Titlebook: Information and Communication Technology for Development for Africa; Second International Fisseha Mekuria,Ethiopia Nigussie,Tesfa Tegegne C

entice

LUDE

Abera Reesom Bisrat,Beneyam Berehanu Haile,Edward Mutafungwa,Jyri Hämäläinen

Pericarditis

闷热

A Novel Method of Pre-processing Using Dental X-Ray Images by Adaptive Morpho Histo Wavelet Denoisinasking, Gaussian low pass and high pass methods, high pass adaptation, morphological enhancement, contrast enhancement and wavelet de-noising. AWHM is giving better result than all the other methods. The existing method and novel method is compared with various non-reference parameters and the refer

Mortar

旅行路线

A Genetic Algorithm-Based Approach for Test Case Prioritizatione. For the experiment three-benchmark program from the software artifact infrastructure repository is selected. From the experiment, it was found that the Average Percentage of Fault Detection (APFD) of the GA technique gives a better result than random technique. Also, an experiment was conducted t

Projection

Classical Machine Learning Algorithms and Shallower Convolutional Neural Networks Towards Computatiofor classification, CNNs learn to recognize objects end to end, implicitly without the need for feature engineering. Many machine learning algorithms such as K-Nearest Neighbors, Random Forest, Gradient Boosting, CNNs etc. are compared in this contribution. From our experimental observation, some of

陈列

Knowledge Based Decision Support System for Detecting and Diagnosis of Acute Abdomen Using Hybrid Apfollowing DSR methodology. The conceptual model of the knowledge-based system used a decision tree structure which is easy to understand and interpret the procedures involved in patient diagnoses. Based on the conceptual model, the prototype is developed with SWI prolog and java software tools. Beyo

Analogy

Modern CNNs for IoT Based Farmsld. First, for end users of agricultural deep learning tools, our benchmarking finding can serve as a guide to selecting appropriate architecture to use. Second, for agricultural software developers of deep learning tools, our in-depth analysis explains the state-of-the-art CNN complexities and poin

集中营

A Collaborative Approach to Build a KBS for Crop Selection: Combining Experts Knowledge and Machine ectly 82.6087% among 9867 instances. The designed collaborative approach of experts’ knowledge with the knowledge discovery for agricultural crop selections based on the domain expert, farmers and agriculture extension evaluation 95.23%, 82.2% and 88.5% overall performance respectively.