Titlebook: Intelligent Systems and Sustainable Computing; Proceedings of ICISS V. Sivakumar Reddy,V. Kamakshi Prasad,Naga Mallika Conference proceedin

出處

Affable

神化怪物

Singamaneni Krishnapriya,T. Chithralekhaicrolenses and holograms can be realised by means of Diffractive Optical Elements (DOE). Many DOEs exploit micrometer and sub-micrometer surface relief patterns to modulate the phase of the incoming radiation and to perform the redistribution of the electromagnetic field arising from the DOE itself.

我不重要

Polasi Sudhakar,Suresh Chandra Satapathyracteristic length exceeds the propagation distance, will weaken its intensity and ability to spatially resolve a given area or spot. Propagation in optical waveguides is generally considered as the most effective approach for counterbalancing diffraction over finite propagation distances, utilizing

AGOG

originality

Air Pollution Detection and Prediction Using Moving Average in Indian Cities,ironment. The harmful gas emissions from industry, cars, and trucks contribute to a steadily deteriorating air quality. Every year, India loses over a million lives to air pollution, making the county with the worst rate of air pollution worldwide. Pollutants, chemicals, and other harmful substances

烤架

Engaged

Performance Analysis of American Sign Language Using Wavelet Transform and CNN,ent, portable, and economical, tools, techniques, and products to make communication smooth, fast, and correct for both static and dynamic sign language recognition. For vision-based sign language recognition, various machine learning algorithms are used. Convolutional Neural Network (CNN) is one su

MAOIS

Image Transmission in Underwater Through Li-Fi,the field of high data rate wireless transmission which can be an alternative for Wi-Fi, especially in underwater communication. At present, acoustic waves are used for underwater communication. Due to its lower data rates and attenuation losses, it paved the way for underwater wireless optical comm

Aggressive

Leaf Disease Identification with Multi-label Classification of Various Plants Using Dense CNN Modele in plant’s leaf has to be identified and diagnosed. Using automated detecting techniques result high crop yield with minimum loss. The proposed system in this paper uses image processing for automated vision system and deep learning technology, i.e., convolutional neural network (CNN) for classifi