Results 1 to 10 of about 39,255 (224)
Fastai and Convolutional Neural Network Based Land Cover Classification [PDF]
E3S Web of Conferences, 2023 The primary objective of this research is to create a Deep Learning model that can accurately classify satellite images into predefined categories.
Surana Priya +2 more
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Apple Phenological Period Identification in Natural Environment Based on Improved ResNet50 Model
智慧农业, 2023 ObjectiveAiming at the problems of low accuracy and incomplete coverage of image recognition of phenological period of apple in natural environment by traditional methods, an improved ResNet50 model was proposed for phenological period recognition of ...
LIU Yongbo +4 more
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DOMATES HASTALIĞI TAHMINI IÇIN GERÇEK ZAMANLI UYGULAMA
Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 2022 Hem ülkesel hem de dünyanın önemli bir besin kaynağı olan domates bitkisinin hastalıklarının önceden belirlenmesi önemlidir. Bu çalışmada literatürdeki standart veri setlerine ilaveten toplanan saha verileri kullanarak yaygın olan alternaria ve mildiyö ...
Kemal Özkan +5 more
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Pneumonia detection in chest X-ray images using compound scaled deep learning model
Automatika, 2021 Pneumonia is the leading cause of death worldwide for children under 5 years of age. For pneumonia diagnosis, chest X-rays are examined by trained radiologists. However, this process is tedious and time-consuming.
Mohammad Farukh Hashmi +3 more
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The automatic focus segmentation of multi-focus image fusion [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022 Multi-focus image fusion is a method of increasing the image quality and preventing image redundancy. It is utilized in many fields such as medical diagnostic, surveillance, and remote sensing. There are various algorithms available nowadays.
K. Hawari, Ismail Ismail
doaj +1 more source
CNN-RNN Hybrid Model for Diagnosis of COVID-19 on X-Ray Imagery
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 2023 This research aims to implement deep learning in determining Covid-19 or normal cases using X-Ray imagery. The method used is CNN (ResNet50) and RNN (LSTM).
Novem Uly, Hendry Hendry, Ade Iriani
doaj +1 more source
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem, 2023 Sebagai negara tropis, produksi teh hitam di Indonesia sangat besar. Berdasarkan kualitasnya, teh hitam di Indonesia telah diekspor ke beberapa negara.
Aprilia Nur Komariyah +5 more
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Integrating multiclass classifiers for enhanced acute lymphoblast leukemia detection: A comparative study [PDF]
Yugoslav Journal of Operations ResearchAcute lymphoblastic leukemia (ALL) is a blood and bone marrow malignancy that is characterized by the growth of many immature lymphocytes known as lymphoblasts.
Nayak Roopashree +2 more
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Deteksi Spoofing Wajah Menggunakan Faster R-CNN dengan Arsitektur Resnet50 pada Video
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2020 Deteksi wajah merupakan proses mendasar dan penting dalam bidang pengenalan wajah yang sudah diteliti secara luas. Tujuan deteksi wajah adalah menentukan keberadaan dan menandai posisi wajah, baik pada gambar maupun video, yang disebut dengan bounding ...
Sunario Megawan, Wulan Sri Lestari
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Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars [PDF]
, 2018 Event cameras are bio-inspired vision sensors that naturally capture the dynamics of a scene, filtering out redundant information. This paper presents a deep neural network approach that unlocks the potential of event cameras on a challenging motion ...
Gallego, Guillermo +4 more
core +1 more source