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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)

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Machine Learning Techniques for Heart Disease Datasets: A Survey., , , and . ICMLC, page 27-35. ACM, (2019)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)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)Federated learning-based natural language processing: a systematic literature review., , and . Artif. Intell. Rev., 57 (12): 320 (December 2024)A Machine learning-based prediction model for the heart diseases from chance factors through two-variable decision tree classifier., , , , , , and . J. Intell. Fuzzy Syst., 41 (6): 5985-6002 (2021)Multi-task learning model based on recurrent convolutional neural networks for citation sentiment and purpose classification., , , and . Neurocomputing, (2019)COVID-19 detection from chest X-ray images using CLAHE-YCrCb, LBP, and machine learning algorithms., , , , and . BMC Bioinform., 25 (1): 28 (December 2024)