Mathematical Treatment of Management Triangle to be Used Numerically as a Tool in Performance Measuring of Construction Projects Authors
Neutrosophic Sets in Big Data Analytics: A Novel Approach for Feature Selection and Classification
An Efficient Deep Learning Model Based on Driver Behaviour Detection Within CAN-BUS Signals.
Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework
Efforts of Neutrosophic Logic in Medical Image Processing and Analysis
Optimization of the Cost of Repetitive Construction Projects Using Computerized Iteration Method
Real-time driver identification in IoV: A deep learning and cloud integration approach
Survey on handwritten recognition
Sustainable optimizing WMN performance through meta-heuristic TDMA link scheduling and routing
A missing data imputation method based on salp swarm algorithm for diabetes disease
A secure sharing control framework supporting elastic mobile cloud computing
A survey on security and policy aspects of blockchain technology
Bearing fault diagnosis using lightweight and robust one-dimensional convolution neural network in the frequency domain
Cauchy distribution with Cuckoo search algorithms for solving job shop scheduling Problem
Evaluation of wind-solar hybrid power generation system based on Monte Carlo method
Job Scheduling By Using Swarm Intelligent Algorithms: survey
Man-in-the-middle and denial of service attacks detection using machine learning algorithms
Research on fault adaptive fault tolerant control of distributed wind solar hybrid generator
Sustainable electronic document security: A comprehensive framework integrating encryption, digital signature and watermarking algorithms
The artificial intelligence (AI) role for tackling against COVID-19 pandemic
A Photovoltaic Electric Vehicle Automatic Charging and Monitoring System
A secure telemedicine electronic platform based on lightweight cryptographic approach
A Systematic Review on Motorcyclists’ Aggressive Behavior Analysis Using Computational Models: Current State, Challenges, and Recommendations
An effective heart disease detection and severity level classification model using machine learning and hyperparameter optimization methods
Blockchain: the next direction of digital payment in drug purchase
Classification of EEG signal by using optimized Quantum Neural Network
Cost-effective resource and task scheduling in fog nodes
Day-ahead electricity price forecasting based on hybrid regression model
Detection of hand gestures with human computer recognition by using support vector machine
Detection of the patient with COVID-19 relying on ML technology and FAST algorithms to extract the features
Efficient time-series forecasting of nuclear reactions using swarm intelligence algorithms
Energy-saving analysis of wireless body area network based on structural analysis
Forecasting photovoltaic power generation with a stacking ensemble model
Gheni Energy-saving analysis of wireless body area network based on structural analysis
Implement DNN technology by using wireless sensor network system based on IOT applications
Integrating security and privacy in mmWave communications
Optimization of particle swarms for travelling salesman problem
Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry
Real-Time Traffic Violation System Vehicles to Cloud Data Exchange Based Driver Behaviour
Remote Monitoring of COVID‐19 Patients Using Multisensor Body Area Network Innovative System
Research on optimization strategy of medical data information security and privacy
The role of artificial intelligence in enhancing administrative decision support systems by depend on knowledge management
Chemical Enhancement of Reverse Osmosis Desalination Plants Based on Programmable Logic Controller
Improving the heart disease detection and patients’ survival using supervised infinite feature selection and improved weighted random forest
eElectricity consumption forecasting using adaptive neuro-fuzzy inference system (ANFIS)
Electricity consumption forecasting using adaptive neuro-fuzzy inference system (ANFIS)
Electricity consumption forecasting using Nonlinear Autoregressive with External (Exogeneous) input neural network
Modeling middleware platform for supporting active communication between IoT devices