549 research outputs found
Machine Learning Based Model for Prediction of Autism Spectrum Disorder
No full textAbstract: Autism spectrum disorder is a neurodevelopmental disorder that affects a person's interaction, communication and learning skills. Although diagnosis of autism can be done at any age, its symptoms generally appear in the first two years of life and develop through time. Autism patients face different types of challenges such as difficulties with concentration, learning disabilities, mental health problems such as anxiety, depression, motor difficulties, sensory problems, and many others. Diagnosis of autism requires significant amount of time and cost. Earlier detection of autism can come to a great help by prescribing patients with proper medication at an early stage. It can prevent the patient's condition from deteriorating further and would help to reduce long term costs associated with delayed diagnosis. Thus, an efficient, accurate and easy screening test tool is very much required which would predict autism traits in an individual. The main idea behind this project is to detect autism spectrum disorder in an individual (male/female). This project is implemented by making use of a Machine Learning model using parameters such as an individual's age, gender, ethnicity, Autism Quotient Tool. The detection derived from this project will help an individual to get required diagnosis in time to prevent further complications of developing Alzheimer's disease.
Keywords: machine learning, autism spectrum disorder, parameters, autism quotient tool.
Title: Machine Learning Based Model for Prediction of Autism Spectrum Disorder
Author: Sandhya A Kulkarni, Dhanush Vasudevaraju, C Ramesh Chandra, Dinesh M, C Sai Ranganath
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 10, Issue 4, October 2022 - December 2022
Page No: 46-52
Research Publish Journals
Website: www.researchpublish.com
Published Date: 13-December-2022
DOI: https://doi.org/10.5281/zenodo.7432991
Paper Download Link (Source)
https://www.researchpublish.com/papers/machine-learning-based-model-for-prediction-of-autism-spectrum-disorderInternational Journal of Computer Science and Information Technology Research, ISSN 2348-1196 (print), ISSN 2348-120X (online), Research Publish Journals, Website: www.researchpublish.co
Removal of copper and cadmium from the aqueous solutions by activated carbon derived from Ceiba pentandra hulls
No full textActivated carbon prepared from Ceiba pentandra hulls, an agricultural solid waste by-product, for the removal of copper and cadmium from
aqueous solutions has been studied. Parameters such as equilibrium time, effect of pH and adsorbent dose on removal were studied. The adsorbent
exhibited good sorption potential for copper and cadmium at pH 6.0. C O and S O functional groups present on the carbon surface were the
adsorption sites to remove metal ions from solution. The experimental data was analysed by both Freundlich and Langmuir isotherm models. The
maximum adsorption capacity of copper and cadmium was calculated from Langmuir isotherm and found to be 20.8 and 19.5 mg/g, respectively.
The sorption kinetics of the copper and cadmium have been analysed by Lagergren pseudo-first-order and pseudo-second-order kinetic models.
The desorption studies were carried out using dilute hydrochloric acid solution and the effect of HCl concentration on desorption was also studied.
Maximum desorption of 90% for copper and 88% for cadmium occurred with 0.2M HCl
Bibliographics for the 983 eprints in the live archives of E-LIS : trends and status report up to 7th July 2004, based on author-self-archiving metadata
No full textThe priority for ideas and philosophy related to "Network Theory" have been traced back and documented by Braun(2004),and credit goes to Karinthy(1929).The IT has empowered to realise it, as the most practical phenomena and it is no more a humour. The OAI (Open Archives Initiatives)and ACIS (Academic Contributor Information System)are progressive in the direction ,which may lead to realise the "Collective Genius" at global level. Focus of present study is on Author-Self-Archiving (A-S-A)Metadata of the 983 Eprints in the Live Archives of the E-LIS (EPrints of Library and Information Science),which were approved till 7th July 2004.The A-S-A Metadata was used for librametric analysis. Self-explanatory bibliographics are illustrated.The highlights include: Conference papers (34%); highest approval, June 2004 (28%); published archives (76%);not refereed (52%); not in public domain (60%); highest self-archiving-author (De Robbio, Antonella).The Nos. of EPrints having single JITA domain specifications were: Theoretical and general aspects of libraries and information(27); Information use and sociology of information(80);Users,literacy and reading(13);Libraries as physical collections(30);Publishing and legal issues(57);Management(13);Industry, profession and education(36);Information sources, supports, channels(113) ; Information treatment for information services, Information functions and techniques (101); Technical services libraries, archives and museums(25); Housing technologies(1); Information technology and library technology(92); and Inter-domainery (395) i.e. having specifications of two or more than two JITA classes
South Asian Integration Prospects and Lessons from East Asia
No full textIn the context of the low levels of regional cooperation among South Asian countries when compared with the successful results from cooperation in East Asia (consisting of South East and East Asian countries), the objective of this paper is first to assess the prospects of cooperation among South Asian economies and then to draw lessons from East Asian regional experiments for South Asian regionalism for the betterment of these prospects. The main argument of the paper is that South Asia should adopt a twin-track approach : better integration within itself and better integration with rest of the world particularly East Asia. Both tracks would complement and supplement each other ensuring a greater chance of success.South Asian integration prospects, Lessons from East Asian regionalism, Open regionalism, Asian development
Informetrics on M. N. Srinivas
No full textM. N. Srinivas, the well known sociologist is widely recognised as architect of modern Indian sociology and social anthropology. His publications have been analysed by year, domain, authorship pattern, channels of communication used. Keywords, etc. The results indicate that the papers published by him are of a nature that qualify him to be a 'role model' for the younger generations to emulate.
By the end of 1995, Srinivas had to his credit 144 papers which, included 33 broad papers in sociology and anthropology; 18 papers in social change; 28 papers in village studies; 12 papers on religion; 17 papers on caste and 36 papers of general popular interest. The periods 1958-61 and 1974-77, when Srinivas was 38-41 and 58-61 years old. were his most productive periods with highest publication activity
South Asian Integration Prospects and Lessons from East Asia
No full textIn the context of the low levels of regional cooperation among South Asian countries when compared with the successful results from cooperation in East Asia (consisting of South East and East Asian countries), the objective of this paper is first to assess the prospects of cooperation among South Asian economies and then to draw lessons from East Asian regional experiments for South Asian regionalism for the betterment of these prospects. The main argument of the paper is that South Asia should adopt a twin-track approach: better integration within itself and better integration with rest of the world particularly East Asia. Both tracks would complement and supplement each other ensuring a greater chance of success.South Asian integration prospects, Lessons from East Asian regionalism, Open regionalism, Asian development
Synthesis, Spectral Studies and Therapeutic Activity of Heterocyclic Compounds
No full textNot availabl
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