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Results 1-10 of 15 (Search time: 0.001 seconds).
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Issue Date
Title
Author(s)
2015
A SURVEY ON DEEP LEARNING TECHNIQUES APPLICATIONS AND CHALLENGES
V, Pream Sudha
;
R, Kowsalya
2022-09
RECURRRENT NEURAL NETWORK BASED MODEL FOR AUTISM SPECTRUM DISORDER PREDICTION USING CODON ENCODING
Sudha V, Pream
;
Vijaya, M S
2023-01-01
ARTIFICIAL INTELLIGENT MODELS FOR AUTOMATIC DIAGNOSIS OF FOETAL CARDIAC ANOMALIES: A META-ANALYSIS
Divya M.O
;
Vijaya M.S
2023-03-28
OPTIMIZING PRE-PROCESSING FOR FOETAL CARDIAC ULTRA SOUND IMAGE CLASSIFICATION
Divya M.O
;
Vijaya M.S
2023-01-23
MULTI-CLASS CLASSIFICATION OF INSECTS USING DEEP NEURAL NETWORKS
Santhiya M
;
Priyadharshini M
;
Agshalal Sheeba J
;
Karpagavalli S
2022-03-26
DEEP NEURAL NETWORK OPTIMIZATION FOR SKIN DISEASE CLASSIFICATION FORECAST ANALYSIS
Kalaivani A
;
Karpagavalli S
2022-01-24
DEEP POSITIONAL ATTENTION-BASED HIERARCHICAL BIDIRECTIONAL RNN WITH CNNBASED VIDEO DESCRIPTORS FOR HUMAN ACTION RECOGNITION
Srilakshmi, Nagarathinam
;
Radha, Narayanan
2023
ARTIFICIAL INTELLIGENT MODELS FOR AUTOMATIC DIAGNOSIS OF FOETAL CARDIAC ANOMALIES: A META-ANALYSIS
Divya, M O
;
Vijaya, M S
2021-08-12
A REVIEW ON CLASSIFICATION AND RETRIEVAL OF BIOMEDICAL IMAGES USING ARTIFICIAL INTELLIGENCE
Greeshma, K V
;
Viji Gripsy, J
2020-08-08
DEEP NEURAL NETWORK FOR EVALUATING WEB CONTENT CREDIBILITY USING KERAS SEQUENTIAL MODEL
Manjula, R
;
Vijaya, M S
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Author
7
Vijaya, M S
3
Divya, M O
2
Divya M.O
2
Karpagavalli S
2
Radha, Narayanan
2
Srilakshmi, Nagarathinam
2
Vijaya M.S
1
Agshalal Sheeba J
1
Greeshma, K V
1
Kalaivani A
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Subject
5
Foetal cardiac anomaly
4
Machine learning
3
Congenital heart disease
3
Early diagnosis
3
Image processing
3
Ultrasound images
2
AlexNet
2
Binary classification
2
CNN
2
Feature aggregation
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Date issued
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2023
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2020
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2015
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