Enhancement of Breast Cancer Classification Using Bat Feature Selection with Recurrent Deep Learning by Ali Nafaa Jaafar

“…This paper compared three types of recurrent deep learning models, including recurrent neural networks (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU), for classification of breast cancer. …”
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Broken Wire Detection System for PCCPs Based on Raspberry Pi and Deep Learning by SUN Xuechao, ZHANG Youyuan, ZHU Jinxiang, WANG Ping, YIN Da

“…The raspberry pi was used as the core of the main control system to collect data, and then the long short-term memory (LSTM) network model trained in advance on the PC platform was imported. …”
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Log-Less Metadata Management on Metadata Server for Parallel File Systems by Jianwei Liao, Guoqiang Xiao, Xiaoning Peng

“…As the client file system backs up certain sent metadata requests in its memory, the overhead for handling these backup requests is much smaller than that brought by the metadata server, while it adopts logging or journaling to yield highly available metadata service. …”
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Orality in War Novels: Different Aspects of Swear Words in Henri Barbusse’s and Ahmadou Kourouma’s works by Joanna Kotowska-Miziniak

“…Leaving aside its linguistic, geographical or historical particularities, the language of combatants from different countries crosses borders and acquires a universal dimension, as the bearer of the collective memory of the tumultuous twentieth century. …”
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Form and Function of Sleep Spindles across the Lifespan by Brittany C. Clawson, Jaclyn Durkin, Sara J. Aton

“…Across various developmental windows, spindle activity is correlated with general cognitive aptitude, learning, and memory; however, these correlations vary in strength, and even direction, depending on age and metrics used. …”
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Improved DFA algorithm based on multi-dimensional finite automata by ONGYang-yang G, IUQin-rang L, ANGZhen-xi Y, HAOXiang-yu S, INGChi-qiang X, IAOHui-juan J, ENGZhi-bin P

“…Compiling multiple regular expression signatures into a combined DFA can blowup in state and storage space.Explanations from the prospective of information theory and multi-dimensional mathematical model were proposed fo-cusing on the most serious state explosion.Redundancy states were divided into zero-dimensional ones and one-dimensional ones.The former were compressed by dimension,and the later were dynamically built.The space com-plexity of the model came to the theoretical lower bound by the above methods.Then the multi-dimensional finite auto-mata (MFA) was proposed with the model.Experiments show that,the construction time taken by MFA is slightly less than XFA and is 2～3 orders of magnitude lower than DFA,STT redundancy compression algorithms and Hybrid-FA; the memory space of MFA is slightly higher than XFA,but is 1～2 orders of magnitude lower than DFA,STT redundancy compression algorithms,mDFA and Hybrid-FA; in the aspect of matching time,MFA ranks after DFA and Hybrid-FA,but ranks before XFA,and it achieves 1～2 orders of magnitude lower than that of STT redundancy compression algo-rithms and mDFA.…”
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Intrinsic Mixed-State Topological Order by Zijian Wang, Zhengzhi Wu, Zhong Wang

“…The resulting mixed states retain long-range entanglement, which manifests in the nonzero topological entanglement negativity, though the topological quantum memory is destroyed by decoherence. By comparison with the gapless spin liquid in pure states, we show that the identified states represent a novel intrinsic mixed-state topological order, which has no counterpart in pure states. …”
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Real‐time recognition of human motions using multidimensional features in ultrawideband biological radar by Jinxiao Zhong, Liangnian Jin, Qiang Mao

“…A multidimensional features long short‐term memory (LSTM) neural network model is presented using multibranch network structure and high‐dimensional radar feature fusion, which can recognise motions of human in real time, even in the presence of occlusions. …”
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Deep learning-based method for mobile social networks with strong sparsity for link prediction by HE Yadi, LIU Linfeng

“…This method was designed to employ a combination of a Graph Auto-Encoder (GAE), feature matrix aggregation, and multi-layer long short-term memory networks (LSTM). It aimed to reduce the learning cost of the model, process high-dimensional and nonlinear network structures more effectively, and capture the temporal dynamics within mobile social networks, thereby enhancing the model’s predictive capability for the generation of existing links. …”
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Handover algorithm for space-air-ground integrated network based on location prediction model by XIE Jianli, CHEN Long, ZHANG Zepeng, LI Cuiran

“…The algorithm constructed a long short-term memory (LSTM) network terminal location prediction model optimized based on the sparrow search strategy, improving the accuracy of terminal location prediction and resolving the issue of unreasonable handover timing. …”
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Seismic Response and Evaluation of SDOF Self-Centering Friction Damping Braces Subjected to Several Earthquake Ground Motions by Jong Wan Hu, Myung-Hyun Noh

“…The self-centering friction damping brace members consist of core recentering components fabricated with superelastic shape memory alloy wires and energy dissipation devices achieved through shear friction mechanism. …”
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Positive Kinematics Analysis of 3-RRR Spherical Parallel Robot by lin Zhang, Xuxia Guo, Gemeng Shi, Lansheng Jia, li Wang

“…The constraint equation is proceed subtly by a clever variable, which reduced the data in the symbolic operation of MATLAB, solved the problem that the effective results could not be obtained when the operation exceeded the computer memory, and the positive closed equation of the robot is established. …”
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Exploring EFL students’ preferences and practices of study strategies: repeated reading versus testing by Sameer Aljabri

“…Teachers need to educate students that retrieval practice strategies aid in monitoring their learning progress, enhancing learning, strengthening memory recall, and promoting long-term retention.…”
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La vulnérabilité d’un territoire, un héritage complexe à révéler : démonstration à travers l’étude géohistorique du risque d’inondation en Val d’Orléans (France) by Sylvain Dournel

“…In this complex situation, vulnerability is here treated as a legacy that should be not only revealed but also asserted in order to revive a memory and even a local culture of flood risk. This work gives importance to longer time and hence resorts to historical geography and to geohistory to determine the flood mechanisms and the constructions of vulnerability of the Val d’Orléans.…”
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Specifics of the long-term study of Khoja Ahmed Yasawi’s tomb complex in Turkestan by Yerassyl Aidar, Lyazzat Nurkusheva, Gaukhar Sadvokasova, Bolat Kuspangaliyev, Konstantin Samoilov

“…Historical buildings are, in fact, the physical preservation of the memory of the development of society in all its diversity. …”
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Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…This signal contains a number of distinctive waveform patterns that reflect the subject's health state in relation to sleep, neurological disorders, memory functions, and more. In this regard, sleep spindles and K-complexes are two major waveform patterns of interest to specialists, who visually inspect the recordings to identify these events. …”
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Genesis of a Poetics of Silence by Enora Lessinger

“…This short story prefigures very clearly Ishiguro’s later novels, and deals with themes dear to him: memory, family, trauma and guilt, the atomic bomb as an absent centre. …”
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Sines, transient, noise neural modeling of piano notes by Riccardo Simionato, Stefano Fasciani

“…While the model is more computationally and memory efficient, perceptual tests reveal limitations in accurately modeling the attack phase of notes. …”
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Real-Time Pipeline Leak Detection: A Hybrid Deep Learning Approach Using Acoustic Emission Signals by Faisal Saleem, Zahoor Ahmad, Jong-Myon Kim

“…The core of the framework combines convolutional neural networks (CNNs) with long short-term memory (LSTM), ensuring a comprehensive examination of both spatial and temporal features of AE signals. …”
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Mise en scène du paysage montagnard et valorisation sélective des patrimoines dans une vallée pyrénéenne en reconversion économique by Pierre Dérioz, Philippe Bachimon, Maud Loireau

“…This heritage part of the strategy is intended for the residents, the owners of secondary residences, and for tourists in the strict sense of the term: proof of this is in how the promotion of the industrial heritage has been accompanied the disappearance of its physical evidence in the landscape (destruction of the factory), the shift to the reconstruction of a memory being considered as a means of more effectively breaking with this industrial past.…”
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