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This technique is particularly useful for problems that involve finding subarrays or subsequences that meet specific criteria. For instance, in array manipulation or string processing, a sliding window can efficiently identify patterns or trends within a given set of data. In the context of image processing, sliding windows can be utilized for object detection or feature extraction. The window moves across the image, analyzing each section to identify relevant patterns or objects. This approach is common in computer vision tasks, allowing algorithms to recognize and locate objects within an image.