Post date: Nov 30, 2021 6:13:59 AM
T Delsart, D Bol
… Furthermore, audio monitoring in forests also allows fighting animal poaching and
positively impacts wildlife conservation by monitoring bird … aims to present in
detail the convolutional neural network architecture, which is one of the most well-known …
D Huang, H Zhang, X Song, R Shibasaki - arXiv preprint arXiv:2111.10785, 2021
… that state-of-theart approaches cannot detect resampling in re-compressed
images initially … neural network language model,” in 2011 IEEE international
conference on acoustics, speech … mIoU aero bike bird boat bottle bus car cat chair …
I López-Espejo, ZH Tan, J Hansen, J Jensen - arXiv preprint arXiv:2111.10592, 2021
… ABSTRACT Spoken keyword spotting (KWS) deals with the identification of
keywords in audio streams and has become a fast-growing … to a compact speech
representation, 2) the deep learning-based acoustic model producing posteriors …
MMM Nadzri - Journal of Tomography System and Sensor Application, 2021
… In 2015, a system to detect poaching activity in a forest was designed using
acoustic sensors in [20]. By using the … With the application purpose to monitor the
birds, an acoustic signal is a successful approach where the system is capable to …
S Kumar, EG Rajan, S Rani - … Computer Interaction Based on Machine Learning …, 2022
… The exhibition of the profound learning technique for acknowledging the face is
better than the condition of craftsmanship strategy as per the discoveries. Giovanni
Poggi et al.[37] utilized a nearby component-based strategy for biometric framework [3] …
P Nandi, D Das - Proceedings of International Conference on Data …, 2022
… of performance have been witnessed by applying various machine learning or
deep learning models. The focus of the present paper is to … Attention-based
recurrent neural network models for joint intent detection and slot filling. In: Nelson …
JH Lee, HJ Kvinge, S Howland, Z New, J Buckheit… - arXiv preprint arXiv …, 2021
… Transfer learning (TL) leverages previously obtained knowledge to learn new
tasks efficiently and has been used to train deep learning (DL) models with limited
amount of data. When TL is applied to DL, pretrained (teacher) models are fine-tuned …
C Jung, M Abuhamad, D Mohaisen, K Han, DH Nyang - 2021
… process through WBC segmentation, detection, and classification. Despite these
numerous … Further, we investigate the performance of several deep learning
architectures in performing … first experiment was to run W-Net on 200 classes (bird …
T TUNCER, E Aydemir, F ÖZYURT, S Dogan… - … Advanced Researches and …, 2021
… Gamma and delta coronavirus tend to infect birds. Alpha and Beta coronaviruses
have … Ucar and Korkmaz [21] proposed a deep learning-based method using
chest Xrays. Accuracy, … In this study, our aim is to detect Covid-19 with …
K Dialektopoulos, JL Said, J Mifsud, J Sultana… - arXiv preprint arXiv …, 2021
… [141– 148] were consulted in the case of H(z) measurements extracted from the
detection of radial baryonic acoustic oscillation (BAO) features under a ΛCDM prior.
Henceforth, we will be referring to this joint CC and BAO H(z) data set by CC+BAO …
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