Diagnosis‐Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine …

ME Alqaysi, AS Albahri… - International Journal of …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a complex neurobehavioral condition that begins in
childhood and continues throughout life, affecting communication and verbal and behavioral …

[HTML][HTML] Artificial intelligence and internet of things in screening and management of autism spectrum disorder

T Ghosh, MH Al Banna, MS Rahman, MS Kaiser… - Sustainable Cities and …, 2021 - Elsevier
Autism is a disability that obstructs the process of a person's development. Autistic
individuals find it extremely difficult to cope with the world's pace, can not communicate …

Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision‐Making (MCDM) …

ME Alqaysi, AS Albahri… - … and Mathematical Methods …, 2022 - Wiley Online Library
Background and Contexts. Autism spectrum disorder (ASD) is difficult to diagnose,
prompting researchers to increase their efforts to find the best diagnosis by introducing …

Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based …

ME Alqaysi, AS Albahri, RA Hamid - Neural Computing and Applications, 2024 - Springer
Autism spectrum disorder (ASD) presents challenges for accurate diagnosis, prompting
researchers to search for an optimal diagnostic process. Feature selection (FS) approaches …

A convolutional neural network model for early-stage detection of autism spectrum disorder

MF Rabbi, SMM Hasan, AI Champa… - … on information and …, 2021 - ieeexplore.ieee.org
Autism is a developmental handicap of children that gets worse as they age. An autistic child
has problems with interaction and communication, as well as limited behavior. If autistic …

A survey on automatic text summarization techniques

SHB Sri, SR Dutta - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
In recent years, there is a tremendous explosion in the amount of text data on the internet
and in the archives of news articles, scientific papers, legal documents and even in online …

Smart sales prediction of pharmaceutical products

SR Dutta, S Das, P Chatterjee - 2022 8th International …, 2022 - ieeexplore.ieee.org
Sales prediction is a predominant area in business intelligence. It plays a significant role in
supply chain management. Proper sales prediction is essential for pharma companies …

RETRACTED ARTICLE: An improved adaptive neuro fuzzy interference system for the detection of autism spectrum disorder

D Pavithra, AN Jayanthi - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Autism spectrum disorder (ASD) has become one of the most areas of research in present
decade. Previous research works have focused on varied approaches to handle Autism …

Detection and prevention from different attacks in VANET: A Survey

AS Kaurav, SR Dutta - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Routing attacks will have distressing effects over the network and bequest a significant
challenge once planning strong security mechanisms for vehicular communication. In this …

Requirements for the Application of Artificial Intelligence in Diagnosing Autism Spectrum Disorder: Specialists' Perception

REM El‐Ashram, OA Aldaghmi… - Journal of Disability …, 2024 - scienceopen.com
This study aimed to identify the requirements for the application of artificial intelligence (AI)
in diagnosing autism spectrum disorder (ASD) and the challenges facing its application, as …