Titlebook: International Conference on Intelligent and Smart Computing in Data Analytics; ISCDA 2020 Siddhartha Bhattacharyya,Janmenjoy Nayak,Ajith Ab

平淡而無味

P. Jyothi,G. Pradeepinider persons acquire multiple diseases, first of all chronic diseases. They involve complex problems of a physical, social, and psychological nature. The multimorbidity of the elderly raises many questions in drug therapy. By contrast with our extensive knowledge of pharmacokinetics and pharmacodynam

檔案

核心

粘土

Nikhat Parveen,Mazhar Khaliqof present-day society. The highest values of individuals and social groups are strongly attacked or are at risk as a result of the spread of drug abuse. As a consequence, society is deprived of the contribution of many of its members toward the establishment of better condi- tions of life. On the o

Hot-Flash

2194-5357 dustrial IoT, health informatics, human–computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.?.978-981-33-6175-1978-981-33-6176-8Series ISSN 2194-5357 Series E-ISSN 2194-5365

DENT

SOW

Synthesize

An IoT-Based BLYNK Server Application for Infant Monitoring Alert System to Detect Crying and Wetneer, a speaker and a sound sensor module. The sound sensor module detects the babies cry and executed according to the action provided. The BLYNK application server is used to send the notifications to the registered parent’s mobile number as alert message regarding their kids status.

Abominate

Analysis of DEAP Dataset for Emotion Recognition,ticle includes analysis of human affective state using DEAP- “Dataset for Emotion Analysis using Physiological Signals”. It is a multimodal dataset, where 40 channels are used, 32 subjects participated, and 40 one-minute video pieces of music was shown to them. The participants evaluated each music

讓空氣進入

A Machine Learning Approach for Air Pollution Analysis,ic oxide, nitrogen dioxide (NO.), and sulfur dioxide (SO.) will be detected using these sensors. The detected parameters are analyzed using machine learning (ML) algorithms to estimate air quality. The ecosystem developed helps in learning correlation among gases. This helps in estimating impact and