Les notions de fūkei, de ba et de fukkō au cœur d’un projet collectif artistique by Catherine Grout

“…This essay shows how a specific understanding of landscape (fūkei) as an agricultural landscape associated with the collective imagination, memory, and the activities related to vegetable farming enabled artist Taho Ritsuko to engage survivors of the Great Hanshin-Awaji Earthquake, which struck Osaka-Kōbe in 1995, in a movement of reconstruction and renewal (fukkō). …”
Get full text

Mémoires du Covid-19 et archives du Web : pour une analyse quantitative du dépôt légal de la BNF by Roch Delannay, Marta Severo, Louis Gabrysiak

“…The aim of this article is to explore how Web archives play a fundamental role in the construction of collective memory. From a thematic point of view, our work strives to understand how these archives offer an exceptional opportunity to study phenomena linked to Covid-19. …”
Get full text

Identity in the Black SheepAnthology by Mahzad Sheikholislami

“…Through these writings we discover an unprecedented face of immigration, which prevail difficult situations, nostalgia and hope.Therefor we shall see a different side of Italy and Italian people written by immigrants who are not only concerned about the immigration’s meaning but its effect on their world view.In factimmigration motivates them to create literature and write about their homeland and difficulties of returning to her, whilst they struggle in a cultural limbo.In this article we analyze the core theme which used by writers of this genre, namely the idea of uprooting and autobiographical memory, present in the anthology Black Sheep stories.…”
Get full text

Efficient optimisation of physical reservoir computers using only a delayed input by Enrico Picco, Lina Jaurigue, Kathy Lüdge, Serge Massar

“…Here we present an experimental validation of a recently proposed optimisation technique in which the reservoir receives both the input signal and a delayed version of the input signal. This augments the memory of the reservoir and improves its performance. …”
Get full text

New attacks against reduced Rijndael‐160 by Xiaoli Dong, Yongzhuang Wei

“…When compared with the currently known attacks, the proposed attacks have lower data, time, and memory complexities.…”
Get full text

The City as Escape Room: Place, Participation, Meaning, and Affect by Roy Hanney

“…By mirroring the practice of urban foraging, the discussion explores transmedia storytelling as a form of sympoiesis that brings into being a shared memory, a becoming-with the city for the community that resides within. …”
Get full text

Stock Price Prediction in the Financial Market Using Machine Learning Models by Diogo M. Teixeira, Ramiro S. Barbosa

“…Fundamental concepts of technical analysis are explored, such as exponential and simple averages, and various global indices are analyzed to be used as inputs for machine learning models, including Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Convolutional Neural Network (CNN), and XGBoost. …”
Get full text

A Noble Classification Framework for Data Glove Classification of a Large Number of Hand Movements by Yuhuang Zheng

“…Bidirectional Long Short-Term Memory (BiLSTM) is the main part of the DBDF network. …”
Get full text

Regard noir sur la Cité des Anges : James Ellroy by Frédéric SOUNAC

“…The « black » inquiry pattern is nothing else than a deadly quest of memory, in a self-destructive city that seems doomed to amnesia.…”
Get full text

Rekonstrukcja przejawów e-kultury dziecięcej generowanej w cyfrowej przestrzeni bycia razem. Doniesienie z badań netnograficznych by Joanna Dziekońska

“…This includes an absence of temporal and spatial boundaries of children’s culture, the mediated nature of its members’ contacts, the involvement of children in the network, the existence of culture in external memory, the electronic character of culture creations and their ephemeral and peculiar nature. …”
Get full text

LSTM-Based Time Series Prediction Model: A Case Study with YFinance Stock Data by Yu Yimiao

“…The goal of this study is to anticipate the time series of stock data that YFinance provides using a Long Short-Term Memory (LSTM) model, with a particular emphasis on the closing prices and daily returns of Apple Inc. …”
Get full text

Cinema as Testimony and Discourse for History: Film Cityscapes in Autobiographical Documentaries by Iván Villarmea Álvarez

“…These films share a similar subjective approach to portraying the decline of industrial towns through personal memories, despite their belonging to three different subgenres: the performative political documentary, the essay film and the self-fiction. …”
Get full text

Flood Forecasting for Small Reservoirs Based on Neural Networks by PENG Wei, XIONG Jiayi, JIANG Xianqun, GAO Yueming

“…In flood forecasting,empirical prediction methods report low accuracy,and traditional hydrological models face the problems of large workloads and difficult promotion when they are applied to small reservoirs.Hence,an artificial neural network (ANN) method is introduced,which is equipped with powerful feature-learning capability.It is combined with the genetic algorithm (GA) to find the optimal parameters for flood forecasting of small reservoirs as GA can realize automatic optimization of the time step and hidden-layer neuron nodes in ANN.In this way,parameter search can be targeted,and personalized flood forecasting models can be constructed for each small reservoir.In addition,the flood forecasting models based on the back propagation (BP),long short-term memory (LSTM),and gated recurrent unit (GRU) neural networks are built,and comparisons between simulations and measured data are conducted for the flood process.The results show that the LSTM model has high prediction accuracy and good stability and can learn and simulate the water-level change pattern of the actual flood process,demonstrating better prediction performance than BP and GRU models.…”
Get full text

Privacy protection system based on Hook for Android by Xiaoyan ZHU, Hui ZHANG, Jianfeng MA

“…A privacy protection system based on Hook technology was designed and implemented to address the problem of user privacy leakage caused by malicious applications in Android.The system consists of three modules:application classification module,privacy information management module and collusion attack management module.The application classification module constructs classification model by using permission feature vectors and then classifies mobile applications into malicious applications and normal applications.The privacy information management module hooks all privacy-related application programming interfaces (API) based on Hook technology and then intercepts malicious applications by returning false data or empty data.The collusion attack management module hooks all inter-application communication channels and then intercepts corresponding communication contents by using the permission rules of collusion attack.Finally,the proposed privacy protection scheme on Android virtual machine was implemented to prove and its feasibility and effectiveness were proved.In addition,the system can intercept application behaviors of breaching privacy in real time with less memory,which does not need to modify Android system and applications.…”
Get full text

A structure of persuasion in Galatians: epistolary and rhetorical appeal in an aural setting by D. Mitternacht

“…Situational passages (1:6-10; 3:1-5; 4:8-20; 5:2-12 and 6:12-13), together with recurring affirmations of Christ and Paul as embodiments of faithfulness and commitment in suffering, imprint on the aural memory of the first listeners a concern for an imitatio Christi crucifixi. …”
Get full text

The neural substrate of navigation using hydrostatic cues in goldfish by Shachar Givon, Renana Altsuler-Nagar, Ronen Segev

“…Unlike other navigational cues in the horizontal plane that usually require learning and memory to determine location, hydrostatic pressure signals the absolute position along the vertical axis. …”
Get full text

Les graffiti figuratifs, moyen d’appréhender l’identité des prisonniers de la fin du Moyen Âge by Audrey Ségard

“…Among the men of the Middle Ages who have been reduced to anonymity due to an absence or lack of written and archaeological sources, as well as a failure of memory, are the majority of those sentenced to prison. …”
Get full text

Traffic Accident Prediction Based on LSTM-GBRT Model by Zhihao Zhang, Wenzhong Yang, Silamu Wushour

“…This paper establishes a traffic accident prediction model based on LSTM-GBRT (long short-term memory, gradient boosted regression trees) and predicts traffic accident safety level indicators by training traffic accident-related data. …”
Get full text

On nonlinear fractional Hahn integrodifference equations via nonlocal fractional Hahn integral boundary conditions by Nichaphat Patanarapeelert, Jiraporn Reunsumrit, Thanin Sitthiwirattham

“…All authors Fractional Hahn differences and fractional Hahn integrals have various applications in fields where discrete fractional calculus plays a significant role, such as in discrete biological modeling and signal processing to handle systems with memory effects. In this study, the existence and uniqueness of solutions for a Riemann-Liouville fractional Hahn integrodifference equation with nonlocal fractional Hahn integral boundary conditions are investigated. …”
Get full text

Forecasting Volatility of Stock Index: Deep Learning Model with Likelihood-Based Loss Function by Fang Jia, Boli Yang

“…In this paper, we use deep neural network (DNN) and long short-term memory (LSTM) model to forecast the volatility of stock index. …”
Get full text