Analysis of the Implementation of Smart Cities Initiatives in Northeast Bulgaria’s Districts

Tsonkov, Nikolay; Petrov, Kamen

doi:10.1109/infotech55606.2022.9897108

Cited by 2 publications

(4 citation statements)

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“…Some implemented methods in [1,2,5], and [7] achieved accuracy between 67% and 96%. However, these results were associated with many parameters and the processing time.…”

Section: Research Problemmentioning

confidence: 99%

“…This model outperforms the implemented approach in [1]. The research in [2] presents a method to improve image resolution using a new bi-cubic interpolation model and incorporated GANs to extract spectral and spatial features after fusing original inputs. The authors reached an average of 92% for the f-score on three utilized datasets, while the proposed framework attained 96.8% for the same performance metric on the same number of datasets.…”

Section: Related Workmentioning

confidence: 99%

“…Generative Adversarial Networks (GANs) are an unsupervised learning approach [1,2]. This approach is considered a powerful tool when dealing with distributions of complex data [1].…”

Section: Introductionmentioning

confidence: 99%

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A new light ensemble deep-learning framework to detect fire

Alsheikhy,

Shawly,

Ahmed

et al. 2023

IJITS JOURNAL

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Fires can cause devastating damage to lands, properties, and humans. Many countries suffer from huge financial losses due to these fires. Therefore, there is a need to implement a practical solution to spot fires effectively and accurately. Deep-learning algorithms and artificial intelligence have been deployed recently in various fields, such as monitoring systems, economics, and detection. This paper proposes a New Light Ensemble Deep-Learning Framework (NLEDLF). This framework consists of two deep-learning technologies, which are a New Generative Adversarial Network (NGAN) and a New Convolutional Neural Network (NCNN). These two tools are incorporated into the framework along with some image preprocessing methods to detect fires using pixels. The proposed framework achieves a reasonable.

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“…Some implemented methods in [1,2,5], and [7] achieved accuracy between 67% and 96%. However, these results were associated with many parameters and the processing time.…”

Section: Research Problemmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A new light ensemble deep-learning framework to detect fire

Alsheikhy,

Shawly,

Ahmed

et al. 2023

IJITS JOURNAL

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“…Bulgaria should adopt similar strategies by increasing investment in renewable energy resources and increasing energy efficiency in buildings and transport. Developing comprehensive urban planning that integrates green spaces and promotes public transport supports the Sustainable Development Goals(Tsonkov, N., Petrov, K., & Berberova-Valcheva, T., 2022).…”

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confidence: 99%

Innovative Approaches in the Management of Public Services in the Context of Their Application in Bulgaria

2024

JOMSA

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The article discusses various modern innovations aimed at improving the efficiency, accessibility, and quality of public services in the context of their application in Bulgaria. It explores the integration of digital technologies, the engagement of citizens in the democratic process, and the adoption of sustainable and environmentally friendly practices. Key trends include increased digitization, the use of smart urban systems, blockchain technology, and sustainable urban mobility solutions. These innovations not only enhance service delivery but also increase public trust and meet the evolving needs of society.

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Analysis of the Implementation of Smart Cities Initiatives in Northeast Bulgaria’s Districts

Cited by 2 publications

References 0 publications

A new light ensemble deep-learning framework to detect fire

A new light ensemble deep-learning framework to detect fire

Innovative Approaches in the Management of Public Services in the Context of Their Application in Bulgaria

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