LSTM-Based Music Generation Technologies by Yi-Jen Mon

“…Subsequently, it introduces the use of LSTM to build a deep learning network architecture, enabling the learning of musical features and temporal coherence. Finally, through in-depth analysis and comparative studies, this paper validates the efficacy of the proposed research methodology, demonstrating its ability to capture musical coherence and generate compositions with similar styles.…”
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Measuring Spatial Dependence for Infectious Disease Epidemiology. by Justin Lessler, Henrik Salje, M Kate Grabowski, Derek A T Cummings

“…The statistic presented, and measures of global clustering in general, can be powerful tools for analysis of spatially resolved data on infectious diseases.…”
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Algorithm of video file recognition for digitization of analog indicator oscillations on the example of GNU-KV quartz gravimeter by А. М. Lobanov, А. Р. Belov, А. М. Erokhin, К. V. Venediktov

“…The advancement of geological and geophysical research leverages modern technology to enhance the analysis of instrumental data, particularly focusing on long-wave components of potential fields. …”
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Assessing the Preprocessing Benefits of Data-Driven Decomposition Methods for Phase Permutation Entropy—Application to Econometric Time Series by Erwan Pierron, Meryem Jabloun

“…Our primary aim is to assess how these preprocessing methods affect PPE’s ability to capture temporal structural complexities within time series. …”
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How do the resting EEG preprocessing states affect the outcomes of postprocessing? by Shiang Hu, Jie Ruan, Pedro Antonio Valdes-Sosa, Zhao Lv

“…However, little is known about the impacts of IPE or EPE on postprocessing in the temporal, frequency, and spatial domains, particularly as to the spectra and the functional connectivity analysis. …”
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Introduction of smart technologies in event-management: socio-cultural aspect by V. A. Shelginskaya

“…This could provide the meeting industry with new management capabilities related to the ability to predict and program visitor behavior based on the analysis of extremely large amounts of data about their behavior, thinking and preferences. …”
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A Space-Time Plume Algorithm to Represent and Compute Dynamic Places by Brent Dell, May Yuan

“…We further enhance metaball rendering with Perlin noise to visualize plume structures and their spatiotemporal evolution. A comparative analysis with ST-DBSCAN shows Space-Time Plume’s competitive computational efficiency and ability to represent dynamic places with richer geographic insights.…”
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An Advanced LSTM Framework for Pest Detection and Classification in Agricultural Settings by Bhoi Manjulata, Sharma Priti

“…It is considered intrinsic sequential and temporal, and it achieves very limited ability to learn useful features within such data. …”
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Effect of Stimulus Regularities on Eye Movement Characteristics by Bilyana Genova, Nadejda Bocheva, Ivan Hristov

“…Humans have the unique ability to discern spatial and temporal regularities in their surroundings. …”
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A framework of partial discharge detection for gas-insulated switchgear based on LSTM and multi-head attention by YANG Zhengsheng, LIU Fang

“…ObjectivesTo achieve long-term stable operation of electrical equipment， a framework for anomaly detection and classification of partial discharge （PD） in gas insulated switchgear （GIS） based on long short-term memory （LSTM） networks and a multi-head attention mechanism was proposed.MethodsFirstly， phase resolved partial discharge （PRPD） analysis was used as the input sequence， and LSTM was employed to learn the temporal correlations in PRPD signals. …”
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Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease. by Julia Ledien, Zulma M Cucunubá, Gabriel Parra-Henao, Eliana Rodríguez-Monguí, Andrew P Dobson, Susana B Adamo, María-Gloria Basáñez, Pierre Nouvellet

“…Predictive FoI modelling frameworks are then used to understand spatial and temporal trends indicative of heterogeneity in transmission and changes effected by control interventions. …”
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Impaired interhemispheric synchrony in patients with iridocyclitis and classification using machine learning: an fMRI study by Yan Tong, Zhi Wen, Xin Huang

“…The diagnostic efficacy of VMHC was evaluated using a support vector machine (SVM) classifier, with classifier performance assessed through permutation test analysis. Furthermore, correlation analyses was conducted to investigate the associations between mean VMHC values in various brain regions and clinical features.ResultsPatients with iridocyclitis exhibited significantly reduced VMHC signal values in the bilateral inferior temporal gyrus, calcarine, middle temporal gyrus, and precuneus compared to HCs (voxel-level P < 0.01, Gaussian Random Field correction; cluster-level P < 0.05). …”
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Ecological niche and interspecific relationship of mosquitoes in different habitats in Dongcheng District， Beijing， 2023 by WEI Xuqiang, QUE Ran, WANG Yunbo, MA Zhuo, LI Minghua, LU Xiaodi

“…Besides, the ecological similarity coefficients further verified that similarity coefficients, between the two mosquito species, were highest in residential areas (0.712), lowest in tourist attractions (0.497), and which were 0.675 in parks and 0.598 in medical institutions, respectively.ConclusionIn different monitoring habitats in Dongcheng District of Beijing, Culex albopictus pallens demonstrates a stronger spatio-temporal resource utilization ability than Aedes albopictus, and the two species exhibit more similar spatio-temporal resource utilization patterns in residential areas. …”
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Biomechanical parameters quantified by MR elastography for predicting response to neoadjuvant chemotherapy and disease-free survival in breast cancer: a prospective longitudinal st... by Xiaoxia Wang, Yao Huang, Jinfang Shi, Ying Cao, Huifang Chen, Lan Li, Lu Wang, Sun Tang, Xueqin Gong, Haiping Huang, Ting Yin, Jiuquan Zhang

“…Logistic regression was used for pCR analysis and Cox proportional hazards regression was used for survival analysis. …”
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The dynamics of Cryptococcus neoformans infection in Galleria mellonella by Daniel F. Q. Smith, Aviv Bergman, Arturo Casadevall

“…In this study, we investigated the dynamics of fungal infections in G. mellonella using Cryptococcus neoformans, a human pathogenic fungus. Since the analysis of infection dynamics requires a fine temporal resolution of larval death, we employed a photographic time-lapse technique that allowed us to simultaneously measure death by proxy of larval melanization and absence of movement. …”
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Split-belt treadmill training improves gait symmetry and lower limb function in patients with stroke by Chunfang Wang, Qun Zhang, Siyan Hou, Dan Guo, Xuemin Han, Weiguang Huo, Ying Zhang

“…The treatment was provided once per day, five times per week for four weeks(total of 20 treatments). Gait analysis including step length, gait speed, temporal and spatial asymmetry and clinical assessment of lower limb function using Fugl-Meyer Assessment - lower extremity (LEFM), the Berg Balance Scale (BBS), the Wisconsin Gait Scale(WGS), and the Timed Up and Go Test (TUGT) were measured at baseline, 2 weeks post intervention, 4 weeks post intervention, and at follow-up after 4 weeks finishing the exercise. …”
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Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…In this study, a custom dataset was used to train existing traffic flow statistics models.The experimental results showed that the YOLO-World model achieved a precision of 76.99% and an mAP50 of 70.08%. A comparative analysis with YOLO-v3,YOLO-v5, YOLO-v6,and YOLO-v8 algorithms indicated that, while balancing spatial and temporal resource consumption and accuracy, the proposed algorithm offers higher recognition accuracy and environmental adaptability. …”
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Development and validation of PRE-FRA (PREdiction of FRAilty risk in community older adults) frailty prediction model by Taiping Lin, Xiaotao Huang, Xiang Wang, Miao Dai, Jirong Yue

“…Additionally, temporal validation was performed to ensure the model’s generalizability. …”
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Marine soundscape forecasting: A deep learning-based approach by Shashidhar Siddagangaiah

“…These environments are rapidly changing and exhibit complex temporal patterns and trends across different frequencies, influenced by biotic and abiotic factors as well as extreme events. …”
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A Near-Real-Time Operational Live Fuel Moisture Content (LFMC) Product to Support Decision-Making at the National Level by Akli Benali, Giuseppe Baldassarre, Carlos Loureiro, Florian Briquemont, Paulo M. Fernandes, Carlos Rossa, Rui Figueira

“…Live fuel moisture content (LFMC) significantly influences fire activity and behavior over different spatial and temporal scales. The ability to estimate LFMC is important to improve our capability to predict when and where large wildfires may occur. …”
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