Machine learning and deep learning approach for medical image analysis: diagnosis to detection
Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows
tremendous growth in the medical field. Medical images are considered as the actual origin …
tremendous growth in the medical field. Medical images are considered as the actual origin …
Deep learning techniques for prediction and diagnosis of diabetes mellitus
Diabetes Mellitus (DM) is a serious chronic disease that affects billions of people worldwide.
8.5% of the population suffers from diabetes between the age range of18 to 70 years. In …
8.5% of the population suffers from diabetes between the age range of18 to 70 years. In …
Intelligent process automation: The future of digital transformation
PS Kholiya, A Kapoor, M Rana… - 2021 10th International …, 2021 - ieeexplore.ieee.org
The technological evolution in the last decades has led us to the forefront of the digitization
of services at every stratum of the processes and businesses. As the technology is …
of services at every stratum of the processes and businesses. As the technology is …
Prediction of students' academic performance using Machine Learning Techniques
The prediction of students' academic performance is a subset of Educational Data Mining
(EDM) which deals with the large-scale data gathered from an education system. EDM aims …
(EDM) which deals with the large-scale data gathered from an education system. EDM aims …
Advancements in healthcare services using deep learning techniques
Deep learning (DL) is the technique encouraging clinical staff and physicians to work on a
variety of data using DL algorithms. DL techniques have given a rise in the medical facilities …
variety of data using DL algorithms. DL techniques have given a rise in the medical facilities …
[图书][B] Decision Support System: Tools and Techniques
S Bandyopadhyay - 2023 - taylorfrancis.com
This book presents different tools and techniques used for Decision Support Systems (DSS),
including decision tree and table, and their modifications, multi-criteria decision analysis …
including decision tree and table, and their modifications, multi-criteria decision analysis …
Smart ECG monitoring and analysis system using machine learning
In critical situations, a patient quarantines himself from others which makes it difficult for a
doctor to monitor the acute health symptoms of a patient. This work aims to create a Smart …
doctor to monitor the acute health symptoms of a patient. This work aims to create a Smart …
Identifying quality attributes of FODA and DSSA methods in domain analysis using a case study
The concept of reuse is addressed in software product line engineering (SPLE) by
distinguishing between two types of processes for development: application and domain …
distinguishing between two types of processes for development: application and domain …
A Monte Carlo tree search conceptual framework for feature model analyses
Challenging domains of the future such as Smart Cities, Cloud Computing, or Industry 4.0
expose highly variable systems with colossal configuration spaces. The automated analysis …
expose highly variable systems with colossal configuration spaces. The automated analysis …
Monte Carlo tree search for feature model analyses: a general framework for decision-making
The colossal solution spaces of most configurable systems make intractable their exhaustive
exploration. Accordingly, relevant analyses remain open research problems. There exist …
exploration. Accordingly, relevant analyses remain open research problems. There exist …