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A new era of modeling MOF-based membranes: Cooperation of theory and data science
(Wiley, 2024-01)
Membrane-based separation can offer significant energy savings over conventional separation methods. Given their highly customizable and porous structures, metal–organic frameworks- (MOFs) are considered as next-generation ...
Lump solutions of the fractional Kadomtsev–Petviashvili equation
(Springer, 2024-01)
Of concern is the fractional Kadomtsev–Petviashvili (fKP) equation and its lump solution. As in the classical Kadomtsev–Petviashvili equation, the fKP equation comes in two versions: fKP-I (strong surface tension case) and ...
Towards interactive explanation-based nutrition virtual coaching systems
(Springer, 2024-01)
The awareness about healthy lifestyles is increasing, opening to personalized intelligent health coaching applications. A demand for more than mere suggestions and mechanistic interactions has driven attention to nutrition ...
An efficient versatile video coding motion estimation hardware
(Springer, 2024-04)
Versatile Video Coding (VVC) is the latest video coding standard. It provides higher compression efficiency than the previous video coding standards at the cost of significant increase in computational complexity. Motion ...
Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources
(Springer, 2024-02-12)
Speech synthesis has made significant strides thanks to the transition from machine learning to deep learning models. Contemporary text-to-speech (TTS) models possess the capability to generate speech of exceptionally high ...
A predictive multistage postdisaster damage assessment framework for drone routing
(Wiley, 2024-01)
This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an ...
CL-FedFR: Curriculum learning for federated face recognition
(SciTePress, 2024-02-29)
Face recognition (FR) has been significantly enhanced by the advent and continuous improvement of deep
learning algorithms and accessibility of large datasets. However, privacy concerns raised by using and distributing
face ...
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