Papers by Rebeccah Ndungi
Research Square (Research Square), Jan 19, 2023
World Health Organization publications disclose that breast cancer is one of the most common dise... more World Health Organization publications disclose that breast cancer is one of the most common diseases amongst the women, and that it has a high death rate. Its prevalence is growing in developing nations, where the vast majority of cases are discovered late in the disease's development. Preventing this malignancy may be accomplished with safeguards and frequent examinations. Aside from that, early detection of the illness may be bene cial in terms of battling the condition. This deep learning algorithm is a strong approach for identifying features about the breast mass that are often not visible to the human eye through deep learning analysis of the mammogram. The algorithm will then be evaluated through various metrics to validate on its accuracy. Deep learning is a technology that will be used in this project. The algorithm intends to help cancer rm research centres in Kenya and globally in quicker grouping, identi cation and aid doctors in quicker diagnosis and research.
World Health Organization publications disclose that breast cancer is one of the most common dise... more World Health Organization publications disclose that breast cancer is one of the most common diseases amongst the women, and that it has a high death rate. Its prevalence is growing in developing nations, where the vast majority of cases are discovered late in the disease's development. Preventing this malignancy may be accomplished with safeguards and frequent examinations. Aside from that, early detection of the illness may be beneficial in terms of battling the condition. This deep learning algorithm is a strong approach for identifying features about the breast mass that are often not visible to the human eye through deep learning analysis of the mammogram. The algorithm will then be evaluated through various metrics to validate on its accuracy. Deep learning is a technology that will be used in this project. The algorithm intends to help cancer firm research centres in Kenya and globally in quicker grouping, identification and aid doctors in quicker diagnosis and research.
Indonesian Journal of Electrical Engineering and Computer Science
Artificial intelligence technology (AI) is an array of computer technologies that provide machine... more Artificial intelligence technology (AI) is an array of computer technologies that provide machines with human-like abilities in perception, action, and cognition. It can mimic human intellect in a broad variety of situations thanks to its advanced processing of information and mega-thinking procedures and powers. AI's power to mimic the intellect of humans means it will disrupt or significantly affect practically every major industry, including but not limited to manufacturing, healthcare, agriculture, and logistics. AI helps several industries move forward. Developed Western nations and leading digital titans like Google and Facebook have invested significantly in AI, utilizing its human skills in various vital societal sectors. Regrettably, most poor countries, particularly those in the sub-Saharan African region, do not have the necessary administration, learning, data reserves, and legislation to support the adoption and implementation of AI. Nevertheless, certain countries ...
International Journal on Informatics for Development: IJID, Feb 5, 2022
The barrier between the hearing and the deaf communities in Kenya is a major challenge leading to... more The barrier between the hearing and the deaf communities in Kenya is a major challenge leading to a major gap in the communication sector where the deaf community is left out leading to inequality. The study used primary and secondary data sources to obtain information about this problem, which included online books, articles, conference materials, research reports, and journals on sign language and hand gesture recognition systems. To tackle the problem, CNN was used. Naturally captured hand gesture images were converted into grayscale and used to train a classification model that is able to identify the English alphabets from A-Z. Then identified letters are used to construct sentences. This will be the first step into breaking the communication barrier and the inequality. A sign language recognition model will assist in bridging the exchange of information between the deaf and hearing people in Kenya. The model was trained and tested on various matrices where we achieved an accuracy score of a 99% value when run on epoch of 10, the log loss metric returning a value of 0 meaning that it predicts the actual hand gesture images. The AUC and ROC curves achieved a 0.99 value which is excellent.
Indonesian Journal of Computer Science
This article takes a look at the progress and advancement of automated reasoning and its applica... more This article takes a look at the progress and advancement of automated reasoning and its applications in the 21st century. Reasoning refers to the method of reaching logical conclusions. The construction of computing systems that automate this process over some knowledge bases is the focus of automatic reasoning. Automated Reasoning is frequently regarded as a subfield of machine learning. It is also studied in theoretical computer science and philosophy. Some of the applications of automated reasoning include but not limited to Tableau-style systems, Automatic Theorem Proving, Superposition and Saturation, benchmarks and Classical First-Order Logic. The development of formal led to the development of artificial intelligence, which was essential in the development of artificial intelligence for reasoning.
IJID (International Journal on Informatics for Development)
The barrier between the hearing and the deaf communities in Kenya is a major challenge leading to... more The barrier between the hearing and the deaf communities in Kenya is a major challenge leading to a major gap in the communication sector where the deaf community is left out leading to inequality. The study used primary and secondary data sources to obtain information about this problem, which included online books, articles, conference materials, research reports, and journals on sign language and hand gesture recognition systems. To tackle the problem, CNN was used. Naturally captured hand gesture images were converted into grayscale and used to train a classification model that is able to identify the English alphabets from A-Z. Then identified letters are used to construct sentences. This will be the first step into breaking the communication barrier and the inequality. A sign language recognition model will assist in bridging the exchange of information between the deaf and hearing people in Kenya. The model was trained and tested on various matrices where we achieved an acc...
A Sign Language Prediction Model using Convolution Neural Network, 2021
The barrier between the hearing and the deaf communities in Kenya is a major challenge leading to... more The barrier between the hearing and the deaf communities in Kenya is a major challenge leading to a major gap in the communication sector where the deaf community is left out leading to inequality. The study used primary and secondary data sources to obtain information about this problem, which included online books, articles, conference materials, research reports, and journals on sign language and hand gesture recognition systems. To tackle the problem, CNN was used. Naturally captured hand gesture images were converted into grayscale and used to train a classification model that is able to identify the English alphabets from A-Z. Then identified letters are used to construct sentences. This will be the first step into breaking the communication barrier and the inequality. A sign language recognition model will assist in bridging the exchange of information between the deaf and hearing people in Kenya. The model was trained and tested on various matrices where we achieved an accuracy score of a 99% value when run on epoch of 10, the log loss metric returning a value of 0 meaning that it predicts the actual hand gesture images. The AUC and ROC curves achieved a 0.99 value which is excellent.
American Journal of Computing and Engineering, 2021
The study, titled "The Future of Fog Computing in Kenya," discusses fog computing, comp... more The study, titled "The Future of Fog Computing in Kenya," discusses fog computing, computing evolution, and the Internet of Things. It has layers ideal for fog networks. The architecture depicts the functions performed by each layer, the protocols, devices, and their functionality at various layers. Fog computing extends cloud computing and helps mitigate its difficulties. The study also goes forth to explain the various sectors where fog-computing technology is applied and the various merits associated with it. In order to improve present technology, this article will greatly help researchers in Kenya and beyond by giving ideas and suggestions as a way to focus on the COUNTRY’S VISION 2030.
Uploads
Papers by Rebeccah Ndungi