Breast cancer is one of the leading causes deaths among women in developed countries including India. Mammography currently most effective method for detection breast cancer. Early diagnosis allows treatment which could lead to high survival rate. This paper presents digital mammography using Image Processing Techniques by Artificial Neural Networks. A clinical database 42 previously verified patient cases are employed and randomly partitioned into two independent sets training testing. Gray...

The Paper presents study of 11 kV distribution network Jaipur city, with shunt capacitor placement at 11kV voltage level. In the current scenario utilities are managing expansion without planning capacitors. This paper provides an analysis losses in city by modeling present operating banks. model 260 bus is designed and reactive power requirement for constant load calculated from flow studies using Mi-power Software. proposed installation, calculating requirements real time existing system....

In this research, the finite impulse response (FIR) filter design procedure is analyzed with use of novel technique optimization while considering specified parameters. This will define coefficients in optimized form for different FIR filters- LP, HP, BP and BS filters objective getting desired frequency response. The error function considered as an which values δp δs are individually. A new algorithm undertaken utilization a hybrid composed Bat Seeker optimization. implemented various...

In recent years, there has been a significant amount of interest in Query By Image Content retrieval (QBIC). CBIR is technique for getting images comparable to the image given as query from huge database. context retrieval, more similar human semantics. addition medical imaging, surveillance, weather forecasting, crime prevention, and remote sensing, used variety fields. This refers content visual information images, like texture, shape, color. comparison text-based contains efficient...

Clustering, also known as unsupervised learning, is one of the most significant topics machine learning because it divides data into groups based on similarity with aim extracting or summarizing new information. It often used techniques. The problem encountered in this subject sheer volume electronic text documents accessible, which increasing at an exponential rate, necessitating development efficient ways for dealing these papers. Furthermore, not practicable to consolidate all papers from...

Cloud computing is a new way to organize things. users can store their files that are far away and linked the web. As result, personal critical data stored in an easily accessible transferable manner. Hence, its demand expanding daily. Due fact user accesses over internet, issues about secrecy confidentiality have arisen. To address this issue, hybridization employs encryption technology known as RSA with 3- DES approach. This article primarily addressed two aspects: security storage. The...

This study investigates the effects of friction stir processing (FSP) on Al-6061 aluminium alloy, reinforced with oxide nanoparticles. Using a CNC milling machine, various factors such as feed rate, number passes, and rotational speed were explored to understand their influence ultimate yield strengths, natural frequencies, damping ratios samples. The processed data properties predicted using sophisticated machine learning technique called SRS-optimized long short-term memory (LSTME)....

This study explores friction stir processing (FSP) of Al-6061 aluminum alloy reinforced with alumina nanoparticles, analyzing the effects parameters—including transverse speed, rotational and number passes—on ultimate tensile strength, yield natural frequencies, damping ratios. Using a CNC milling machine, FSP was conducted at speeds 900, 1100, 1300, 1500 rpm, traverse 10, 15, 20 mm/min. An advanced machine learning model, SRS-optimized long short-term memory (LSTME), utilized to predict...

Abstract: Osteoarthritis (OA) of the knee is a common cause activity restriction and physical impairment in elderly people. Early identification treatment can help delay progression OA. Physicians' visual examination rating objective, varies across interpretation, heavily reliant on their expertise. We use two machine learning approaches (CNN) this article to automatically estimate severity OA as described by Kallgren- Lawrence (KL) grading system. To begin, we customized one-stage YOLOv2...

Image contrast enhancement is a feature for the of image.Images which has been utilize proper visualization image.The nuclei hydrogen atoms in biological tissue adjusts themselves to magnetic field, afterwards radio-magnetic pulse will raise their energy level further, when ends they relax and during relaxation this be transmitted from atoms.The signal then detected by equipment processed further into pixels turn up makingthe biomedical image.This work more focused on medical images but...

Background/Objectives: The work introduces new image mixture method combining Aerial Images using improved discrete cosine harmonic wavelet transforms (DCHWT). Methods/Statistical Analysis: An innovative is planned that provides better results. Firstly, the input histogram converted into many segments and then proposed applied to every segment taken for fusion. performance of evaluated on basis PSNR, SSIM Execution Time. Findings: was found be quite efficient, fast accurate. Applications/...