Ethiopia is one of the most rapidly urbanizing countries in Africa and the challenges that come
with this, especially in the provision of adequate vacant urban lands for housing is a major
challenge that government faces. ...
One of the most common challenges facing road construction projects is road project
performance. The failure of any construction project is mainly related to the problems and
failure in time and quality performance. Three ...
Sentence completion is an unsolvable problem in the area of Natural Language Processing and
Information Retrieval field of study. These-days, alertly increasing the number of electronic
device users, who need to perform ...
The very nature of the banking business is so sensitive because more than 85% of their liability is
deposits from customers. Banks use these deposits to generate credit for their borrowers, which in
fact is a revenue ...
In Ethiopia road traffic accidents are becoming big issue that needs critical solution by
government body with traffic police office to save life of the citizens. The purpose of this study is
to explore the possibility ...
Agriculture is the basis of the Ethiopian economy. The country’s economic development depends,
in large part on sustainable improvements in agriculture However; its productivity is not kept
pace with population growth. ...
The conventional function of academic libraries is to collect, process, and store, disseminate and
utilize information to provide library service to the University community. This research focuses
on university academic ...
Knowledge has been known as a vital asset for sustaining competitive benefit. So,
organizations, such as those in intellectuals and business are turning to the use of the
intangible intellectual source of economy, which ...
Knowledge sharing is a backbone of any organization whether
public or private organizations. However, many organizations do not
actively practice knowledge sharing due to some barriers of its
implementation. The main ...
This study was conducted to investigate Afan Oromo Word Sense Disambiguation which
is a technique in the field of Natural Language Processing where the main task is to find
the appropriate sense in which ambiguous word ...
Chala Diriba; Million Meshesha; Debela Tesfaye(2016-10)
Malaria is a serious and fatal disease caused by a parasite that can infect a certain type of
mosquito which feeds on human blood. It is a public health problem in Ethiopia and a major cause of illness
and death. More ...
This paper presents the sense clustering of multi-sense words in Afan Oromo. The main idea of this work is to
cluster contexts which is providing a useful way to discover semantically related senses. The similar contexts ...
Knowledge is considered as a prime asset of organizations
because it is among the vital resources, especially knowledge intensive
organizations like, health sector. However, the practices and
implementation of knowledge ...
Natural language refers to human languages like Awngi and Amharic as opposed to artificial or
programming languages such as C++, Java, Pascal, etc
Natural Language processing (NLP) is the major field of study in computer ...
Traditional reference service does not reflect the great diversity of users, their information needs and seeking
behavior nor does it reflect changes in information sources and in the management and organization of ...
Knowledge plays a great role whenever there is
change and growths follow a complex field and competitive.
Agriculture in Ethiopia today is such field. Encouraging
knowledge in this field is a critical point in ...
This work presents a word prediction and completion for disable users. The idea behind this work is to open a
chance to interact with computer software and file editing for disable users in their mother tongue languages. ...
VANET is one of special kind of mobile ad-hoc network which is specifically designed for ITS
environment. VANET communication can be V2V or V2I communication. V2V communication
is a communication among moving vehicles ...
Automatic text categorization is a supervised learning task, defined as assigning category labels
to new documents based on likelihood suggested by a training set of labeled documents. The
world is widely changing hence, ...