a |
Adaptive Load Balancing | Adaptive Fair and Cost-Effective Load Balancing in Distributed Computing Systems |
AI | AI Enabled SaaS Framework for Fashion Designing |
algorithm | Alternative Approach to Achieve a Solution of Derangement Problems by Dynamic Programming |
Architecture | AI Enabled SaaS Framework for Fashion Designing Infrastructure Development of Non DHT-Based Pyramid Tree Network Architecture |
ARIMA | A Stock Recommendation System |
Artificial Neural Network | A Stock Recommendation System |
autonomous driving | 3D Objects Detection and Recognition from Color and LiDAR Data for Autonomous Driving |
b |
BERT | Fake News Detection System: An implementation of BERT and Boosting Algorithm |
Blackboard | AI Enabled SaaS Framework for Fashion Designing |
Businnes Process Model | Quality assurance in BPMN models in a Biodiesel plant |
Businness Process | Quality assurance in BPMN models in a Biodiesel plant |
c |
Cloud | AI Enabled SaaS Framework for Fashion Designing Design of a New Secured Hierarchical Peer-to-Peer Fog Architecture Based on Linear Diophantine Equation |
Cloud Computing | Edge Networks the Future of Cloud Computing |
conservation law | Mining for Conserved Constituents and Quantities |
conserved quantities | Mining for Conserved Constituents and Quantities |
continuous logic | Quality assurance in BPMN models in a Biodiesel plant |
cooperation | Learning Thresholds to Select Cooperative Partners by Applying Deep Reinforcement Learning in Distributed Traffic Signal Control |
cost optimization | Adaptive Fair and Cost-Effective Load Balancing in Distributed Computing Systems |
Crawling Based Data Collection | Crawling Based Data Collection and Data Pre-processing |
Cybersecurity | Viability of Machine Learning in Android Scareware Detection |
d |
data pre-processing | Crawling Based Data Collection and Data Pre-processing |
decentralized network | Edge Networks the Future of Cloud Computing |
Decision Tree | Viability of Machine Learning in Android Scareware Detection |
decomposition | Title Overlapping Communities Discovery and Improvement |
deep learning | 3D Objects Detection and Recognition from Color and LiDAR Data for Autonomous Driving |
Deep Q-Network | Learning Thresholds to Select Cooperative Partners by Applying Deep Reinforcement Learning in Distributed Traffic Signal Control |
Deep Reinforcement Learning | Learning Thresholds to Select Cooperative Partners by Applying Deep Reinforcement Learning in Distributed Traffic Signal Control |
Derangement | Alternative Approach to Achieve a Solution of Derangement Problems by Dynamic Programming |
distributed systems | Adaptive Fair and Cost-Effective Load Balancing in Distributed Computing Systems |
dynamic programming | Alternative Approach to Achieve a Solution of Derangement Problems by Dynamic Programming |
e |
Edge Networks | Edge Networks the Future of Cloud Computing |
f |
fairness | Adaptive Fair and Cost-Effective Load Balancing in Distributed Computing Systems |
fake news | Fake News Detection System: An implementation of BERT and Boosting Algorithm |
Fashion | AI Enabled SaaS Framework for Fashion Designing |
faster settling time | Real-Time Temperature Control of Shell and Tube Heat Exchanger by IMC based PID controller |
Fog | Design of a New Secured Hierarchical Peer-to-Peer Fog Architecture Based on Linear Diophantine Equation |
Fuzzy Logic | Quality assurance in BPMN models in a Biodiesel plant |
i |
Internal Model Control | Real-Time Temperature Control of Shell and Tube Heat Exchanger by IMC based PID controller |
l |
LDEPTH | Design of a New Secured Hierarchical Peer-to-Peer Fog Architecture Based on Linear Diophantine Equation |
lesser overshoot | Real-Time Temperature Control of Shell and Tube Heat Exchanger by IMC based PID controller |
LIDAR sensing | 3D Objects Detection and Recognition from Color and LiDAR Data for Autonomous Driving |
logic odiscovery | Mining for Conserved Constituents and Quantities |
m |
machine learning | Viability of Machine Learning in Android Scareware Detection Fake News Detection System: An implementation of BERT and Boosting Algorithm Using Machine Learning to Predict Airport Passenger Throughput |
Malware | Viability of Machine Learning in Android Scareware Detection |
modularity | Title Overlapping Communities Discovery and Improvement |
n |
NLP | Fake News Detection System: An implementation of BERT and Boosting Algorithm |
non-dht | Infrastructure Development of Non DHT-Based Pyramid Tree Network Architecture |
o |
object detection | 3D Objects Detection and Recognition from Color and LiDAR Data for Autonomous Driving |
overlapping communities | Title Overlapping Communities Discovery and Improvement |
p |
P2P | Design of a New Secured Hierarchical Peer-to-Peer Fog Architecture Based on Linear Diophantine Equation |
P2P network | Infrastructure Development of Non DHT-Based Pyramid Tree Network Architecture |
passenger prediction | Using Machine Learning to Predict Airport Passenger Throughput |
PDF Extractor | Crawling Based Data Collection and Data Pre-processing |
polynomial regression model | Using Machine Learning to Predict Airport Passenger Throughput |
probability theory | Alternative Approach to Achieve a Solution of Derangement Problems by Dynamic Programming |
process quality | Quality assurance in BPMN models in a Biodiesel plant |
r |
real-time control | Real-Time Temperature Control of Shell and Tube Heat Exchanger by IMC based PID controller |
recursion | Alternative Approach to Achieve a Solution of Derangement Problems by Dynamic Programming |
s |
SaaS | AI Enabled SaaS Framework for Fashion Designing |
Scareware | Viability of Machine Learning in Android Scareware Detection |
service | AI Enabled SaaS Framework for Fashion Designing |
Shell and tube heat exchanger | Real-Time Temperature Control of Shell and Tube Heat Exchanger by IMC based PID controller |
Stock Forecasting | A Stock Recommendation System |
t |
text classification | Fake News Detection System: An implementation of BERT and Boosting Algorithm |
traffic signal control | Learning Thresholds to Select Cooperative Partners by Applying Deep Reinforcement Learning in Distributed Traffic Signal Control |