Breast cancer is one of the most common diseases among women worldwide. It considered leading causes death women. Therefore, early detection necessary to save lives. Thermography imaging an effective diagnostic technique which used for breast with help infrared technology. In this paper, we propose a fully automatic system. First, U-Net network automatically extract and isolate area from rest body behaves as noise during model. Second, two-class deep learning model, trained scratch...

Data sets dealing with the same medical problems like Coronary artery disease (CAD) may show different results when applying machine learning technique. The classification accuracy and selected important features are based mainly on efficiency of diagnosis analysis. aim this work is to apply an integration analysis applied data targeting CAD disease. This will avoid missing, incorrect, inconsistent that appear in collection. Fast decision tree pruned C4.5 where resulted trees extracted from...

Abstract The term “Internet of Things” (IoT) refers to a system networked computing devices that may work and communicate with one another without direct human intervention. It is the most exciting areas nowadays, its applications in multiple sectors like cities, homes, wearable equipment, critical infrastructure, hospitals, transportation. security issues surrounding IoT increase as they expand. To address these issues, this study presents novel model for enhancing systems using machine...

With the increasing prevalence of diabetes in Saudi Arabia, there is a critical need for early detection and prediction disease to prevent long-term health complications. This study addresses this by using machine learning (ML) techniques applied Pima Indians dataset private datasets through implementation computerized system predicting diabetes. In contrast prior research, employs semisupervised model combined with strong gradient boosting, effectively diabetes-related features dataset....

Breast cancer is the second most frequent worldwide, following lung and fifth leading cause of death a major among women. In recent years, convolutional neural networks (CNNs) have been successfully applied for diagnosis breast using different imaging modalities. Pooling main data processing step in CNN that decreases feature maps’ dimensionality without losing patterns. However, effect pooling layer was not studied efficiently literature. this paper, we propose novel design called vector...

This paper explores the integration of ChatGPT, an AI-based language model, in undergraduate education. The study examines potential benefits, challenges, and ethical considerations associated with incorporating ChatGPT into teaching learning practices. It investigates impact on student engagement, critical thinking, problem-solving skills, as well its to enhance writing skills provide personalized experiences. survey conducted faculty staff at a university reveals their perspectives using...

Abstract Lip‐reading is a process of interpreting speech by visually analysing lip movements. Recent research in this area has shifted from simple word recognition to lip‐reading sentences the wild. This paper attempts use phonemes as classification schema for explore an alternative and enhance system performance. Different schemas have been investigated, including character‐based visemes‐based schemas. The visual front‐end model consists Spatial‐Temporal (3D) convolution followed 2D ResNet....

Diagnosing Heart diseases is one of the problems that require high level accurate analysis and prediction. Using ensemble methods in decision support systems provide an important help analyzing this type diseases. Different data extracted from different research laboratories referring to same disease. This requires further rework detecting best ensemble. Trying combinations classification techniques for every set not solution consumes a lot time effort. The proposed framework seeks...

The Semantic Web is the next giant step of current web technology. use and application in E-learning has been explored with regard to two areas: 1) software that supports instructors perform their tasks flexible online educational settings, 2) interprets structure distributed, self organized, self-directed web-based learning. These areas related require a semantic representation entities pedagogical material, specifically techniques teaching-learning process. In most systems users are able...

Non-verbal people with autism are usually unable to communicate normally using natural languages. They can, however, learn through specific symbols and images. Special education instructors have adopted this method of communication teach non-verbal autism. introduce the images them different methodologies. This learning process appeared be effective but it is very long. The carried out manually requires a lots times, dedication, resources. should find materials in formats circumstances....

The mechanisms of information diffusion in Online Social Networks (OSNs) have been studied extensively from various perspectives with some focus on identifying and modeling the role heterogeneous nodes. However, none these studies considered influence fake accounts human how this will affect rumor process. This paper aims to present a new model that characterizes bots process OSNs. proposed SIhIbR extends classical SIR by introducing two types infected users different infection rates: who...

In this paper a new system is developed for autonomous robots to detect and track multi-objects in uncontrolled environments real time the purpose of decreasing processing needed obtaining better error rates than current systems. To achieve this, novel multi object tracking algorithm introduced, implemented enhanced using multithreading where every thread corresponds detected motion area. The implementation considered not only objects but also estimation speed up overall process. addition,...

In order to increase security in road traffic, driver assistance systems became an important topic research. For these inter-vehicle communication is very promising as it can serve the with additional information. Therefore, protocols and routing strategies are needed distribute information between vehicles. These have be tested large networks provided by a simulation tool that models movement of vehicles on network used platform for testing different protocols. The described various traffic...

It is estimated that as many 25 percent of individuals living with autism spectrum disorders are non-verbal. That is, they cannot functionally communicate others using their voice. Despite substantial fraction, we still know very little about these individuals, abilities, and needs. "We the cognitive capabilities nonverbal people autism, how best to help them learn communicate," said Geri Dawson, Ph.D., Autism Speaks chief science officer.
 Non-verbal usually unable normally natural...

This study delves into the integration of ChatGPT, an artificial intelligence-driven language model, within undergraduate education. The research scrutinizes potential advantages, obstacles, and ethical dimensions linked to including ChatGPT in educational practices. It assesses how may impact student engagement, critical thinking, problem-solving abilities, writing proficiency, delivery personalized learning experiences. A survey administered university faculty members captures their...

Most interconnection networks have either a large diameter value or relatively high connectivity. To overcome some of these problems, the authors present class hierarchical (HINs) which can be implemented by many existing topologies as base HIN. A joint is defined common nodes and links between two successive levels an In all HINs, only one node used within hierarchy hence length one. proposed change to include more nodes. The structures need not same type. also studied impact varying number...

Medical image retrieval covers a major application area, providing significant assistance in medical diagnosis. In this paper, several parameters for wavelet-based system HRCT lung images are analyzed, order to improve the performance of terms precision and time. The information gain measure is used evaluate extracted features find that have most discriminating power across disease classes. A weighted similarity metric based on evaluation retrieval. number levels wavelet decomposition...

In this paper a parallel optoelectronic computer architecture is proposed for expert systems in order to achieve high speed and performance processing of rule-based systems. The system modeled implemented using two-dimensional space optics symbolic correlator perform the comparison operations system. Also paper, an inference engine presented. optical able 3D inferring conclusions queries by representing knowledge (facts rules) 2D matrix-like formulation. structure machine based on...

Hierarchical interconnection networks (HINs) have been introduced to maintain a low node degree with an increasing network size. This paper presents systematic procedure for designing general class of HINs and could be based on existing topologies by connecting partition each disjoint cluster as gateway all other clusters in the network. The size these gateways, or gatewidth, can varied satisfy required characteristics. scheme is illustrated defining hypercube HINs, different designs are...

H. Abdelhamid, H.G. Amin, A. M. Attia, W. Badran, S. Fahim, Fakhreldin, Hassan, O. Karam, R. Rafik Khalil, Y. MoneimThe British University in Egypt (BUE) (EGYPT)

Data mining (DM) algorithms arose as a promising and flourishing discipline at manufacturing industrial engineering.This paper proposes an efficient decision support approach for engineering.The proposed tackles clustering challenges engineering materials properties.It adopts the hierarchal properties.Extensive experiments comparisons are conducted on three different real-world datasets properties.In addition, study of similarity measures is carried out to choose best fit

Educational institutions and users involved in the whole learning process frequently have concerns about storage processing of sensitive data essential apps cloud. Security privacy issues emerged as a major challenge, limiting cloud computing's implementation educational environments. Several yet to meet this security which is linked system's multi-tenancy nature outsourcing resources data. This study proposes secure framework for protecting cloud-based systems from hacking using unique...