OCR technology is a method that converts text in images into machine-readable text. Its core principle involves using optical scanning devices (such as scanners or cameras) to convert textual ...
Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
Original invoice images often suffer from issues such as uneven lighting, skewing, creases, and background interference. The system first employs techniques like image filtering, binarization, and ...
Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
Photometric redshift estimation is a critical component in large-scale galaxy surveys, enabling researchers to estimate distances to billions of galaxies without requiring time-intensive spectroscopic ...
This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback