Studies, Год журнала: 2024, Номер 7(2), С. 073 - 085

Опубликована: Май 5, 2024

Geoscientific research plays a crucial role in shaping renewable energy policies and promoting ecological balance. This review explores the impact of geoscientific on its balancing. provides valuable insights into geological environmental factors that influence feasibility sustainability projects. By studying earth's processes, geoscientists can identify suitable locations for installations, assess potential risks, develop strategies to mitigate impacts. One key ways which influences is through contribution resource assessment. Geoscientists use various techniques, such as mapping, geophysical surveys, remote sensing, quantify resources, solar, wind, geothermal energy. information essential policymakers effective promote development utilization sources. Furthermore, balancing by providing impacts interactions between installations surrounding environment, risks minimize them. ensure sustainable projects while protecting environment. In conclusion, resources their impacts, help

Язык: Английский

Процитировано

31

Geological data utilization in renewable energy mapping and volcanic region carbon storage feasibility DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

Open Access Research Journal of Engineering and Technology, Год журнала: 2024, Номер 6(2), С. 063 - 074

Опубликована: Май 5, 2024

Geological data plays a crucial role in mapping renewable energy resources and assessing the feasibility of carbon storage volcanic regions. This review explores utilization geological these areas, highlighting its significance implications. is fundamental resources, such as geothermal hydroelectric energy. By analyzing structures, researchers can identify areas with high potential for sources. essential sustainable planning, it allows policymakers to prioritize regions development based on suitability. Additionally, instrumental Volcanic rocks have store dioxide through mineral carbonation, process where CO2 reacts minerals form stable carbonates. data, including rock composition, porosity, permeability, used evaluate capacity safely effectively. The region has significant implications climate change mitigation. countries reduce their dependence fossil fuels transition cleaner, more Furthermore, help mitigate impacts by sequestering emissions from industrial In conclusion, leveraging make informed decisions about

Язык: Английский

Процитировано

30

Technological innovations and optimized work methods in subsea maintenance and production DOI Creative Commons

Obinna Joshua Ochulor,

Oludayo Olatoye Sofoluwe,

Ayemere Ukato

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(5), С. 1627 - 1642

Опубликована: Май 5, 2024

Subsea maintenance and production represent critical aspects of offshore operations, vital for sustaining energy ensuring operational efficiency. However, these endeavors face numerous challenges, including the complexities deepwater environments, harsh weather conditions, high costs associated with traditional methods. To address this paper explores integration technological innovations optimized work methods in subsea operations. Technological play a pivotal role revolutionizing production. Remote monitoring control systems enable real-time data collection decision-making, enhancing visibility Autonomous underwater vehicles (AUVs) offer capability to conduct inspections repairs remote hazardous reducing human intervention risks. Robotics automation further streamline tasks, improving accuracy downtime. Advanced materials coatings enhance equipment durability corrosion resistance, prolonging asset lifecycles requirements. In parallel, strategic approaches operations' effectiveness. Predictive strategies leverage analytics machine learning anticipate failures, enabling proactive interventions minimizing Condition-based facilitates assessment health, timely cost savings. Integrated management provide holistic insights into performance facilitate informed decision-making. Lean operations continuous improvement methodologies optimize workflows, driving excellence Through case studies industry examples, highlights successful implementation Furthermore, it future trends, regulatory considerations, importance collaborations shaping Ultimately, offers pathway towards enhanced efficiency, reduced costs, sustainable Keywords: Innovations, Optimized Work Methods, Maintenance Production.

Язык: Английский

Процитировано

23

AI-enhanced healthcare management during natural disasters: conceptual insights DOI Creative Commons

Samira Abdul,

Ehizogie Paul Adeghe,

Bisola Oluwafadekemi Adegoke

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(5), С. 1794 - 1816

Опубликована: Май 21, 2024

Natural disasters often lead to significant disruptions in healthcare delivery, exacerbating the already formidable challenges faced by systems. Leveraging artificial intelligence (AI) offers a promising approach mitigate these and enhance management during after natural disasters. This conceptual paper aims propose framework for integration of AI into disaster response efforts, with focus on optimizing resource allocation, improving patient triage, enhancing overall system resilience. Through comprehensive review existing literature, this identifies gaps current practices explores potential address shortcomings. By analyzing case studies examples from previous disasters, highlights transformative impact that technologies such as predictive analytics, machine learning, robotics can have delivery crisis situations. The objectives are twofold: define strategic incorporating protocols outline expected outcomes implementing framework. Expected benefits include expedited triage processes, more accurate improved communication systems, ultimately leading better enhanced efficiency. proposed emphasizes importance interdisciplinary collaboration between professionals, technologists, policymakers, experts. It also addresses ethical considerations associated implementation settings. In conclusion, underscores critical role bolstering capabilities leveraging technologies, systems become adaptive, responsive, resilient face unforeseen challenges, saving lives minimizing communities. Keywords: AI-Enhanced Healthcare Management, Disasters, Conceptual Insights.

Язык: Английский

Процитировано

23