The PV power output dataset is obtained from four different site datasets from the desert knowledge Australian solar center (DKASC). This dataset records power generation information and weather conditions, including wind speed (WS), wind direction (WD), temperature, air pressure (AP), relative humidity (RH), precipitation, diffuse horizontal radiation (DHR), and global horizontal radiation (GHR).
不同模型的效果
The dataset consists of images of Turkish cucumber leaves. These images are collected from the Global Hydroponics Plant located in Katraj, Pune. Image acquisition is carried out using three different smartphones with varying camera specifications, ensuring diversity in image resolution and quality.
Scammers have siphoned away over \$1.03 trillion globally in the past year, emphasizing the urgent need for effective fraud detection systems. Fraud detection in telecommunication systems remains a significant challenge as fraudulent activities constantly evolve, resulting in financial losses and security risks. This paper proposes a fast and efficient machine-learning-based fraud detection system that analyzes phone call transcripts using Natural Language Processing (NLP) techniques.
Monitoring Carbon Emission from Industrial Users by Identifying Multi-State Load in Advance Metering Infrastructure
We present a novel dataset for LoRa device authentication using Radio Frequency Fingerprinting (RFFI), addressing IoT security challenges in resource-constrained environments. Our dataset captures hardware-specific signal characteristics from 23 LoRa devices through three complementary representations: raw IQ samples, FFT spectra, and time-frequency spectrograms. Collected using a USRP B200 receiver with GPS synchronization, the data incorporates both coarse and fine Carrier Frequency Offset (CFO) estimations for enhanced feature analysis.
This dataset includes cyclist stress levels and a range of sensor readings capturing environmental conditions from both real-world traffic and a bike simulator environment. Data was collected using a smartphone-based sensor system, which recorded accelerometer, gyroscope, GPS, ambient light, and microphone data. Cyclists verbally reported their perceived stress levels at regular 5-second intervals, creating a labeled dataset for analyzing cyclist stress.
The Raga Ornamentation Detection (ROD) dataset is a curated collection of Hindustani Classical Music (HCM) vocal performances for the study of ornamentations in IAM. It consists of 212 audio files recorded by two expert singers, totalling 4.08 hours of audio.
A novel and ultrasensitive strategy to detect protein CREPT (Cell Regulated and Expression-evaluated Protein in Tumor) in cancer cells using quartz crystal microbalance (QCM) sensor is developed in this study. CREPT is an oncoprotein and plays vital roles in cancer initiation, growth and metastasis via mediating oncogene transcription, and the content of CREPT can reflect the degree of carcinogenesis of tissues and organs. However, there is no rapid, low-cost and ultrasensitive procedure for the quantitative detection of CREPT content in cancer tissues.
The videos in the dataset were captured by Hikvision DS-IPC surveillance camera in a low-light environment.
Many stroke survivors are unable to effectively control brain-computer interface (BCI) devices due to insufficient sensorimotor activity generated during motor imagery. Previous studies focused on upregulating motor cortex excitability and overlooked the important role that motor imagery plays on BCI control. Dorsolateral prefrontal cortex (DLPFC), an important region for motor imagery, may serve as an effective target for improving BCI performance.
A cross-symmetric main&tail inductor with high area utilization is proposed originally. The designed inductor structure has advantages in both lower phase noise and area consumption when applied to LC-VCO. The inductor is composed of a pair of cross-symmetric octagonal main inductor and tail inductor. The tail inductor is used as noise filter, which can effectively suppress phase noise. Due to its cross-symmetric structural characteristics, the tail inductor will not generate obvious magnetic coupling interference with the main inductor.
The Massachusetts dataset, created using vector data from the OpenStreetMap (OSM) platform, was observed to contain various types of labeling errors. Since the OSM data are continuously updated by volunteer contributors, manual data entry may bring the risk of inconsistency and inaccuracy [20]. Also, the resolution of the images exacerbates labeling errors by contributing to problems such as blurred building boundaries [21].
The animated video quality assessment is the emerging area for the research.
To advance real-world applications of non-intrusive load monitoring (NILM), we propose the CMTMU dataset—an innovative dataset that simulates realistic residential power consumption scenarios involving both multiple appliance types and multiple units of the same type. Existing NILM datasets largely overlook such complexity, limiting model generalizability. The CMTMU dataset is constructed by applying an offset-overlay technique to REFIT data, enabling the simulation of concurrent multi-unit appliance usage.
With the introduction of the low-altitude economy concept, the application of electric vertical takeoff and landing (eVTOL) aircraft has become more widespread, particularly in search and rescue missions. However, most of the existing path planning methods cannot effectively cope with dynamic environments and changes in destinations, which limits the ability of eVTOL drones to autonomously perform planning tasks in unknown dynamic environments.
This dataset contains 535 recordings of heart and lung sounds captured using a digital stethoscope from a clinical manikin, including both individual and mixed recordings of heart and lung sounds; 50 heart sounds, 50 lung sounds, and 145 mixed sounds. For each mixed sound, the corresponding source heart sound (145 recordings) and source lung sound (145 recordings) were also recorded. It includes recordings from different anatomical chest locations, with normal and abnormal sounds.
Power systems worldwide are increasingly experiencing the simultaneous failure of multiple components due to severe weather conditions, which are becoming more frequent
This dataset contains road network data with trajectories.
A dataset collected in Carla simulator for low latency crossing pedestrain detection.
Social media has become a significant platform for information dissemination. This study uses X (formerly known as Twitter) to analyze the key characteristics of information that goes viral on social media. A viral tweet is defined as one that receives 1,000 or more retweets. Data were collected from three Malaysian news channels (501Awani, BernamaTV, and fmtoday) between January and October 2024.
There are conductive charging and wireless power transfer (WPT) for electric vehicles (EVs), both of which are required for future charging piles and are usually separately designed and installed. However, two independent solutions increase the total cost, weight, and size of the charging pile. To address this issue, this paper proposes a conductive and wireless power transfer (CWPT) system based on resonant inductor-integrated transformers. Two optimized modulation methods for the multi-inverter are proposed to reduce the switching power losses.
This dataset contains the data used in manuscript: "A Cross-language Analysis of User Reviews on Steam"
