Enhanced leak detection in water distribution systems using GFCC-based signal processing techniques
Leak detection in water distribution systems remains a significant challenge, especially for small-scale leaks masked by noise. This study proposes an advanced signal processing approach using Gammatone Frequency Cepstral Coefficients (GFCC) combined ...
, R Mamat, Mohd Fairusham Ghazali
exaly +4 more sources
Escherichia coli O127 group 4 capsule proteins assemble at the outer membrane [PDF]
Enteropathogenic Escherichia coli O127 is encapsulated by a protective layer of polysaccharide made of the same strain specific O-antigen as the serotype lipopolysaccharide. Seven genes encoding capsule export functions comprise the group 4 capsule (gfc)
Matthew R. Larson +5 more
doaj +4 more sources
Structural analysis of human CEACAM1 oligomerization [PDF]
The crystal structure of human CEACAM1 IgV oligomer and structural analyses provide insight into higher-order oligomerization involving GFCC’ face-mediated homodimerization, flexible ABED interfaces, and dynamic metal-ion bridging.
Amit K. Gandhi +7 more
doaj +2 more sources
Using CCA-Fused Cepstral Features in a Deep Learning-Based Cry Diagnostic System for Detecting an Ensemble of Pathologies in Newborns [PDF]
Crying is one of the means of communication for a newborn. Newborn cry signals convey precious information about the newborn’s health condition and their emotions.
Zahra Khalilzad, Chakib Tadj
doaj +2 more sources
Infant Cry Signal Diagnostic System Using Deep Learning and Fused Features [PDF]
Early diagnosis of medical conditions in infants is crucial for ensuring timely and effective treatment. However, infants are unable to verbalize their symptoms, making it difficult for healthcare professionals to accurately diagnose their conditions ...
Yara Zayed, Ahmad Hasasneh, Chakib Tadj
doaj +2 more sources
Suitability of the global forest cover change map to assess climatic megadisturbance impacts on remote tropical forests [PDF]
The occurrence and combination of extreme meteorological events may lead to severe (megadisturbance) impacts on conserved forests and protected areas all over the world.
Tatiana Geler Roffe +2 more
doaj +2 more sources
Speech impairment detection in children using time frequency features of speech and deep learning techniques [PDF]
Speech impairment in children is nowadays occurring more commonly than in earlier days. It is necessary to detect the impairment in speech as early as possible to provide therapeutic treatments.
Manisa Manoswini +6 more
doaj +2 more sources
A Two-Level Speaker Identification System via Fusion of Heterogeneous Classifiers and Complementary Feature Cooperation [PDF]
We present a new architecture to address the challenges of speaker identification that arise in interaction of humans with social robots. Though deep learning systems have led to impressive performance in many speech applications, limited speech data at ...
Mohammad Al-Qaderi +2 more
doaj +2 more sources
Explainable AI for forensic speech authentication within cognitive and computational neuroscience [PDF]
The proliferation of deepfake technologies presents serious challenges for forensic speech authentication. We propose a deep learning framework combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks to improve detection
Zhe Cheng +4 more
doaj +2 more sources
Structural basis of the dynamic human CEACAM1 monomer-dimer equilibrium [PDF]
To understand how hCEACAM1 transitions between monomeric and dimeric states that are required for its activity, Gandhi et al. investigate hCEACAM1 homodimeric, monomeric, and transition states and their behavior in solution.
Amit K. Gandhi +10 more
doaj +2 more sources

