Titlebook: Recent Trends in Communication and Intelligent Systems; Proceedings of ICRTC Aditya Kumar Singh Pundir,Anupam Yadav,Swagatam Da Conference

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Bacterial Spot Classification in Bell Pepper Plants Based on Convolutional Neural Network Architectlassification of diseases in plants. The traditional methods of classification require more effort and time at the same time the accuracy is too low, this leads to the problem in the production of yield. Nowadays, classification of diseases using computer vision gains so much attention among the gov

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Prediction of Bone Mineral Density Using AI to Detect Osteoporosis,ng bone mineral density with different parameters. This paper discusses cutting-edge technology algorithms of Python such as K-Means, KNN, Linear Bayesian Regression, Naive Bayes Regression, Multi-Linear Regression, Theil Sen Regression, Polynomial fit, Random Forest Classifier, Decision Tree Regres

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On the Depth of Convolutional Neural Networks for Image Classification Problems,asets. The datasets include MNIST handwritten digits, AUTNT scripts, AUTNT text versus non-text, and Dogs versus Cats. We started with a pair of convolutional layer and max pool layer and gradually expanded the depth by adding pair(s) of convolutional layer and max pool layer. Initially, the accurac

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A Modified Tilt Integral Derivative (MTID) Controller Design Using Direct Synthesis Approach,thod for setting the proportional-integral-derivative (PID) controllers is the DS approach. However, NIO processes have not yet been subjected to this methodology. The DS approach is used in this study to take advantage of its simplicity. The resulting controllers are like the enhanced tilt-integral

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A Novel Modified Semicircular Patch Antenna for Next Generation Communication, a 30 × 30 mm. FR-4 dielectric substrate of thickness 1.59 mm. Bandwidth ratio of the proposed antenna is 14.38:1 for a VSWR < 2 and operates between the frequency range of 2.78 and 40 GHz. Proposed semicircular patch antenna’s maximum gain is 5.61 dB. This antenna is suitable for Wi-Fi, GPS, Intern

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Panoptic Driving Perception Using Deep Learning Techniques,s and algorithms to execute driving functions, such as braking, steering and accelerating, by interpreting the vehicle’s environment and making decisions accordingly. A critical component of the autonomous driving system is the panoptic driving perception system, which offers a comprehensive underst

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Schistosomiasis Prevention Undermined by Water Point Forecasting: An Approach Based on Data Fusion on which leverages information coming from different data sources to make a decision. The approach we present follows a “Y” pattern where in the left branch there is a machine learning model in charge of forecasting the water quality of a water point. In the right branch, there is an epidemiological

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A Comparative Study of Classification Algorithms for the Prediction of Communication Effectiveness, and identifying a student’s level. In this Research, we are determining each student’s communication level. After the outcome, teachers can give them proper training to improve their level. By discovering this level, we could recover and train the student before getting a suitable placement. Many s

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A Dynamic Threshold-Based Cognitive Radio Energy Detection Algorithm for Multi-carrier Waveforms,eeds to be accessed to effectively perform cellular systems. Cognitive radio (CR) is an advanced technique for obtaining the spectrum efficiently. Spectrum Sensing (SS) is the most significant component of CR. In this work, we have designed a novel Energy Detection (ED) algorithm for an advanced wav

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