In the world of social media people are more responsive towards product or certain events that are currently occurring. This response given by the user is in form of raw textual data (Semi Structured Data) in different languages and terms, which contains noise…
This work presents the creation of classifiers able to automatically diagnose Alzheimer’s disease from structural magnetic resonance images. Measurements of regions inside the human brain and how they relate to a diagnosis of Alzheimer’s disease are investigat…
Heterogeneity is becoming one of the key characteristics inside enterprise data, because the current nature of globalization and competition stress the importance of leveraging huge amounts of enterprise accumulated data, according to various organizational pr…
Object detection and recognition has been used extensively in recent years to solve numerus challenges in different fields.Due to the vital roles they play, object detection and recognition has enabled quantum leaps in many industry fields by helping to overco…
H συνεχόμενη ανάπτυξη του διαδικτύου δημιούργησε νέους τρόπους επικοινωνίας. Τα social media παράγουν ένα τεράστιο όγκο δεδομένων σε μορφή κειμένου, τα οποία παρέχουν πληροφορίες για τις απόψεις και τα συναισθήματα των χρηστών. Σκοπός της Εξόρυξης Δεδομένων (D…
Businesses look at Big Data as an opportunity to gain insights for improving their services. The derivation of such insights requires using different data mining techniques. Mature data mining tools like WEKA or R have been in development for years. They imple…
The big challenge is changing the way we acquire, store, analyse, and draw conclusions from data. How we effectively and efficiently mine the data from possibly multiple sources and extract useful information is a critical question. Increasing research attenti…
Computational finance is a relatively new discipline whose birth can be traced back to early 1950s. Its major objective is to develop and study practical models focusing on techniques that apply directly to financial analyses. The large number of decisions and…
The objective of this thesis is to apply machine learning and data mining methods, especially classification and clustering, onto deflectometric data of surface defects found on car bodies. The data is acquired via robot-assisted automated surface inspection s…
This project developed for the Avito LOOPS company. Research goals was to investigate existing algorithms and implementations of Deep Learning, to understand their applicability to text mining, to design a solution that incorporates theoretical and practical a…
Humans are experts at recognising patterns in past experience and applying them to new tasks. For example, after seeing pictures of a face we can usually tell if another image contains the same person or not. Machine learning is a research discipline at the in…
In this work, Acoustic Emission Technique (AET) and Pattern Recognition Technique (PRT) are used in combination for classification of AE signals obtained from two experimental applications in the mining sector. AE signals are collected and used to form feature…
أنا مساعد المستودع. اسألني عن الرسائل والأطاريح حسب الموضوع أو الجامعة أو الدولة أو السنة أو الدرجة، أو اطلب أعداداً وإحصاءات.
يجيب من قاعدة بيانات المستودع فقط، ولا يخترع سجلات أو أرقاماً. لا يُحفظ ما تكتبه على الخادم.
قد يخطئ المساعد أحياناً، فراجع المصادر المرفقة.
