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Found 3841 matches for "All Articles"
Fusion: Practice and Applications | 2022

Leukemia Cancer Detection Using Various Deep Learning Algorithms

Leukemia is a type of blood cancer. Leukemia is cancer that begins in the blood cells. The lymphocytes and other blood cells are created in the bone marrow. When a person has leukemia the bone marrow does not function properly. Leukemia cells are produced by the bone marrow. Leukemia cells are mainly referred to as "rupture". These naive cancer cells block the cells that create the bone marrow. In this paper, various approaches to the classification & automatic detection of leukemia are described. The experiment was successfully implemented in Kaggle. Deep Learning algorithms were largely used in the treatment of Leukemia for the classification & detection of its presence in a patient. The paper describes Convolutional Neural Networks (CNN) and Visual Geometry Group-16(VGG-16) algorithms that are used to categorize leukemia into its sub-types and presents a comprehensive study of these algorithms.

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Devanshu Joshi mail -
Rishabh Tater mail -
Priya Yaday mail -
Tripti Jain mail -
Preeti Nagrath mail
link https://doi.org/10.54216/FPA.090106

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new
International Journal of Wireless and Ad Hoc Communication | 2022

Design and Implementation of Demodulator and Carrier Phase Compensation System for Satellite Communication

A proposed design and FPGA implementation of a demodulator and phase compensation system is presented. The system is simple, accurate, dissipate low power. Simulations indicate that the proposed system compensates the error in the received phase quickly which decreases the bit error rate (BER) in wireless systems. FPGA implementation of the proposed system shows a power reduction by 27.91% and the speed by 66.89% compared to Costas loop.

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Pushan K. Dutta mail -
David Winters mail -
Nader Behdad mail -
Mohamed Saber mail
link https://doi.org/10.54216/IJWAC.050104

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new
International Journal of Wireless and Ad Hoc Communication | 2022

Design and FPGA Implementation of Digital Frequency Modulation Receiver

In this paper, we introduce the design of a digital frequency modulation receiver using FPGA. The main component in the design is digital phase locked loop (DPLL) which compensate any changes between the frequency and phase of the input modulated signal and the frequency and phase of numerically controlled oscillator.    The input to the receiver is 8-bit represents the sampled discrete time signal from the analog modulated received frequency modulation signal. The receiver is designed using Xilinx system generator and implemented on the FPGA board (Xilinx Vitrex-7 XC7VX550t board), works with 350 MHz and consumes 120 mW. 

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Khadija Shazly mail -
Mohamed E. Ghoneim mail -
Sunil Kumar mail
link https://doi.org/10.54216/IJWAC.040206

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new
International Journal of Wireless and Ad Hoc Communication | 2021

New Optimization Models for Sine Cosine Functions in Embedded Telecommunication Systems

Trigonometric functions are essential part of digital communication systems such as receivers, synthesizers, and phase locked loop. Implementation of trigonometric functions requires many arithmetic units; multipliers and adders circuits which reduces the speed of operation and consumes much power. In this paper we introduce two approximation methods to represents sine, and cosine functions to achieve fast operation and low power consumption. The simulations indicate a matching between the ideal trigonometric functions and the approximation method with 0.001 error which considered as trivial amount.

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Mohamed Saber mail -
El-Sayed M. El-Kenawy mail -
Abdelhameed Ibrahim mail -
Marwa M. Eid mail -
Abdelaziz A. Abdelhamid mail
link https://doi.org/10.54216/IJWAC.030205

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new
Galoitica: Journal of Mathematical Structures and Applications | 2022

A Study in the Integral of Sine and Cosine Functions

Trigonometric functions are among the most widely used functions in many science fields, especially sine and cosine functions because they are essential for periodic functions that describe sound and light waves in different types and wavelengths. Therefore, researchers studied the integrals of sine and cosine functions in different forms of the integrating function. In this paper, we spotlighted several most important yet under-studied integrals that are poorly mentioned in Arabic and foreign textbooks and studies. In addition, we studied Integral of Sine and Cosine for n as a positive rational number and concluded that each of these integrals leads to functional series. When studying the convergence of these series using the D'Alembert ratio test, we found that these series are convergent over the entire set of real numbers. This convergence is highly useful when applying such integrals in different science fields.

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Maissam Jdid mail -
Fatima Al Suleiman mail
link https://doi.org/10.54216/GJMSA.020105

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new
Journal of Artificial Intelligence and Metaheuristics | 2022

Watermarking Models and Artificial Intelligence

Machine learning and deep learning are good bets for solving various intelligence-related problems. While it has practical applications in watermarking, it performs less well on more standard tasks like prediction, classification, and regression. This article offers the results of a thorough investigation into watermarking using modern tools like AI, ML, and DL. Watermarking's origins, some historical context, and the most fascinating and practical applications are also covered briefly.

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B. M. El-den mail -
Marwa M. Eid mail
link https://doi.org/10.54216/JAIM.010203

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new
International Journal of Wireless and Ad Hoc Communication | 2022

Blockchain-based Model for Image Encryption in IoT Communication Environment

Nowadays, the internet of things (IoT) has become increasingly common and finds application in various fields, particularly in the health care industry. However, the development and design of IoT data analysis methods face some problems such as lack of adequate training data, resource constraints, centralized framework, security, and privacy. In contrast, the increase in blockchain techniques provides a decentralized framework. It is promoted to remove centralized control and resolve the problem of AI as well as allow secured distribution of data and resources to the diverse nodes of IoT system. This paper devises a new IoT with Blockchain based Secure Image Encryption with Disease Classification model.

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Esmeralda Kazia mail
link https://doi.org/10.54216/IJWAC.050105

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new