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Research from all publishers Recent research in image processing has witnessed substantial progress driven by the integration of deep learning with classical techniques.
Image Processing and Optimization Techniques Publication Trend The graph below shows the total number of publications each year in Image Processing and Optimization Techniques.
What is CMOS 2.0? At its core, CMOS 2.0 is an effort to move beyond the limitations of a single monolithic die. Rather than ...
The emergence of Industry 5.0 marks a paradigm shift toward human-centric, sustainable, and resilient manufacturing. Unlike ...
MIT developed a deep learning system that lets soft robots follow commands from a single image, enabling accurate, low-cost ...
Conventional handheld photoacoustic and ultrasound Imaging (PAUS), while offering flexibility, offers only a narrow view of the target region, providing limited information on its structure.
EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...
AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...
Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid to operate in confined spaces and uneven terrain. Soft, bio-inspired ...
By learning the relevant features of clinical images along with the relationships between them, the neural network can ...
In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...