The e-nose device used in this study was constructed using a gas sensor array, LCD display, micro air pumps for inhalation and exhalation, a microcontroller, and a mini-PC. Gas samples from the sample chamber were periodically drawn into the device through a hose. Each sample underwent a 30-hour sampling process at room temperature (25°C). The sampling frequency was 15 times per hour, resulting in 60 records per sample.
( TITLE ( 'epilepsy AND classification' ) OR TITLE ( 'seizure AND classification' ) OR TITLE ( 'epilepsy AND detection' ) OR TITLE-ABS-KEY ( 'seizure AND detection' ) ) AND ( LIMIT-TO ( SUBJAREA , "ENGI" ) ) AND ( LIMIT-TO ( PUBYEAR ,  
This dataset consists of high-resolution visible-spectrum (RGB) and thermal infrared (TIR) images of two vineyards (Vitis vinifera L.) with varieties of Mouhtaro and Merlot, which was captured by Unmanned Aerial Vehicle (UAV) carrying TIR and RGB sensors three times in a cultivation period.
SCD Dataset: This new dataset has been specifically created for the development and education of children with down syndrome. The dataset, containing a total of 13,500 Turkish question-answer pairs, has "positive" and "negative" emotion labels. In the context of human-robot interaction, accurately identifying and addressing positive and negative emotions has a significant impact on user experience and satisfaction. Neutral questions and answers provide less information in terms of sentiment analysis and are less relevant to the purpose of this study.
Thes dataset comprises IQ samples captured from ITSG-5, C-V2X PC5, WiFi, LTE, 5G NR and Noise. Six different dataset bunches are collected at sampling rates of 1, 5, 10, 15 , 20, and 25 Msps. In each dataset cluster, 7500 examples are collected from each considered technology. The dataset size at each considered sampling rate is 7500 X M, where M can be 44, 220, 440, 660, 880, and 1100 for a sampling rate of 1, 5, 10, 15 , 20, and 25 Msps,respectively.
The Dataset comprises the histogram of Inter-frame spacing for saturated and unsaturated WiFi networks.
In order to develop a CNN model that can classify saturated and unsaturated traffic in WiFi network, we prepared a large dataset that represents the traffic characteristics of both cases.
The Dataset comprises the histogram of Inter-frame spacing for saturated and unsaturated WiFi networks.
In order to develop a CNN model that can classify saturated and unsaturated traffic in WiFi network, we prepared a large dataset that represents the traffic characteristics of both cases.
Dataset comprising 129 images of Tilapia:
This dataset was initially collected by Mrs Athira P K with the help of teachers and students of Rahmania school for handicapped, Kozhikode, Kerala, India. Later the dataset was extended by many other BTech and MTech students with the help of their friends.
MUDRA NITC dataset consists of videos of static and dynamic gestures of Indian sign language. In static gestures mainly static alphabets videos and preprocessed image frames are included.
Preventing heatstroke is of utmost importance as it poses a significant threat to life and can lead to severe health complications and even death. Heatstroke occurs when the body's internal temperature reaches hazardous levels, typically due to prolonged exposure to high temperatures or intense physical activity in hot weather. Recognizable symptoms of heatstroke encompass confusion, rapid heartbeat, accelerated breathing, seizures, and loss of consciousness. Moreover, projections suggest a 260% surge in mortality rates attributed to heat-related incidents by the 2050s.
