1.

Record Nr.

UNINA9910566483203321

Autore

Butler Merlin G

Titolo

Identification and Characterization of Genetic Components in Autism Spectrum Disorders 2019

Pubbl/distr/stampa

Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022

Descrizione fisica

1 online resource (256 p.)

Soggetti

Biology, life sciences

Genetics (non-medical)

Research & information: general

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

The Identification of the Genetic Components of Autism Spectrum Disorders 2019 will serve as a resource for laboratory and clinical scientists as well as translational-based researchers, primary healthcare providers or physicians, psychologists/psychiatrists, neurologists, developmental pediatricians, clinical geneticists, and other healthcare providers, teachers, caregivers and students involved in autism spectrum disorders (ASD) with the goal to translate information directly to the clinic, education and home setting. Other professionals, students and families might find this textbook of value based on better awareness, causes and understanding of genetic components leading to autism and open avenues for treatment. Genetics play a role with up to 90% of autism, with over 800 currently recognized genes contributing to causes, clinical presentation, treatment, and counseling of family members. This textbook includes 13 chapters divided into three sections (clinical, genetics, other) written by experts in the field dedicated to research and clinical care, description, treatment and generating relevant reviews for ASD and related disorders impacting gene expression, profiling, and pathways. Identification of potential risk factors will be discussed, including obesity, microbiota, malignancy, and the immune system, as well as



their direct or indirect contribution to ASD treatment and causation.

2.

Record Nr.

UNINA9910728949603321

Autore

Mishra Madhusudhan

Titolo

Applications of Computational Intelligence in Management & Mathematics : 8th ICCM, Nirjuli, AP, India, July 29–30, 2022 / / edited by Madhusudhan Mishra, Nishtha Kesswani, Imene Brigui

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023

ISBN

3-031-25194-6

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (354 pages)

Collana

Springer Proceedings in Mathematics & Statistics, , 2194-1017 ; ; 417

Altri autori (Persone)

KesswaniNishtha

BriguiImene

Disciplina

006.3

Soggetti

Mathematical statistics

Neural networks (Computer science)

Computational intelligence

Mathematical Statistics

Mathematical Models of Cognitive Processes and Neural Networks

Computational Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Development of Energy Efficient Routing Protocol for Lifespan Optimization in Wireless Sensor Networks (EERP) (A. Yadav) -- Sentiment Analysis using Social Media and Product Reviews (S. Kumar) -- A Stable Model for Learning and Memorization in Over-Parameterized Networks (S. Kumar) -- Analysis of Depth Sensing & Lane Detection Algorithms for Advanced Driver Assistance Systems (S. Mondal) -- Implementation Of E-Commerce Application with Analytics (Pooja M R) -- A Survey on the latest intrusions & their detection systems in IoT-based networks (S. Majumder) -- Design and analysis of Z-Source Inverter with Maximum Constant Boost Control Method (S. Sonar) -- SPV/Wind Energy-based Hybrid Grid-Connected System with Optimum Power Flow Operation (S. Rauth) -- A Study on Benchmarks



for Ectopic Pregnancy Classification using Deep Learning Based on Risk Criteria (L. Suresh) -- An ontology-based approach for making smart suggestions based on sequence-based context modeling anddeep learning classifications (S. Cheriyan) -- Simulation of GA Based Harmonics Elimination in CHMLI using DTC for Dynamic load (A. Sharma) -- Discussing the future perspective of Machine learning and Artificial Intelligence in COVID-19 Vaccination: A review (R. Roy) -- Embedded Platform based Heart Lung Sounds Separation using Variational Mode Decomposition (M. Mishra) -- MIMO- Modulation Schemes for Visible Light Communication in Indoor Scenarios (V. Vakamullu) -- Image Resampling Forensics: A Review on Techniques for Image Authentication (V. Kadha) -- The Impact of Perceived Justice and Customer Trust on Customer Loyalty (A. S. Rao) -- Performance analysis of wind diesel generation with three phase fault (A. Sharma) -- C-RPI : Cluster based Rendezvous Point Identification and Mobile Sink based data collection in LR-WPAN (Jayalekshmi S) -- Effect of Weather on COVID-19 pandemic in North East India (P. Das) -- A comparative study on the performance of Soft Computing models in the prediction of Orthopedic disease in the environment of Internet of Things (J. P. Choudhury) -- Maximization of Active Power Delivery in WECS Using BDFRG (M Paul) -- Identification and Detection of Credit Card Frauds Using CNN (Nalayini C M) -- Different degradation modes of field deployed Photovoltaic modules: A literature review (P. Das) -- Impact of Security Attacks on Spectrum Allocation in Cognitive Radio Networks (W. Singh) -- Human Activity Detection Using Attention Based Deep Network (M. Kumar) -- Software Vulnerability classification Using Learning Techniques (B. Verma) -- Service Recovery: Past, Present, and Future (A. S. Rao) -- An in-depth accessibility analysis of top online shopping websites (N Kesswani).

Sommario/riassunto

Computational intelligence consists of those techniques that imitate the human brain and nature to adopt the decision-making approach. This book contains selected papers from the 8th International Conference on Computers, Management and Mathematical Sciences (ICCM) 2022 about fuzzy systems, neural networks and evolutionary computation that can address stochastic environments where reasoning is a significant attribute to derive potential solutions and focus on the business domain's computational aspects. This is a conference proceedings for scholars/students who are using the powerful algorithms, concepts and principles of computational intelligence in a wide spectrum of research cases.