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Titlebook: Emerging Trends and Advanced Technologies for Computational Intelligence; Extended and Selecte Liming Chen,Supriya Kapoor,Rahul Bhatia Book

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11#
發(fā)表于 2025-3-23 12:42:56 | 只看該作者
Colour-Preserving Contrast Enhancement Algorithm for Images,o different images because their processing parameters must be specified manually to produce a satisfactory result for a given image. This work presents a colour-preserving contrast enhancement (CPCE) algorithm for images. Modification to images was performed in the HSV colour-space. The Hue compone
12#
發(fā)表于 2025-3-23 14:45:01 | 只看該作者
13#
發(fā)表于 2025-3-23 19:09:01 | 只看該作者
A Class-Based Strategy to User Behavior Modeling in Recommender Systems,users. The estimation of the interest of a user toward an item, however, is usually performed at the level of a single item, i.e., for each item not evaluated by a user, canonical approaches look for the rating given by similar users for that item, or for an item with similar content. Such approach
14#
發(fā)表于 2025-3-23 23:22:34 | 只看該作者
15#
發(fā)表于 2025-3-24 04:42:21 | 只看該作者
Automatic Detection and Severity Assessment of Crop Diseases Using Image Pattern Recognition,e disease, and determining whether preventive treatments are worthwhile or particular control strategies could be taken. In this work, we propose to make advances in the field of automatic detection and diagnosis and severity assessment of crop diseases using image pattern recognition. We have devel
16#
發(fā)表于 2025-3-24 08:52:23 | 只看該作者
Image Complexity and Visual Working Memory Capacity,b site design, the mismatch between the target objects and the real salient objects can represent the degree of image complexity which is an important reason of low efficiency and unpleasant reading. Many psychological experiments have also shown the effect of image complexity on short term memory.
17#
發(fā)表于 2025-3-24 12:24:44 | 只看該作者
18#
發(fā)表于 2025-3-24 15:43:01 | 只看該作者
A Real-Time Stereo Vision Based Obstacle Detection,ocessing is performed on a subset of points. The proposed method begins by extracting the pixel primitives from a pair images. Then, a detection of the ground is made to limit obstacles area using color information. Subsequently, an extraction of subset of points is performed using the features extr
19#
發(fā)表于 2025-3-24 20:44:22 | 只看該作者
20#
發(fā)表于 2025-3-25 02:05:11 | 只看該作者
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