Related references
Note: Only part of the references are listed.IoT data visualization for business intelligence in corporate finance
Cuili Shao et al.
INFORMATION PROCESSING & MANAGEMENT (2022)
English language teaching based on big data analytics in augmentative and alternative communication system
Ran Qian et al.
INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY (2022)
Mitigating the Coexistence Technique in Wireless Body Area Networks By Using Superframe Interleaving
Samira Kanwal et al.
IETE JOURNAL OF RESEARCH (2022)
Sustainable Network by Enhancing Attribute-Based Selection Mechanism Using Lagrange Interpolation
Chetna Monga et al.
SUSTAINABILITY (2022)
Bio-Imaging-Based Machine Learning Algorithm for Breast Cancer Detection
Sadia Safdar et al.
DIAGNOSTICS (2022)
An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction
Junaid Rashid et al.
FRONTIERS IN PUBLIC HEALTH (2022)
Heart rate and blood pressure measurement based on photoplethysmogram signal using fast Fourier transform
Ashish Sharma et al.
COMPUTERS & ELECTRICAL ENGINEERING (2022)
Kernel Parameter Tuning to Tweak the Performance of Classifiers for Identification of Heart Diseases
Annu Dhankhar et al.
INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS (2021)
Deep CNN for Brain Tumor Classification
Wadhah Ayadi et al.
NEURAL PROCESSING LETTERS (2021)
Gender and Age Classification Enabled Blockschain Security Mechanism for Assisting Mobile Application
Sapna Juneja et al.
IETE JOURNAL OF RESEARCH (2021)
Computer Vision-Enabled Character Recognition of Hand Gestures for Patients with Hearing and Speaking Disability
Sapna Juneja et al.
MOBILE INFORMATION SYSTEMS (2021)
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
Francisco Javier Diaz-Pernas et al.
HEALTHCARE (2021)
Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images
Navid Ghassemi et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method
Deepak Ranjan Nayak et al.
PATTERN RECOGNITION LETTERS (2020)
Feature enhancement framework for brain tumor segmentation and classification
Bilal Tahir et al.
MICROSCOPY RESEARCH AND TECHNIQUE (2019)
Application of deep transfer learning for automated brain abnormality classification using MR images
Muhammed Talo et al.
COGNITIVE SYSTEMS RESEARCH (2019)
Brain Tumor Classification Using Convolutional Neural Network
Nyoman Abiwinanda et al.
WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 1 (2019)
Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning
Mina Yousefi et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network
Odelin Charron et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs
Yu Gu et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
Yang Yang et al.
FRONTIERS IN NEUROSCIENCE (2018)
Quantitative metric for MR brain tumour grade classification using sample space density measure of analytic intrinsic mode function representation
Taranjit Kaur et al.
IET IMAGE PROCESSING (2017)
Brain tumor classification from multi-modality MRI using wavelets and machine learning
Khalid Usman et al.
PATTERN ANALYSIS AND APPLICATIONS (2017)
A package-SFERCB-Segmentation, feature extraction, reduction and classification analysis by both SVM and ANN for brain tumors
Jainy Sachdeva et al.
APPLIED SOFT COMPUTING (2016)
Brain tumour classification using two-tier classifier with adaptive segmentation technique
V. Anitha et al.
IET COMPUTER VISION (2016)
Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
El-Sayed A. El-Dahshan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2014)
Performance Improved Iteration-Free Artificial Neural Networks for Abnormal Magnetic Resonance Brain Image Classification
D. Jude Hemanth et al.
NEUROCOMPUTING (2014)