L’impact du streaming sur l’écriture sérielle : Dark (2017-2020) et les séries à énigme by Mireille Berton

“…More broadly, puzzle series question the economic and ideological stakes of this extreme form of "Complex TV" (Mittell 2015), which encourages fan investment through various means suitable for data mining. The aim is therefore to highlight the economic impact of the digital broadcasting model, which relies both on the power of the audience's collective intelligence and on that of algorithmic computation.…”
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Sparse signal transmission under lossy wireless links based on double process of compressive sensing by Peng SUN, Gui-nan LI, Lian-tao WU, Zhi WANG

“…In resource-limited wireless sensor networks,links with poor quality hinder its large-scale applications seriously.Thanks to the inherent sparse property of signals in WSN,the framework of sparse signal transmission based on double process of compressive sensing was proposed,providing an insight into a new way of real-time,accurate and energy-efficient sparse signal transmission.Firstly,the random packet loss during transmission under lossy wireless links was modeled as a linear dimension-reduced measurement process of CS (a passive process of CS).Then,considering that a large packet was often adopted in WSN for higher transmission efficiency,a random linear dimension-reduced projection (a simple source coding operation) was employed at the sender node (an active process of CS) to prevent block data loss.Now,the raw signal could be recovered from the lossy data at the receiver node using CS reconstruction algorithms.Furtherly,according to the theory of CS reconstruction and the formula of packet reception rate in wireless communication,the minimum compression ratio and the maximum packet length allowed were obtained.Extensive simulations demonstrate that the reliability of data transmission and its accuracy,the data transmission volume,the transmission delay and energy consumption could be greatly optimized by means of proposed method.…”
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Analysis and Evaluation of Competence of Information Sources in Problems of Intellectual Data Processing by Krisilov V. A., Komleva N. O.

“…., using data mining algorithms and a statistical approach. The aim of the work is to formalize the description and analysis of the source data as a means of improving the quality of solving intellectual problems. …”
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Visual Planarization in Oil Painting Techniques in Digital Information Age by Yiping Zhang

“…This helped to analyze and solve objective problems such as the profound meaning of the objective existence in the art field and the inability to understand the emotion in it. …”
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How chatbots influence marketing by Kaczorowska-Spychalska Dominika

“…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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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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Older LGBTQ+ and blockchain in healthcare: A value sensitive design perspective by Poulsen Adam, Fosch-Villaronga Eduard

“…Most algorithms deployed in healthcare do not consider gender and sex despite the effect they have on individuals’ health differences. …”
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A spiking neural network model of model-free reinforcement learning with high-dimensional sensory input and perceptual ambiguity. by Takashi Nakano, Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya

“…Spiking neural networks provide a theoretically grounded means to test computational hypotheses on neurally plausible algorithms of reinforcement learning through numerical simulation. …”
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Translation in the Age of Artificial Intelligence: Machine Translation Markers in Journalistic Texts by Kim Lidiya, Deryabin Artem

“…After that, the authors identified the technological parameters of the translation algorithms that determined the translation quality. …”
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The Integration of Educational Robotics and Artificial Intelligence in Learning AI Concepts by Mohammed FAKIRI, Mohamed KHALDI

“…The study begins with an assessment of educational robotics as a means to involve students in hands-on activities. …”
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Assessment of food toxicology by Alexander Gosslau

“…The interest in food toxicology is evident by the dependency of humankind on nutrition by virtue of their heterotrophic metabolism. By means of modern biochemistry, molecular and cell biology, computer science, bioinformatics as well as high-throughput and high-content screening technologies it has been possible to identify adverse effects and characterize potential toxicants in food. …”
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Training a Minesweeper Agent Using a Convolutional Neural Network by Wenbo Wang, Chengyou Lei

“…The results showed that in a 6 × 6 grid with four mines, the DQN model achieved an average win rate of 93.3% (standard deviation: 0.77%), while the supervised learning method achieved 91.2% (standard deviation: 0.9%), both outperforming human players and baseline algorithms and demonstrating high intelligence. The mechanisms of the two methods in the Minesweeper task were analyzed, with the reasons for the faster training speed and more stable performance of supervised learning explained from the perspectives of means–ends analysis and feedback control. …”
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Analyse des discours à l’aide des techniques d’apprentissage automatique by لمياء خي

“…Après un prétraitement comprenant la tokenisation et la vectorisation (TF-IDF, Word2Vec, BERT), une analyse thématique et sentimentale sera menée à l'aide d'algorithmes de clustering (LDA, K-Means) et de classification supervisée (SVM, Random Forest). …”
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A Beam Steering Vector Tracking GNSS Software-Defined Receiver for Robust Positioning by Scott Burchfield, Charles Givhan, Scott Martin

“…Global navigation satellite systems are the best means of navigation for dynamic platforms. However, interference, line-of-sight blockages, and multipath are destructive to receiver operations. …”
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The influence of AI on price forecasting. The view of the academic community by Alexandra-Cristina-Daniela Ciuverca, Simona‑Vasilica Oprea

“… In the context of the impressive development of Big Data, AI algorithms have proven their efficiency in processing and analyzing large volumes of data. …”
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TEMPORALITY OF THE NARRATIVE OF CONTEMPORARY TRAVEL LITERATURE (Based on Cees Nooteboom’s work) by Olena I. Kretova, Pavlo V. Kretov

“…In the case of travel literature, the temporality of the narrative algorithmizes and structures the reception of reality, which is relevant even for such linguistic constructions that do not directly have markers of temporality, and the ability of such a narrative to configure and reconfigure formats of understanding and meanings of a work of art is emphasized both at the formal and at the content levels. …”
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Comprehensive protein datasets and benchmarking for liquid–liquid phase separation studies by Carlos Pintado-Grima, Oriol Bárcenas, Eva Arribas-Ruiz, Valentín Iglesias, Michał Burdukiewicz, Salvador Ventura

“…Moreover, we describe limitations in classical and state-of-the-art predictive algorithms by providing the most comprehensive benchmark to date. …”
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Reducing the Carbon Emissions of the Decentralized Joint Distribution Alliance by Order Allocation: A 2-Stage Approach Based on Routing Optimization and Worst-Case Estimation by Fei Bu, Lulu Sun, Meng Zhang, Dong Li

“…Joint distribution mode represents an effective means to address this issue. However, research on the joint distribution mode primarily focuses on the centralized joint distribution mode. …”
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A Super-Resolution Approach for Image Resizing of Infant Fingerprints With Vision Transformers by Joao H. P. Machado, Barbara De O. Koop, Marcelo Filipak, Marco A. C. Barbosa, Jefferson T. Oliva, Luiz Fernando Puttow Southier, Dalcimar Casanova, Marcelo Teixeira

“…Digital biometrics is one of the most widespread and reliable means of recognizing human identity. Despite being well-established for adults, digital biometrics for newborns constitutes a considerable open challenge in the literature. …”
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FBiLSTM-Attention short-term load forecasting based on fuzzy logic by Yan ZHANG, Zepeng KANG, Xiaozhi GAO, Nan YANG, Zhaolei WANG

“…Aiming at the problem of high uncertainty in power load data due to various factors, a fuzzy logic based FBiLSTM Attention short-term load forecasting model was proposed by combining the uncertainty of load data with deep learning algorithms to improve the accuracy of load forecasting. …”
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