Human bones serve as protective structures for vital organs, and fractures represent either complete
or partial breaks in these bones. This study aims to classify bone fractures to enhance surgical
diagnosis and treatment. ...
Stroke is a leading cause of morbidity and mortality worldwide, necessitating prompt and precise diagnosis to facilitate effective treatment. This thesis presents a comprehensive study on the identification and classification ...
Visual Question Answering (VQA) is a Vision-to-Text (V2T) task that integrates visual features of images with natural language questions to generate meaningful responses. Most existing research has focused on English, ...
Machine translation is a process of natural language translation automation to translate text from one natural language to another natural language. Machine translation is the fastest way to process a vast amount of data ...
Speech emotion identification plays a vital role in human-computer interaction and human-to-human communication systems, where accurately recognizing emotions from speech signals can enhance user experience and engagement. ...
Chronic kidney disease (CKD) has far-reaching impacts on individuals and healthcare systems. Without timely and accurate prediction of CKD severity, patients may face delayed interventions, suboptimal treatment plans, and ...
Coffee is a popular and widely consumed beverage that people worldwide enjoy. It has a long history and cultural significance, often part of daily routines. Coffee quality assessment is vital in the industry, influencing ...
Human bones serve as protective structures for vital organs, and fractures represent either complete
or partial breaks in these bones. This study aims to classify bone fractures to enhance surgical
diagnosis and treatment. ...
Stroke is a leading cause of morbidity and mortality worldwide, necessitating prompt and precise diagnosis to facilitate effective treatment. This thesis presents a comprehensive study on the identification and classification ...
Visual Question Answering (VQA) is a Vision-to-Text (V2T) task that integrates visual features of images with natural language questions to generate meaningful responses. Most existing research has focused on English, ...
Machine translation is a process of natural language translation automation to translate text from one natural language to another natural language. Machine translation is the fastest way to process a vast amount of data ...
Speech emotion identification plays a vital role in human-computer interaction and human-to-human communication systems, where accurately recognizing emotions from speech signals can enhance user experience and engagement. ...
Chronic kidney disease (CKD) has far-reaching impacts on individuals and healthcare systems. Without timely and accurate prediction of CKD severity, patients may face delayed interventions, suboptimal treatment plans, and ...
Coffee is a popular and widely consumed beverage that people worldwide enjoy. It has a long history and cultural significance, often part of daily routines. Coffee quality assessment is vital in the industry, influencing ...
Sign language is a visual-gestural language mainly used by hearing-impaired people to
communicate with each other. As in oral language, sign language is not universal; it varies
according to the country, or even according ...
Kidney stone is a crystal concretion in impacts human health and affects the kidney which is a prevalent health issue associated with our modern lifestyle. It is a growing urological condition that negatively 10% of the ...
The aim of this research is to develop predictive model for diabetes based on risk factors and
associated diseases using ensemble machine learning. The problem addressed in this research
is to enhance the public health ...
Geez language is an ancient Semitic language predominantly used for religious texts in
Ethiopia and Eritrea with unique semantical, syntactical, and morphological
characteristics. This study explores the development of ...
Seamless communication with WSN devices has facilitated the development of various Internet
of Thing (IoT) applications. The information communication technologies being developed for
this purpose are currently centered ...
Amharic language is the official language of Ethiopian and is spoken by millions of people within the country and outside the country. This is a more important language as it is the second most widely spoken Semitic language ...
Recommender systems are fundamental solutions to information overload on the web due to the availability of multitude information sources. This system filters and presents relevant information to customer and/ or online ...
Neural machine translation (NMT) has become the dominant approach in the field of machine translation, and is being utilized by most translation services providers. Long Short-Term Memory (LSTM) recurrent neural networks ...
Using conventional statistical models, AACPDC has trouble accurately predicting land use patterns in the city. These models frequently have trouble considering the intricate dynamics and spatial interactions that affect ...
The economic development of most developing countries including Ethiopia is extremely dependent on agricultural production. From those agricultural products pepper is a high-value vegetable and spice crop in Ethiopia for ...