In this article we introduce a malaria infected microscopic images dataset for contrast enhancement which assist for malaria diagnosis more accurately. The dataset contains around two hundred malaria infected, normal, species and various stages of microscopic blood images. We propose and experimentally demonstrate a contrast enhancement technique for this dataset. This simple technique increases the contrast of an image and hence, reveals significant information about malaria infected cells. Experiments on the dataset show the superior performance of our proposed method for contrast enhancement of malaria microscopic imaging.

Most e-commerce market platforms are improving their competitive benchmarks with continuously improving AI-based review analysis tools. Today, product review analysis is being prioritized from small to large companies to achieve parallel goals. Working with user text reviews that are coupled with diversifying sentiments, the market is now facing the real challenge of finding a perfect sentiment analysis approach that can meet business needs. This work presents a Gaussian Mixture Model (GMM) tokenizer to perform N-gram analysis on text. The proposed approach was compared with the LSTM baseline classifier on Amazon product reviews, and the experimental results showed that the GMM N-gram LSTM model outperformed the baseline LSTM. The accuracy of the proposed model was 85%, significantly better than the baseline LSTM (77%).

The cloud computing has elegantly emerged as a unique category of computing which is invariably dependent on sharing computing resources reasonably possessing the local servers or personal devices to successfully address the applications. For the purpose of effectively overcoming the related issues, an optimal blowfish algorithm-based approach is envisioned for the effective encryption and decryption. In the relative step, an innovative signcryption algorithm is elegantly employed for signature authentication. The key manager is entrusted with the task of authenticating the policy related to the file. If the policy precisely corresponds to the file name, then an identical public key is created. If not, a new public key is generated and with the help of public key and private key, the file is encrypted and uploaded into the cloud. The proposed method provides higher security in terms of the data usage for individual persons.