Artificial Intelligence
Identification of changes in pig behavior or interaction such as playing, sniffing, chewing, lying, or aggression is important for taking the necessary action if needed. Manual identification of pig behavior by human observers is not possible because it requires continuous monitoring. It is, therefore, essential to develop an automated method that quantifies pig behavior.
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656 Views
This paper presents a real-time reconfigurable Cyber-Power Grid Operation Testbed (CPGrid-OT) with multi-vendor, industry-grade hardware, and software.
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915 Views
Photo identification (photoID) is a non-invasive technique devoted to the identification of individual animals using photos, and it is based on the hypothesis that each specimen has unique features useful for its recognition. This technique is particularly suitable to study highly mobile and hard to detect marine species, such as cetaceans. These animals play a key role in marine biodiversity conservation because they maintain the stability and health of marine ecosystems due to their apical role as top predators in food webs.
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933 Views
The dataset used in the study consists of different IoT network traffic data files each IoT traffic data has files containing benign, i.e. normal network traffic data, and malicious traffic data related to the most common IoT botnet attacks which are known as the Mirai botnet.
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1125 Views
Ovarian cancer is among the top health issues faced by women everywhere in the world . Ovarian tumours have a wide range of possible causes. Detecting and tracking down these cancers in their early stages is difficult which adds to the difficulty of treatment. In most cases, a woman finds out she has ovarian cancer after it has already spread. In addition, as technology in the field of artificial intelligence advances, detection can be done at an earlier level. Having this data will assist the gynaecologist in treating these tumours as soon as possible.
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2753 Views
痉挛性构音障碍说话者的视听孤立词录音。Subjects include 15 talkers with Cerebral Palsy and 13 age-matched healthy controls. Subjects were recruited based primarily on personal contact facilitated by disability support organizations. Subjects were selected based on self-report of either speech pathology or cerebral palsy. Before data were included in the UA-Speech distribution, the diagnosis of spastic dysarthria (sometimes mixed with other forms of dysarthria) was informally confirmed by a certified speech-language pathologist listening to these recordings.
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2839 Views
In this study, 31 Chinese patients diagnosed with depression (mean age 26.60±9.21) and 33 healthy control participants (mean age 26.00±7.36) participated, during which emotional picture descriptions and interview dialogues are collected. The experiment underwent review and received approval from the hospital's Bioethics Committee and the school's Medical Ethics Committee, and all the participants signed for the informed consent.
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636 Views
Replication data for the fsQCA model in: "Why do companies employ prohibited unethical artificial intelligence practices?"
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109 Views
We release MarsScapes, the first panorama dataset for Martian terrain understanding. The dataset contains 195 panoramas of Mars surface with fine-grained annotations for semantic and instance segmentation, facilitating high-level scene understanding of Martian landforms and further enhancing the navigability of rovers over rough terrains in large areas. Note: Limited by the file size, we temporarily submit the first half of MarsScapes (i.e. from 122_1 to 527_1) as a representative subset. All samples will be provided after our paper is accepted.
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310 Views
Deep learning has revolutionized the field of robotics. To deal with the lack of annotated training samples for learning deep models in robotics, Sim-to-Real transfer has been invented and widely used. However, such deep models trained in simulation environment typically do not transfer very well to the real world due to the challenging problem of “reality gap”. In response, this letter presents a conceptually new Digital Twin (DT)-CycleGAN framework by integrating the advantages of both DT methodology and the CycleGAN model so that the reality gap can be effectively bridged.
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186 Views