Modeling the Impact of Cotton Production on Economic Development in Benin: A Technological Innovation Perspective by Dafia Chabi Simin Najib, Chen Fei, Azer Dilanchiev, Samson Romaric

“…Prior to the VECM, a descriptive analysis was conducted on a time series database collated over 56 years (1965–2021) from national and international organizations including World Bank, the United States Department of Agriculture, and the National Accounts. …”
Get full text

Impact of China’s Diagnosis-Intervention Packet Policy on Hospitalization Costs for Patients With Malignant Tumors: A 2019–2022 Interrupted Time Series Analysis by Zhang M, Wang G, Liu H, Wen Y, Chen L

“…Outcome indicators included average monthly hospitalization expenses and sub-expenses for hospitalized patients with malignant tumors. A 48-month time-series database was constructed and the interruption time series model used to evaluate the changing trends in expenses before and after the DIP implementation.Results: After DIP implementation, average hospitalization costs for patients with malignant tumors showed a statistically significant downward trend. …”
Get full text

Achieving High Reliability in Data Acquisition by Ivan Šećerov, Srđan Popov, Srđan Sladojević, Dragana Milin, Lazar Lazić, Dragan Milošević, Daniela Arsenović, Stevan Savić

“…Deployed to monitor and record different objects and their states inside urban areas, UMNs build a long-term meteorological data time series database. The most commonly used systems for achieving this goal include wireless sensor networks (WSNs). …”
Get full text

iTex Gloves: Design and In-Home Evaluation of an E-Textile Glove System for Tele-Assessment of Parkinson’s Disease by Vignesh Ravichandran, Shehjar Sadhu, Daniel Convey, Sebastien Guerrier, Shubham Chomal, Anne-Marie Dupre, Umer Akbar, Dhaval Solanki, Kunal Mankodiya

“…The gloves are connected to a customized tablet computer acting as an IoT device, configured to host a wireless access point, and host an MQTT broker and a time-series database server. The tablet also employs a patient-centered interface to guide PwPDs through the movement exam protocol. …”
Get full text

Electrocardiogram based heart disease diagnosis using artificial intelligence by Hussain Kareem, Khleaf

“…This technique is used to transform the data of the ECG signal recorded on paper to a digital time series database. The ECG signal is usually infected with various kinds of noise such as Baseline Wander (BW) noise, Motion Artifacts (EA) noise, Muscle Artefacts (MA) noise, and Power Line Interference (PLI) noise. …”
Get full text

Adaptive complex neuro-fuzzy inference system for non linear modeling and time series prediction by Shoorangiz, Mohammadreza

“…Proposed method with 8 number of rules is able to predict this dataset with root mean square of 0.0007 and non dimensional error index of 0.0031 which is comparable with previous works in terms of error measure values and number of rules. The second time series database is annual sunspot dataset which is a natural and physical phenomena. …”
Get full text

Energy renovation rates in the Netherlands – comparing long and short term prediction methods by Faidra Filippidou, Nina Holck Sandberg, Igor Sartori, Nico Nieboer, Magnus Inderberg Vestrum, Jan Sandstad Næss, Helge Brattebø

“…Second, we use yearly records gathered centrally and stored in a time series database by housing associations through the energy labelling of their stocks, called SHAERE (Sociale Huursector Audit en Evaluatie van Resultaten Energiebesparing [English: Social Rented Sector Audit and Evaluation of Energy Saving Results]). …”
Get full text

Evaluating macroeconomic shocks on banking stability with A Factor-Augmented Vector Autoregressive (FAVAR) Approach (case study: Iran's economy) by Aso Eesmailpour, Jafar Hagheghat, Zahra Karimi Takanlou

“…The data used are annual and have been prepared through the time series database of the Central Bank. The time range of the data includes the years 1991 to 2022. …”
Get full text

Studying the Impact of Exchange Rate Fluctuations on Tax Revenues in Iran's Economy by Seyed Valiallah Mirhoseyni, Seyed Hossein Izadi, Abas Rahimi

“…The World Bank, the Iranian Statistics Center, and the Central Bank of the Islamic Republic of Iran's economic time series databases were used to extract the necessary data. …”
Get full text

Adaptive Segmentation of Streaming Sensor Data on Edge Devices by Roman Dębski, Rafał Dreżewski

“…The proposed algorithm can be applied to various domains, including online compression and/or smoothing of data streams coming from sensors, real-time IoT analytics, and embedded time-series databases.…”
Get full text

Time series formalism : a systems approach by Ayyaz, Usman

Get full text

From Learning Gait Signatures of Many Individuals to Reconstructing Gait Dynamics of One Single Individual by Fushing Hsieh, Xiaodong Wang

“…Based on accelerometers’ 3D gait time series databases, we link the answers toward both questions via multiscale structural dependency within gait dynamics of our musculoskeletal system. …”
Get full text

Times Series Forecasting using Chebyshev Functions based Locally Recurrent neuro-Fuzzy Information System by A.K. Parida, R. Bisoi, P.K. Dash, S. Mishra

“…Three real world time series databases like the electricity price of PJM electricity market, the widely studied currency exchange rates between US Dollar (USD) and other four currencies i.e. …”
Get full text

Chebyshev polynomial functions based locally recurrent neuro-fuzzy information system for prediction of financial and energy market data by A.K. Parida, R. Bisoi, P.K. Dash

“…Several real world financial and energy market time series databases are used for performance validation of the proposed LRNFIS model.…”
Get full text

Multivariate Singular Spectrum Analysis: A Principled, Practical, and Performant Solution for Time Series Imputation and Forecasting by Alomar, Abdullah

“…Further, we propose an incremental variant of the algorithm, upon which, a real-time prediction system for time series data, tspDB, is instantiated and evaluated. tspDB aims to increase accessibility to predictive functionalities for time series data through the direct integration with existing relational time series Databases. Finally, through rigorous experiments, we show that tspDB provides state-of-the-art statistical accuracy while maintaining a superior computational performance with an incremental model update, low model training time, and low latency for prediction queries.…”
Get full text

Linked data to streaming data sensors sources for direct access by Diego Calvetti, Daniel Luiz de Mattos Nascimento, Flávio Ney Magno de Araújo Filho, Rafael Henrique Viana Abreu, Nicolas Alexandros Papadopoulos

“…Design/Methodology/Approach: A streaming data source approach to integrating industrial sensor data and sharing it via Uniform Resource Identifiers is developed and tested using Node-Red with multiple data connection types, such as the Industry Foundation Classes and open-source time series databases. Results: The detailed proof of concept presented valid the feasibility of sharing sensor data via Uniform Resource Identifiers. …”
Get full text