SoundHound AI and C3.ai were both developing AI-powered products long before the generative AI boom started in late 2022. C3.ai trades at 5.5 times sales, while SoundHound AI commands a much steeper ...
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards wirelss broadband connections. Accurate channel estimation continues to be an unsolved issue in ...
Abstract: Plant diseases have important consequences for livelihoods and economies, both on local and global scales, whereby the spread of plant pathogens can lead to high levels of damage to ...
Abstract: Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach ...
Abstract: Job Shop Scheduling Problem (JSP) is common in modern factories, but traditional dispatching rules (DR) and heuristic algorithms (HA) struggle with the increasing complexity of manufacturing ...
The city of Charlotte is contending with another stabbing on its light rail system, months after the fatal stabbing of a Ukrainian refugee served as a flashpoint for the crime debate in major American ...
Abstract: Periodic repetitive tasks are common in industrial production, especially in intelligent equipment for batch processing. This paper studies the disturbance suppression problem of linear ...
Netflix has announced plans to acquire Warner Bros. Discovery’s film and TV studios, including HBO and HBO Max, but not its traditional TV networks. Networks like CNN, HGTV, TLC, TBS, and TNT will be ...
Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
OMAHA, Nebraska (KETV) -- A masked man broke into a game machine at a laundromat near 60th and Ames, stealing over $11,000 in cash. The incident happened on the night of Nov. 10. The suspect was seen ...
Abstract: Aiming at the problem that most thermal error prediction models for machine tools adopt a single neural network architecture, which is difficult to ...
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