Titlebook: Advances in Signal Processing and Intelligent Recognition Systems; 4th International Sy Sabu M. Thampi,Oge Marques,Maheshkumar H. Kolekar C

CARE

Classification of Plants Using GIST and LBP Score Level Fusioncolor, texture but these are not enough to distinguish one plant species from another. Extraction of prominent leaf features involves enhancement and feature normalization. The leaf venation may explore as a promising feature due to its correlation similarity between intra-classes. Recently numerous

令人作嘔

Real-Time Poultry Health Identification Using IoT Test Setup, Optimization and Results to analyze and identify the infected hen. This reduces the cost of labor and increase the accuracy of the identification process. In this paper we discuss about the overall system, audio and video analysis methods and comparing the results using Matlab. The process of sick identification has been o

Meander

IoT Based Food Inventory Tracking Systemion-making. With technology advancing in a fast pace and everything around us becoming automated, people prefer to monitor and perform their day-to-day activities by using the smart devices they carry everywhere rather than manually recording and monitoring things. Maintaining and keeping track of e

intrude

On Acoustic Monitoring of Farm Environmentss direction, we propose exploiting the acoustic modality for farm monitoring. Such information could be used in a stand-alone or complimentary mode to monitor the farm constantly and provide a great level of detail. To this end, we designed a scheme classifying the vocalizations produced by farm ani

古董

Clickbait Detection Using Swarm Intelligenceng clickbaits solely by the headline without opening the link, can serve as a utility for users over internet. This can prevent their time from useless surfing caused by exploring clickbaits. In this paper Ant Colony Optimization, a Swarm Intelligence (SI) based technique has been used to detect cli

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Obstacle Detection in Drones Using Computer Vision Algorithmd an object. This complication arises due to restricted number of heavy sensors like radar. To overcome the drawbacks of heavy sensor, light weight monocular cameras can be employed. Monocular cameras are capable of analyzing and computing depth by giving the three-dimensional representation. In the

Longitude

Intelligent Systems Applied to the Classification of Multiple Faults in Inverter Fed Induction Motorestigation based on learning machine classifiers to proper classify machine multiple faults i.e. stator short-circuits, broken rotor bars and bearings in three phase induction motors driven by different inverters models is proposed. Experimental tests were performed in 2 different motors, running at

nominal

A v-Hog Tensor Based Discriminant Analysis for Small Size Face Recognitionystem. This work distils to applying v-Hog Tensor discriminant analysis on small sized face image to yield good result in terms of correctness rate. Firstly the face image is mapped on to w-quintuple Colorspace to effectively interpret information existing in the image. Further discriminant features