Multiplex collaboration networks facilitate intricate connections among individuals, enabling multidimensional collaborations across various domains and fostering synergistic knowledge exchange. This study focuses on ...
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At its beginning, the paper briefly describes some of the main research areas at the faculty of Electrical and computerengineering. The research efforts are included in programs of Research Communities of Slovenia an...
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At its beginning, the paper briefly describes some of the main research areas at the faculty of Electrical and computerengineering. The research efforts are included in programs of Research Communities of Slovenia and the Strategy of the Technological Development of Yugoslavia. An important role in the research work is given to young researchers and students. Problems of equipment are constantly present at the faculty. The researchers are authors of numerous international scientific publications and even textbooks. Individual professors of the faculty have received distinguished national awards.
The faculty of Electrical and computerengineering in Ljubljana performs educational courses at all levels of University education in the fields of electrical and computerengineering. A structure of its programs is p...
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The faculty of Electrical and computerengineering in Ljubljana performs educational courses at all levels of University education in the fields of electrical and computerengineering. A structure of its programs is presented in the paper and the contents of different courses are outlined.
In mobile computing environments, most IoT devices connected to networks experience variable error rates and possess limited bandwidth. The conventional method of retransmitting lost information during transmission, c...
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In mobile computing environments, most IoT devices connected to networks experience variable error rates and possess limited bandwidth. The conventional method of retransmitting lost information during transmission, commonly used in data transmission protocols, increases transmission delay and consumes excessive bandwidth. To overcome this issue, forward error correction techniques, e.g., Random Linear Network Coding(RLNC) can be used in data transmission. The primary challenge in RLNC-based methodologies is sustaining a consistent coding ratio during data transmission, leading to notable bandwidth usage and transmission delay in dynamic network conditions. Therefore, this study proposes a new block-based RLNC strategy known as Adjustable RLNC(ARLNC), which dynamically adjusts the coding ratio and transmission window during runtime based on the estimated network error rate calculated via receiver feedback. The calculations in this approach are performed using a Galois field with the order of 256. Furthermore, we assessed ARLNC's performance by subjecting it to various error models such as Gilbert Elliott, exponential, and constant rates and compared it with the standard RLNC. The results show that dynamically adjusting the coding ratio and transmission window size based on network conditions significantly enhances network throughput and reduces total transmission delay in most scenarios. In contrast to the conventional RLNC method employing a fixed coding ratio, the presented approach has demonstrated significant enhancements, resulting in a 73% decrease in transmission delay and a 4 times augmentation in throughput. However, in dynamic computational environments, ARLNC generally incurs higher computational costs than the standard RLNC but excels in high-performance networks.
Rank aggregation is the combination of several ranked lists from a set of candidates to achieve a better ranking by combining information from different sources. In feature selection problem, due to the heterogeneity ...
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Skin cancer is acknowledged as the most prevalent form of cancer on a global scale. Failure to detect it in its initial phases can lead to fatality, underscoring the significance of early diagnosis. While visible to t...
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Consolidating the Internet of Things (IoT) and Software Defined Networks (SDN) has been a great concern among researchers. In IoT, Wireless Sensor Network (WSN) is important communication component. Due to the large v...
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Today, raising security awareness among users is one of the most effective preventive cybersecurity strategies. Generally, the current level of security awareness in the organization is measured through standard quest...
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In this study, a deep learning model was utilized to generate voxel-represented three-dimensional models of some objects using silhouette images of size 128 × 128 captured from four different angles. The proposed...
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In recent years, hybrid feature selection methods incorporating global–local frameworks have gained significant attention due to their advantages. Leveraging the capabilities of swarm and evolutionary algorithms, we ...
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