https://repository.utm.md/handle/5014/16141 ENGINEERING AND COMPUTER SCIENCE SUBSECTION Sun, 19 Apr 2026 16:19:49 GMT 2026-04-19T16:19:49Z https://repository.utm.md/handle/5014/16233 Motoare de căutare a informaţiei GHERCIU, Pavel; MAȚARIN, Vlaicu; GHIMP, Mihail; MUNTEAN, Dorian; ISTRATI, Daniela În acest articol va fi prezentată importanța motoarelor de căutare, precum și modul în care acestea funcționează. Motoarele de căutare sunt sisteme software care sunt concepute pentru a efectua căutări pe web într-un mod sistematic pentru anumite informații specificate într-o interogare de căutare textuală. Prin intermediul roboților de căutare utilizatorului ii sunt oferite o serie de răspunsuri, care i-ar putea fi utile in dependentă de ceea ce a căutat acesta pe net. Fri, 01 Jan 2021 00:00:00 GMT https://repository.utm.md/handle/5014/16233 2021-01-01T00:00:00Z https://repository.utm.md/handle/5014/16231 Omnidirectional machines that perform patient care RUSU, Dacian; CONSTANTINOVA, Carina; BELINSCHI, Victoria; COVAL, Dumitru The worldwide pandemic situation with COVID-19 is still not over, consequently, it is crucial to come up with a project that ensures health providers such as caregivers, nurses, doctors, and other workers are not being affected by any viral infection. Our system consists of an omnidirec-tional wheel car that would provide bi-directional safe communication between medical staff and af-fected patients, ensuring an easier experience and work with fighting the virus for both he doctors and the Covid sufferer. Fri, 01 Jan 2021 00:00:00 GMT https://repository.utm.md/handle/5014/16231 2021-01-01T00:00:00Z https://repository.utm.md/handle/5014/16229 Online recognition of mobile objects CIORBA, Dina; LEȘCO, Andrei; DODI, Cristian-Dumitru; PLEȘCA, Anișoara-Ionela The system designed for the recognition of geometrical figures that are moving on a conveyor belt was developed by using the Canny edge detection algorithm, where the objects are identified with the maximum accuracy. The Canny algorithm provided a 88% accuracy result, alongside the Bilateral Filtering and Thresholding algorithms, which were also used for image processing experiments. To enable the training of machine learning models to classify the objects according to the defined labels, the AutoML Vision was used as a part of the system brain - Artificial Intelligence. The current project describes the flow of implementing the system with real images of the results and deductions. Fri, 01 Jan 2021 00:00:00 GMT https://repository.utm.md/handle/5014/16229 2021-01-01T00:00:00Z https://repository.utm.md/handle/5014/16227 Object sorting using computer vision technologies OSADCENCO, Alexandru; LEADAVSCHI, Vladimir; PALAMARI, Daniela; LATCOVSCHI, Alexandru Newly, all activities conducted routinely in the industry have been increasingly favouring robotic automation. Pick and place robots are a type of technology used in the manufacturing industry to conduct operations of picking objects from a point and moving it to another. The system is built in such a way that it prevents human error, resulting in more accurate work. Pick and place robots are built and deployed in a variety of fields, including the packaging industry, food industry, manufacturing industries, and even surveillance to detect and kill explosives. Moreover, robotic arm prototypes serve as an example for those interested in its programming and kinematics, giving them the freedom to create and upgrade it, due to its several software and hardware interactions. Fri, 01 Jan 2021 00:00:00 GMT https://repository.utm.md/handle/5014/16227 2021-01-01T00:00:00Z