A new fuzzy time series forecasting method based on clustering and weighted average approach

Iqbal

The Importance of New Technologies and Entrepreneurship in Business Development: In the Context of Economic Diversity in Develo

et al. 2021

Self Cite

In the prevailing circumstances, an analysis of residents’ satisfaction with the quality of public infrastructure is essential in determining the degree of contentment of society. The aim of this study is to determine the degree of serenity of the inhabitant with the different public infrastructure provided for their use. This assessment is based on different regional and income classes in the province of Punjab, Pakistan. The stratified random sampling technique is used to explain such regional economic segregation by selecting 14 out of 36 districts in Punjab, Pakistan. A total of 1500 people from large, medium and small districts are interviewed. Multinomial logistic regression and study of the Chi-square tests were adopted. We see that the satisfaction of the population with the facilities (education, health, electricity, transport, water and sanitation) varies considerably within the region and the income classes. The government must therefore adopt a realistic strategy for balanced growth between the various regions and implement a labor-intensive project in small districts.

Section: Methodsmentioning

confidence: 99%

Discrimination of Inhabitant Satisfaction with the Public Infrastructure Between Region and Various Income Groups in Punjab, Pakistan

Iqbal

The Importance of New Technologies and Entrepreneurship in Business Development: In the Context of Economic Diversity in Develo

et al. 2021

Self Cite

Contrast Media & Molecular Imaging

“…In studies like [85][86][87][88][89][90][91], segmentation and classification play an important role for identification of disease in medical imaging.…”

Section: Related Workmentioning

confidence: 99%

Review on Hybrid Segmentation Methods for Identification of Brain Tumor in MRI

Ejaz

Rahim

Arif

et al. 2022

Self Cite

Modalities like MRI give information about organs and highlight diseases. Organ information is visualized in intensities. The segmentation method plays an important role in the identification of the region of interest (ROI). The ROI can be segmented from the image using clustering, features, and region extraction. Segmentation can be performed in steps; firstly, the region is extracted from the image. Secondly, feature extraction performed, and better features are selected. They can be shape, texture, or intensity. Thirdly, clustering segments the shape of tumor, tumor has specified shape, and shape is detected by feature. Clustering consists of FCM, K-means, FKM, and their hybrid. To support the segmentation, we conducted three studies (region extraction, feature, and clustering) which are discussed in the first line of this review paper. All these studies are targeting MRI as a modality. MRI visualization proved to be more accurate for the identification of diseases compared with other modalities. Information of the modality is compromised due to low pass image. In MRI Images, the tumor intensities are variable in tumor areas as well as in tumor boundaries.

“…Scientists have developed several different techniques that cover nearly all optimized techniques, include high capabilities, diffusion scour, and evolving methodologies. [25] Provides detailed analysis on the applicability of several quadratic optimizing techniques to the development of FLC. Diffusion techniques were implemented when a relatively close starting answer is provided due to their fast translation.…”

Section: Min Fuzziness Pointmentioning

confidence: 99%

Fuzzy-based optimization and linear feedback fluid actuators for soft handheld robots

Kulshrestha

Mahandiran²,

Kurikyala

et al. 2022

ijhs

Because these were elastic & inexpensive, Hydraulic Muscle Activator (HMA) has a lot of promise in portable and responsive rehabilitative equipment. The transducers' changing and continuous response, on the other hand, create modeling and management problems that are hard to grasp. Our study offers a novel portable ankle rehabilitative robotic, that globes only of its type, which is powered with Optimized HMAs (OHMA) run tandem. The goal of this paper is to provide an adaptive regulator that will help OHMA-driven gadgets conquer their problems. To properly anticipate that performance for OHMA, fuzzy feedback regulate operator is developed. To find the best combination input settings for imprecise controllers, a Genetic Algorithm (GA) Based is used. The propoed OHMA-driven gait training robots have been evaluated, and the iteration controllers are effective in tracing the complicated connection between length, velocity, and tension of the OHMA with great precision. Whenever provided several intended trajectories, empirical findings demonstrate that the microcontroller can follow them quite well.