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With the extensive application of machine learning algorithms in bioinformatics, more and more computer researchers are beginning to focus on this field. Polyadenylation of messenger RNA (mRNA) is one of the key steps of gene expression in eukaryotes, polyadenylation site marks the end of transcription, it is of great significance to explore prediction of the site of gene sequences encoding gene....
Transferring artistic styles onto everyday photographs has become an extremely popular task in both academia and industry. Recently, offline training has replaced online iterative optimization, enabling nearly real-time stylization. When those stylization networks are applied directly to high-resolution images, however, the style of localized regions often appears less similar to the desired artistic...
Reinforcement learning is an effective algorithm for brain machine interfaces (BMIs) which interprets the mapping between neural activities with plasticity and the kinematics. Exploring large state-action space is difficulty when the complicated BMIs needs to assign credits over both time and space. For BMIs attention gated reinforcement learning (AGREL) has been developed to classify multi-actions...
The goal of the project is to design intelligent and robust image-processing and augmented-reality algorithms for driver assistance and enhanced vehicular safety. In particular, the focuses were two-fold: (1) realizing the abilities to identify and localize in a vehicle''s on-board video the sweeping windshield wipers during raining days and (2) designing and implementing an in-painting technique...
This paper proposes a new algorithm to eliminate the wiper interference in a vehicle's onboard video to improve the detection rate of vision-based Advanced Driver Assistance Systems (ADAS), such as Forward Collision Warning (FCW) Systems. During raining days, the windshield wipers periodically and partially block the appearance of obstacles on the road that are to be detected in these early warning...
Market clearing price (MCP) forecasting techniques is very important for the development of the electricity market. A three-layered neural network is used to predict electricity prices. MCP is seen as a multi-input single-output system and the historical electricity price and load data is utilized in an electricity market. The neural network is based on Minimum Entropy Error (MEE) cost function and...
This article aim at the MC Agent which kinds of the general computer immune system model (GECISM), basing on fuzzy-ID3 Algorithm and constructing decision tree with the data set made by the system invoke of the application procedures, thus generated the intrusion detection rules in the General computer immune system model, and carried on a contrastive diagnosis with the C4.5 algorithm generative rule,...
To solve the strong randomicity and slow convergence of the Particle Swarm Optimization (PSO) algorithms, two new particlepsilas position renewal formulas were analyzed on the basis of extrapolation in mathematics. A new modified PSO algorithm (called Leading PSO algorithms) was put forward. The direct torque control (DTC) system was built in the environment of Matlab (Simulink). The weight and threshold...
Generally speaking, several aspects related to relevance feedback based CBIR include what means should be adopted for approximate semantic description of image content, what strategies be applied to sample labeling in feedback and what relevance model would be built for online discrimination. Using random sampling strategy, we construct a set of random subspaces for learning multiple intrinsic descriptions...
Most of the face recognition algorithms were proposed based on training numerous still examples of face images to accommodate different face variations, such as pose and illumination variations. However, it is not practical to collect lots of face images under different variations for each subject in a real authentication system. In this paper, we propose a novel face recognition system with only...
Based on the nonlinearity in direct torque control (DTC) system, a modified PSO (particle swarm optimization) algorithm is proposed to optimize BP (back-propagation) neural network and structure the rotational speed identifier. Combined a linear digression method of inertia weight with a particle turning laws, this algorithm can accelerate the convergence speed of BP neural network and realize global...
A new adaptive equalizer based on gene SPILL (Simulated Prokaryote Interchange of aLLeles) algorithm is proposed. The gene SPILL algorithm is based on prokaryote genetic exchange pattern. This algorithm has been used to optimize the weights of the equalizer. The performance of the proposed equalizer has been evaluated and compared with its LMS based counter part. It is observed that the new equalizer...
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