Bioinformatics has gradually received widespread attention and shown the characteristics of a large amount calculation high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics improve efficiency processing problems. Big data artificial intelligence technologies have supporting achieved certain results field bioinformatics. Introduced application basis big bioinf...

In order to effectively solve problems and complete data processing quickly, a model based on computational knowledge training technology is prepared. First, prepare the cognitive then learn as techniques (distribution, decision-making, etc.) that can be used in process of scheduling work environment. The main points progress research are follows. Many people see purpose problem streams difficu...

-------------------------------------------------------ABSTRACT--------------------------------------------------To Study about the Face Hallucination technique and to create high-resolution face images. After that Apply Artificial intelligence based cuckoo search technique to get high hallucination parameters. Cuckoo work on the colored image and performing face hallucination. PSNR, EPI, MOS, ...

Crowdsourcing platforms, such as Amazon Mechanical Turk, have enabled the construction of scalable applications for tasks ranging from product categorization and photo tagging to audio transcription and translation. These vertical applications are typically realized with complex, self-managing workflows that guarantee quality results. But constructing such workflows is challenging, with a huge ...

the aim of this paper is to present four strategies to increase the accuracy and speed of optimization of truss structures under the constraint of structural system failure probability (ssfp). in the first strategy based on the probability rules, a criterion is defined to avoid producing many correlated paths and obtain more accurate upper bound of ssfp. in the second strategy, the force method...

The vision of artificial intelligence (AI) is often manifested through an autonomous software module (agent) in a complex and uncertain environment. The agent is capable of thinking ahead and acting for long periods of time in accordance with its goals/objectives. It is also capable of learning and refining its understanding of the world. The agent may accomplish this based on its own experienc...

We discuss the thesis that the implementation of a moral code in the behaviour of artificial intelligent systems needs a specific form of human and artificial intelligence, not just an abstract intelligence. We present intelligence as a system with an internal structure and the structural levels of the moral system, as well as certain characteristics of artificial intelligent agents which can/m...

Wind speed forecasting is critical to renewable energy generation, agriculture, and disaster prevention. Due the uncertainty intermittence of wind, conventional methods with numerical weather prediction (NWP) models fall short achieving satisfactorily high accuracy. Post-processing predicted results necessary for enhancing The industry generally employs time-series (TSP) error correction, yet i...