Abstract A healthy life is essential for a happy society, however it fact that seemingly invisible diseases plague our families and people suffer. The thyroid disease falls in such category. Thyroid disorders are long-term with carefully handled illnesses, may also live stable normal lives. diagnosis, particularly an inexperienced clinician, difficult proposal. Many researchers have established various methods the diagnosis of several models prediction been developed. As other domains,...

In this paper, we propose a novel clustering algorithm which uses weighted combination of several criteria as its fitness function. We demonstrate the suitability new method in case text documents. The proposed leverages concept nearest neighbour separation (NNS) to enhance clusters and also outlines heuristic compute NNS. A parameterized function has been can be tuned provide more weightage traditional metrics based on inter- intra-cluster distances or Genetic Algorithm used perform actual...

In this fast pacing world of modernisation, people are moving ahead at the expense affecting society cataclysmically and making more standoffish aloof. Some becoming too competitive to earn money while others have no clue how about getting even a penny. But same time, there exist who wish contribute out altruism. existing centralised systems brokers for charities so corrupt that lose belief in these trustless hence become futile. What if we can use rapacious ideology minded coupled with...

Polycystic Ovary Syndrome (PCOS) is a widespread endocrinological dysfunction impacting women of reproductive age, categorized by excess androgens and variety associated syndromes, consisting acne, alopecia, hirsutism. It involves the presence multiple immature follicles in ovaries, which can disrupt normal ovulation lead to hormonal imbalances health complications. Routine diagnostic methods rely on manual interpretation ultrasound (US) images clinical assessments, are time-consuming prone...

Transfer learning attempts to use the knowledge learned from one task and apply it improve of a separate but similar task. This article proposes evaluate this technique’s effectiveness in classifying images medical domain. The presents model TrFEMNet (Transfer Learning with Feature Extraction Modules Network), for images. representations General Module (GFEM) Specific (SFEM) are input projection head classification module learn target data. aim is extract at different levels hierarchy them...

Traditional Optical Character Recognition (OCR) systems that generate text of highly inflectional Indic languages like Hindi tend to suffer from poor accuracy due a wide alphabet set, compound characters and difficulty in segmenting word. Automatic spelling error detection context-sensitive correction can be used improve by post-processing the generated these OCR systems. A majority previously developed language models for have been context-free. In this paper, we present Vartani Spellcheck...

Film industries all around the world continue to produce thousands of movies every year. Each such movie is generally classified into 2-5 genres on popular websites and streaming platforms. However, genre classifications are based nature script or scenes alone do not usually provide a measurement percentage in movie. In this work, we present an approach break down its respective compositions viewer opinion using neural networks introduce GenRec - content-based recommender system these...

This paper develops a digital watermarking algorithm using an informed watermark retrieval architecture. The developed method uses the fractional Fourier transform to embed in space-frequency domain and extracts blind source separation techniques. embedding is further enhanced heuristic increase strength of system. We use genetic find optimal by minimizing coefficient RMSE between input image watermarked image. algorithm's performance against various common attacks, e.g., JPEG compression...

Secure digital images is very important for today’s scenario which combining methods and techniques coming from cryptography image processing. Visual Cryptography Scheme (VCS) a new kind of technique allows visual information (e.g. printed text, picture etc.) to be encrypted in such way that decryption can performed by the human system without any complex computation on computers. Here we proposed based division grey level generation Secret Shares. In this paper represent (k, n) Threshold...

The novel coronavirus illness (COVID-19) outbreak, which began in a seafood market Wuhan, Hubei Province, China, mid-December 2019, has spread to almost all countries, territories, and places throughout the world. And since fault diagnosis of disease causes psychological impact, this was very much visible COVID-19. This research aims address issue by providing better solution for COVID-19 disease. paper also addresses important having less data prediction models elaborating on handling...

In this paper, we are using fractional Fourier transform (FrFT) for the application of image processing. Our objective is to use FrFT in such a way that it can provide solution denoising issues on larger scale. The assertion behind has been broadly used and validated context signal processing as time-frequency analytical tool. Many cases available processing, detection, filtering, feature extraction signal. Considering these studies, enhance denoise images parallel set filters. Through...

Optimal selection of interdependent IT Projects for implementation in multi periods has been challenging the framework real option valuation. This paper presents a mathematical optimization model multi-stage portfolio projects. The optimizes value within given budgetary and sequencing constraints each period. These are due to time wise interdependencies among A Metaheuristic approach is well suited solving this kind problem definition genetic algorithm proposed solution. solution can help...