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An IoT-Based Framework and Ensemble Optimized Deep Maxout Network Model for Breast Cancer Classification
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1 of the 46 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2022/9896490 (notice 2023-11-01).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ima.22400openalex-snapshot
Deep learning and optimization algorithms for automatic breast cancer detection
inferredcites →https://doi.org/10.1002/spe.2797openalex-snapshot
A metaheuristic optimization approach for energy efficiency in the IoT networks
inferredcites →https://doi.org/10.1007/978-981-16-7952-0_16openalex-snapshot
Breast Cancer Detection in the IoT Cloud-based Healthcare Environment Using Fuzzy Cluster Segmentation and SVM Classifier
inferredcites →https://doi.org/10.1007/s10586-022-03776-zopenalex-snapshot
Internet of Things intrusion detection systems: a comprehensive review and future directions
inferredcites →https://doi.org/10.1007/s11042-020-09988-yopenalex-snapshot
Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset
inferredcites →https://doi.org/10.1007/s11276-015-1039-4openalex-snapshot
Multi-objective fractional artificial bee colony algorithm to energy aware routing protocol in wireless sensor network
inferredcites →https://doi.org/10.1007/s11276-020-02299-yopenalex-snapshot
CrowWhale-ETR: CrowWhale optimization algorithm for energy and trust aware multicast routing in WSN for IoT applications
inferredcites →https://doi.org/10.1007/s11277-021-08495-zopenalex-snapshot
Multi-Adaptive Routing Protocol for Internet of Things based Ad-hoc Networks
inferredcites →https://doi.org/10.1007/s12065-020-00388-7openalex-snapshot
An approach for optimal-secure multi-path routing and intrusion detection in MANET
inferredcites →https://doi.org/10.1016/j.advengsoft.2020.102804openalex-snapshot
Student psychology based optimization algorithm: A new population based optimization algorithm for solving optimization problems
inferredcites →https://doi.org/10.1016/j.artmed.2022.102299openalex-snapshot
FSPBO-DQN: SeGAN based segmentation and Fractional Student Psychology Optimization enabled Deep Q Network for skin cancer detection in IoT applications
inferredcites →https://doi.org/10.1016/j.asoc.2019.105765openalex-snapshot
Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images
inferredcites →https://doi.org/10.1016/j.bspc.2020.102192openalex-snapshot
A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images
inferredcites →https://doi.org/10.1016/j.bspc.2021.102925openalex-snapshot
Breast DCE-MRI segmentation for lesion detection by multi-level thresholding using student psychological based optimization
inferredcites →https://doi.org/10.1016/j.cpet.2018.02.006openalex-snapshot
Overview of Breast Cancer Therapy
inferredcites →https://doi.org/10.1016/j.future.2020.07.023openalex-snapshot
A new data clustering strategy for enhancing mutual privacy in healthcare IoT systems
inferredcites →https://doi.org/10.1016/j.measurement.2021.109442openalex-snapshot
Feature selection and classification in breast cancer prediction using IoT and machine learning
inferredcites →https://doi.org/10.1016/j.media.2017.07.005openalex-snapshot
A survey on deep learning in medical image analysis
inferredcites →https://doi.org/10.1016/j.mpsur.2015.10.005openalex-snapshot
Management of breast cancer: basic principles
inferredcites →https://doi.org/10.1016/j.neucom.2017.05.103openalex-snapshot
Improving deep neural networks with multi-layer maxout networks and a novel initialization method
inferredcites →https://doi.org/10.1016/j.physa.2019.123592openalex-snapshot
BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
inferredcites →https://doi.org/10.1016/j.ymeth.2019.06.014openalex-snapshot
Breast cancer histopathological image classification using a hybrid deep neural network
inferredcites →https://doi.org/10.1017/s1759078720001609openalex-snapshot
AMC-based antenna sensor for breast tumors detection
inferredcites →https://doi.org/10.1080/08839514.2021.2001177openalex-snapshot
Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images
inferredcites →https://doi.org/10.1088/1742-6596/1831/1/012030openalex-snapshot
Breast Cancer Detection Using Deep learning and IoT Technologies.
inferredcites →https://doi.org/10.1109/access.2020.2966656openalex-snapshot
SMSH: Secure Surveillance Mechanism on Smart Healthcare IoT System With Probabilistic Image Encryption
inferredcites →https://doi.org/10.1109/access.2021.3079204openalex-snapshot
A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique
inferredcites →https://doi.org/10.1109/access.2022.3186021openalex-snapshot
Breast Cancer Diagnosis Using Support Vector Machines Optimized by Whale Optimization and Dragonfly Algorithms
inferredcites →https://doi.org/10.1109/iceit48248.2020.9113180openalex-snapshot
A Novel Approach for Early Breast Cancer Detection based on Embedded Micro-BioHeat Ultrasensitive Sensors: IoT Technology
inferredcites →https://doi.org/10.1109/jbhi.2020.3007488openalex-snapshot
A Secure IoT-Based Modern Healthcare System With Fault-Tolerant Decision Making Process
inferredcites →https://doi.org/10.1109/jiot.2019.2960033openalex-snapshot
Deep-Reinforcement-Learning-Based QoS-Aware Secure Routing for SDN-IoT
inferredcites →https://doi.org/10.1109/jsen.2015.2502401openalex-snapshot
BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network
inferredcites →https://doi.org/10.1109/siu.2017.7960587openalex-snapshot
A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
inferredcites →https://doi.org/10.1109/tem.2022.3207326openalex-snapshot
Implementation of a Product-Recommender System in an IoT-Based Smart Shopping Using Fuzzy Logic and Apriori Algorithm
inferredcites →https://doi.org/10.1111/exsy.12789openalex-snapshot
Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients ( HOG )
inferredcites →https://doi.org/10.1146/annurev-bioeng-071516-044442openalex-snapshot
Deep Learning in Medical Image Analysis
inferredcites →https://doi.org/10.1155/2022/9896490openalex-snapshot
Diagnosing Cancer Using IOT and Machine Learning Methods
inferredcites →https://doi.org/10.33545/26633582.2022.v4.i1a.68openalex-snapshot
Breast cancer detection based on thermographic images using machine learning and deep learning algorithms
inferredcites →https://doi.org/10.3390/app12168232openalex-snapshot
Deep Q-Learning Technique for Offloading Offline/Online Computation in Blockchain-Enabled Green IoT-Edge Scenarios
inferredcites →https://doi.org/10.3390/electronics10060699openalex-snapshot
A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches
inferredcites →https://doi.org/10.3390/fi14050153openalex-snapshot
Medical Internet-of-Things Based Breast Cancer Diagnosis Using Hyperparameter-Optimized Neural Networks
inferredcites →https://doi.org/10.3390/s22145327openalex-snapshot
A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System
inferredcites →https://doi.org/10.46253/j.mr.v2i2.a2openalex-snapshot
Breast Cancer Detection by Optimal Classification using GWO Algorithm
inferredcites →https://doi.org/10.46253/j.mr.v3i2.a4openalex-snapshot
Skin Cancer Detection with Optimized Neural Network via Hybrid Algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781394242252.ch3openalex-snapshot
Development and Implementation of a Fuzzy Logic‐Based Framework for the Internet of Medical Things (IoMT)
inferred← citeshttps://doi.org/10.1002/cnm.3824openalex-snapshot
Hybrid deep learning assisted multi classification: Grading of malignant thyroid nodules
inferred← citeshttps://doi.org/10.1002/cpe.70442openalex-snapshot
Skill Prediction and Player Re‐Identification Using Serial Exponential Ring Toss Game‐Based Optimization Based Deep Maxout Network
inferred← citeshttps://doi.org/10.1002/dac.70161openalex-snapshot
RPFSA_LeNet‐Enabled Routing and LeNet‐Based Big Data Classification in IoT Environment
inferred← citeshttps://doi.org/10.1007/978-981-97-7862-1_27openalex-snapshot
Modified Osprey-Optimized DM-CNN Model for Human Activity Recognition
inferred← citeshttps://doi.org/10.1007/s13042-025-02617-wopenalex-snapshot
Artificial immune based intrusion detection and mitigation system using entropy fluctuation method and deep maxout classifier
inferred← citeshttps://doi.org/10.1007/s43684-024-00077-7openalex-snapshot
Multi-objective optimal trajectory planning for manipulators based on CMOSPBO
inferred← citeshttps://doi.org/10.1007/s44174-025-00500-4openalex-snapshot
Breast Cancer Detection Using a Graph-Steerable Network and Bio-Inspired Optimization
inferred← citeshttps://doi.org/10.1007/s44196-026-01188-0openalex-snapshot
Secure Cloud-Based Hybrid Deep Learning for Early Diagnosis of Ovarian Cancer Using Federated Learning
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2024.108277openalex-snapshot
IoT based healthcare system using fractional dung beetle optimization enabled deep learning for breast cancer classification
inferred← citeshttps://doi.org/10.1016/j.ijleo.2026.172755openalex-snapshot
A novel hybrid deep learning model with feature fusion for remaining useful life prediction of ring laser gyros
inferred← citeshttps://doi.org/10.1038/s41598-026-42912-2openalex-snapshot
Multimodal sentiment analysis: hybrid classification model with image and text feature descriptors
inferred← citeshttps://doi.org/10.1080/03610918.2026.2621023openalex-snapshot
DETDO: double exponential smoothing-Tasmanian devil optimization-based data routing algorithm for breast cancer detection
inferred← citeshttps://doi.org/10.1080/0954898x.2024.2412674openalex-snapshot
Multiagent DDOS attack detection model: Optimal trained hybrid classifier and entropy-based mitigation process
inferred← citeshttps://doi.org/10.1080/1448837x.2024.2354995openalex-snapshot
Hybrid model-based approach for oral cancer detection in distributed cloud environment
inferred← citeshttps://doi.org/10.1109/access.2025.3596180openalex-snapshot
Enhanced Hybrid Deep Learning Model With Improved Self-Attention Mechanism for Legal Judgment Prediction
inferred← citeshttps://doi.org/10.1109/icdsns65743.2025.11168650openalex-snapshot
Deep Learning-Enabled Breast Cancer Detection from Histopathological Images in IoT Environments
inferred← citeshttps://doi.org/10.1109/icerect56837.2022.10059743openalex-snapshot
Design of NBW-MHO with BERT model for prediction of Breast Cancer in IoT Healthcare System
inferred← citeshttps://doi.org/10.1109/iciteics61368.2024.10625251openalex-snapshot
Polycystic Ovary Syndromedetection via Hybrid Model with Improved Resampling Method
inferred← citeshttps://doi.org/10.1142/s1756973726400196openalex-snapshot
Breast Cancer Diagnosis with AI Technologies
inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150477openalex-snapshot
Deep Learning Approach for Workload Prediction and Balancing in Cloud Computing
inferred← citeshttps://doi.org/10.2478/cait-2024-0023openalex-snapshot
Deep Learning-Driven Workload Prediction and Optimization for Load Balancing in Cloud Computing Environment
inferred← citeshttps://doi.org/10.3233/web-230263openalex-snapshot
Combined optimization strategy: CUBW for load balancing in software defined network
inferred← citeshttps://doi.org/10.3390/cancers15123120openalex-snapshot
‘Earlier than Early’ Detection of Breast Cancer in Israeli BRCA Mutation Carriers Applying AI-Based Analysis to Consecutive MRI Scans
inferred← citeshttps://doi.org/10.3390/cancers15123139openalex-snapshot
Deep Learning in Different Ultrasound Methods for Breast Cancer, from Diagnosis to Prognosis: Current Trends, Challenges, and an Analysis
inferred← citeshttps://doi.org/10.3390/electronics13030669openalex-snapshot
Secure Healthcare Model Using Multi-Step Deep Q Learning Network in Internet of Things
inferred← citeshttps://doi.org/10.3390/s23115316openalex-snapshot
Remora Namib Beetle Optimization Enabled Deep Learning for Severity of COVID-19 Lung Infection Identification and Classification Using CT Images
inferred← citeshttps://doi.org/10.47164/ijngc.v16i1.1812openalex-snapshot
Detecting PCOS with a Novel Hybrid Classification Approach Using SMOTE and BiGRU-Maxout Models
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