# All Relations between short term memory and matrix compartment

Publication | Sentence | Publish Date | Extraction Date | Species |
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Ibrahim Sbeity, Christophe Villien, Benoît Denis, Elena Veronica Belmeg. LSTM-Based GNSS Localization Using Satellite Measurement Features Jointly with Pseudorange Residuals. Sensors (Basel, Switzerland). vol 24. issue 3. 2024-02-10. PMID:38339550. | this matrix is then fed as an input to a long short-term memory (lstm) deep neural network capable of exploiting the hidden correlations between these features relevant to positioning, leading to the predictions of efficient measurement weights. | 2024-02-10 | 2024-02-12 | Not clear |

Wangping Xiong, Kaiqi Wang, Shixiong Liu, Zhaoyang Liu, Yimin Zhu, Peng Liu, Ming Yang, Xian Zho. Multiple prescription pattern recognition model based on Siamese network. Mathematical biosciences and engineering : MBE. vol 20. issue 10. 2023-12-05. PMID:38052575. | secondly, a drug attribute tagging strategy was used to quantify the functional features of each drug in the core prescriptions; finally, a bidirectional long short-term memory network (bilstm) was used to extract the relational features of the core prescriptions, and a vector representation similarity matrix was constructed in combination with the siamese network framework to calculate the similarity between the core prescriptions and the classical prescriptions. | 2023-12-05 | 2023-12-10 | Not clear |

Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Ga. Neural Inference Search for Multiloss Segmentation Models. IEEE transactions on neural networks and learning systems. vol PP. 2023-06-16. PMID:37327096. | the first two behaviors are exploratory, leveraging long short-term memory (lstm)-convolutional neural network (cnn)-based velocity predictions, while the third employs n -dimensional matrix rotation for local exploitation. | 2023-06-16 | 2023-08-14 | Not clear |

Bo Lyu, Shengbo Wang, Shiping Wen, Kaibo Shi, Yin Yang, Lingfang Zeng, Tingwen Huan. AutoGMap: Learning to Map Large-Scale Sparse Graphs on Memristive Crossbars. IEEE transactions on neural networks and learning systems. vol PP. 2023-04-18. PMID:37071512. | our generating model long short-term memory (lstm), combined with the dynamic-fill scheme generates remarkable mapping performance on the small-scale graph/matrix data (complete mapping costs 43% area of the original matrix) and two large-scale matrix data (costing 22.5% area on qh882 and 17.1% area on qh1484). | 2023-04-18 | 2023-08-14 | Not clear |

Jian Xing, Pengyu Yan, Wenchao Li, Shuanglong Cu. Generalized inverse matrix - long short-term memory neural network data processing algorithm for multi-wavelength pyrometry. Optics express. vol 30. issue 26. 2022-12-23. PMID:36558571. | a generalized inverse matrix (gim) is combined with a long short-term memory (lstm) neural network algorithm for data processing of mwp is proposed, which emissivity influence is dispensed completely. | 2022-12-23 | 2023-08-14 | Not clear |

Jian Xing, Pengyu Yan, Wenchao Li, Shuanglong Cu. Generalized inverse matrix - long short-term memory neural network data processing algorithm for multi-wavelength pyrometry. Optics express. vol 30. issue 26. 2022-12-23. PMID:36558571. | generalized inverse matrix - long short-term memory neural network data processing algorithm for multi-wavelength pyrometry. | 2022-12-23 | 2023-08-14 | Not clear |

Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafa. Knowledge Graph-Enabled Text-Based Automatic Personality Prediction. Computational intelligence and neuroscience. vol 2022. 2022-06-30. PMID:35769270. | finally, to perform personality predictions, the resulting embedding matrix was fed to four suggested deep learning models independently, which are based on convolutional neural network (cnn), simple recurrent neural network (rnn), long short-term memory (lstm), and bidirectional long short-term memory (bilstm). | 2022-06-30 | 2023-08-14 | human |

Wantong Chen, Hailong Wu, Shiyu Re. CM-LSTM Based Spectrum Sensing. Sensors (Basel, Switzerland). vol 22. issue 6. 2022-03-26. PMID:35336457. | we jointly exploited the spatial cross-correlation of multiple signals received by the antenna array and the temporal autocorrelation of single signals; we used the long short-term memory network (lstm), which is good at extracting temporal correlation features, as the classification model; we then input the covariance matrix of the signals received by the array into the lstm classification model to achieve the fusion learning of spatial correlation features and temporal correlation features of the signals, thus significantly improving the performance of spectrum sensing. | 2022-03-26 | 2023-08-13 | Not clear |

Wantong Chen, Hailong Wu, Shiyu Re. CM-LSTM Based Spectrum Sensing. Sensors (Basel, Switzerland). vol 22. issue 6. 2022-03-26. PMID:35336457. | this paper presents spectrum sensing as a classification problem, and uses a spectrum-sensing algorithm based on a signal covariance matrix and long short-term memory network (cm-lstm). | 2022-03-26 | 2023-08-13 | Not clear |

Jie Zhong, Qinyao Pan, Bowen Li, Jianquan L. Minimal Pinning Control for Oscillatority of Boolean Networks. IEEE transactions on neural networks and learning systems. vol PP. 2021-12-23. PMID:34941532. | first, two criteria for oscillatority of bns are obtained from the aspects of state transition matrix (stm) and network structure (ns) of bns, respectively. | 2021-12-23 | 2023-08-13 | Not clear |

Joyce Chelangat Bore, Peiyang Li, Lin Jiang, Walid M A Ayedh, Chunli Chen, Dennis Joe Harmah, Dezhong Yao, Zehong Cao, Peng X. A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging. IEEE transactions on medical imaging. vol 40. issue 12. 2021-12-06. PMID:34270417. | in deepbrainnet, considering that recurrent neural network (rnn) are usually "deep" in temporal dimension and thus suitable for time sequence modelling, the rnn with long short-term memory (lstm) is utilized to approximate the inverse operation for the lead field matrix instead of performing the direct inverse operation, which avoids the possible effect of the direct inverse operation on the underdetermined lead field matrix prone to be influenced by noise. | 2021-12-06 | 2023-08-13 | Not clear |

Xue-Qiang Fan, Jun Hu, Ning-Xin Jia, Dong-Jun Yu, Gui-Jun Zhan. Improved protein relative solvent accessibility prediction using deep multi-view feature learning framework. Analytical biochemistry. vol 631. 2021-11-02. PMID:34478704. | in this study, a novel deep multi-view feature learning (dmvfl) framework that integrates three different neural network units, i.e., bidirectional long short-term memory recurrent neural network, squeeze-and-excitation, and fully-connected hidden layer, with four sequence-based single-view features, i.e., position-specific scoring matrix, position-specific frequency matrix, predicted secondary structure, and roughly predicted three-state relative solvent accessibility probability, is developed to accurately predict relative solvent accessibility information of protein. | 2021-11-02 | 2023-08-13 | Not clear |

Hongfeng You, Long Yu, Shengwei Tian, Xiang Ma, Yan Xing, Jinmiao Song, Weidong W. Anti-cancer Peptide Recognition Based on Grouped Sequence and Spatial Dimension Integrated Networks. Interdisciplinary sciences, computational life sciences. 2021-10-12. PMID:34637113. | the main process is as follows: first, we implemented the fusion reduction of binary structure features and k-mer sparse matrix features through principal component analysis and generated a set of new features; second, we constructed a new bidirectional long- and short-term memory network. | 2021-10-12 | 2023-08-13 | Not clear |

Min Yang, Junhao Liu, Lei Chen, Zhou Zhao, Xiaojun Chen, Ying She. An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks. IEEE transactions on cybernetics. vol 50. issue 12. 2020-12-07. PMID:31217139. | the proposed networkgan inherits the advantages of the graph convolutional network (gcn), the temporal matrix factorization (tmf), the long short-term memory network (lstm), and the generative adversarial network (gan). | 2020-12-07 | 2023-08-13 | Not clear |

Allyson L Brady, Shannon E Kobs Nawotniak, Scott S Hughes, Samuel J Payler, Adam H Stevens, Charles S Cockell, Richard C Elphic, Alexander Sehlke, Christopher W Haberle, Greg F Slater, Darlene S S Li. Strategic Planning Insights for Future Science-Driven Extravehicular Activity on Mars. Astrobiology. vol 19. issue 3. 2020-05-18. PMID:30840500. | a multidisciplinary team of scientists generated and codified a range of scientific hypotheses distilled into a science traceability matrix (stm) that defined the set of objectives pursued in a series of extravehicular activity (eva) campaigns performed across multiple field deployments. | 2020-05-18 | 2023-08-13 | Not clear |

Davoud Zarifi, Mohammad Soleimani, Ali Abdolal. State-transition-matrix method for inverse scattering in one-dimensional inhomogeneous media. Physical review. E, Statistical, nonlinear, and soft matter physics. vol 90. issue 5-1. 2019-11-20. PMID:25493896. | the inverse solution of the permittivity profile is obtained with the help of the state-transition matrix (stm) and its properties, which are presented and proved. | 2019-11-20 | 2023-08-13 | Not clear |

Alexander Gustafsson, Magnus Paulsso. STM contrast of a CO dimer on a Cu(1 1 1) surface: a wave-function analysis. Journal of physics. Condensed matter : an Institute of Physics journal. vol 29. issue 50. 2018-02-08. PMID:29105647. | the method enables (i) reduction of the number of contributing tip-substrate wave function combinations used in the corresponding transmission matrix, and (ii) to bundle up wave functions with similar symmetry in the lateral plane, so that (iii) an intuitive understanding of the stm contrast can be achieved. | 2018-02-08 | 2023-08-13 | Not clear |

Jian He, Chen Fang, Russell A Shelp, Matthew B Zimm. Tracking Invisible Transformations of Physisorbed Monolayers: LDI-TOF and MALDI-TOF Mass Spectrometry as Complements to STM Imaging. Langmuir : the ACS journal of surfaces and colloids. vol 33. issue 2. 2017-08-02. PMID:27989120. | for some, but not all, compounds, applying matrix onto a self-assembled monolayer increases molecular ion intensities and affords more accurate assessment of monolayer composition via matrix assisted laser desorption/ionization (maldi) ms. matrix addition precludes subsequent chemical or stm studies of the monolayer, whereas reactions and stm may be performed at nonirradiated regions following ldi-tof measurements. | 2017-08-02 | 2023-08-13 | Not clear |

Ziwei Luo, Li Jiang, Yan Xu, Haibin Li, Wei Xu, Shuangchi Wu, Yuanliang Wang, Zhenyu Tang, Yonggang Lv, Li Yan. Mechano growth factor (MGF) and transforming growth factor (TGF)-β3 functionalized silk scaffolds enhance articular hyaline cartilage regeneration in rabbit model. Biomaterials. vol 52. 2015-12-31. PMID:25818452. | similarly, more cartilage-like extracellular matrix and less fibrillar collagen were detected in stm scaffolds than that in tgf-β3 modified scaffolds (st) at 2 months after subcutaneous implantation. | 2015-12-31 | 2023-08-13 | rabbit |

Nam-Suk Lee, Hoon-Kyu Shin, Young-Soo Kwo. A Study on the Rectification Property of Self-Assembled Viologen Single Molecules Using a Scanning Tunneling Microscopy. Journal of nanoscience and nanotechnology. vol 15. issue 2. 2015-10-09. PMID:26353712. | using stm we observe viologen single molecules in the self-assembled octanethiol (ot) sam matrix. | 2015-10-09 | 2023-08-13 | Not clear |