Advancement in the field of digital signal processing and modern machine learning (ML) approaches has witnessed substantial growth in biomedical engineering. The diagnostic power of these machines has grown manifolds mainly due to the exploration of effective and discriminate feature spaces that remain crucial for pattern recognition. It has enhanced the ability of machine learners to model the complex patterns accurately and make them adaptable to new task domains with explanation/experience learning approaches. Many vivid application domains including the artificial intelligent systems and robotics with critical and innovative thinking are going to rely on effective ML systems for efficiency and optimization. This has made the Artificial Neural Networks (NN) an emerging field of research and motivates the authors to classify the MIT-BIH arrhythmia data as abnormal or normal using different ANN models. Finally, the results have been validated with that of the colon cancer gene data.

Expansive scale sensor structures are sent in various application ranges, and the information they gather are utilized as a bit of major specialist for fundamental foundations. Information are gushed from different sources through transitional dealing with focus focuses that total data. A poisonous enemy may demonstrate extra focus focuses in the structure or arrangement existing ones. As necessities be, guaranteeing high information steadfast quality is basic for audit basic activity. Information provenance tends to a key factor in looking over the steady nature of sensor information. Provenance association for sensor systems demonstrates two or three testing fundamentals, for example, low centrality and data trade constrain utilization, convincing point of confinement and secure transmission. In this paper, we propose a novel lightweight game plan to safely transmit provenance for sensor information. The proposed procedure depends upon in-dispense channels to encode provenance. We present convincing instruments for provenance certification and expansion at the base station. Plus, we expand the secured provenance plot with handiness to see isolate assaults coordinated by pernicious information sending focus focuses. We assess the proposed structure both effectively and absolutely, and the outcomes demonstrate the attainability and ability of the lightweight secure provenance plot in seeing pack produce and calamity assaults.