Results 61 to 70 of about 2,629 (200)

Dilated-Convolutional Recurent Neural Network untuk Klasifikasi Genre Musik

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Dalam era digital, pemanfaatan teknologi untuk mengelompokkan genre musik secara otomatis menjadi sangat penting, terutama untuk aplikasi seperti rekomendasi musik, analisis tren musik, dan pengelolaan perpustakaan musik digital.
Mochammad Rizqul Fatichin, Alfado Rafly Hermawan, Raynaldi Anggiat Samuel Siahaan, Rarasmaya Indraswari   +3 more
doaj   +1 more source

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen, Li‐Minn Ang, Chee Shen Lim, Kah Phooi Seng, Jeremy Smith   +4 more
wiley   +1 more source

Spoken Language Identification System Using Convolutional Recurrent Neural Network

Applied Sciences, 2022
Following recent advancements in deep learning and artificial intelligence, spoken language identification applications are playing an increasingly significant role in our day-to-day lives, especially in the domain of multi-lingual speech recognition. In
Adal A. Alashban, Mustafa A. Qamhan, Ali H. Meftah, Yousef A. Alotaibi   +3 more
doaj   +1 more source

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López, Llanos Tobarra, Antonio Robles‐Gómez, Rafael Pastor‐Vargas   +3 more
wiley   +1 more source

Genetically predicted KIR2DS4 mediate the association between gut microbe K10 and osteoporosis fractures: A mediation Mendelian randomization study

PM&R, Volume 18, Issue 4, Page 426-442, April 2026.
Abstract Background Osteoporosis fractures pose a significant public health concern, leading to substantial morbidity and mortality rates. The emerging evidence on the potential link between gut microbiota, proteins, and osteoporosis fractures suggests a complex relationship that warrants further investigation.
Qiong Wang, Qing Kuang, Cheng Chen, Binru Wang, Wei Xiang, Xinming Li, Jianjiao Mou   +6 more
wiley   +1 more source

Artificial Intelligence in Gastrointestinal Motility Diagnostics: A Systematic Review

Neurogastroenterology &Motility, Volume 38, Issue 4, April 2026.
Artificial Intelligence shows strong potential to improve the accuracy, efficiency, and standardization of gastrointestinal motility diagnostics. In time, this will improve patient care, but for now the referenced studies throughout the GI tract lack the required rigor for clinical implementation. ABSTRACT Background The assessment of gastrointestinal (
Dylan Muggleston, Greg O'Grady, Chris Varghese, Christopher Andrews   +3 more
wiley   +1 more source

Speaker Identification in Different Emotional States in Arabic and English

IEEE Access, 2020
Speaker recognition is an important application of digital speech processing. However, a major challenge degrading the robustness of speaker-recognition systems is variation in the emotional states of speakers, such as happiness, anger, sadness, or ...
Ali Hamid Meftah, Hassan Mathkour, Said Kerrache, Yousef Ajami Alotaibi   +3 more
doaj   +1 more source

Joint recognition and localization of gunshot based on deep learning [PDF]

Zhihui kongzhi yu fangzhen
In response to the existing gun sound recognition and positioning tasks, which require separate identification and positioning, resulting in time-consuming computation, system redundancy, and complex development processes, this paper proposes to use a ...
MA Mingxing, LI Jian, ZENG Yuan, HE Bin, PANG Runjia
doaj   +1 more source

Multi-Scale Convolutional Recurrent Neural Network for Bearing Fault Detection in Noisy Manufacturing Environments

Applied Sciences, 2021
The failure of a facility to produce a product can have significant impacts on the quality of the product. Most equipment failures occur in rotating equipment, with bearing damage being the biggest cause of failure in rotating equipment.
Seokju Oh, Seugmin Han, Jongpil Jeong
doaj   +1 more source

FNDC1 Competitively Binds Gβ2 to Suppress the β‐Catenin–Destruction Complex and Promote Gastric Cancer Malignancy

The FASEB Journal, Volume 40, Issue 6, 31 March 2026.
FNDC1 competitively binds Gβ2 to suppress the β‐catenin–destruction complex and promote the malignant behavior of gastric cancer (GC) by the following mechanism: elevated FNDC1 competes with Dvl for binding to Gβ2, thereby reducing Dvl–Gβ2 interaction; this reduction inhibits Dvl degradation in the cytoplasm; increased Dvl recruits Axin1, thereby ...
Wenyu Gao, Hao Chen, Fangyu Lin, Jialin Liu, Tingxuan Huang, Han Wang, Xiaojiao Weng, Xinli Wang, Xiaoyan Lin, Tao Jiang   +9 more
wiley   +1 more source