In recent decades, image encryption, as one of the significant information security fields, has attracted many researchers and scientists. However, several studies have been performed with different methods, novel useful algorithms suggested to improve secure encryption schemes. Nowadays, chaotic methods found in diverse such design cryptosystems encryption. Chaotic methods-based digital encryptions are a method. This technique uses random chaos sequences for encrypting images, it is...

Advances in wireless technologies and small computing devices, sensor networks can be superior technology many applications. Energy supply constraints are one of the most critical measures because they limit operation network; therefore, optimal use node energy has always been biggest challenges networks. Moreover, due to limited lifespan nodes WSN management, increasing network life is WSN. In this investigation, two computational distributions presented for a dynamic fog-based system, load...

Machine learning models based on sensitive data in the real-world promise advances areas ranging from medical screening to disease outbreaks, agriculture, industry, defense science, and more. In many applications, participant communication rounds benefit collecting their own private sets, teaching detailed machine real data, sharing benefits of using these models. Due existing privacy security concerns, most people avoid for training. Without each user demonstrating local a central server,...

The present study is developed a new approach using computer diagnostic method to diagnosing diabetic diseases with the use of fluorescein images. In doing so, this presented growth region algorithm for aim diabetes, considering angiography images patients’ eyes. addition, integrated two methods, including fuzzy C-means (FCM) and genetic (GA) predict retinopathy in patients from was applied total 224 As clearly confirmed by obtained results, GA-FCM outperformed hand regarding selection...

Diabetic retinopathy is characteristic of a local distribution that involves early-stage risk factors and can forecast the evolution illness or morphological lesions related to abnormality retinal blood flows. Regional variations in flow modulation capillary width macular area environment are also linked course diabetic retinopathy. Despite fact frequent nowadays, it hard avoid. An ophthalmologist generally determines seriousness eye by directly examining color photos evaluating them...

Breast cancer is one of the main causes death among women worldwide. Early detection this disease helps reduce number premature deaths. This research aims to design a method for identifying and diagnosing breast tumors based on ultrasound images. For purpose, six techniques have been performed detect segment Features images are extracted using fractal method. Moreover, k-nearest neighbor, support vector machine, decision tree, Naïve Bayes classification used classify Then, convolutional...

Fatigue is an essential criterion for physiotherapy in injured athletes. Muscle fatigue mechanism also a crucial matter designing workout program. It mainly related to physical injury, cerebrovascular accident, spinal cord and rheumatologic disease. The leg one of the organs body where visible, usually, first traces human are shown. main objective article diagnosis tired untired feet base on digital footprint images. Therefore, foot images students age group 20-30 were examined. device...

At present, there is an increase in the capacity of data generated and stored medical area. Thus, for efficient handling these extensive data, compression methods need to be re-explored by considering algorithm’s complexity. To reduce redundancy contents image, thus increasing ability store or transfer information optimal form, image processing approach needs considered. So, this study, two techniques, namely lossless lossy compression, were applied which preserves quality. Moreover, some...

The detection of brain tumors using magnetic resonance imaging is currently one the biggest challenges in artificial intelligence and medical engineering. It important to identify these as early possible, they can grow death. Brain be classified benign or malignant. Creating an intelligent diagnosis system for from MRI integral part engineering it helps doctors detect oversee treatment throughout recovery. In this study, a comprehensive approach diagnosing malignant proposed. proposed method...

Mammography is a significant screening test for early detection of breast cancer, which increases the patient’s chances complete recovery. In this paper, clustering method presented cancer tumor locations and areas. To implement method, we used growth region approach. This detects similar pixels nearby. find best initial point detection, it essential to remove human interaction in clustering. Therefore, FCM-GA algorithm starting growth. Their results are compared with manual selection...

This work presented the use of red mud (bauxite ore processing waste) in removal lead ions water samples. For this 0.1 g has been used as adsorbent which suspended 10 ml solution with concentration 50 mg l-1 for about 1 h. After that samples taken from treated measured atomic absorption spectroscopy (AAS). The effect some parameter is important adsorption on such suitable dosage, pH and contact time was investigated. result shows solid waste low-cost can be successfully ion aqueous solution.

Abstract Phase change materials (PCMs) have garnered significant attention in the realm of smart buildings due to their transformative impact on building structures and energy efficiency. In context buildings, incorporating PCMs into construction elements, such as walls or ceilings, enables them act thermal storage units. This dynamic behavior helps regulate indoor temperatures by absorbing excess heat during warmer periods releasing it when environment cools. As a result, equipped with PCM...

This paper studies p-i-n tunneling carbon nanotube field-effect transistor to investigate the effect of various parameters channel on characteristics transistor. Tunneling (T-CNTFET) has been simulated using non-equilibrium Green's function (NEGF), and transmission was conducted through inelastic scattering. Besides evaluation device performance, were also compared. One is considered as variable, while other are constant. Then, improved discussed by selection some parameters. T-CNTFET with...

One of the primary concerns in automotive industry is energy saving, protecting global environment and fuel consumption reduction. The main purpose this study to develop optimal supplementary parts for reduction aerodynamic force highway tractor trailer combinations reduce drag, without negatively affecting usefulness or profitability vehicles. In article, possibility improve performance boosting economy trucks studied by designing devices. That will be carried out using integrated...

This paper is the first about Farsi word spotting and font size recognition. In this work using some independent features such as number, aspect ratio, mesh of sub words, a keyword described, searched found. Also document image recognized. approach has been evaluated on dataset consisting 500 images where recognition rate 94.2%. Retrieval precision 92.3% at recall 76.5% obtained. with little adaptation applicable Arabic Urdu documents.

A tunneling carbon nanotube field effect transistor with asymmetric graded double halo (asym-GDH-T-CNTFET) is investigated in order to enhance band and evaluate the device characteristics by non-equilibrium Green's function (NEGF) method. The asym-GDH-T-CNTFET structure includes n-doped at source side p-doped drain which covered through channel. source-side doping, reduces short-channel (SCE) induced barrier lowering (DIBL) drain-side doping energy increases tunnelling contact, subsequently....

In this paper, a word spotting approach for Farsi printed document images has been presented. The main idea of the paper is font recognition and query modification according to image's before searching. This operation increases similarity between image its instances in image; therefore, performance system increases. proposed approach, after modification, rectangle searched text lines using XNOR measurement. order increase recall rate, we considered an almost low value as acceptance/rejection...