Browsing Information Technology by Subject "INFORMATION TECHNOLOGY"

AMHARIC SPEAKER DIARIZATION SYSTEM USING DEEP LEARNING APPROACH

ABEBE, FENTA MIHIRET (2021-06)

In Ethiopia, a number of languages are spoken. Among these languages, Amharic is the working language of the Federal Government and spoken by a large part of the Ethiopian population. Due to this there is a big quantity ...

AMHARIC TEXT HATE SPEECH DETECTION IN SOCIAL MEDIA USING DEEP LEARNING APPROACH

EMUYE, BAWOKE (2020-07)

The connectivity and accessibility of social media platforms in the world allow people to express their ideas and share experiences easily. However, the anonymity and flexibility afforded by the Internet have made it ...

AMHARIC WORD SENSE DISAMBIGUATION USING TRANSFER LEARNING

NEIMA, MOSSA AHMED (2022-08)

Word sense disambiguation (WSD) plays an important role in different NLP applications such as information extraction, information retrieval, machine translation, and lexicography. The manual disambiguation ...

AUTOMATIC CAUSAL RELATION EXTRACTION FOR AMHARIC LANGUAGE TEXTS USING CNN

MEKURIAW, MELKAMU CHEKOL (2020-08-12)

The extraction of a causal relation could be a difficult task while it is very important domain area for Natural Language Processing (NLP). There are many existing approaches and techniques developed in order to tackle ...

Automatic Multiword Expressions Detection in Amharic language using machine learning approach

Atinkut, Muche (2022-11)

The innovative techniques of NLP in MWEs have become a very vital area of research in today’s scenario. Multiword expression (MWE) referred to lexical unit larger than a word that can allow both idiomatic and compositional ...

AUTOMATIC POWDERY AND DOWNY MILDEW PUMPKIN LEAF DISEASE IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK.

AZEMERAW, AMARE TSEGA (2021-09)

A careful analysis of an image processing-based disease identification method is required for detecting, identifying, and treating pumpkin plant disease before it causes damage to the entire plant, Because diseases in ...

AUTOMATIC POWDERY AND DOWNY MILDEW PUMPKIN LEAF DISEASE IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK.

AZEMERAW, AMARE TSEGA (2021-09)

A careful analysis of an image processing-based disease identification method is required for detecting, identifying, and treating pumpkin plant disease before it causes damage to the entire plant, Because diseases in ...

CLASSIFICATION OF HABESHA KEMIS USING EMBROIDERY DESIGN: A HYBRID FEATURE EXTRACTION APPROACH

KEBADU, MEKURIAW ADAMU (2020-06)

Our country Ethiopia has many cultures, from this Habesha Kemis is one of the clothing cultures that the women wear in most places and it is common in Amhara regional state. This Habesha Kemis seems the same but it has ...

Convolutional Neural Network for Wheat Leaf Disease Detection

Workneh, Alamrie (2021-10)

Wheat is the most important food security crop at the global level including Ethiopia. The local production of wheat in Ethiopia did not satisfy the domestic demand. The government of Ethiopia has imported millions of ...

CRIME ANALYSIS AND PREDICTION USING HYBRID DEEP LEARNING ALGORITHMS

Meron, Tamiru Shibiru (2020-08-10)

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 ...

CROSS-LINGUAL TEXTUAL ENTAILMENT RECOGNITION USING DEEP NEURAL NETWORK

WUBIE, BELAY ALEMU (2021-09)

Natural Language processing is dealing with natural language understandings and natural language generation which enable computers to understand and analyze human language. Cross-lingual Textual Entailment is one ...

DEEP LEARNING BASED AMHARIC GRAMMAR ERROR DETECTION

YARED, DESSALEGNE ALEMU (2020-08-29)

Nowadays, natural language processing became a hot research area, that is mainly focused on maximizing the capability of the computer to understand and communicate with human language or natural language. Therefore, to ...

DEEP NEURAL NETWORD BASED NATURAL LANGUAGE INFERENCE MODEL

TESFAYE, BEKELE (2020-08-24)

Addressing natural language understanding (NLU) problem is basically enabling the computer to replace human being in tasks that need semantical understanding. Natural language inference (NLI) can be used in paired document ...

DESIGN ENERGY EFFICIENT DATA AGGREGATION SCHEME FOR WIRELESS SENSOR NETWORK USING SPATIO-TEMPORAL CORRELATION

SOLOMON, AYALEW (2022-07-30)

Wireless sensor networks (WSN) are composed many of sensor nodes which are a infrastructure-less wireless networks to monitor physical or environmental conditions in order to cooperatively forward ...

DESIGNING A FRAMEWORK FOR VERSATILE LOCAL AUDIO SIGNAL DISTRIBUTION(VLASD)

GETIE, BALEW TAYE (2020-08)

Despite advances in audio technologies, people are highly concerned with an effect of audio sound disturbance and privacy issues related to an audio access. Coming up with a new technical direction to eliminate audio signal ...

DESIGNING A MACHINE LEARNING MODEL FOR CHILD BIRTH DELIVERY METHOD PREDICTION

AMSALU, FEKADU YENEALEM (2021-10-12)

Childbirth delivery method is an essential determinant for the health of mother and child. Choosing the wrong type of childbirth delivery causes different kinds of complications on the mother and new born child. ...

DESIGNING ADULT MORTALITY PREDICTION MODEL FROM ADMITTED PATIENT RECORDS USING DATA MINING TECHNIQUES

SHUMET, MOLLA WASSIE (2021-09-13)

Clinical data refers to health-related information that is associated with regular patient care. It provides information to health care professionals to improve the quality and safety of the care they provide to their ...

Designing Amharic Question Answering model for Healthcare Using Deep Learning Approach

Abreham, Alene Taye (2022-11)

The Question Answering System (QAS) is a system that allows users to ask natural language questions about a topic and obtain precise answers from a collection of documents. Many people utilize internet ...

DESIGNING AN AUTOMATIC SPEECH BASED DIALECT IDENTIFICATION USING MACHINE LEARNING APPROACHES

Mezmur, Bekalu (2022-08)

In Ethiopia more than 200 different dialects are spoken in 83 languages, including the Afan Oromo, Amharic and Tigrigna which have the largest ethnic and linguistic groups (Wimsatt & Wynn, 2011). ...

DESIGNING ANAPHORA RESOLUTION MODEL FOR AMHARIC DEMONSTRATIVE PRONOUNS

Amelework, Lulie (2021-09)

Demonstrative pronouns are key features in creating coherent texts in any language in general and in Amharic in particular. Their presence signifies something in the text. Nevertheless, no resolution model has been ...

Browsing Information Technology by Subject "INFORMATION TECHNOLOGY"

Browsing Information Technology by Subject "INFORMATION TECHNOLOGY"

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