Titlebook: Deep Sciences for Computing and Communications; Second International Annie Uthra R.,Kottilingam Kottursamy,Vimaladevi M Conference proceedi

arthrodesis

Development of a Pothole Detection System Using Deep Learning Techniques and Depth Estimationon a dataset of road images, and we demonstrate its superior performance compared to existing pothole detection techniques. Our approach offers a time-efficient and cost-effective solution to detecting and estimating the depth of potholes using deep learning techniques.

抗原

Chronic Kidney Disease (CKD) Detection Analysis Using Machine Learningnd its stages. This paper provides an investigation of various algorithms and methods used in detection of Chronic Kidney Disease and its stages. This survey also identifies research gaps and suggests future research directions.

Thymus

Aufbau und Struktur einer IK-Abteilung,of images deployed for the training and evaluation of the model. The validation part was also made with 25% of the dataset, 70% for training, and 5% for model testing. The designed model in this study provided 81.25% accuracy.

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,Die Roadmap zur Führung von Veränderung,rting enormous datasets with high prediction accuracy and other metrics. The primary goal of this paper is to highlight all previous studies of machine learning algorithms that are being used for breast cancer prediction and attempt to acquire a solid understanding of deep learning.

GILD

Bph773

Machine Learning and Deep Learning Algorithms for Breast Cancer Predictionrting enormous datasets with high prediction accuracy and other metrics. The primary goal of this paper is to highlight all previous studies of machine learning algorithms that are being used for breast cancer prediction and attempt to acquire a solid understanding of deep learning.

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