Browsing Software Engineering by Subject "Software Engineering"

AMHARIC CAPTION GENERATION FROM HOLY PICTURES USING DEEP LEARNING

AGEGNEHU, TESHOME (2023-06)

The widespread availability of portable cameras and mobile phone cameras has led to a significant increase in the number of captured images. However, effectively describing the information contained in these images remains ...

Amharic-Khimtagne Bi-directional Machine Translation Using Deep Learning

Adane, Kasie Chekole (2023-07)

r Amharic-Khimtagne and Khimtagne-Amharic translations, respectively. The main limitation of this research is the lack of sufficient datasets to conduct an entire experiment. Therefore, it is necessary to collect ...

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 ...

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 ...

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 ...

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 ...

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 ...

CLASSIFICATION OF FUNCTIONAL AND NON-FUNCTIONAL REQUIREMENTS FROM AMHARIC TEXTUAL DOCUMENTS

ELSAY, MEKONEN (2021-09)

Software Development Lifecycle (SDLC) is a process for developing high-quality software products that satisfy client needs. Software requirement detection and classification is one of the challenging and tedious ...

CLASSIFICATION AND PRIORITIZATION OF REQUIREMENTS SMELLS USING MACHINE LEARNING ALGORITHMS

FEKERTE, BERHANU TADLE (2023-07)

Software requirements are a description of what the software is expected to do and behave. Specifying requirements in natural language might face difficulties like clarity, inaccuracy, ambiguity, incompleteness, ...

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 ...

COSMIC-BASED FUNCTIONAL SIZE ESTIMATION OF AGILE SOFTWARE DEVELOPMENT USING DEEP LEARNING APPROACH

YOHANNES, SEFANE MOLLA (2022-10)

Early software size estimation helps to manage software projects ahead of resources, especially in agile methods. Common Software Measurement International Consortium (COSMIC) is an objective functional size measurement ...

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 ...

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

MInwuyelet, Tesfahunegn (2020-03-16)

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 ...

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 ...

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. ...

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 ...

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 ...

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, ...

DEVELOP THE HERBS PLANT CLASSIFICATIONMODEL FOR PATIENT CARE USING DEEP LEARNING

SURAFEL, AMSALU TADESSE (2023-06)

This paper focuses on noise removal in the classification and description of herbal plants using the Xception model. The study aims to improve accuracy by addressing challenges related to shadow removal, dust removal, ...

Browsing Software Engineering by Subject "Software Engineering"

Browsing Software Engineering by Subject "Software Engineering"

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