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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Machine learning-based id" (30 stories)

TAE-IDS: a trust-aware explainable intrusion detection framework using attention-based meta-ensemble learning with blockchain validation

Lead StoryFrontierstech

Aug 3

TAE-IDS: a trust-aware explainable intrusion detection framework using attention-based meta-ensemble learning with blockchain validation

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxPaWR5d0RnTDBNVUtjdl9CLWNLS1pVM19UTENxSGxYMkloajNpY052X2ktWk5XaWs2NkpJT2U3X1pzbmVDRHZPZ1RmZlZPc21jakJ1MkdidGlqcnBwQzNfbTMxUHVucUhfdGIwbFhkT0s5VE5UV1NHZVNrbmJGclQ0YzFlcEZHY1ZkWVN1UVZGZlJ4ZVVrOW55NmRZWGFoNm9wUFE?oc=5" target="_blank">TAE-IDS: a trust-aware explainable intrusion detection framework using attention-based meta-ensemble learning with blockchain validation</a>&nbsp;&nbsp;Frontiers

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Search Results for "Machine learning-based id"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed

Machine learning-based identification of high-risk triple-negative breast cancer patients despite pathological complete response after neoadjuvant chemotherapy

Naturegeneral

Jun 2

Machine learning-based identification of high-risk triple-negative breast cancer patients despite pathological complete response after neoadjuvant chemotherapy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9yUXlDakY0ODhfUk8wb0piaDgwanJ6aVpUU3pFeHRGaHVZOGd3bzZOMElHdWdnZWN6NDFOaVM4d0ZQMmREbmYzUEFoZkl0bXdlVFVadVRNZTlySnE1ZFB3?oc=5" target="_blank">Machine learning-based identification of high-risk triple-negative breast cancer patients despite pathological complete response after neoadjuvant chemotherapy</a>&nbsp;&nbsp;Nature

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TAE-IDS: a trust-aware explainable intrusion detection framework using attention-based meta-ensemble learning with blockchain validation

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Search Results for "Machine learning-based id"

Machine learning-based identification of high-risk triple-negative breast cancer patients despite pathological complete response after neoadjuvant chemotherapy

Machine learning based approach to intrusion detection in internet of things environments

Development of a Deep Learning Based Framework for Classification of Indian Venomous Snakes Integrated with Explainable Artificial Intelligence for primary and emergency care providers

Machine Learning-Based Identification of Post-Radiation Dysphagia and Dysphagia-Related Organs at Risk in Patients with Oropharyngeal Carcinoma

Tephritid26: A standardized, multi-angle image dataset of quarantine-significant true fruit flies for deep learning-based identification

Deep learning-based identification of N6-methyladenine sites via hybrid feature fusion and SHAP-driven feature selection

Machine learning-based identification of heart failure with reduced ejection fraction using routine laboratory indicators

Machine learning-based identification of abnormal functional connectivity in obesity across different metabolic states

Machine learning–based prognostic prediction and subphenotype identification in trauma-induced coagulopathy using early blood glucose trajectories

Deep reinforcement learning-based intrusion detection scheme for software-defined networking

Development and internal validation of a machine-learning-based risk identification model for diabetic kidney disease in patients with type 2 diabetes

Machine learning-based identification of a metabolic cell death gene signature for assessing disease activity and immunological landscape in inflammatory bowel disease

Machine learning-based prediction and identification of determinants of teenage pregnancy in ten East African countries

Deep learning based individual identification and population estimation of the yellow spotted mountain newt ( Neurergus derjugini

Machine learning-based identification of potential diagnostic signatures in spinal cord injury

Machine learning based identification of key predictors and socioeconomic inequalities in the co-existence of diabetes and hypertension among Bangladeshi adults

Deep learning-based visual algorithms for identity and action recognition in engineering practical courses

A hybrid BiLSTM-CNN approach for intrusion detection for IoT applications

Deep learning based optimal fish species identification to maximize production in fish ponds

A Machine Learning Framework for Detecting and Preventing Cyber-Attacks in Industrial Cyber-Physical Systems

A deep learning-based method for identifying traditional villages across cultural types

Clinical accuracy of cephalometric analysis using deep learning–based automated landmark identification on CBCT in class I and class II malocclusions | Scientific Reports

XL-MSDigger: a deep learning-based, versatile solution for cross-linking mass spectrometry

Identification of Indigenous fish species in lake Tana using deep learning

Transfer learning–based seismic identification of deep small-scale strike-slip faults in the central Sichuan Basin (SW China)

Mobile-assisted deep learning framework for identification of insect pests and diseases of maize from field images

ROFI: a deep learning-based ophthalmic sign-preserving and reversible patient face anonymizer

A novel approach of developing machine learning based models for the prediction of facial dimensions from dental parameters

Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection