Digital transformation of the Russian media business in the face of uncertainty by A. M. Druzhinin

“…On the other hand, renewal and adaptation are dictated by such organisations by the external environment, while simultaneously increasing costs and risks.…”
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Visual recognition of honeybee behavior patterns at the hive entrance. by Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Gabriela Vdoviak

“…Our findings indicate that this method enhances monitoring capabilities for beekeepers while reducing the need for manual inspections, thereby minimizing disturbances to the bees. …”
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Global Navigation Satellite System Meta-Signals with an Arbitrary Number of Components by Daniele Borio

“…Global Navigation Satellite System (GNSS) meta-signals are obtained when components from different frequencies are jointly processed as a single entity. While most research work has focused on GNSS meta-signals made of two side-band components, meta-signal theory has been recently extended to the case where the number of components is a power of two. …”
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HybridBranchNetV2: Towards reliable artificial intelligence in image classification using reinforcement learning. by Ebrahim Parcham, Mansoor Fateh, Vahid Abolghasemi

“…Many artificial intelligence (AI) algorithms struggle to adapt effectively in dynamic real-world scenarios, such as complex classification tasks and object relationship extraction, due to their predictable but non-adaptive behavior. …”
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Architecture and Application-Aware Management of Complexity of Mapping Multiplication to FPGA DSP Blocks in High Level Synthesis by Sharad Sinha, Thambipillai Srikanthan

“…This paper proposes algorithms for automatically identifying the different types of multiplication operations and investigates the ensemble of these different types of multiplication operations. …”
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Effective temperature in approximate quantum many-body states by Yu-Qin Chen, Shi-Xin Zhang

“…This finding is counterintuitive for high-fidelity approximate ground states: While the total contribution from excited states can be made sufficiently small, the residual spectral weight does not decay rapidly with energy. …”
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How chatbots influence marketing by Kaczorowska-Spychalska Dominika

“…Homo Cyber Oeconomicus, one of the potential stages of ongoing consumer’s evolution, lives between processes of dehumanization of the surrounding world and humanization of digital technologies. While remaining in a constant contact with smart devices, systems and algorithms, they are looking for new values and meanings, which are a metaphor of their desires, fears and behaviors. …”
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Lightweight image super-resolution network based on muti-domain information enhancement by KOU Qiqi, LIU Gui, JIANG He, CHEN Liangliang, CHENG Deqiang

“…Extensive experimental comparisons and analyses with the existing advanced algorithms on the recognized benchmark datasets demonstrate that the proposed network model can achieve remarkable reconstruction results while enjoying a high trade-off between performance and efficiency.…”
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Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder. by Haider Al-Tahan, Yalda Mohsenzadeh

“…While vision evokes a dense network of feedforward and feedback neural processes in the brain, visual processes are primarily modeled with feedforward hierarchical neural networks, leaving the computational role of feedback processes poorly understood. …”
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Forecasting the Turkish lira Exchange Rates Through Univariate Techniques: Can the Simple Models Outperform the Sophisticated Ones? by M. R. Sarkandiz, S. Ghayekhloo

“…Therefore, the uncertainty about the rates has pushed algorithmic traders toward finding the best forecasting model. …”
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Evaluating GDPR right to information implementation in automated insurance decisions by Jakobi Timo, Arslan Salih, Harms Patrick

“…Automated decision-making algorithms are increasingly prevalent in consumer-facing industries, particularly in insurance risk assessments. …”
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Innovative novel regularized memory graph attention capsule network for financial fraud detection. by Xiangting Shi, Xiaochen Wang, Yakang Zhang, Xiaoyi Zhang, Manning Yu, Lihao Zhang

“…The findings indicate that RMGACNet routinely surpasses existing models' efficiency and accuracy while ensuring strong execution time performance, especially when handling large-scale datasets. …”
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Know your competitor! Analyzing and predicting the location of competing stores: The case study of Valora at Swiss railway stations by Thomas Wieland

“…Both Valora formats show an avoidance of each other. While Avec tends to avoid competing convenience supermarkets, this is not the case with k kiosk. …”
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Concept Drift Detection in Data Stream Mining : A literature review by Supriya Agrahari, Anil Kumar Singh

“…Online learning encounters the change in the distribution of data while extracting considerable information from data streams. …”
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Deep Clustering of Student Code Strategies Using Multi-View Code Representation (CMVAE) by Zhengting Tang, Shizhou Wang, Liangyu Chen

“…In programming education, it is common for students to submit solutions to algorithmic problems that implement the same functionality but are not labeled, making it difficult to identify which codes employ similar strategies. …”
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Successive Cohorts of Twitter Users Show Increasing Activity and Shrinking Content Horizons by Frederik Wolf, Sune Lehmann, Philipp Lorenz-Spreen

“… The global public sphere has changed dramatically over the past decades: A significant part of public discourse now takes place on algorithmically driven platforms. Despite its growing importance, there is scant large-scale academic research on the long-term evolution of user behaviour on these platforms. …”
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What factors enhance students' achievement? A machine learning and interpretable methods approach. by Hui Mao, Ribesh Khanal, ChengZhang Qu, HuaFeng Kong, TingYao Jiang

“…This study addresses these limitations by employing an ensemble of five machine learning algorithms (SVM, DT, ANN, RF, and XGBoost) to model multivariate relationships between four behavioral and six instructional predictors, using final exam performance as our outcome variable. …”
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Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus by Lulu Li, Xiaofan Guo, Shouming Wang

“…Subsequently, we applied GeNorm, NormFinder, and BestKeeper algorithms to evaluate the expression stability of these 11 reference genes. …”
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Stair Scheduling for Data Collection in Wireless Sensor Networks by Jinbiao Chen, Yongcai Wang, Yuexuan Wang, Changjian Hu

“…The results show that the performances of stair scheduling are much better than that of random scheduling algorithms.…”
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A Bibliometric Analysis of Publications on Surveillance and New Media Concepts in The Web of Science Database by Anıl Durmuşahmet

“…The study aims to identify both the density and the gaps in current research, while also offering guidance for future scholarly work. …”
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