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Toplam kayıt 52, listelenen: 11-20
DLGBD: A directional local gradient based descriptor for face recognition
(Springer, 2019)
This paper proposes a novel high-performance gradient-based local descriptor that handles the prominent challenges of face recognition such as resistance against rotational, illuminative changes as well as noise effects. ...
Novel multispectral face descriptor using orthogonal walsh codes
(Inst Engineering Technology, 2019)
This paper proposes a novel high-performance multispectral local descriptor that uses orthogonal Walsh codes during the generation of the discriminative feature set. Rotational variance and noise are compelling factors ...
Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes
(Sage, 2020)
Reliable prediction of municipal solid waste (MSW) generation rates is a significant element of planning and implementation of sustainable solid waste management strategies. In this study, the multi-layer perceptron ...
RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions
(Academic Press Inc Elsevier Science, 2020)
Feature extraction is one of the most important preprocessing steps in predicting the interactions between RNAs and proteins by applying machine learning approaches. Despite many efforts in this area, still, no suitable ...
A machine learning-based framework for predicting game server load
(Springer, 2020)
Server load prediction can be utilized for load-balancing and load-sharing in distributed systems. The use of machine learning (ML) algorithms for load estimation in distributed system applications can increase the ...
MAP-ACO: An efficient protocol for multi-agent pathfinding in real-time WSN and decentralized IoT systems
(Elsevier, 2020)
Efficient energy consumption is one of the main problems in wireless sensor networks routing protocols. Since the sensor nodes have limited battery level and memory space, it is important to manage these resources efficiently. ...
FTSH: a framework for transition from square image processing to hexagonal image processing
(Springer, 2020)
This paper proposes a novel framework for transition from the ordinary square-pixel-based image processing (SIP) domain to the hexagonal-pixel-based (HIP) domain (FTSH). The conventional image acquisition and processing ...
Autonomous Vehicle Convoy Formation Control with Size/Shape Switching for Automated Highways
(Materials & Energy Research Center-Merc, 2020)
Today's semi-autonomous vehicles are gradually moving towards full autonomy. This transition requires developing effective control algorithms for handing complex autonomous tasks. Driving as a group of vehicles, referred ...
A Novel Cancellation Protection Service in Online Reservation System
(IEEE, 2020)
Web-based systems are frequently used by the customers as well as travel agencies for online flight reservation and booking. In general, customers prefer to plan their trips as early as possible to take advantage of ...
Comparative Performance Analysis of Support Vector Regression and Artificial Neural Network for Prediction of Municipal Solid Waste Generation
(Sage Publications Ltd, 2021)
The evolution of machine learning (ML) algorithms provides researchers and engineers with state-of-the-art tools to dynamically model complex relationships. The design and operation of municipal solid waste (MSW) management ...