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Retracted: Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms
Computational Intelligence and Neuroscience
|October 13, 2023
Summary
This article has been retracted. The retraction notice does not provide specific reasons but indicates the content is no longer considered valid for citation or reference.
Area of Science:
- Scientific publishing ethics
- Retraction notices
- Scholarly communication
Context:
- Article DOI: 10.1155/2022/8709145
- Formal retraction of published research
- Maintaining integrity of scientific record
Purpose:
- To formally retract the article identified by DOI: 10.1155/2022/8709145
- To inform the scientific community of the article's invalid status
- To uphold standards in scholarly publishing
Summary:
- The article with DOI 10.1155/2022/8709145 has been officially retracted.
- No specific details regarding the reasons for retraction are provided in the notice.
- This action signifies that the content of the article is no longer considered valid.
Impact:
- Removes the retracted article from the accessible scientific literature.
- Prevents the dissemination of potentially flawed or invalid research findings.
- Reinforces the importance of rigorous peer review and post-publication evaluation.
Related Concept Videos
01:19Autism Spectrum Disorder
117
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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01:26Classification of Systems-I
192
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
192