Search Results - "Ayalew, Melese"
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1
Self-Supervised Scene-Debiasing for Video Representation Learning via Background Patching
Published in IEEE transactions on multimedia (2023)“…Self-supervised learning has considerably improved video representation learning by discovering supervisory signals automatically from unlabeled videos…”
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2
Audio-Visual Contrastive and Consistency Learning for Semi-Supervised Action Recognition
Published in IEEE transactions on multimedia (2024)“…Semi-supervised video learning is an increasingly popular approach for improving video understanding tasks by utilizing large-scale unlabeled videos along with…”
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3
Actor-Aware Self-Supervised Learning for Semi-Supervised Video Representation Learning
Published in IEEE transactions on circuits and systems for video technology (01-11-2023)“…Self-supervised contrastive learning has shown a significant improvement in performance for action recognition tasks by discovering useful signals from…”
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4
Inv-AlxVGGNets: Cervical Spine Disease Classification Using Concatenated Involutional Neural Networks With Residual Net
Published in IEEE access (2024)“…Cervical spine diseases, encompassing conditions like spondylolisthesis, disc degeneration, and cervical spinal stenosis, stand as significant contributors to…”
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5
Classification of Gastrointestinal Diseases Using Hybrid Recurrent Vision Transformers With Wavelet Transform
Published in Advances in multimedia (28-09-2024)“…Gastrointestinal (GI) diseases are a significant global health issue, causing millions of deaths annually. This study presents a novel method for classifying…”
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6
Magnitude of Cesarean Section Delivery and Its Associated Factors Among Mothers Who Gave Birth at Public Hospitals in Northern Ethiopia: Institution-Based Cross-Sectional Study
Published in Journal of multidisciplinary healthcare (01-01-2020)“…Cesarean section is one of the most common surgeries around the world performed whenever abnormal conditions complicate labour and vaginal delivery,…”
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7
CPD-CCNN: classification of pepper disease using a concatenation of convolutional neural network models
Published in Scientific reports (20-09-2023)“…Agricultural products are vital to the sustainability of the economies of developing countries. Most developing countries’ economies such as Ethiopia heavily…”
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Detection and classification of large bowel obstruction from X‐ray images using machine learning algorithms
Published in International journal of imaging systems and technology (01-01-2023)“…Large bowel obstruction (LBO) occurs when there is a blockage or twisting in the large bowel that prevents wastes and gas from passing through. If left…”
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9
View-Invariant Spatiotemporal Attentive Motion Planning and Control Network for Autonomous Vehicles
Published in Machines (Basel) (01-12-2022)“…Autonomous driving vehicles (ADVs) are sleeping giant intelligent machines that perceive their environment and make driving decisions. Most existing ADSs are…”
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10
Author Correction: CPD‑CCNN: classification of pepper disease using a concatenation of convolutional neural network models
Published in Scientific reports (06-03-2024)Get full text
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11
Lumbar disease classification using an Involutional neural based VGG Nets (INVGG)
Published in IEEE access (01-01-2024)“…Degenerative diseases of the lumbar spine, such as spondylolisthesis, disc degeneration, and lumbar spinal stenosis, are major contributors to global…”
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12
Smart Malaria Classification: A Novel Machine Learning Algorithms for Early Malaria Monitoring and Detecting Using IoT-Based Healthcare Environment
Published in Sensing and imaging (09-09-2024)“…Malaria, caused by the Plasmodium parasite and transmitted by female Anopheles mosquitoes, poses a significant risk to nearly half of the global population,…”
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13
Classification of pumpkin disease by using a hybrid approach
Published in Smart agricultural technology (01-03-2024)“…•In this study, a convolutional neural network was used to classify pumpkin leaf and fruit rot diseases using ResNet and LeNet hybrid method.•Our work differs…”
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14
Atelectasis detection in chest X-ray images using convolutional neural networks and transfer learning with anisotropic diffusion filter
Published in Informatics in medicine unlocked (2024)“…Atelectasis is the loss of volume caused by decreasing gas in a specific area of the lung. It occurs when the lung sacs (alveoli) do not fully inflate,…”
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15
Classification of mango disease using ensemble convolutional neural network
Published in Smart agricultural technology (01-08-2024)“…•In this study, a convolutional neural network was used to classify mango leaf and fruit rot diseases using GoogLeNet, and VGG16 ensemble convolutional neural…”
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16
Sesame Disease Detection Using a Deep Convolutional Neural Network
Published in Journal of electrical and electronics engineering (01-10-2022)“…- Sesame, along with coffee, is Ethiopia's most exported product and the country's main source of foreign exchange. It is mainly grown in the northern parts of…”
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17
Actor-Aware Contrastive Learning for Semi-Supervised Action Recognition
Published in 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI) (01-10-2022)“…The unique features of existing video datasets have led self-supervised contrastive learning to scene correlations and background biases, resulting in poor…”
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Conference Proceeding -
18
Evaluation of the evapotranspiration rate of lacustrine wetland macrophytes in Lake Tana, Ethiopia
Published in Ecohydrology & Hydrobiology (01-10-2023)Get full text
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19
Impact of physicochemical parameters on phytoplankton compositions and abundances in Selameko Manmade Reservoir, Debre Tabor, South Gondar, Ethiopia
Published in Applied water science (01-07-2017)“…Impact of physicochemical parameters on 2 compositions and abundances in Selameko Reservoir, Debre Tabor, South Gondar from August 2009 to May 2010 was…”
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Journal Article -
20
Magnitude of Cesarean Section Delivery and Its Associated Factors Among Mothers Who Gave Birth at Public Hospitals in Northern Ethiopia: Institution-Based Cross-Sectional Study
Published in Journal of multidisciplinary healthcare (30-11-2020)“…Background: Cesarean section is one of the most common surgeries around the world performed whenever abnormal conditions complicate labour and vaginal…”
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Journal Article