IoT has several benefits in a country’s economy’s health, energy, transportation, and agriculture sectors. This era is known as the Internet of Things (IoT). Paper 4: Using Incremental Ensemble Learning Techniques to Design Portable Intrusion Detection for Computationally Constraint SystemsĪbstract: Computers have evolved over the years, and as the evolution continues, we have been ushered into an era where high-speed internet has made it possible for devices in our homes, hospital, energy, and industry to communicate with each other. The proposed model has the potential to improve clinical outcomes by promoting the delivery of early and personalized care to T2-DM patients. Our proposed model achieved accuracies of 95.43%, 94.62%, 96.25%, 97.55%, and 97.83% for Nephropathy, Neuropathy, Retinopathy, Cardiovascularand Peripheral Vascu-lar complications in T2-DM patients. To achieve this, we have proposed a T2DC machine learning-based prediction system using a decision tree as a base estimator with random forest to identify the severity of T2-DM complications at an early stage. Based on the earlier research, there is still scope to identify different risk levels of type-2 diabetes complications. In terms of mortality rate, type-2 diabetes is 20 times higher when compared with type-1. Paper 3: Prediction of Micro Vascular and Macro Vascular Complications in Type-2 Diabetic Patients using Machine Learning TechniquesĪbstract: A collection of metabolic conditions known as diabetes mellitus are defined by hyperglycemia brought on by deficiencies in insulin secretion, action, or both. Our approach was tested using genuine license plate images under various environmental circumstances and achieved overall recognition accuracy of 91.54% with a single license plate in an average duration of 2.63 seconds. Character segmentation breaks down the number plate region into individual characters, and character recognition detects the optical characters. Due to the printed edition design, it is impossible to communicate the information. Personnel at the selected location may find it difficult and time-consuming to register and compose information manually. A human error during the affirmation and the enrolling process is a distinct possibility since this is a manual approach. The four processes that follow the acquisition of an image are pre-processing, number plate localization, character segmentation, and character identification. This study proposes automated authentication, which would minimize security and individual workload while eliminating the requirement for human credential verification. Paper 2: Character Level Segmentation and Recognition using CNN Followed Random Forest Classifier for NPR SystemĪbstract: The number plate recognition system must be able to quickly and accurately identify the plate in both low and noisy lighting conditions, as well as within the specified time limit. These findings could be used to optimize utility software. The use of jargon to explain functions was costly to learn and quickly undermined users' confidence in using the software the interface's simplicity impacted satisfaction, although users tended to evaluate utility tools in terms of their ease of use and ease of learning. The data together led to a conclusion: each software has a few usability issues. System usability, interface quality, and emotional dimensions were collected with subjective scales to assess the software’s user satisfaction. Eye tracking data and task completion time are collected to evaluate efficiency. Task completion rate, number of errors, and number of requests for help were collected to evaluate the effectiveness. The research investigated 20 participants' interactions with the two software. This paper took the mind map software "Xmind" and "MindMaster" as study cases and conducted comparative research on three aspects: effectiveness, efficiency, and satisfaction. Usability testing can help to uncover flaws in software's usability and support its optimization. Paper 1: Investigating the User Experience of Mind Map Software: A Comparative Study based on Eye TrackingĪbstract: Software for creating mind maps is currently prevalent, and it should have strong usability and create a good user experience.
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