Titlebook: Smart Systems and IoT: Innovations in Computing; Proceeding of SSIC 2 Arun K. Somani,Rajveer Singh Shekhawat,Vivek Kumar Conference proceed

HUMID

Statistical Image Processing for Enhanced Scientific Analysis,ts presented and authenticated the statistical processing approach as a potential tool for gap filling of lost pixels for the satellite imagery, which can enable more scientific usage of the acquired data sets.

CURB

The MANI Protocol for Intra-Vehicular Networking,e) for cost-effective, reliable and fault tolerant transmission of data in intra-vehicular network. A machine learning based environment-adaptive method to detect link fault has also been proposed in the frame work of the network model using self-organizing maps. Furthermore, the proposed network pr

uveitis

IoT-Based Smart Car for Safety of Elderly People,ere is a case of emergency then SOS is sent to the interested people, then several lives can be saved. In this paper, the network of sensors is used to monitor the condition of the driver. The eye blink sensor, the GSR sensor, the vision sensor, alcohol gas sensor, comfort sensors, sensors related t

Toxoid-Vaccines

IoT Based Solution for Automation of Hospital activities with High Authentication,nd the ambulance service provided by the hospital. With the use of this model, there will be transparency in the system of the hospital, thus leading to the development of the trust among the people related to the hospital. The data is transferred using the Internet services among the devices and th

蛤肉

Analysis and Comparison of Sensor Node Scheduling Heuristic for WSN and Energy Harvesting WSN,SNs) are proposed but these are not persistent. The aim of EH-WSN is to supply long-term power supplied WSN and rechargeable batteries. Ambient energy sources and the scavenging methods that can be used in WSNs to deal with energy issues are surveyed in this paper. Modified QC-MCSC is proposed for W

Trochlea

Anticoagulant

A Dielectric Modulated Polarity Controlled Electrically Doped Junctionless TFET Biosensor for IOT Ast effectiveness, ED-JL-TFET has been preferred as biosensor. Finally, the detection ability of ED-JL-TFET has been explored by varying charge density and dielectric constant of the biomolecule, height and length of the nanogap cavity region for different voltage condition by employing 2D Silvaco AT

Tempor

Algorithm Selection via Meta-Learning and Active Meta-Learning, method leads to significantly better ranking with reduced Meta-Examples. The executed experiments discovered a considerable improvement in Meta-Learning performance that supports nonexperts users in the selection of classification algorithms.

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宽容

Arun K. Somani,Rajveer Singh Shekhawat,Vivek KumarPresents original research and development activities in the field of smart systems, innovations, and computing.Discusses smart IOT systems and the challenges.Reviews the different computational aspec