The data is collected from the deployed IoT sensor node at a pilot farm in Narrabri, Australia. The dataset includes information about soil characteristics such as soil moisture and soil temperature at 20-40-60 cm depth. The sensor node also provides information about environmental influencers, which are critical in constructing machine learning models to predict Evapotranspiration in diverse soil and environmental conditions.
This custom dataset was created to support gait recognition research using Inertial Measurement Units (IMUs), which capture acceleration, angular velocity, and orientation data from key body locations (e.g., ankles, waist, wrists). It includes recordings from [insert number] participants performing various walking tasks under different conditions, such as normal and fast walking or navigating obstacles. The dataset provides time-series data suitable for both traditional feature-based analysis and deep learning approaches.
This dataset includes generated demand series, forecasts, forecast errors, and simulation results for the manuscript "Assessing the Effect of One-Step and Multi-Step Forecasting on Bullwhip Effect and Supply Chain Performance." Autoregressive demand series were generated using varying parameters, specifically based on an AR(1) demand process. Additionally, the M5 series, derived from Walmart, one of the world’s largest retailers, captures actual sales data from Walmart stores across the United States and is included as real-world data.
The Electrical Storm Optimization (ESO) algorithm, inspired by the dynamic nature of electrical storms, is a novel population-based metaheuristic that employs three dynamically adjusted parameters: field resistance, intensity, and conductivity. Field resistance assesses the spread of solutions within the search space, reflecting strategy diversity. Field intensity balances the exploration of new territories and the exploitation of promising areas. Field conductivity adjusts the adaptability of the search process, enhancing the algorithm's ability to escape local optima.
Sapphire fiber can withstand temperatures of around 2000°C, but it is multimoded, giving poor precision sensors. We have demonstrated a single-mode sapphire fiber Bragg grating temperature sensor operating up to 1200°C. A single-mode sapphire fiber was formed by writing a depressed cladding waveguide along the length of a 100-µm diameter sapphire fiber using a femtosecond laser. A second-order Bragg grating sensor was inscribed within the waveguide, achieving a reflectivity of >90% and a narrow bandwidth of <0.5 nm.
This compendium encompasses the entirety of hyperspectral data acquired across a spectrum of experimental scenarios (initially delineating the wavelength in the foremost column, followed by a sequential arrangement of every 10 columns demarcating a unique set of data under a specific condition, cumulatively spanning 51 columns), accompanied by an Excel spreadsheet detailing the electrical conductivity measurements of all mural plaster specimens.
The dataset contains ttwo columns, the first column represent the 'Time' data , while the second column represents the 'Current' data's. These figures are from a simulation of the 750 VDC traction system. These figures also show the train's high beginning current and used to study the DC traction system.
Cemented total hip arthroplasty (THA) demonstrates superior survival rates compared to uncemented procedures. Nevertheless, most younger patients opt for uncemented THA, as removing well-fixed bone cement in the femur during revisions is complex, particularly the distal cement plug. This removal procedure often increases the risk of femoral fracture or perforation, haemorrhage and weakening bone due to poor drill control and positioning. Aim of this study was to design a novel drill guide to improve drill positioning.
Seven years of water consumption data, along with population data, were manually collected in collaboration with the local municipality office. This data was then combined with climatic data to model the proposed machine learning algorithm. The weather data was recorded for a period of 7 years using precise meteorological instruments installed in Islamabad at coordinates 33.64° N and 72.98° E, with an elevation of 500 meters above sea level.
Data used to produce figures 5-7 in the paper Multi-Gate In-plane Actuated NEMS Relays for Effective Complementary Logic Gate Designs as well as tables 1 and 2. Figure 5 shows input and output data collected from a 3-input NAND gate comprised of a novel multi-gate (multi-input relay). Figures 6 and 7 present data from COMSOL simulations indended to outline a procedere for optimizing these relays and allow for scaling of the device parameters. Table 1 compares our designs with those of other works, in terms of number of relays and critical path.&nbs
