Results 71 to 80 of about 8,338,200 (223)
Remote Sensing in Ecology and Conservation, EarlyView.Can deep learning reliably detect a threatened species in passive acoustic monitoring with few annotations? Across 52 sites and 600 recording days, we compared two deep learning recognizers with the traditional machine learning Kaleidoscope for detecting African manatee vocalizations.
Lucas Dubus +7 more
wiley +1 more source
Safety Science and Technology, EarlyView.Molten aluminum–water explosion triggered by leakage remains the core unresolved safety hazard hindering safe production in aluminum direct chill casting. This review summarizes its explosion mechanism, key influencing factors, prevention technologies, existing gaps, and prospects of intelligent multi‐technology integrated explosion‐proof systems ...
Min Wang +5 more
wiley +1 more source
IEEE AccessMusic genre classification is a fundamental task in music information retrieval, audio signal processing, recommendation systems, and digital music resource management.
Yuchen Guo
doaj +1 more source
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley +1 more source
Non-Intrusive Air Traffic Control Speech Quality Assessment with ResNet-BiLSTM
Applied Sciences, 2023 In the current field of air traffic control speech, there is a lack of effective objective speech quality evaluation methods. This paper proposes a new network framework based on ResNet–BiLSTM to address this issue.
Yuezhou Wu, Guimin Li, Qiang Fu
doaj +1 more source
Graph Embedding With Mel-Spectrograms for Underwater Acoustic Target Recognition
IEEE Journal of Oceanic EngineeringUnderwater acoustic target recognition (UATR) is extremely challenging due to the complexity of ship-radiated noise and the variability of ocean environments. Although deep learning (DL) approaches have achieved promising results, most existing models implicitly assume that underwater acoustic data lie in a Euclidean space. This assumption, however, is
Sheng Feng, Shuqing Ma, Xiaoqian Zhu
openaire +3 more sources
Animal inspired Application of a Variant of Mel Spectrogram for Seismic Data Processing
CoRR, 2021 6 pages, 5 figures, 1 ...
Samayan Bhattacharya, Sk Shahnawaz
openaire +2 more sources
DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 more
wiley +1 more source
Integrative Zoology, EarlyView.Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang +8 more
wiley +1 more source
Respiratory Rate Estimation from Audio Using Object Detection with Learnable Spectrograms
Applied SciencesSound event detection models commonly rely on spectrogram representations of audio signals and recent approaches have adapted image-based object detection architectures to acoustic domains.
Bernhards Bertulis +2 more
doaj +1 more source