… man-eating incidents in Tanzania's rural areas between 1990 and … ) for feature selection,
and SVM classifier for classifying the … purposes, we also provide the conventional CNN method …

… , the two approaches comparative analysis was slight at individual … [25] argues that the CNN
has the ability to learn complex … use the soft margin SVM through introducing penalties to the …

… (CNN), named cross-modal change detection network (CMCDNet), was also proposed for
flood detection using … To ensure semantic consistency of multi-modal interpretation, we forced …

… performance metrics, and proposed framework results and interpretations. In Section 3, the
proposed model’s comparative analysis … For ease of understanding and interpretation, this …

… The SVM method achieved better performance than the K-… on Arabic word classification
using CNN. Mel-spectrogram is a … regions (8) of Tanzania belonged to different age groups (24–…

… individual identification are kNN, SVM, random forest, and … using CNN architecture was
implemented for individual recognition of lemurs, golden monkeys, and chimpanzees. A study …

… on convolutional neural networks (CNN) is used to predict … poultry accurately and quickly
using SVM. Algorithms for digital … 2021 in Tanzania’s Arusha and Kilimanjaro areas, using the …

… While the original paper that compiled SUSTAINBENCH’s field delineation dataset achieved
a Dice score of 0.61 with a standard U-Net [9], we applied a new attention-based CNN …

… First, I applied CNN to classify the images and got 65.66% accuracy.Then I applied SVM
with Normal features, … In Tanzania, cows are given the roots to encourage milk output. …

… this study intends to complement the advantages of UAV-SfM technology and the CNN method,
and use … This professor have been working on translation and revision of the language of …