DNNobfus: a study on obfuscation-based edge-side model protection framework by SONG Feiyang, ZHAO Xinmiao, YAN Fei, CHENG Binlin, ZHANG Liqiang, YANG Xiaolin, WANG Yang

“…The framework introduced opaque predicates, incorporated fake control flows, and embedded redundant memory access to thwart the reverse engineering efforts of model decompilers. …”
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Voix de revenants dans les Pièces pour danseurs de W.B. Yeats. L’exemple de Ce que rêvent les os by Pierre Longuenesse

“…The action that unfolds before the spectator thus becomes a projection of his imaginary landscape, the “music of the lost kingdom” of memory, brought forth by the power of utterance. In this manner the writing itself becomes the place where dreams can emerge through its capacity to conjure up things that are simultaneously shown to be absent. …”
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RUSSIA FOREIGN MINISTRY AND THE STATE DUMA DURING THE FIRST WORLD WAR by S. I. Chernyavskiy

“…In addition, the study uses elements of diachronic analysis, a comparison of the post-revolutionary and post-Soviet restructuring of diplomatic institutions in Russia, which demonstrates how deep the institutional memory can be under conditions of a consistent change in the socio-political structure.…”
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Le Carnet de campagne du colonel de Villebois-Mareuil : journal de bord d’un « volontaire » d’extrême-droite troublé by Richard Tholoniat

“…After his death in Boshof (South Africa), Villebois-Mareuil was presented by a majority of French people as a hero, honoured by a ceremony at Notre-Dame, monuments, street names, iconographic representations and books and articles in his memory. However, a reading of the Carnet de Campagne (1902) reveals a surprising questioning of the activist’s certainties and, by the same token, prompts an examination of the ‘dubious combat’ of ideologies and men in South Africa… and in France, while the remnants of his memorialisation raise questions in the era of “cancel culture”.…”
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Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning by Adil Khan, Jiang Feng, Shaohui Liu, Muhammad Zubair Asghar

“…In this paper, how the frame skipping rate influences the agent’s learning and final performance is proposed, particularly using deep Q-learning, experience replay memory, and the ViZDoom Game AI research platform. …”
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Oculomotor Plant Mathematical Model in Kalman Filter Form With Peak Velocity-Based Neural Pulse for Continuous Gaze Prediction by Dmytro Katrychuk, Dillon J. Lohr, Oleg V. Komogortsev

“…We additionally extend the prior work by evaluating the proposed model on the largest to date pool of 322 subjects against the naive zero displacement baseline and a long short-term memory (LSTM) neural network.…”
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Effectiveness of a holistic neuropsychological rehabilitation program using virtual reality by Liliana Mendes, Luís Paulo Reis, Fernando Barbosa

“…We conclude that the VR-based neuropsychological rehabilitation program (NRP) at a distance produces better cognitive results in general cognitive functioning, learning, memory, and executive functioning than the conventional face-to-face NRP. …”
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Migratory behaviour of humpback whales in the southeastern Pacific under climate change by Virginie Millien, Nicole Stafiej, Fernando Félix, Hector M. Guzman

“…We show that whales partly rely on cues they perceive in their immediate environment to initiate their southward migration, but also on their memory of oceanic conditions on their feeding grounds, timing their arrival with the complete melting of sea ice which triggers a bloom of krill in the Antarctic Ocean. …”
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Using Pneumatic Systems in the Representation of Historical Buildings Damaged in Earthquakes: The Case of Hatay by Esra İmamoğlu Yılmaz, Güray Yusuf Baş, Tayfur Emre Yavru, Semih Yılmaz

“…Since these structures represent the cultural memory of the city and its inhabitants, the renewal, reinforcement and restoration of these structures are essential. …”
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Damped weighted erasable itemset mining with time sensitive dynamic environments by Hanju Kim, Myungha Cho, Seungwan Park, Doyoung Kim, Doyoon Kim, Unil Yun

“…Performance tests show that the proposed method outperforms state-of-the-art studies in runtime with on-par or minimal compromise in memory usage and that it scales capably with varying database sizes. …”
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Multi-Modal Social Robot Behavioural Alignment and Learning Outcomes in Mediated Child–Robot Interactions by Paul Baxter

“…This behavioural alignment is facilitated by a human memory-inspired learning algorithm that adapts in real-time over the course of an interaction. …”
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Oleuropein Improves Cognitive Dysfunction and Neuroinflammation in Diabetic Rats through the PI3K/Akt/mTOR Pathway by Jianru Shang, Shan Che, Mingjie Zhu

“…Oleuropein reduced insulin resistance, spatial learning, and memory ability in diabetic rats. It also could improve oxidative stress and inflammatory response and activate the PI3K/Akt/mTOR signaling pathway in hippocampus tissues. …”
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Single cell suppression profiling of human regulatory T cells by Jonas Nørskov Søndergaard, Janyerkye Tulyeu, David Priest, Shimon Sakaguchi, James B. Wing

“…In this head-to-head comparison, we find Tregs having the clearest suppressive effects on effector memory CD8 T cells through partial division arrest, cell cycle inhibition, and effector molecule downregulation. …”
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The Reduced-Order Model for Droplet Drift of Aerial Spraying under Random Lateral Wind by Wencheng Li, Wenyun Wang, Xiaomao Huang, Chenyang Li

“…Based on the input and output dataset of CFD, the recursive algorithm including nonlinear autoregressive exogenous model and surrogate-based recurrence framework and the deep learning method for time-series prediction called long short-term memory neural network are used to build the efficient reduced-order model, respectively. …”
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A Deep Learning Filter that Blocks Phishing Campaigns Using Intelligent English Text Recognition Methods by Yonghui Tang, Fei Wu

“…In this context, the most recent approaches have taken advantage of modern neural network architectures to record hidden information at the phrase and text levels, e.g., Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNNs). …”
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Optimizing Deep Learning Acceleration on FPGA for Real-Time and Resource-Efficient Image Classification by Ahmad Mouri Zadeh Khaki, Ahyoung Choi

“…Deep learning (DL) has revolutionized image classification, yet deploying convolutional neural networks (CNNs) on edge devices for real-time applications remains a significant challenge due to constraints in computation, memory, and power efficiency. This work presents an optimized implementation of VGG16 and VGG19, two widely used CNN architectures, for classifying the CIFAR-10 dataset using transfer learning on field-programmable gate arrays (FPGAs). …”
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Hierarchical Matrices Method and Its Application in Electromagnetic Integral Equations by Han Guo, Jun Hu, Hanru Shao, Zaiping Nie

“…When applied in integral-equation- (IE-) based computational electromagnetics, H-matrices can be regarded as a fast algorithm; therefore, both the CPU time and memory requirement are reduced significantly. Its kernel independent feature also makes it suitable for any kind of integral equation. …”
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Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods by Yonghong Liu, Muhammad S. Saleem, Javed Rashid, Sajjad Ahmad, Muhammad Faheem

“…The comparison of our model (Bi‐GRU) performance with other popular models, including bidirectional long short‐term memory (Bi‐LSTM), ensemble techniques combining convolutional neural networks (CNN) and Bi‐LSTM, and CNNs, make the study more interesting. …”
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Data-driven analysis of climate impact on tomato and apple prices using machine learning by Sunghyun Yoon, Tae-Hwa Kim, Dong Sub Kim

“…The relationship between the environmental factors and fruit price with varying time lags in data-driven manner using long short-term memory (LSTM) was modeled in this study. The study empirically revealed that there are suitable time lags between the environmental factors and fruit price in the price prediction, and taking these time lags into the prediction improves the accuracy. …”
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Assessment of Future Possible Meteorological Drought for Isparta Province by Tahsin Baykal, Dilek Taylan, Özlem Terzi

“…In this study, a longshort term memory network (LSTM) method is proposed to predict drought in the long term with high accuracy. …”
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