ML Prediction of Global Ionospheric TEC Maps by Lei Liu, Y. Jade Morton, Yunxiang Liu

“…Abstract This paper applies the convolutional long short‐term memory (convLSTM)‐based machine learning models to forecast global ionospheric total electron content (TEC) maps with up to 24 hr of lead time at a 1‐hr interval. …”
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Le patrimoine architectural colonial dans la région du Hodna, un héritage en voie de disparition. Cas de la ville de M’sila en Algérie by Hynda Boutabba, Abdallah Farhi, Mohamed Mili

“…But for societies that have been colonized, collective memory has trouble to recognizing the colonizer’s legacy. …”
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Reprises textuelles dans The Dew Breaker d’Edwidge Danticat by Corinne Duboin

“…Combining ethics and aesthetics, temporal and textual memory, the novelist explores facts and, rather than give answers, raises difficult questions. …”
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Decoherence-free many-body Hamiltonians in nonlinear waveguide quantum electrodynamics by Aviv Karnieli, Offek Tziperman, Charles Roques-Carmes, Shanhui Fan

“…Our results pave the way towards coherent control protocols in waveguide quantum electrodynamics, with applications including quantum computing, simulation, memory, and nonclassical light generation.…”
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Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction by Neeti Sangwan, Vishal Bhatnagar

“…This mapping is achieved by a novel multi-branch child-parent Long Short Term Memory (LSTM) network. These latent features train the fused Convolutional Neural Network (CNN) with LSTM to predict the popularity of unseen videos on the trained deep learning network. …”
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How to Surgically Remove the Permanent Mesh Ring after the Onstep Procedure for Alleviation of Chronic Pain following Inguinal Hernia Repair by Stina Öberg, Kristoffer Andresen, Jacob Rosenberg

“…A specific mesh is used with a memory recoil ring in the border, which may cause pain superficial to the lateral part of the mesh for slender patients. …”
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La Première guerre carliste ou la guerre de la dernière chance : la communauté légitimiste face à son destin by Laetitia Blanchard Rubio

“…Those defenders of legitimacy aim at meeting a collective memory, the one of the defeated that would deny them the right to existence. …”
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A clinical study on cognitive dysfunction in depressed patients by Karnik Kishore, Deepanjali Medhi

“…Different cognitive domains such as attention and concentration, psychomotor speed, executive functioning, and memory have been found to be implicated. Aim: This study aimed at assessing the cognitive domains affected and severity of cognitive dysfunction in first-episode patients of the unipolar depressive episode without psychosis and to assess the correlation of association of severity of cognitive deficit with severity of depression. …”
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Por que você não coleciona selos como todo mundo? Velhice e objetos de coleção na trajetória de Urbano, O Aposentado by Leila Beatriz Ribeiro

“…On the basis of the "Urbano" strips, this article discusses the collections of "useless" objects in a context of heritage and social memory. In the various collections of "useless things", the memories evoked by the objects - many of them biographical - are mirror specular and subjective relations to the re-ordered world of "Urbano". …”
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Road Adhesion Coefficient Estimation Based on Vehicle-Road Coordination and Deep Learning by Chunjie Li, Pan Liu, Zhenlong Xie, Zhibin Li, Huan Huan

“…Then a combined model of road adhesion coefficient estimation based on self-attention (SA), convolutional neural network (CNN), and long short-term memory (LSTM) is established, to reduce the instability of the prediction, Q-learning is used to optimize the weight of the model. …”
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A Deep Neural Network-Based Fault Detection Scheme for Aircraft IMU Sensors by Yiming Zhang, Hang Zhao, Jinyi Ma, Yunmei Zhao, Yiqun Dong, Jianliang Ai

“…This scheme adopts a deep neural network with a CNN-LSTM-fusion architecture (CNN: convolution neural network; LSTM: long short-term memory). The fault detection network (FDN) developed in this paper is irrelative to aircraft model or flight condition. …”
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FractalNet-based key generation for authentication in Voice over IP using Blockchain by Vajjala Sreenivasulu, Chinthaginjala Ravikumar

“…Besides, the established FractalNet-keyGen approach attained improved performance with values of validation time, memory usage, response time, key complexity, packet loss ratio, latency, and jitter of 20.37 sec, 15.35 MB, 2.06 sec, 0.942, 1.85%, 0.302s, and 0.275s.…”
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CNN Accelerator Performance Dependence on Loop Tiling and the Optimum Resource-Constrained Loop Tiling by Chester Sungchung Park, Sungkyung Park

“…The analysis provides a useful insight into how to determine the tile sizes to achieve the required performance while avoiding an unnecessary static random access memory (SRAM) size increase. The paper also deals with the optimum resource-constrained loop tiling for CNN accelerators. …”
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Efficient Hamiltonian encoding algorithms for extracting quantum control mechanism as interfering pathway amplitudes in the Dyson series by Erez Abrams, Michael Kasprzak, Gaurav Bhole, Tak-San Ho, Herschel Rabitz

“…These new algorithms provide an exponential decrease in both computation time and memory utilization with respect to the Hilbert space dimension of the system. …”
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La mobilisation autour des « atrocités de l'ennemi », Russie 1914-1918 by Alexandre Sumpf

“…Moreover, the Commission’s "liquidation" by the Bolsheviks did not help the memory of the Great War to be properly elaborated.…”
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Possibility of critical practice in computational design: applications on boundaries between public and private space by Laurence Kimmel

“…Safeguarding the possibility of events and creative singularities in the system upholds a space for critical thinking in architecture that takes into account memory and the will for a better future.…”
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GRAiCE: reconstructing terrestrial water storage anomalies with recurrent neural networks by Irene Palazzoli, Serena Ceola, Pierre Gentine

“…In this study, we develop GRAiCE, a set of four global monthly TWSA reconstructions from 1984 to 2021 at 0.5° spatial resolution, using Long Short-Term Memory (LSTM) and Bidirectional LSTM (BiLSTM) neural networks. …”
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A Technique: Generating Alternative Thoughts by Serkan AKKOYUNLU, M. Hakan TÜRKÇAPAR

“…Despite this view, according to another cognitive perspective in a given situation, there are distinct cognitive representations competing for retrieval from memory just like positive and negative schemas. In this sense generating or strengthening alternative explanations or balanced thoughts that explain the situation better than negative automatic thoughts is one of the important process goals of cognitive therapy. …”
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Selection of Machine Learning Models for Oil Price Forecasting: Based on the Dual Attributes of Oil by Lei Yan, Yuting Zhu, Haiyan Wang

“…Then, based on the recurrent neural network (RNN) and long-term and short-term memory (LSTM) models, we build eight models for predicting the future and spot prices of international crude oil. …”
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2D Efficient Unconditionally Stable Meshless FDTD Algorithm by Kang Luo, Yun Yi, Yantao Duan, Boao Xu, Bin Chen

“…Consequently, compared with the conventional implementation, the CPU time and memory requirement can be saved greatly. The perfectly matched layer absorbing boundary condition is also extended to this approach. …”
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