Browsing Software Engineering by Issue Date

Classifying Wrist Magnetic Resonance Image (MRI) for Estimating Chronological Age: An Image Processing and Deep Learning Approach

Tilahun, Bezawork (2020)

Age estimation from left-hand radiograph is a commonly used radiological tool for determining unidentified age. Magnetic resonance imaging (MRI) is particularly useful in age estimation. The wrist MRI is an effective means ...

AUTOMATIC CODE GENERATION FROM LOW FIDELITY GRAPHICAL USER INTERFACE SKETCHES USING DEEP LEARNING

BEHAILU, BINIAM (2020)

User Interface Design process includes the part from an imagination that begins on a piece of paper or whiteboard where designers share thoughts. User Interface designers use a technique of paper prototyping in low-fidelity ...

SOFTWARE EFFORT ESTIMATION MODEL USING GENETIC AND PARTICLE SWARM OPTIMIZATION ALGORITHM

DEMLEW, MEHARY (2020)

Software effort estimation is the process of predicting the number of human required to develop a particular software project. During software development, the initial requirement is usually changed and this makes the ...

CRIME ANALYSIS AND PREDICTION USING HYBRID DEEP LEARNING ALGORITHMS

Tamiru, Meron (2020)

Crime is the act of offending and doing illegal activity. Previous studies have shown crime should be predicted using demography, location and time features. This thesis attempt to predict crime types using hybrid of deep ...

A framework for evaluating web based Applications qualitybased on usability

Ashagrre, Samuel (2020)

A web application is an application that is accessed over a network connection using HTTP, rather than existing within a storage medium.Web applications are hybridbetween a Web site and a standard application and provide ...

Ethiopian Sign Language Recognition Based on Hand Gesture and Facial Expression using Convolutional Neural Network

Andargie, Walelign (2020)

Sign language is the natural language used by hearing-impaired people to communicate with each other. Most of the time, healthy people do not understand sign language restricting the deaf community to communicate with only ...

DESIGNING SOFTWARE DEFECT PREDICTION MODEL USING FILTER FEATURE SELECTION AND SUPPORT VECTOR MACHINE ALGORITHMS

FISSIHA, ZELALEM (2020)

With an increase in the size and complexity of the software, software testing is a vital activity in software engineering to measure software quality. Finding and fixing defects in software modules have a significant impact ...

Improving Software Reliability Growth Models Based on Neuro-Genetic Approach

Chalachew, Abraham (2020-02)

Software engineering is incomplete without Software reliability prediction. For characterizing any software product quality quantitatively during phase of testing, the most important factor is software reliability assessment. ...

Automatic Flower Disease Identification Using Deep Convolutional Neural Network

Ashebr, Desalegn (2020-02)

Nowadays flower cultivation is the most predominant in Agricultural business. However, during the Cultivation of flowers, there are a number of risks that affect the flower, one of which is a disease. Fungus, bacteria, and ...

Appropriate Requirements Elicitation Techniques Selection by Using Convolutional Neural Network

Belay, Desalegn (2020-02)

Requirements elicitation refers to the collection of the wish lists or needs of stakeholders. It is the first and one of the most critical phases of Requirements Engineering. Many techniques have been proposed to support ...

Software Defect Severity and Priority Prediction Model Using Recurrent Neural Network

Tesfa, Hailemariam (2020-02-25)

As software systems become larger and more complicated, the task of detecting and fixing defects to improve the software performance is getting duller and inefficient. Developers employ issue tracking systems to collect ...

Designing a Framework for Automatic Electric Energy Meter Reading and Theft Detection

Teshager, Yasabneh (2020-02-27)

In the era of advanced technology and smart environments, automating the tasks in daily life for smart lives is under high desire. Among the tasks to be automated, electric energy meter reading and theft detection is one ...

DETECTION AND GRADING OF TRACHOMA USING DEEP CONVOLUTIONAL NEURAL NETWORK

YENEGETA, BELESTI (2020-03-16)

Trachoma is the leading bacterial infectious cause of blindness worldwide especially in developing countries such as Ethiopia. Examination for clinical signs of trachoma involves careful inspection of the lashes, cornea, ...

Design and Development of an Autonomous smart stick Framework for Assisting visually Impaired People

MInwuyelet, Tesfahunegn (2020-03-16)

Designing Software Process Improvement Framework for Small Scale Software Firms

Mengiste, Tadele (2020-05-04)

This study proposed a simplified software process improvement framework for small scale software firms. It identifies a set of practices core to software development. It can be more readily adopted by small scale software ...

Design and evaluation of the usability of amharic visual programming language for simple web-based application development

Damena, Addisu (2020-05-22)

The computer programming language has been evolving alongside the evolution of computer machines. The demand for computer software is increasing at a rate where computer programming is now a part of every educational ...

AUTOMATIC CAUSE DETECTION OF HUMAN DEATH USING CONVOLUTIONAL NEURAL NETWORK

MEBTU, KEFALE ALACHEW (2021-06)

Nowadays,human violent deaths, suspicious deaths, and sudden deaths occur around the world in both developed and developing countries. Car accident, Suicide death, homicide death, comes first in the list of the loss ...

DEVELOPING PREDICTIVE MODEL FOR FOOTBALL MATCH RESULT IN ETHIOPIAN PREMIER LEAGUE USING MACHINE LEARNING ALGORITHM

DANIEL, CHEKOLE (2021-09)

A prediction for any sport type is something we always try in our sport life. An early prediction is always helpful for the team management to work on their plan and train the team quickly. The same is ...

AUTOMATIC IDENTIFICATION OF ETHIOPIAN HABESHA KEMIS CLOTH FABRIC USING MACHINE LEARNING

Afewerk, Abiye Jember (2021-09)

Habesha Kemis is the conventional clothing of ladies in Ethiopia which is worn during ceremonial and formal events. Identifying and inspecting Habesha Kemis Cloth fabric is based on the human experts. Various researchers ...

DESIGNING A MODEL FOR MEASURING THE COMPLETENESS OF NON FUNCTIONAL REQUIREMENT USING MACHINE LEARNING

DEMAMU, MELASH (2021-09)

In a software development project, the usefulness of a system specification depends on the completeness of the requirements. The software requirement is partitioned into two functional and non-functional requirements. ...

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