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Skin cancer can be detected through visual screening and skin analysis based on the biopsy and pathological state of the human body. The survival rate of cancer patients is low, and millions of people are diagnosed annually. By determining the different comparative analyses, the skin malignancy classification is evaluated. Using the Isomap with the vision transformer, we analyze the high-dimensional images with dimensionality reduction. Skin cancer can present with severe cases and life-threatening symptoms. Overall performance evaluation and classification tend to improve the accuracy of the high-dimensional skin lesion dataset when completed. In deep learning methodologies, the distinct phases of skin malignancy classification are determined by its accuracy, specificity, F1 recall, and sensitivity while implementing the classification methodology. A nonlinear dimensionality reduction technique called Isomap preserves the data's underlying nonlinear relationships intact. This is essential for the categorization of skin malignancies, as the features that separate malignant from benign skin lesions may not be linearly separable. Isomap decreases the data's complexity while maintaining its essential characteristics, making it simpler to analyze and explain the findings. High-dimensional datasets for skin lesions have been evaluated and classified more effectively when evaluated and classified using Isomap with the vision transformer. [ABSTRACT FROM AUTHOR]

In this article, the practicability of introduction of computer multimedia as an educational tool was compared with the traditional approach for training sugarcane growers in ratoon management practices in three villages of Tamil Nadu state, India using pre-test, post-test control group experimental design. A CD-ROM was developed as a multimedia resource to support the training process using Macromedia Flash as the authorware. Three modes of message delivery--traditional lecture alone, lecture followed by multimedia and multimedia alone were analyzed for their effectiveness in terms of knowledge gain, learning index and extent of adoption. The group which was exposed to lecture followed by multimedia had better knowledge gain and learning index. Farmers perceived that the use of different multimedia building blocks made it an interesting and educative tool. The message, when given through lecture alone was perceived as boring and monotonous with limited attention span. The extent of adoption of ratoon management practices was almost on par; however the group which had received instructions through lecture followed by computer multimedia had a better adoption rate. Such a comparative analysis is an opportunity for a better understanding of the role that multimedia could play in technology transfer to farmers. (Contains 6 tables.)