Armada
发表于 2025-3-28 17:51:36
Computer assistance to strategiesng one of the causes of hypertensive blood pressure, it is needed to be diagnosed at an early stage. This paper explains a method devised using deep learning to classify arteriovenous nicking using the retinal images of the patient. The dataset provided by the Structured Analysis of the Retina proje
Reverie
发表于 2025-3-28 19:32:30
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ETCH
发表于 2025-3-29 01:54:48
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Lice692
发表于 2025-3-29 06:31:42
P. Humphreys,K. L. Mak,R. McIvor,W. McAleertification is achieved by comparing distance measures of new test cases with existing cases within the base. The patterns pertaining to the images are captured by fusing some standard global features with some indigenously developed local feature sets. Outlier values in both these sets are handled t
护航舰
发表于 2025-3-29 11:04:16
Computer assistance to strategies as e-commerce sites, shopping sites like Amazon, Netflix, research journals, mobile-based platforms and TV-based platforms. Collaborative Filtering (CF) is the most popular widely used tool on the Internet for recommender systems to search for new items that fit users’ interest by finding similar u
glomeruli
发表于 2025-3-29 14:21:29
P. Humphreys,K. L. Mak,R. McIvor,W. McAleerconsidering the various features like linearity, Circularity and dimensionality etc. This model is an intelligent one by employing various nature-inspired algorithms and classifiers like ANN (Artificial Neural Network), KNN (Kth nearest neighbor), SVM (Support-Vector-Machine) and LSSVM (Least-Square
Carcinogenesis
发表于 2025-3-29 19:19:25
https://doi.org/10.1007/978-3-8349-9254-3depends upon the efficiency with which it performs a given task with shortest possible time. This research presents a proposal, to optimize the path for a particular task by adopting Particle Swarm Optimization (PSO) algorithm. For the analysis of optimal path, total ten numbers of objects have been
Lime石灰
发表于 2025-3-29 23:35:48
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发表于 2025-3-30 00:41:37
978-981-13-8675-6Springer Nature Singapore Pte Ltd. 2020
Estrogen
发表于 2025-3-30 05:17:24
2194-5357 knesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields..978-981-13-8675-6978-981-13-8676-3Series ISSN 2194-5357 Series E-ISSN 2194-5365