Results 101 to 110 of about 15,429 (227)
On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection
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 +3 more
wiley +1 more source
Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT
Five-dimensional (5-D) light field videos (LFVs) capture spatial, angular, and temporal variations in light rays emanating from scenes. This leads to a significantly large amount of data compared to conventional three-dimensional videos, which capture ...
Braveenan Sritharan +4 more
doaj +1 more source
AIEgens: An Exemplary Template for “One‐for‐All” Multimodal Phototheranostics
This review establishes a consensus that AIEgens serve as a quintessential template for “one‐for‐all” multimodal phototheranostics and systematically articulates the underlying rationale from a photophysical perspective. It comprehensively examines corresponding molecular engineering principles and performance optimization tactics, framed within the ...
Miaomiao Kang +9 more
wiley +1 more source
ABSTRACT Flood mapping is critical for flood forecasting, preparedness, and risk management. In the United States, multiple federal agencies and organizations generate or archive flood inundation maps (FIM) using diverse models, data sources, and standards.
Pitamber Wagle +10 more
wiley +1 more source
A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment. [PDF]
Sharma U, Sood M, Puthooran E.
europepmc +1 more source
ABSTRACT This work presents novel structure‐preserving formulations for stable model order reduction in the context of time‐domain room acoustics simulations. A solution to address the instability in conventional model order reduction formulations based on the Linearized Euler Equations is derived and validated through numerical experiments.
Satish Bonthu +4 more
wiley +1 more source
This work demonstrates thin‐film lithium niobate Mach–Zehnder modulators. One of these modulators achieves a voltage‐length product of 0.1 V cm, a driving voltage of 1 V, a device length of 1 mm, and a bandwidth exceeding 200 GHz. A high‐permittivity cladded Bragg grating waveguide is utilized to enhance modulation efficiency, enabling low‐voltage and ...
Zobeyde Dadkhah +2 more
wiley +1 more source
Background: Electrocardiogram (ECG) signals are crucial for cardiovascular diagnosis, but their analysis face challenges from noise contamination, compression difficulties due to their non-stationary nature, and the inherent complexity of its ...
Fars Samann, Thomas Schanze
doaj +1 more source
Compression of spectral meteorological imagery [PDF]
Data compression is essential to current low-earth-orbit spectral sensors with global coverage, e.g., meteorological sensors. Such sensors routinely produce in excess of 30 Gb of data per orbit (over 4 Mb/s for about 110 min) while typically limited to ...
Miettinen, Kristo
core +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source

