SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence.

Artificial Intelligence techniques are being used to analyse vast amounts of medical data and assist in the accurate and early diagnosis of diseases. The common brain related diseases are faced by most of the people which affects the structure and function of the brain. Artificial neural networks have been extensively used for disease prediction and diagnosis due to their ability to learn complex patterns and relationships from large datasets.

ProTect: a hybrid deep learning model for proactive detection of cyberbullying on social media.

The emergence of social media has given rise to a variety of networking and communication opportunities, as well as the well-known issue of cyberbullying, which is continuously on the rise in the current world. Researchers have been actively addressing cyberbullying for a long time by applying machine learning and deep learning techniques. However, although these algorithms have performed well on artificial datasets, they do not provide similar results when applied to real-time datasets with high levels of noise and imbalance.

Optimizing QoS and security in agriculture IoT deployments: A bioinspired Q-learning model with customized shards.

Agriculture Internet of Things (AIoTs) deployments require design of high-efficiency Quality of Service (QoS) & security models that can provide stable network performance even under large-scale communication requests. Existing security models that use blockchains are either highly complex or require large delays & have higher energy consumption for larger networks. Moreover, the efficiency of these models depends directly on consensus-efficiency & miner-efficiency, which restricts their scalability under real-time scenarios.

A novel artificial intelligence approach to detect the breast cancer using KNNet technique with EPM gene profiling.

Women's most frequent type of cancer is breast cancer, second only to lung cancer. This paper summarizes changes in genomics and epigenetics and incremental biological activities. A tumour develops through a series of phases involving a separate abnormal gene.

Synthesis, Characterization, and Evaluation of Cancer Prevention Activity of Novel Modified Heterocyclic Compounds.

Anticancer approaches may employ change of molecular structure to enhance preventive influence of chemical agents. The present examination concerned the potential anticancer impact of modified heterocyclic compounds. A strategy was developed to combine tetrazole moieties from different diamines with 2-aminobenzoic and substituted benzoyl chloride compounds with attention to synthesis, characterization and assessment of cancer preventive activity, applying IR, 1HNMR, 13CNMR and Mass spectra.

Automatic Classification on Bio Medical Prognosisof Invasive Breast Cancer.

Breast Cancer one of the appalling diseases among the middle-aged women and it is a foremost threatening death possibility cancer in women throughout the world. Earlier prognosis and preclusion reduces the conceivability of death. The proposed system beseech various data mining techniques together with a real-time input data from a biosensor device to determine the disease development proportion.