Titlebook: Soft Computing: Theories and Applications; Proceedings of SoCTA Rajesh Kumar,Ajit Kumar Verma,Sanjay Sharma Conference proceedings 2023 The

有特色

2367-3370 hnology, Himachal Pradesh University Shimla, Himachal Pradesh, India. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field..978-981-19-9857-7978-981-19-9858-4Series ISSN 2367-3370 Series E-ISSN 2367-3389

phytochemicals

6G-Enabled Internet of Medical Things,presented. It can integrate a wide number of services. The limitation of 5G in catering to such a network is also highlighted. The challenges and open issues are presented in light of services and applications that can be provided by the purposed architecture. A brief overview of 6G is also provided.

OPINE

Machine Learning: An Analytical Approach for Pattern Detection in Diabetes,is analyzed by model building using machine learning algorithm. Additionally, we have attempted machine learning techniques in our study such as decision tree classifier and logistic regression which can be used for diagnosis of diabetes, and we attain the accuracy of 75.9% for decision tree classifier and 74.6% for logistic regression.

神秘

,Approximation of Signal Belongs to , Class by Generalized Nörlund-Cesáro Product Means,heorem for approximation of signal (function) belongs to . class by using . product means of conjugate Fourier series is established. The existing results are extended and generalized to similar results. The results motivate the scientists to work in the field of approximation theory.

BALK

缩影

A CNN-Based Approach for Facial Emotion Detection,technologies helped us to detect human emotion from images that can be used for understanding human feelings as well. The image can be static or can be captured through a web camera in real time. The precise analysis of human facial expressions is necessary for a better understanding of human behavi

奇怪

Implementation of Artificial Neural Network for Demanufacturing Operation in the Rail Industry,iety of industries has given birth to new ideas about EoL component recirculation. End-of-life railcar component degrading treatment is expected to have an impact on disposal and resource sustainability. As a result, the goal of this study is to create a predictive model for the scheduling of demanu

刺激

Diversified Recommendation Generation Using Graph Convolution Neural Network,m is learning the structural information of the user and item and their interaction more efficiently than traditional learning techniques. Most of the proposed models for recommendation generation are concerned only about their accuracy enhancement. Besides accuracy, novelty, diversity, and serendip

GEN

Brain Tumor Detection with GLCM Feature Extraction and Hybrid Classification Approach,efforts required for diagnosing by increasing not only the accuracy but also the speed of detection. This proposed methodology includes Otsu’s threshold-based segmentation technique after which feature extraction is done by Grey Level Co-Occurrence Matrix (GLCM) to extract 13 intensities-based and t

Itinerant

Optimization of an Inventory Model with Selling Price and Stock Sensitive Demand Along with Trade Cthematical model is proposed that takes into account the aforementioned situation where both the selling price and the amount of inventory on hand influence consumer’s demand. Besides that, the supplier grants a full trade credit period to the retailer. This policy is very advantageous for both the