According to GB/T 31467.3-2015, the Battery Enclosurewith Modules is placed on a test bench, Cylinders as extrusionmoving parts, to conduct extrusion tests in the X and Y directions. The extrusion is stopped when the extrusion forcereaches 200 kN or the deformation rate reaches 30%. During this process, the interior of the battery module is observed for any damage.
This study explores the application of the
Long Short-Term Memory (LSTM) neural network architecture
to develop a machine learning model capable of predicting
the onset, cessation, and duration of rainfall seasons. Climate
observation data from weather stations in Entebbe, Kampala,
Kawanda, Namulonge, and Masindi were used. The dataset
includes 12,025 daily records from 1991 to 2021, consisting of
surface pressure, temperature, wind speed, relative humidity, and
rainfall amounts. Two main prediction tasks were addressed:
Set5, Set11, and Set14 are classic small-scale benchmark datasets widely used for image super-resolution tasks. BSD100 and BSD500 feature complex natural scenes, commonly used for denoising and segmentation research. McM18 is a medical imaging dataset focused on medical image reconstruction. Urban100 emphasizes urban scenes, ideal for evaluating models on high-frequency details and structural textures. These datasets span diverse applications, serving as valuable benchmarks in computer vision research.
Public safety is seriously threatened by road accidents, which are a major global concern in urban settings. The capital of Bangladesh, Dhaka City, stands out among these locations as a perfect illustration of the complicated difficulties confronted by highly populated cities in ensuring road safety. In this paper, we have used time-series analysis to model the temporal patterns and trends in accident occurrence and machine learning algorithms to identify accident hotspots and comprehend the causes of traffic accidents.
This dataset is in support of my research paper 'Statistical Variability Study of RDF and LER on Nanosheet FETs at Sub 3nm Node'. In this study, we studied the influence of RDF and LER on NSFETs through NEGF method for simulation. The results are generated by simulation software, Nano-electronic Simulation Software (NESS), which was developed by the University of Glasgow’s Device Modelling Group. Our results predict the figures of merit of nanosheet devices at different channel lengths and widths with the influence of RDF and LER.
Industrial parts overlay image dataset
MODI script is one of the oldest written formsofmedia.Mostoftheearlywrittenknowledgeonsubjectslikemedicine, Buddhist ideology, food habits and horoscope has been written using MODI script. MODI Script was in use during Yadavas to Chhatrapati Shivaji Maharaj Era for writing administrative and government documents. Further, during Peshawas era, MODI Script was extensively used. Even during British rule, MODI Script uses are found. It started to diminish the use of MODI Script from 1960 onwards.
