Osamah Ibrahim Khalaf

Nahrain University

Sentiment analysis (SA) is a specialized application within the domain of natural language processing (NLP) used to analyze textual input to identify underlying sentiments, emotions, and attitudes. Recent advancements in machine learning (ML) have demonstrated potential in accurately detecting sentiment in Arabic sentiment analysis (ASA). This pape...

With the exploding number of IoT devices generating vast data volumes, there is a growing risk of significant performance degradation without efficient congestion management. To tackle this challenge, efficient regulation and supervision are essential for managing congestion in IoT networks. This research work introduces a One-Way-Delay (OWD)-based...

The growing prevalence of entities described in multiple languages underscores the importance of achieving cross-language interoperability. To address the semantic disparities inherent in multilingual data, the task of identifying correspondences between heterogeneous entities, known as multilingual entity alignment, becomes crucial. However, due t...

Robust verification protocols are crucial for maintaining the security and reliability of sensitive information due to the increasing complexity of cyber-attacks. This paper introduces a novel 5G Secure Handover Protocol aimed at addressing security and effectiveness issues encountered in existing systems. The proposed protocol is robust against va...

Ontology matching plays a pivotal role in aligning entities across diverse ontologies, enhancing interoperability and data exchange. Similarity features are the foundation of ontology matching, which assess entity similarities from multiple perspectives. Selecting relevant similarity features tailored to specific matching tasks is crucial due to th...

The exponential growth of digital information, particularly user-generated content on social media and blogging platforms, has underscored the importance of sentiment analysis (SA). Arabic language sentiment analysis (ASA) involves identifying the orientation of ideas, feelings, emotions, and attitudes within Arabic text to determine whether they c...

The demands on conventional communication networks are increasing rapidly because of the exponential expansion of connected multimedia content. In light of the data-centric aspect of contemporary communication, the information-centric network (ICN) paradigm offers hope for a solution by emphasizing content retrieval by name instead of location. If...

A R T I C L E I N F O Keywords: Privacy-preserving Semi-sensitive attribute Fuzzy c-means clustering Identity disclosure Attribute disclosure Membership disclosure Data privacy and utility A B S T R A C T Privacy is a significant issue that requires consideration in all applications. Data collected from various individuals and organizations must be...

Diabetes complications are classified as Macro and Microvascular Diseases. Microvascular complications in type 2 Diabetic patients commonly occur as diabetic retinopathy, diabetic neuropathy, and diabetic nephropathy. Therefore detecting these microvascular complications from the clinical dataset is very important. The paper proposed a machine lear...

China ranks 160 out of 180 countries in terms of ecological efficiency, with an EPI score of 28.40 and a 10-year average change in score of 11.40. This article examines the impact of green finance and China’s natural resources on regional ecological efficiency using the Tobit regression model. The study uses the average yearly exchange rate to norm...

The Electroencephalogram (EEG) stands as a burgeoning frontier in the study of neuronal activity, offering a rich tapestry of information crucial for identifying abnormalities and addressing cognitive disorders and irregularities. This paper delves into the examination of EEG from subjects exhibiting abnormalities, contrasting them with those from...

This study introduces the novel concept of m-polar interval-valued fuzzy hypergraph (m-PIVFHG), an advancement that combines the strengths of fuzzy theory and hypergraph models to improve decision-making processes. m-PIVFHGs allow vertices to have degrees of membership across multiple polarities within sub-interval values of [0,1]. This offers bett...

In cases of brain tumors, some brain cells experience abnormal and rapid growth, leading to the development of tumors. Brain tumors represent a significant source of illness affecting the brain. Magnetic Resonance Imaging (MRI) stands as a well-established and coherent diagnostic method for brain cancer detection. However, the resulting MRI scans p...

Biofiltration is a method of pollution management that utilizes a bioreactor containing live material to absorb and destroy pollutants biologically. In this paper, we investigate mathematical models of biofiltration for mixing volatile organic compounds (VOCs) for instance hydrophilic (methanol) and hydrophobic ( $$\alpha$$ α -pinene). The system o...

Increasing electrical energy consumption during peak hours leads to increased electrical energy losses and the spread of environmental pollution. For this reason, demand-side management programs have been introduced to reduce consumption during peak hours. This study proposes an efficient energy optimization in Smart Urban Buildings (SUBs) based on...

The proliferation of smart conurbations entails an efficient system design for managing all the crowds in public places. Multitude controlling procedures are carried out for controlling compact areas where more number of peoples is present at several groups. Therefore for controlling purpose the proposed method aims to design a pictorial representa...

Pulmonary disease identification and characterization are among the most intriguing research topics of recent years since they require an accurate and prompt diagnosis. Although pulmonary radiography has helped in lung disease diagnosis, the interpretation of the radiographic image has always been a major concern for doctors and radiologists to red...

The proposed work contains three major contribution, such as smart data collection, optimized training algorithm and integrating Bayesian approach with split learning to make privacy of the patent data. By integrating consumer electronics device such as wearable devices, and the Internet of Things (IoT) taking THz image, perform EM algorithm as tra...

The proposed work contains three major contribution, such as smart data collection, optimized training algorithm and integrating Bayesian approach with split learning to make privacy of the patent data. By integrating consumer electronics device such as wearable devices, and the Internet of Things (IoT) taking THz image, perform EM algorithm as tra...

The cloud computing sector, including mobile networks has increased in the present time. Because of advanced features and security related information in cloud. So many methods are available for handling these problems. Cloud security, large number of methods existing for provide security. Among that, so many widespread techniques cast-off to prote...

This paper presents a study investigating the performance of functionally graded material (FGM) annular fins in heat transfer applications. An annular fin is a circular or annular structure used to improve heat transfer in various systems such as heat exchangers, electronic cooling systems, and power generation equipment. The main objective of this...

Interactions between individuals and digital material have completely changed with the advent of the Metaverse. Due to this, there is an immediate need to construct cutting‐edge technology that can recognize the emotions of users and continuously provide material that is relevant to their psychological states, improving their overall experience. An...

Background Structural health monitoring (SHM) is a regular procedure of monitoring and recognizing changes in the material and geometric qualities of aircraft structures, bridges, buildings, and so on. The structural health of an airplane is more important in aerospace manufacturing and design. Inadequate structural health monitoring causes catastr...

Banglish slang is a distinctive mashup of Bengali and English terms that is widely used in messaging applications, social media, and other casual contexts. It has grown to be an essential component of Bangladesh's linguistic landscape. The use of Banglish slang in social media comments has become more common among young people from Bangladesh in re...

In the current economic climate, one of the biggest problems facing the agriculture industry is the accurate and real-timeidentification of biotic and abiotic plant stressors that impact crop yield. The upshot is that illness detection models can’t handlethe pressures of practical, real-time use. By stressing the significance of adapting deep learn...

Soil health is essential for whirling stale soil into rich coffee-growing land. By keeping healthy soil, coffee producers may improve plant growth, leaf health, buds, cherry and bean quality, and yield. Traditional soil monitoring is tedious, time-consuming, and error-prone. Enhancing the monitoring system using AI-based IoT technologies for quick...

As the Python ecosystem grows, developers encounter a daunting range of open-source packages, often leading to analysis paralysis. A Python Pip package recommender system is proposed that employs a knowledge network and Natural language processing to make customized suggestions, addressing this problem. The study introduces a system to simplify pac...

In this study, the Chaotic Sinusoidal Map (CSM)-enhanced Zebra Optimization Algorithm (CZOA)is introduced. CZOA combines CSM's integration strengths with ZOA's optimization skills. ZOA already exhibitsgreat optimization capabilities, but the addition of CSM increases its potential even more. This addition greatlystrengthens ZOA's exploration and ex...

Measuring sustainability as an efficient tool to achieve sustainable development and improve economic, social, and environmental aspects is always fraught with complications. Consequently, the identification of a suitable method capable of evaluating and recognizing the strengths and weaknesses across these dimensions is paramount. Given that data...

Design closure and parameter optimisation are crucial in creating cutting-edge antennas. Antenna performance can be improved by fine-tuning preliminary designs created using theoretical considerations and rough dimension adjustment via supervised parameter sweeps. This paper introduces a frequency reconfigurable antenna design that can operate at 2...

COVID Pandemic has brought radical transformations in the personal lives of people, like economic, social, cultural, educational. Among these, e-learning educational transformation is a very crucial paradigm of a learner’s life. This strong inclination of paradigm shift to online education has brought novel changes to the betterment of the educatio...

The federated learning has gained prominent attention as a collaborative machine learning method, allowing multiple users to jointly train a shared model without directly exchanging raw data. This research addresses the fundamental challenge of balancing data privacy and utility in distributed learning by introducing an innovative hybrid methodolog...

Purpose: Decision Science is important in many fields, including education. In the current educational landscape, as educational processes evolve to meet the challenges of the fourth industrial revolution, this study utilizes a well-established impact factor, academic supervision, to enhance teacher performance. The expectations of school principal...

Protecting the mobile cloud computing system from the cyber-threats is the most crucial and demanding problems in recent days. Due to the rapid growth of internet technology, it is more essential to ensure secure the mobile cloud systems against the network intrusions. In the existing works, various intrusion detection system (IDS) frameworks have...

By the calculations of national center for biotechnology information from COVID 19 pandemic, number of meningioma tumor patients are increasing in world. Identifying the meningioma tumor and its position in brain is not easy task by using deep neural networking based medical imaging. But it is needed to identify meningioma tumors in brain by using...

In wireless sensor networks, the available bandwidth is considered one of the most important technique to select the best route and send data safely. The current paper suggest an algorithm which is used to send data over WSN by suggesting an algorithm namely, Enhanced Bandwidth Prediction (EBP) algorithm, which is employed to choose the route with...

In recent days, with the rapid advancement of technology in informatics systems, the Internet of Things (IoT) becomes crucial in many aspects of daily life. IoT applications have gained popularity due to the availability of various IoT enabler gadgets, such as smartwatches, smartphones, and so on. However, the vulnerability of IoT devices has led t...

Diagnosing and treating newborn seizures accurately and promptly is crucial for providing the best possible care for these patients. For the purpose of intelligently identifying newborn seizures, this work introduced a unique method that uses spectral and spatial graph neural networks (SSGNNs) optimized with the Aquila algorithm. Using electroencep...

In the realm of high-performance computing (HPC), large-scale matrix computations are fundamental to a myriad of scientific and engineering applications, from simulations in physics and engineering to data analysis in machine learning. This paper addresses the critical need for efficient and scalable algorithms capable of handling the growing compu...

In the realm of high-performance computing (HPC), large-scale matrix computations are fundamental to a myriad of scientific and engineering applications, from simulations in physics and engineering to data analysis in machine learning. This paper addresses the critical need for efficient and scalable algorithms capable of handling the growing compu...

p>By the calculations of national center for biotechnology information from COVID 19 pandemic, number of meningioma tumor patients are increasing in world. Identifying the meningioma tumor and its position in brain is not easy task by using deep neural networking based medical imaging. But it is needed to identify meningioma tumors in brain by usin...

The intelligent buildings provided various incentives to get highly inefficient energy-saving caused by the non-stationary building environments. In the presence of such dynamic excitation with higher levels of nonlinearity and coupling effect of temperature and humidity, the HVAC system transitions from underdamped to overdamped indoor conditions....

A R T I C L E I N F O Keywords: Visible Light Communication (VLC) Reverse Polarity OFDM Berlekamp-Massey algorithm (BMA) signal to noise ratio (SNR) bit error rate (BER) A B S T R A C T The radio frequency spectrum, which has been steadily getting smaller, is under pressure from growing cellular data traffic. A more dependable communication channel...

The crucial aspect of the medical sector is healthcare in today's modern society. To analyze a massive quantity of medical information, a medical system is necessary to gain additional perspectives and facilitate prediction and diagnosis. This device should be intelligent enough to analyze a patient's state of health through social activities, indi...

Antenna selection is a decision-making problem involving multiple factors, some of which may be at odds. This study aimed to develop a model for optimizing the design process for GSM mobile phone antennas. A 3.5GHz and 5.5GHz on-chip circularly polarized (C.P.) artificial magnetic conductor (AMC) based V-shaped stepped multiband 25x25mm 2 antenna h...

Purpose: The objective is to employ a stochastic model to develop a new technical analysis indicator that could compute the variation of any index. We demonstrate the superiority and applicability of our proposed model and show that our proposed indicator could help investors and market analysts to anticipate the market trend in the short term and...

Cancer subjugates a community that lacks proper care. It remains apparent that research studies enhance novel benchmarks in developing a computer-assisted tool for prognosis in radiology yet an indication of illness detection should be recognized by the pathologist. In bone cancer (BC), Identification of malignancy out of the BC's histopathological...

For any structures, Reinforced concrete (RC) columns are the utmost carping members. RC columns jacketed with CFRP membrane enhance resistance, deformation aptitude, and the auspicious confining impacts. Sundry scrutiny has been implemented about circular columns wrapping or veiled with CFRP layers. This scrutiny will manifest about Genetic Program...

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For Orthogonal Frequency Division Multiplexing (OFDM) systems, the most significant problem is the peak-to-average power ratio. The utilisation of partial transmission sequence, often known as PTS, is an efficient method for reducing PAPR. When it comes to minimizing the peak-to-average power ratio (PAPR) in Orthogonal Frequency Division Multiplexi...

Purpose: Many studies have analyzed the impact of terrorism on economic growth, but the terrorism-innovation nexus is very rare in academic literature. Hence, this study aims to theoretically and empirically examine the effect of terrorism on innovation activity. Study design/methodology/approach: We employ OLS, system GMM, and quantile regression...

Combining the concepts of text-to-speech (TTS) with optical character recognition (OCR) is emerging nowadays in various application. This framework enables visually impaired people to effectively connect with computers using a speech interface. It's a text-to-speech programme that scans more than 38 languages and numbers in an image and converts th...

Task scheduling in cloud paradigm brought attention of all researchers as it is a challenging issue due to uncertainty, heterogeneity, and dynamic nature as they are varied in size, processing capacity and number of tasks to be scheduled. Therefore, ineffective scheduling technique may lead to increase of energy consumption SLA violations and makes...

With the increase in the total installed capacity, the photovoltaic (PV) module faces problems, including decreased output power, hot spots, and decreased investment rate for outdoor works. It has raised new challenges for the development of PV technology. Therefore, the reliability issue between the increasing power demand and the power generation...

The degradation of plastic waste has become a critical environmental issue, and microbial degradation is an effective method to address this problem. Cytochrome P450 is a highly efficient enzyme for degrading various pollutants, including plastic, due to its broad substrate specificity. This study aimed to predict the degradation potential of cytoc...

Recently, various methods have been developed to identify COVID-19 cases, such as PCR testing and non-contact procedures such as chest X-rays and computed tomography (CT) scans. Deep learning (DL) and artificial intelligence (AI) are critical tools for early and accurate detection of COVID-19. This research explores the different DL techniques for...

Blockchain is a decentralized architecture with built-in security to improve the trust and integrity of transactions. Blockchain can facilitate authentication and authorization without utilizing any trusted authority. There is no single authority that governs how the rules will be applied. Anyone is free to join the public blockchain network. Bitco...