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Browsing Computer Science by Subject "INFORMATION TECHNOLOGY"

Now showing items 1-13 of 13

AGRICULTURAL DOMAIN-SPECIFIC JARGON WORDS IDENTIFICATION IN AMHARIC TEXT

MELAKU, LAKE TEGEGNE (2021-06)

Domain-specific jargon words are lists of words used in formal communication of a particular profession between experts of the same field; however, it is difficult to understand by non-experts and society. Experts of an ...
BRAIN ABSCESS DETECTION IN CT SCAN IMAGES USING MACHINE LEARNING METHODS

ALEMITU, MERSHA (2021-07)

The brain is the most important organ in our body, and it regulates all functions in the body, such as thoughts, memory, speech, and movement of arms and legs. However, different diseases affect the human brain. Brain ...
DESIGN EVENT EXTRACTION MODEL FROM AMHARIC TEXTS USING DEEP LEARNING APPROACH

AMOGNE, ANDUALEM AYALEW (2021-07)

Every day, a massive amount of information is reported through various media such as television, radio, social media, and web blogs in the form of video, audio, or text. Finding relevant events has become tedious, boring, ...
Designing phrase-level visual speech recognition for Amharic language using Deep learning approach

Dessalew, Getnet (2021-07)

Visual speech recognition or lip reading is a process of understanding the speech of a speaker by looking at the movement of the mouth of the speaker. Human beings are seen struggling to understand what the speaker is ...
DETECTION AND CLASSIFICATION OF LARGE BOWEL OBSTRUCTION FROM X-RAY IMAGES USING MACHINE LEARNING ALGORITHM

YIBELTAL, TAMYALEW (2021-07)

Large bowel obstruction occurs when there is a blockage or twisting in the large bowel that prevents wastes and gas from passing through. The blockage cuts off blood supply to the bowel and a part of the bowel dies. And ...
Invasive Cervical Cancer Stages Identification Using Deep Spiking Neural Networks (DSNNs)

Helen, Abeje (2021-07-22)

Spiking Neural Networks shade their light on the top of deep neural networks due to their sparse spikes derived energy efficiency. Though tradeoffs among performance accuracy and energy efficiency of deep SNNs to real world ...
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Mekonnen, Gidey (2021-06)

Following the Open Government Data (OGD) initiatives, governments and agencies around the world have been making raw data freely available for public access via their OGD portals and websites. However, despite the variety ...
MAIZE SEED VARIETY IDENTIFICATION USING DEEP LEARNING APPROACH

MOGES, TESFA GEBEYAW (2021-07)

Maize is Ethiopian most dominant cereal crops both in terms of area coverage and level of production. There are different varieties of maize in Ethiopia. Maize varieties are classified based on different morphological ...
MANGO DISEASE DETECTION USING MACHINE LEARNING TECHNIQUE

SHWAGA, ABAY (2021-06)

Mango (Mangifera indica) is of great significant fruit crop which grows in different agro-ecologies in the world. Mangoes are good sources of vitamins and minerals. However, nowadays its productivity is very limited since ...
MARIJUANA DRUG DETECTION AND CLASSIFICATION USING MACHINE LEARNING APPROACH

Adugna, Assefa Woleli (2021-07)

This study investigated to detect and classified Marijuana drug (mind alert substance) from other bush and crop plants. Data were collected from farm lands and individual compounds. It’s properly segregated and all dataset ...
SAINT YARED KUM ZEMA CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK

BIRKU, LITGEB ASCHENEK (2021-07)

Machine learning approaches are applied in different fields of disciplines. The approach used in each area is implemented with a supervised or unsupervised learning method. The new and rapidly growing research area has ...
SELECTION OF ARCHITECTURAL PATTERN BASED ON TACTICS USING MACHINE LEARNING APPROACH

MEBRATU, AYCHEW (2021-07)

Software development has several stages to be followed by developers, starting from planning to deployment and maintenance. From those stages, the design phase, which serves as a blueprint of the system to be built, needs ...
SESAME DISEASE IDENTIFICATION USING IMAGE PROCESSING AND DEEP LEARNING APPROACHES

Haimanot, Tesfaye Solomon (2021-07-19)

Sesame is one of the most important high value edible oil crops in Ethiopia with considerably high contribution to foreign currency and wide applications. The major constraints in sesame productions are diseases and ...

Browsing Computer Science by Subject "INFORMATION TECHNOLOGY"

Browsing Computer Science by Subject "INFORMATION TECHNOLOGY"

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