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Browsing Computer Software Engineering by Subject

Browsing Computer Software Engineering by Subject

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: Cloud Forensics, Cloud Forensic Constraints, Cloud Forensic Framework, Cloud Forensic Backlog, Topic Modelling, Latent Dirichlet Allocation, Named Entity Recognition, Relation Extraction, BERT Model. [1]
: Quorum Blockchain, Electronic Health Records (EHR), Data Security, Interoperability, Patient Empowerment [1]
Activities of daily living (ADLs), Activity recognition, Deep learning, Healthcare, Smartphone sensors data, Elderly people, Transfer Learning. [1]
Agile Development, Global Software Development, Scrum , customized Scrum, Agile practices. [1]
Ambiguity detection in Natural language requirements, Cross-domain ambiguity, Requirement’s engineering, Natural language processing (NLP), Term ambiguity in Domains [1]
An Integrated Intelligent Framework for Public Health Informatics Based on Machine Learning Approaches [1]
An RFID and Algorithmic Based Approach for Patient Experience Management System (PEMS) [1]
Artificial neural networks; Solar photovoltaic systems; irradiance forecasting; global horizontal irradiance; clear sky irradiance, Short-term load forecasting, Smart grids, Climate change, Irradiance forecasting, Neural networks, Solar Power Plants, Meteonorm. [1]
Blacklist-based Phishing Detection, URL Based Phish Detection, Hybrid approach [1]
Blockchain, Electronic health records, Hyperledger, Permissioned Blockchain [1]
BPML, EPC, EPC modeling, EPC verification [1]
Cardiovascular Diseases, Prediction, Feature Extraction, Machine Learning, Principal Component Analysis, Artificial Neural Network [2]
CF-CRS: A Content based Fuzzy Conformal Recommender System for Recommending Movies with Confidence, Recommender systems, collaborative filtering, content-based filtering, fuzzy inference system, conformal prediction, confidence level, movie recommendation. [1]
CGM (Continuous Glucose Monitoring), Blood glucose prediction, Prediction Horizon (PH), feedforward Artificial Neural Network (FFANN), Nonlinear Autoregressive Neural Network, Diabetes, Machine learning and Automatic Insulin Delivery Advisor (AIDA) [1]
Class Noise, Attribute Noise, Noise Reduction Strategies, Random Forest, Continuous Integration. [1]
Classification Model, Data Mining, Decision Tree, Heart Failure, Knowledge Discovery in Data Set [1]
Cloud based Load testing, Traditional Load testing, Automated, Machine learning [1]
Cloud computing, multiple criteria decision making, quality of service, service measurement, ranking [1]
Clustering, number of iterations, machine learning, optimal K, Silhouette Score and performance etc. [1]

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