http://ijaems.com/ Open Access international Journal to publish research paper en-us February The core of artificial intelligence is certification. It demonstrates a productive method for resolving urgent issues, and it denotes how to approach a dataset. For speedier access and seamless client service, we integrate artificial intelligence into our concept. Tensor-flow is used in its development to accelerate activities and automate data collection. Our module is standardised using a standard scaler. Cross-validation is done using the grid-search CV approach. The random-forest algorithm is the algorithm that we defined here. We reduce processing time while increasing usability adaptability. We criticise the strong emphasis on current solutions when it comes to attribution as a process for knowledge development since this focus influences the knowledge structure. Like chronic illness, which takes a lengthy time to diagnose because it is a long-lasting sickness, everywhere on the globe, chronic diseases are dangerous illnesses that are more expensive to detect and force the patient to endure their effects for the rest of their lives. There is a wealth of information about these diseases in the medical field; thus, data mining techniques are used to simplify the healthcare system. http://ijaems.com/detail/ai-chronic-disease-suggestion-system/ Valarmathi.E, Aswin Gladsingh.R, Balajee.V, Pratheep.S http://ijaems.com/upload_images/issue_files/1IJAEMS-10220231-Valarmathi.pdf This paper deals with impulsive noise (IN) in multichannel (MC) Active Noise Control (ANC) Systems with Online Secondary Path Modelling (OSPM) employing adaptive algorithms for the first time. It compares performance of various existing techniques belonging to varied computational complexity range and proposes four new methods, namely: FxRLS-VSSLMS, VSSLMS-VSSLMS, FxLMAT-VSSLMS and NSS MFxLMAT-VSSLMS to deal with modest to very high impulsive noise (IN). Simulation results show that these proposed methods demonstrated improved performance in terms of fast convergence speed, lowest steady state error, robustness and stability under impulsive environment in addition to modelling accuracy for stationary as well as non-stationary environment besides reducing computational complexity many folds. http://ijaems.com/detail/an-efficient-less-complex-solution-to-mitigate-impulsive-noise-in-multi-channel-feed-forward-anc-system-with-online-secondary-path-modeling-ospm/ Fahad Ihsan Khan, Muhammad Umer Javed, Didem Kıvanç Türeli http://ijaems.com/upload_images/issue_files/2IJAEMS-10220232-AnEfficient.pdf