Titlebook: Innovations in Computational Intelligence and Computer Vision; Proceedings of ICICV Satyabrata Roy,Deepak Sinwar,João Manuel R. S. Tav Conf

Tincture

Image Restoration from Weather Degraded Images Using Markov Random Field,e-consuming task. Single image haze removal remains one of the most challenging tasks in image processing. Two of the most efficient method used for image recovery are dark channel prior and colour attenuation prior. Both these methods require an extra filter, such as a guided filter, for refining t

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Enzyme

LeafViT: Vision Transformers-Based Leaf Disease Detection,od integrity. Traditional methods of detecting diseases in plants involve visual inspection by humans which is error-prone and cumbersome. Advances in deep learning architectures rely on convolutional neural networks (CNNs) and have achieved promising results in agricultural domain. However, detecti

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Conversion of Satellite Images to Google Maps Using GAN,o-date and accurate maps. Conventional map generation involves labor-intensive methods as well as time-consuming manual efforts, which can restrict the updating frequency of maps to a few years or even longer. In recent years, satellite images have become more ubiquitous, and converting them to map-

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,Investigation of Widely Used Implicit and Explicit Communication in Crossing-Decision of Pedestriannt among them which gesture is widely followed before crossing the road is still not known. The aim of this study is to identify that which gesture or combination of gestures is widely followed by Pedestrian before crossing the road to prevent any mishap. A video-based observation is carried out to

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,Neuroinformatics Deep Learning Synthesizer Based on Impulse Control Disorder Using LSTM Cells,medical analysis and identification. Given a person who stays in a remote area far from a healthcare facility, or doesn’t have the financial means to pay their clinic bill, or don’t have the time to take sick leave from their jobs. In such a case, disease prediction using excessive-cease state-of-th

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消毒

,Classification of Bipolar Disorder Using Deep Learning Models on fMRI Data,e diseases are either inherited or the result of parental exposure to great stress and worry during a child’s formative years. Using machine learning models to predict such diseases has been widely adopted, but deep learning models are gone unseen. Our experiments are conducted on fMRI datasets cons

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