In this work, a novel hybrid neuro-fuzzy classifier (HNFC) technique is proposed for producing more accuracy in input data classification. The inputs are fuzzified using a generalized membership function. The fuzzification matrix helps to create connectivity between input pattern and degree of membership to various classes in the dataset. According to that, the classification process is performed for the input data. This novel method is applied for ten number of benchmark datasets. During preprocessing, the missing data is replaced with the mean value. Then, the statistical correlation is applied for selecting the important features from the dataset. After applying a data transformation technique, the values normalized. Initially, fuzzy logic has been applied for the input dataset; then, the neural network is applied to measure the performance. The result of the proposed method is evaluated with supervised classification techniques such as radial basis function neural network (RBFNN) and adaptive neuro-fuzzy inference system (ANFIS). Classifier performance is evaluated by measures like accuracy and error rate. From the investigation, the proposed approach provided 86.2 of classification accuracy for the breast cancer dataset compared to other two approaches.

This paper introduces the application and classification of an adaptive filtering algorithm in the image enhancement algorithm. And the filtering noise reduction impact is compared using MATLAB software for programming, image processing, LMS algorithm, RLS algorithm, histogram equalisation algorithm, and Wiener filtering method filtering noise reduction effect. To optimize the intelligent graphic image interaction system, the proposed nonlinear adaptive algorithm of intelligent graphic image interaction system research is based on the digital filter and adaptive filtering algorithm for simulation experiment. The experimental results of several noise index data filtering algorithms show that the fuzzy coefficient k of LMS index is 0.86, RLS index is 0.91, the histogram equalization index is 0.53, and the Wiener filtering index is 0.62. LMS index of quality index Q is 0.90, RLS index is 0.95, histogram equalization index is 0.58, Wiener filtering index is 0.65. According to the above results, comparing LMS with the RLS method and according to SNR, k, and Q values in the simulation results in the process of processing, it is found that the convergence speed of the RLS algorithm is obviously better than that of the LMS algorithm, and the stability is also good. Additionally, the differential imaging data can provide a strong reference for the clinical diagnosis and qualitative differentiation of TBP and CP, and MSCT is worthy of extensive application in the clinical diagnosis of peritonitis. The processing effect of the image with high similarity to the original image is greatly improved compared with the histogram equalization and Wiener filtering methods used in the simulation.

The goal of this study was to maximize the reflection coefficient and SWR of a Dielectric Resonator Antenna design employing Silicon dielectric medium at frequencies ranging from 4 to 5 GHz. SWR and reflection coefficient are optimized with high dielectric materials. Silicon materials had a significant impact on antenna radiation efficiency and SWR. Utilizing the Altair FEKO modelling tool, the Reflection Coefficient and SWR of a Dielectric Resonator Antenna using Silicon dielectric medium (n = 16) were compared to Alumina dielectric medium (n = 16). FEKO software was used to build the Dielectric Resonator Antenna using the Finite Element Method. The reflection coefficient and SWR were estimated by altering the FEM modal port feed base radius of Silicon medium. The proposed antenna had an 82 percent G power and a significance of 0.004. Silicon resonator antennas have a lower reflection coefficient (-25.65 dB) and lower SWR (1.0025 dB) than Alumina resonator antennas, which have a higher reflection coefficient (-22.7 dB) and higher SWR (1.29 dB). When compared to an Alumina media-based resonator antenna, this unique simulated antenna design attained high significance. The investigation of a resonator antenna utilising Silicon medium at frequencies ranging from 4 to 5 GHz results in a low reflection coefficient and low SWR. The reflection coefficient and SWR of a high frequency Silicon media based resonator antenna were optimized. These high-resonator antennas are employed in satellite systems and high-speed data transmission systems.

In this study, we compare the performance of two different algorithms for recognising irises: the K-Nearest Neighbor (KNN) strategy and the Support Vector Machi In this study, we compare the performance of two different algorithms for recognising irises: the K-Nearest Neighbor (KNN) strategy and the Support Vector Machi

The immense use of web based resources is an undeniable truth in today’s learning scenario. Resource-based learning has gained momentum in leaps and bounds. Resource-based learning aids in the academic and holistic development of students by taking into account their capabilities, their styles of learning and their needs. RBL empowers the student to analyze and organize digital material. It also enables the learner to develop critical thinking skills and gives them the confidence to sift from the plethora of information available, the skill to ferret out what they need and what is needed for them. This skill will go a long way in empowering them to utilize the varied resources that is available on hand in various forms be it print or electronic. Such training in thinking will help them to approach any topic in a number of learning styles. The authors of this research paper, have attempted to understand the impact of resource based learning on teachers, keeping in view Gagne’s (1985) theory of levels of learning. Teachers from traditional background of teaching methods involving classroom interface, were approached and their views on the new methods popularized by RBL were obtained by means of a self-administered online questionnaire. The objective of the study was to analyze the attitudinal responses of the teachers towards RBL and whether they viewed it as a beneficial exercise for students as against traditional methods of learning.