Author of the publication

Exploring household food security through institutional factors: A statistical and mathematical analysis.

, , , and . J. Intell. Fuzzy Syst., 46 (4): 9179-9195 (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A Survey on Context-Aware Computing Frameworks for Resource-Bounded Devices., , and . INTAP, volume 1198 of Communications in Computer and Information Science, page 93-105. Springer, (2019)Machine Learning Techniques for Heart Disease Datasets: A Survey., , , and . ICMLC, page 27-35. ACM, (2019)Applying Feature Selection and Weight Optimization Techniques to Enhance Artificial Neural Network for Heart Disease Diagnosis., , , and . IntelliSys (1), volume 1037 of Advances in Intelligent Systems and Computing, page 340-351. Springer, (2019)Blood Glucose Level Prediction Using Optimized Neural Network for Virtual Patients., , , and . IntelliSys (2), volume 1038 of Advances in Intelligent Systems and Computing, page 671-683. Springer, (2019)Towards the Selection of the Best Machine Learning Techniques and Methods for Urinalysis., , , , , and . ICMLC, page 127-133. ACM, (2020)Blood Glucose Level Prediction with Minimal Inputs Using Feedforward Neural Network for Diabetic Type 1 Patients., , , , and . ICMLC, page 182-185. ACM, (2019)Exploring household food security through institutional factors: A statistical and mathematical analysis., , , and . J. Intell. Fuzzy Syst., 46 (4): 9179-9195 (2024)Joint Deep Recommendation Model Exploiting Reviews and Metadata Information., , and . Neurocomputing, (2020)A Deep Hybrid Model for Recommendation by jointly leveraging ratings, reviews and metadata information., , , and . Eng. Appl. Artif. Intell., (2021)Deep learning techniques for rating prediction: a survey of the state-of-the-art., , , and . Artif. Intell. Rev., 54 (1): 95-135 (2021)