Some of the Latest Computer Science Topics
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An intelligent way to Detect Breast Concern and to alert a Driver when their Judgments’ seem impaired Using Computer Learning Algorithm
For a long time computers have been trained to recognize patterns and interpret them, using algorithms. The machine learning is meant to automate the scientific methods that are applied in various fields. This argument leads to, 'if a well-programmed machine encounters a lot of examples,' it will be in a position to recognize patterns and interpret them in a meaningful way. The principal of learning machine has been adapted to diagnose breast concern and the impaired judgment of a driver inside a car and alert him in case there is impairment. The car is installed with a computerized machine that learns the behavior of the driver and it can interpret the behavior of the driver if impaired. The trained computerized machine which has been exposed in various aspects or examples, once there is a problem it starts recognizing patterns it has ever encountered and it is in a position to diagnose or identify a problem.
Computerized Robotic Mechanism for Stroke Survivors to function normally, using Artificial Motor in the Brain to Enhance Neuron Impulses
Computer Guided Dental Surgery Based on the Three Dimensional Scan to Ease the Process of Implantation of Crown
The dental surgery encounters difficulties in the implantation of the crown over dental implantation which takes six months, now it takes just a day to implement. The implantation is incorporated with a replacement bond unit agent, a biomaterial made of titanium that enables integration with the human bone and soft tissue growth at the gum line. The novel 3-D computerized Tomography (CT) scanning technologies make it possible to be done within a single day. Using the CT, it scans images in a computer software program, the dentist can inspect the bone in all dimension as if holding it on the hands. The technology eliminates the need to loosen the gum to inspect the bone and this allows fabrication of the temporary teeth before the surgical procedure starts. This makes it natural dental implantation with fewer injuries, swelling, and inflammation for the patient. The patient also spends less time in the dentist chair, the technology not only allows the dentist to do the operation but also to enable him to do a good analysis of the operation and minimize the damages.
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New way to take Risk Analysis in the Insurance Company using Artificial Intelligence to avoid Miscalculation and Loss that is Incurred
Efficient Fingerprints retrieval from the Finger Print Database using Graph-Based classification to ease criminal investigation
The fingerprint classification is mainly used in criminal investigation and it uses a database for fingerprints storage. But the database has become large and storage capacity will increase if it is not stored as it is. A relational graph is more appropriate for retrieving the data since the nodes naturally correspond to the regions extracted by the segmentation algorithm. Each graph node can be associated with a segmentation region and the edges join the two nodes according to the adjacent relationship of each region. In the computation of relational graphs, the error correcting method is used. The computing method measures the dissimilarity between the graphs representing the input pattern to be classified and a certain graph prototype is included. On the other hand the similarity measure (edit distance). The process is done using by deformation model of substituting, inserting or deleting nodes or edges. This makes graph representation of the fingerprints much useful than any other structural methods.
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