A comprehensive review on breast cancer detection, classification and segmentation using deep learning
The incidence and mortality rate of Breast Cancer (BC) are global problems for women, with
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
Applications and techniques of machine learning in cancer classification: A systematic review
The domain of Machine learning has experienced Substantial advancement and
development. Recently, showcasing a Broad spectrum of uses like Computational …
development. Recently, showcasing a Broad spectrum of uses like Computational …
Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca
A Alsayat - Neural Computing and Applications, 2023 - Springer
Big social data and user-generated content have emerged as important sources of timely
and rich knowledge to detect customers' behavioral patterns. Revealing customer …
and rich knowledge to detect customers' behavioral patterns. Revealing customer …
A novel interval-valued intuitionistic fuzzy CRITIC-TOPSIS methodology: An application for transportation mode selection problem for a glass production company
ÖN Bilişik, NH Duman, E Taş - Expert Systems with Applications, 2024 - Elsevier
The challenge of selecting the best transportation mode is one of the most significant issues
that organizations deal with during the product delivery phase. Many criteria that influence …
that organizations deal with during the product delivery phase. Many criteria that influence …
Mining tourist preferences and decision support via tourism-oriented knowledge graph
Currently, tourism management research is focused on comprehending the fluctuating
tourist preferences and devising targeted development strategies through extensive analysis …
tourist preferences and devising targeted development strategies through extensive analysis …
Factors impacting customer purchase intention of smart home security systems: Social data analysis using machine learning techniques
Abstract The Internet of Things (IoTs) market for consumers includes a huge variety of smart
home devices. This research is conducted to investigate what factors influence customer …
home devices. This research is conducted to investigate what factors influence customer …
ICD: A new interpretable cognitive diagnosis model for intelligent tutor systems
T Qi, M Ren, L Guo, X Li, J Li, L Zhang - Expert Systems with Applications, 2023 - Elsevier
Numerous models have been proposed for cognitive diagnosis in intelligent tutoring
systems. However, the existing models still have room for improvement:(1) they ignore the …
systems. However, the existing models still have room for improvement:(1) they ignore the …
An adaptable and personalized framework for top-N course recommendations in online learning
In recent years, the proliferation of Massive Open Online Courses (MOOC) platforms on a
global scale has been remarkable. Learners can now meet their learning demands with the …
global scale has been remarkable. Learners can now meet their learning demands with the …
Electroencephalography (EEG) eye state classification using learning vector quantization and bagged trees
The analysis of Electroencephalography (EEG) signals has been an effective way of eye
state identification. Its significance is highlighted by studies that examined the classification …
state identification. Its significance is highlighted by studies that examined the classification …
Use of Latent Dirichlet Allocation and Structural Equation Modeling in Determining the Factors for Continuance Intention of Knowledge Payment Platform
H Xu, M Zhang, J Zeng, H Hao, HCK Lin, M Xiao - Sustainability, 2022 - mdpi.com
Knowledge payment is a new type of E-learning that has developed in the era of social
media. With the influence of the COVID-19 epidemic, the knowledge payment market is …
media. With the influence of the COVID-19 epidemic, the knowledge payment market is …