Analyzing Urban Expansion and Land Use Dynamics in Bagua Grande and Chachapoyas Using Cloud Computing and Predictive Modeling

Barboza, Elgar; Turpo, Efrain Y.; Lopez, Rolando Salas; Silva-López, Jhonsy O.; Cruz, Juancarlos; Vásquez, Héctor V.; Purohit, Sanju; Aslam, Muhammad; Tariq, Aqil

doi:10.1007/s41748-024-00470-5

Earth Syst Environ

2024

DOI: 10.1007/s41748-024-00470-5

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Analyzing Urban Expansion and Land Use Dynamics in Bagua Grande and Chachapoyas Using Cloud Computing and Predictive Modeling

Elgar Barboza,

Efrain Y. Turpo,

Rolando Salas Lopez

et al.

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Cited by 3 publications

References 70 publications

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Analysis of Malware Detection Using Various Machine Learning Approach

Vishal Borate,

Dr. Alpana Adsul,

Aditya Gaikwad

et al. 2024

IJARSCT

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The number one goal of this research is to decorate existing methodologies for malware detection via developing a robust and scalable version that robotically identifies malware via the analysis of difficult styles inside both records and code, moving beyond traditional signature-primarily based methods. constructing on previous studies that have efficaciously implemented more than a few devices getting to know techniques, this technique will integrate each supervised and unsupervised studying algorithm. especially, category strategies consisting of choice bushes, random forests, and help vector machines, which have validated accuracies starting from 85% to 95%, could be utilized along superior deep getting to know frameworks, which includes neural networks, which have said accuracies exceeding 96% in positive contexts. by means of education these fashions on an in depth and various dataset that consists of both benign and malicious files, this study aims to improve the version's generalization abilities, consequently allowing it to efficiently perceive new, previously unknown malware variants. The overall performance of the proposed model can be rigorously evaluated against installed benchmarks and metrics, consisting of accuracy, precision, bear in mind, and the false tremendous fee, making sure its efficacy in actual-time malware detection eventualities. This multifaceted technique not best seeks to develop the sphere of cybersecurity but also builds on the foundational paintings of others, offering a greater adaptive and proactive way of malware identification that aligns with present day developments in gadget studying and cybersecurity studies

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Analysis of Malware Detection Using Various Machine Learning Approach

Vishal Borate,

Dr. Alpana Adsul,

Aditya Gaikwad

et al. 2024

IJARSCT

View full text Add to dashboard Cite

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Climate Change Adaptation and Resource Resilience in Semi-Arid Regions: Strategies, Challenges, and Case Studies

Rathore

2024

J. Res. Appl. Sci. Biotechnol.

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Semi-arid regions face unique climate change challenges that threaten local ecosystems, agriculture, and water resources. This review explores climate adaptation strategies, resource resilience practices, and policy interventions tailored to semi-arid ecosystems, with a focus on Rajasthan, India, as a representative region. Key strategies include sustainable water resource management, soil conservation, and climate-smart agriculture. Through case studies and a comparative global analysis, this review underscores the importance of blending traditional and modern practices to enhance resilience and advocates for policy and technological innovation to support sustainable adaptation. Insights gained from this review may serve as a foundation for adaptation strategies applicable to other semi-arid regions globally.

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Integrative Approaches to Climate Change, Urban Expansion, and Sustainable Development: A Global and Interdisciplinary Review

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2024

J. Res. Appl. Sci. Biotechnol.

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This review paper synthesizes findings on the intersection of climate change, urban expansion, demographic transitions, and sustainable development. Using an interdisciplinary approach, this work examines case studies from diverse geographies to explore how rapid urbanization, environmental stress, and technological innovations impact global ecosystems. Our review covers climate-induced migration, land-use changes, groundwater depletion, and sustainable development practices, advocating for integrated policy solutions that align with ecological preservation and social resilience. The findings underscore the need for innovative urban planning, predictive modeling, and community-driven conservation to address complex global challenges.

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Analyzing Urban Expansion and Land Use Dynamics in Bagua Grande and Chachapoyas Using Cloud Computing and Predictive Modeling

Cited by 3 publications

References 70 publications

Analysis of Malware Detection Using Various Machine Learning Approach

Analysis of Malware Detection Using Various Machine Learning Approach

Climate Change Adaptation and Resource Resilience in Semi-Arid Regions: Strategies, Challenges, and Case Studies

Integrative Approaches to Climate Change, Urban Expansion, and Sustainable Development: A Global and Interdisciplinary Review

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