Hussein Ali Salah

• PhD in Computer Science and Information Technology
• Professor (Assistant) at Middle Technical University

In recent years, the medical industry has shown interest in reorganizing its operations to accommodate technological advancements and incorporating decision support systems into normal clinical procedures. Clinical Decision Support Systems (CDSS) combine observations and knowledge of health to encourage physicians to make health-related decisions i...

An older people's disease known as frailty occurs when an elderly individual exhibits heightened susceptibility to little stimuli. An individual who is feeble experiences limited ability to grasp, an unintended reduction in weight, a feeling of happiness, a sluggish gait, and trouble standing. The detection of frailty phenomenology is one of the gr...

A prevalent and perilous in the contemporary are Distributed Denial of Service (DDoS) attacks. in which attackers attempted to prevent authorized users from accessing internet services by deploying many attack workstations. This research presents a detection approach based on One Dimension Convolutional Neural Networks, which has created an innovat...

The objective of this African Working Group is to bring together OR experts and health professionals – both from the public and private sectors – to develop a network of multidisciplinary skills in the field of health. This network will contribute to meet the challenges of this sector through the identification and implementation of action research...

Developed recently to solve the shortcomings of traditional networks, software-defined networking is a new paradigm (SDN). Decoupling the control plane from the data plane, which is the SDN's core property, makes network management simpler and promotes effective programmability. This system employs feedforward neural networks and deep learning tech...

ABSTRAC: The identification and forecasting of cyber-attacks is crucial process. In this article, we describe a paradigm for cyber security that makes use of data mining to forecast cyberattacks and identify appropriate countermeasures. The framework's two primary elements are the surveillance and prevention of cyberattacks. The system constructs a...

The life cycle cost of a building is affected by the heating, ventilation, and air conditioning (HVAC) system chosen by the Life Cycle Costs (LCC). Quality, constructability, appearance of the structure's interior and exterior, HVAC size and weight, and LCC are some of the criteria influencing the choice. Methods: To monitor a project's progress ba...

The life cycle cost of a building is affected by the heating, ventilation, and air conditioning (HVAC) system chosen by the Life Cycle Costs (LCC). Quality, constructability, appearance of the structure's interior and exterior, HVAC size and weight, and LCC are some of the criteria influencing the choice. Methods: To monitor a project's progress ba...

Steganography, which is the science of delivering a message between parties in a way that an eavesdropper will not be aware that the message exists, is one of the key disciplines that have a considerable interest in fields. The suggested method seeks to conceal a smaller color image within a larger color image. It utilizes the transform domain thro...

A significant amount of data is gathered by the healthcare sector, but it is not appropriately mined and utilized. Finding these hidden links and patterns is frequently underutilized. Our study focuses on this element of medical diagnostics by identifying patterns in the information gathered about kidney illness, liver disease, and chronic pancreat...

Because providing billions of objects with network connectivity, the Internet of Things (IoT) enables the collection and transfer of real-time data for intelligent applications. Therefore, IoT enables remote access and control of connected devices when there is a sufficient network infrastructure. Additionally, the introduction of software-defined...

The technology of the multimodal brain image registration is the key method for accurate and rapid diagnosis and treatment of brain diseases. For achieving high-resolution image registration, a fast sub pixel registration algorithm is used based on single-step discrete wavelet transform (DWT) combined with phase convolution neural network (CNN) to...

Early detection of skin cancer can contribute significantly in preventing the exacerbation of the condition and its transformation into a benign tumor, reducing the number of deaths in skin cancer. This paper introduces the application of K-means cluster for detecting the skin tumor and the Convolutional Neural Network (CNN) for automatic diagnosis...

Automated clinical decision support system (CDSS) acts as new paradigm in medical services today. CDSSs are utilized to increment specialists (doctors) in their perplexing decision-making. Along these lines, a reasonable decision support system is built up dependent on doctors' knowledge and data mining derivation framework so as to help with the i...

This article depicts a decision support system (DSS) devoted to the coordinated administration of urban frameworks. This framework defines the information and related treatments normal to a few civil managers and characterizes the necessities and functionalities of the PC devices created to enhance the conveyance, execution, and coordination of met...

In this paper, the Power system stabilizer (PSS) and (PID) are enhanced with a Chaotic Particle Swarm Optimization (CPSO) Damping Controller in order to suppression the Low-Frequency Oscillations (LFO) in a Single Machine Infinite Bus (SMIB) power system. Chaotic particle swarm optimization (CPSO) is used to tune the parameters of the PSS-PID. The...

This work presents an approach to deal with modelling a decision support system framework to introduce an application for decisions in medical knowledge system analysis. First aid is extremely important worldwide and, hence, a decision support framework, know as First Aid Decision Support System (FADSS), was designed and implemented to access exper...

A technique watermarking is for protection copyrighted image. In this paper is present a new robust watermark embedding method by using Discrete Wavelet Transform (DWT), Arnold Transform (AT) and particle swarm optimization (PSO). The important target of proposed algorithm is to select best cover by using practical swarm optimization, the security...

A technique watermarking is for protection copyrighted image. In this paper is present a new robust watermark embedding method by using Discrete Wavelet Transform (DWT), Arnold Transform (AT) and particle swarm optimization (PSO). The important target of proposed algorithm is to select best cover by using practical swarm optimization, the security...

A technique watermarking is for protection copyrighted image. In this paper is present a new robust watermark embedding method by using Discrete Wavelet Transform (DWT), Arnold Transform (AT) and particle swarm optimization (PSO). The important target of proposed algorithm is to select best cover by using practical swarm optimization, the security...

A technique watermarking is for protection copyrighted image. In this paper is present a new robust watermark embedding method by using Discrete Wavelet Transform (DWT), Arnold Transform (AT) and particle swarm optimization (PSO). The important target of proposed algorithm is to select best cover by using practical swarm optimization, the security...

In life, a chaotic system has many applications in different fields, including physics, biology, communication, and cryptography. In this study, a new hyperchaotic system is introduced. This hyperchaotic system is a two-dimensional system that is based on three maps-namely, logistic, iterative chaotic, and Henon maps. The dynamics of this system ar...

This article introduces the advancement of a Decision Support System (DSS) for air pollution. This DSS is intended to address and bolster various air pollution causes and numerous leaders, in a few spots. The assessment of the DSS examines the impact of air contamination parameters reporting in real time. The framework identifies the contamination...

The main issue addressed in our case study is the evaluation of the drinking water resource from the Tigris River within the Baghdad City area. Water quality has an important impact on human health since different diseases can be the result of poor quality. This paper presents several strategies to manage water quality and water pollution in order...

This paper presents an establish a methodology to facilitate decision making process that ensures reliable and optimum decision for water, water quality network and water pollution to be used in web-based Decision Support System (DSS) for water management by using ontology methods to provide a visualization of problem domain before implementation i...

This paper presents a comparative study between a number of data mining, knowledge discovery tools and software packages to be used in a Decision Support System (DSS) for water resources management. The case study deals with the evaluation of water quality of Tigris River within Baghdad city area. In the case of Tigris River alternative actions for...

This article presents the development of a decision support system (DSS) for water pollution in Tigris Basin. This DSS is designed to address and support multiple water pollution causes and multiple decision makers, in several places in Baghdad. The evaluation of the DSS discusses the effect of water quality index management on the water pollution....

Cloud computing is everywhere. Pick up any IT focused magazine or visit any IT website or blog and talk about cloud computing will be there. However, it is also a fact that not everyone agrees on what it is and how it can be used. Ask ten different professionals what cloud computing is and you will get ten different answers.in this paper, Investiga...