Artificial Intelligence
This is the first multi-view, semi-indoor gait dataset captured with the DAVIS346 event camera. The dataset comprises 6,150 sequences, capturing 41 subjects from five different view angles under two lighting conditions. Specifically, for each lighting condition and view angle, there are six sequences representing normal walking (NM), three sequences representing walking with a backpack (BG), three sequences representing walking with a portable bag (PT), and three sequences representing walking while wearing a coat (CL).
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87 Views
¢This study delves into the connections between green ELT, DEIB, virtual reality, mediation, life skills, and task-based teaching, learning, and assessment in the context of sustainable and inclusive education. The study emphasizes the significance of incorporating ecological concepts into language instruction, advocating for diversity, fairness, and inclusivity in learning environments, and using virtual reality technology to augment language acquisition.
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141 Views
Human facial data hold tremendous potential to address a variety of classification problems, including face recognition, age estimation, gender identification, emotion analysis, and race classification. However, recent privacy regulations, such as the EU General Data Protection Regulation, have restricted the ways in which human images may be collected and used for research.
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334 Views
This is a dataset about minimizing maritime passenger transfer in ship routing. Consists of data on the distance between ports, the number of passengers from the port of origin to the port of destination, ships speed, and the duration of berthing at ports.
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404 Views
This archive includes three popular traffic datasets: Abilene, GEANT, and TaxiBJ.
Abilene and GEANT is network traffic datsets and TaxiBJ is urban traffic datset.
This archive includes three popular traffic datasets: Abilene, GEANT, and TaxiBJ.
Abilene and GEANT is network traffic datsets and TaxiBJ is urban traffic datset.
This archive includes three popular traffic datasets: Abilene, GEANT, and TaxiBJ.
Abilene and GEANT is network traffic datsets and TaxiBJ is urban traffic datset.
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850 Views
The rise in Generative Artificial Intelligence technology through applications like ChatGPT has increased awareness about the presence of biases within machine learning models themselves. The data that Large Language Models (LLMs) are trained upon contain inherent biases as they reflect societal biases and stereotypes. This can lead to the further propagation of biases. In this paper, I establish a baseline measurement of the gender and racial bias within the domains of crime and employment across major LLMs using “ground truth” data published by the U.S.
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301 Views
The data was collected by outfitting one of the players with the experimental balloon, which incorporated the embedded circuit and sensors. The sensors positioned at the top-right to the player within the bubble balloon, where a player stand inside. The sensors' data were collected at specific sampling frequencies (Accelerometer: 1000Hz, Gyroscope: 1000Hz, and Pressure: 40Hz). The experiment was conducted involving five different players. This approach allowed for the inclusion of diverse data samples, taking into account variations in player metrics, movements, and gameplay dynamics.
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174 Views
Recently, contactless hand biometrics authentication has become increasingly popular among biometric researchers. These systems offer several advantages over traditional hand identification systems, including ease of capture and affordability, as they do not require the user’s hand to make direct contact with the sensor.
The Mobile Hand Biometrics (MHB) dataset includes images of fingerprint, palmprint, and hand geometry. These images are captured with a mobile camera without any physical contact, with no lighting conditions, and in free positions.
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144 Views
Developing mind-controlled prosthetics that seamlessly integrate with the human nervous system is a significant challenge in the field of bioengineering. This project investigates the use of labelled brainwave patterns to control a bionic arm equipped with a sense of touch. The core objective is to establish a communication channel between the brain and the artificial limb, enabling intuitive and natural control while incorporating sensory feedback.
The project involves:
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532 Views
Early detection of kidney illness can be achieved by training machine learning algorithms to discover patterns in patient data, such as imaging, test results, and medical history. This will enable rapid diagnosis and start of treatment regimens, which can improve patient outcomes. With 98.97% accuracy in CKD detection, the suggested TrioNet with KNN imputer and SMOTE fared better than other models. This comprehensive research highlights the model's potential as a useful tool in the diagnosis of chronic kidney disease (CKD) and highlights its capabilities.
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964 Views