• MICROSCOPIC IMAGE CELL COUNTING USING CONVOLUTIONAL NEURAL NETWORKS 

  Tare, Aleks (2020-07-13)

  As the field of automation is moving forward at ever-faster rates, cell counting and classification is an omnipresent yet repetitive task that would benefit greatly from this field. The counting of contiguous cells in a ...
• FRACTAL IMAGE COMPRESSION USING NEURAL NETWORKS 

  Lisi, Aldo (2020-07-21)

  Image compression is an interesting field in image analysis that has been around for quite a long time now. This field simply aims to reduce the image size and to maintain a good level of their reconstructed image. In the ...
• CELL DETECTION USING DEEP LEARNING AND HAND-CRAFTED FEATURES 

  Panci, Ina (2020-07-13)

  With the Artificial Intelligence becoming more and more powerful in time, there is a growing interest about scientists focusing in providing answers in the field of medical image analysis. The importance of using AI in ...
• A REVIEW THREAT OBJECT DETECTION IN X -RAY IMAGES USING SSD, R-FCN AND FASTER R -CNN 

  Koçi, Jola (2020-07-23)

  Baggage inspection for threat objects using X-ray images is a priority task that is in charge of making the risk of crime and terrorist attacks more reducible. Nowadays, the checking of baggage is based on a semi-automated ...
• EMOTION RECOGNITION BASED ON FACIAL EXPRESSIONS USING CONVOLUTIONAL NEURAL NETWORK 

  Begaj, Sabrina (2020-07-23)

  Over the last years, there is a large number of studies focused in automatic facial expression analysis because of its practical importance in many human-computer interaction Systems. With the transition of facial ...
• BREAST IMAGE CLASSIFICATION USING ENSEMBLE DEEP LEARNING ARCHITECTURES 

  Ganellari, Artjola (2020-06-26)

  Breast cancer is one of the most widespread diseases around the world which mostly leads to the death not only in women, but also men. The rapid development of the technology and the disruption era, have contributed into ...
• IMAGE SEGMENTATION USING THRESHOLDING TECHNIQUE FPGA NEXYS A7 BOARD 

  Dervishi, Ardit (2020-07-24)

  Nowadays, with the introduction of Graphics Processing Unit for general purpose issues, not only graphical ones, there has been an increasing attention towards exploiting GPU processing power for deep learning algorithms. ...
• BITCOIN PRICE PREDICTION USING DEEP LEARNING 

  Xhixho, Klea (2020-06-26)

  Bitcoin is a sort of computerized cash in which a record of exchanges is kept up and new units of cash are produced by the computational arrangement of scientific issues, and which works autonomously of a central bank. ...
• DEVELOPMENT OF A HEURISTIC SEARCH BASED PLANNER FOR AN AMBIENT INTELLIGENT SYSTEM 

  Veliu, David (2020-06-26)

  With the improvement of living standards, the aging of society is increased. As the population age, the number of people with cognitive disabilities is growing in various regions of the world. In the context, the traditional ...
• CELL IMAGE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS 

  Hajdari, Fjona (2020-10-06)

  Medical image processing is a field of great interest, and improvements on this field have made possible better and faster diagnosing of sick organs or tissues. This study’s main focus is the classification of healthy and ...
• COOPERATIVE SPECTRUM SENSING USING MACHINE LEARNING-BASED MODELS 

  Patoshi, Nevisa (2020-07-24)

  The unstoppable evolution that has affected mobile telecommunication systems in the last three decades has caused the occupation of the licensed frequencies, but at the same time these frequencies are not being used ...
• A REVIEW STUDY ON THE USE OF HIGH-LEVEL SYNTHESIS FOR IMPLEMENTING DEEP LEARNING ALGORITHMS IN FPGAs 

  Ruçi, Danjela (2020-10-02)

  Because of the high precision that they offer, CNNs represent a very important model for systems that do image identification. However, such a task has high costs. For this reason, the current goal is to implement designs ...
• PREDICTION OF SOLAR RADIATION IN TIRANA USING MACHINE LEARNING ALGORITHMS 

  Trashani, Albi (2021-02-20)

  The application of machine learning in everyday life is growing and extending to every aspect of life. Not only is it becoming more accurate but also is showing great improving results in many different industries. Nowadays ...
• ANALYSIS OF DIFFERENT MEDICAL IMAGE DATASETS USING PIXEL INTENSITY BASED ALGORITHMS AND DEEP LEARNING 

  Leka, Sonila (2021-03-05)

  Medical imaging is an important area of research that relies on correct analysis of large datasets. Deep learning is a class of the machine learning family based on artificial neural networks (ANNs) and the field of ...
• A REVIEW ON OPERATING SYSTEM CLASSIFICATION WITH MACHINE LEARNING USING TCP/IP AND TLS INFORMATION 

  Pashollari, Kristjan (2021-02-26)

  It is an issue of both security and management for all network administrators to determine the Operating Systems (OS) that are using their network. Identification of Operating Systems in any kind of network has been a ...
• BETTER CONFORMANCE CHECKING FROM PROCESS MODEL GENERATED BY PROCESS TREE 

  Gjoka, Hegi (2021-02-20)

  Process mining field is massively used nowadays by medium and large size enterprises, in order to have a better understanding of the processes that occurs and it helps them in the decision-making aspect by presenting the ...
• USING FASTER RCNN FOR CELL IMAGE DETECTION 

  Gjerazi, Ari (2021-07-16)

  There is an ever-growing need for automated detection (and classification) of microscopic images containing cellular samples. To this end, the focus of this work is to provide a method of performing this detection: through ...
• FOURIER PTYCHOGRAPHY MICROSCOPY – PORTABILITY AND COMPUTATION PROBED BY POINT OF CARE ANALYSIS 

  Imeraj, Gent (2021-07-21)

  Medical imaging is a growing field that has stemmed from the need to conduct non-invasive diagnosis, monitoring and analysis of biological systems. We focused on image acquisition and image analysis using portable microscopes ...
• A CASE STUDY OF PENETRATION TESTING FOR ANDROID DEVICES 

  Muka, Erilda (2021-07-27)

  Nowadays we have an increase in the usage of the internet, smartphones and smart devices. This gives a higher demand on applications and especially on security levels. Users are sharing confidential and sensitive information ...
• CELL IMAGE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS AND DIFFERENT IMAGE PREPROCESSING TECHNIQUES 

  Dollani, Edit (2021-08-16)

  Medical image analysis field is highly dependent on good quality research that can result in time, cost improvements and aid in providing faster and better diagnosis for patients. Machine learning and especially convolution ...

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