sound, noise, musical notes, or any other similar type of data to classify them accordingly. The audio data that is available to us can occur in numerous forms, such as sound from acoustic devices, musical chords from instruments, human speech, or even naturally occurring sounds like the chir...
TD-NMR relaxometry and diffusimetry, using benchtop, low field instruments have been widely used for quantitative and qualitative food analyses [19], [20], [21], [22], [23]. Time-domain NMR has been used to determine ripeness, defects, and quality of fresh fruits and vegetables such as ...
clear definitions for each category, are easy to use, have a clear hierarchical structure and a comprehensive description of the causes of DRPs [30]. Their use has been shown to improve effectiveness (how well it works) and efficiency (how well it is performed) of pharmaceutical care in add...
This Sub-Industry includes credit bureaus & credit agencies and companies involved in management consulting services, architectural design, business information or scientific research, marketing, and testing & certification services. It also includes providers of data, content and tools for diverse ...
1.1275-6. If a debt instrument is issued at a discount, holders of the instrument generally must include the amount of the discount in income over the life of the debt. When taxpayers issue certain qualifying debt instruments and contemporaneously enter into a related hedging position, relevant ...
two of these datasets are considered to assay the robustness and resiliency of our method against altering imaging instruments and staining techniques that can be treated as generalization power. In the real world, the generalizability of the intelligence systems is a very important ability, and it ...
Credit: Zsolt Frei, Institute of Physics, Eötvös University, Budapest. Automatic galaxy classification has been addressed by various authors and different approaches, such as neural networks (Domínguez Sánchez et al., 2018; Kim and Brunner, 2017; Ball et al., 2004; Bazell, 2000; Goderya...
This work examines the application of machine learning (ML) algorithms to evaluate dissolved gas analysis (DGA) data to quickly identify incipient faults in oil-immersed transformers (OITs). Transformers are pivotal equipment in the transmission and dist
diagnoses [6]. In addition, handheld probes are highly sensitive instruments, which makes them susceptible to capturing noise in addition to the ultrasonic images; consequently, it is difficult to properly perform the diagnosis process [7]. Hence, there is an urgent need to develop structured and...
(2024) Embrapa instruments.https://www.embrapa.br. Accessed 30 August 2024 Abuhayi BM, Mossa AA (2023) Coffee disease classification using convolutional neural network based on feature concatenation. Inform Med Unlocked 39:101245.https://doi.org/10.1016/j.imu.2023.101245 ...