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Articles 38491 - 38520 of 39880
Full-Text Articles in Entire DC Network
Earth Observations Reveal Impacts Of Climate Variability On Maize Cropping Systems In Sub-Saharan Africa, Adomas Liepa, Michael Thiel, Hannes Taubenböck, Doris Klein, Ingolf Steffan-Dewenter, Marcell K. Peters, Sarah Schönbrodt-Stitt, Insa Otte, Tobias Landmann, Zeyaur R. Khan, Michael Ochieng Obondo, Frank Chidawanyika, Emily A. Martin, Tobias Ullmann
Earth Observations Reveal Impacts Of Climate Variability On Maize Cropping Systems In Sub-Saharan Africa, Adomas Liepa, Michael Thiel, Hannes Taubenböck, Doris Klein, Ingolf Steffan-Dewenter, Marcell K. Peters, Sarah Schönbrodt-Stitt, Insa Otte, Tobias Landmann, Zeyaur R. Khan, Michael Ochieng Obondo, Frank Chidawanyika, Emily A. Martin, Tobias Ullmann
All Peer-Reviewed Publications
In Kenya, climate variability and change threaten smallholder, rainfed farms, with crop failures, yield reductions, and pest infestations. Efficient agroecological strategies, such as Push-Pull intercropping, offer documented benefits including pest control, improved soil fertility, and water conservation compared to traditional maize monocropping. To date, no studies exist comparing traditional maize monocropping and Push-Pull intercropping using earth observation tools over several growing seasons in East Africa. Our research addresses this by harmonizing Landsat 7, 8, 9 with Sentinel-2 remote sensing time series from 2016 to 2023. Phenological metrics of 15 growing seasons are extracted based on a threshold method using the …
Enhancing Intrusion Detection Systems With Adaptive Neuro-Fuzzy Inference Systems, Jitender Sharma, Sonia ., Karan Kumar, Pankaj Jain, Pankaj Jain, Hussein Alkattan
Enhancing Intrusion Detection Systems With Adaptive Neuro-Fuzzy Inference Systems, Jitender Sharma, Sonia ., Karan Kumar, Pankaj Jain, Pankaj Jain, Hussein Alkattan
Mesopotamian Journal of CyberSecurity
Network security has become increasingly critical in recent years. Among the various aspects of network security and considering several approaches to network security, intrusion detection systems (IDSs) have gained considerable attention. The prominence of this factor, among other factors of network security, is due to its ability to address the complex and uncertain nature of security breaches. Whenever data flow over the network, precise categorization of normal and malicious data is necessary. Past IDS systems lack precise categorization. Thus, the present study focuses on the use of the adaptive neuro-fuzzy inference system (ANFIS) as a classifier to categorize network instances …
Encrypting Text Messages Via Iris Recognition And Gaze Tracking Technology, Sura Abed Sarab Hussien, Basim Najim Al-Din Abed, Kamaran Adil Ibrahim
Encrypting Text Messages Via Iris Recognition And Gaze Tracking Technology, Sura Abed Sarab Hussien, Basim Najim Al-Din Abed, Kamaran Adil Ibrahim
Mesopotamian Journal of CyberSecurity
This study explores the integration of eye-tracking technology, specifically the gaze point (GP3) eye tracker, to develop a novel encryption and decryption model that leverages an individual's unique eye patterns as a cryptographic key. This research addresses the critical problem of balancing user-friendly encryption mechanisms with robust security. This study aims to design a gaze-based encryption system that uses the eye's binary matrix as a dynamic encryption key. The methodology involves capturing an eye image, converting it into a binary matrix, and using the extracted matrix to generate a unique iris key (IK) applied to encrypt and decrypt text messages …
A Comprehensive Study Of Energy, Exergy, Exergoeconomic, And Exergoenvironment Analysis Of Combined Cycle Power Plant, Ahmed Sarhan Abdulsitar, Arkan Fawzi Saeed, Hatem Hasan Ismaeel
A Comprehensive Study Of Energy, Exergy, Exergoeconomic, And Exergoenvironment Analysis Of Combined Cycle Power Plant, Ahmed Sarhan Abdulsitar, Arkan Fawzi Saeed, Hatem Hasan Ismaeel
Babylonian Journal of Mechanical Engineering
One of the most effective ways to generate electricity in the thermal power plant is with a Combined Cycle Power Plant (CCPP), which uses both gas and steam turbines to their full potential. This research employs energy, exergy, exergoeconomic, and exergoenvironmental analyses to assess the CCPP performance. Energy analysis indicates the plant's overall efficiency, while exergy analysis identifies losses due to system irreversibilities and proposes methods for enhancement. Exergoeconomic analysis, which integrates thermodynamic and economic factors, quantifies the financial impact of exergy losses and identifies cost-effective improvement strategies. Reducing emissions of pollutants and greenhouse gases is possible through the use …
Design And Fabrication Of An Integrated Solar Still And Uv/Pasteurization System For Domestic Use, Majid H. Ali, D A. Al-Saadi, V V. Ostrikov
Design And Fabrication Of An Integrated Solar Still And Uv/Pasteurization System For Domestic Use, Majid H. Ali, D A. Al-Saadi, V V. Ostrikov
Babylonian Journal of Mechanical Engineering
Water, that miraculous liquid, is the fundamental foundation upon which life on Earth is based. The first human civilizations were founded on water, and wherever water is found, civilization is found. Given the increasing population, rising living standards, and developments that have led to increased water pollution and limited water resources, and given the expected rise in fuel and electricity prices in the future, and to rationalize electricity consumption, the use of solar energy is an effective solution for desalination and sterilization of water.In this research, a solar-powered desalination and sterilization system was designed and manufactured to make water potable. …
Overview Of The Ciciot2023 Dataset For Internet Of Things Intrusion Detection Systems, Wisam Ali Hussein Salman, Chan Huah Yong
Overview Of The Ciciot2023 Dataset For Internet Of Things Intrusion Detection Systems, Wisam Ali Hussein Salman, Chan Huah Yong
Mesopotamian Journal of Big Data
The rapid expansion of the use of the Internet of Things (IoT) has encouraged many attackers to exploit the vulnerabilities in these networks to violate data privacy or disrupt service; they are easy targets due to the diversity of devices within the network, which has led to the loss of unified security standards. intrusion detection system (IDS) play a pivotal role in securing IoT networks by monitoring inbound and outbound traffic to these networks and issuing a security alarm when there is an attack; moreover, they respond directly to these security threats to prevent them from harming the network and …
Coupling A Dual Tree - Complex Wavelet Transform With K-Means To Clustering The Epileptic Seizures In Eeg Signals, Raid Lafta, Rasha Hallem Razzaq
Coupling A Dual Tree - Complex Wavelet Transform With K-Means To Clustering The Epileptic Seizures In Eeg Signals, Raid Lafta, Rasha Hallem Razzaq
Mesopotamian Journal of Big Data
Electroencephalography (EEG) signals are routinely recorded in clinical settings for the diagnosis of epilepsy, that is, brain electrical disorders, by a neurologist. Nevertheless, both the reliability and safety of GB analysis of EEG parameters are not satisfactory. Therefore, identifying the effectiveness of EEG for diagnosis is a considerable challenge for hospitals. This study was conducted to improve the efficiency of detecting epileptic seizures in EEG signals by combining three methodologies: the double tree complex wavelet transform (DT-CWT), K means clustering, and the ChaCha20 encryption algorithm. EEG segments are initially partitioned into regular segments, each of which is further partitioned into …
A Comparative Study Of Rfid System Performance In Large-Scale Network Planning Facility, Ali Abdulqader Al Qisi, Azli Bin Nawawi, Adel Muhsin Elewe
A Comparative Study Of Rfid System Performance In Large-Scale Network Planning Facility, Ali Abdulqader Al Qisi, Azli Bin Nawawi, Adel Muhsin Elewe
Mesopotamian Journal of Big Data
Big data in manufacturing fields present several challenges leads to reduce profitability and missed opportunity for innovation. One of the used strategies is the use of radio frequency identification system. considered a business strategy to increase productivity, speed up decision-making, and enhance production monitoring and control while preserving the structure and integrity of current manufacturing systems. The present research compares five artificial inelegant algorithms based on RFID system in facility layout design to investigate the fitness of each algorithm in manufacturing big data processing. The objective functions have been used are the minimum number of required readers, minimum readers overlap, …
Intelligent Techniques For Autism Spectrum Disorder Diagnosis: A Review, Ekraam Jabier, Ali Fadhil Marhoon, Ammar A. Aldair
Intelligent Techniques For Autism Spectrum Disorder Diagnosis: A Review, Ekraam Jabier, Ali Fadhil Marhoon, Ammar A. Aldair
Mesopotamian Journal of Big Data
Autism spectrum disorder (ASD) is a neurodevelopmental disorder whose prevalence has increased drastically around the world due to the shortcomings of the traditional method of diagnosis, which has been shown to be unsustainable since it is usually time-consuming, expensive, and subjective to clinical interpretation. These difficulties make finding more scalable, efficient, and objective methods of diagnosis incredibly expedient. This review explores the impacts of intelligent technologies such as artificial intelligence (AI), machine learning (ML), deep learning (DL), and Internet of Things (IoT) sensor-supported systems and the revolution they are bringing into the diagnosis of ASD. This work reviews the recent …
Utilizing Graph Theory Algorithms For The Modeling And Analysis Of Covid-19 Infection Dynamics, Ioannis Adamopoulos, Antonios Valamontes, Niki Syrou, Jovanna Adamopoulou, Antonios Bardavouras
Utilizing Graph Theory Algorithms For The Modeling And Analysis Of Covid-19 Infection Dynamics, Ioannis Adamopoulos, Antonios Valamontes, Niki Syrou, Jovanna Adamopoulou, Antonios Bardavouras
Mesopotamian Journal of Artificial Intelligence in Healthcare
The COVID-19 outbreak has shown how urgently good models are needed to understand and project the dissemination of infectious diseases. Graph theory's excellent basis for presenting and analyzing complex networks helps one to grasp COVID-19 transmission dynamics. This work investigates the simulation and evaluation of the COVID-19 spread using multiple graph theory approaches. We utilize algorithms, including centrality assessments, community detection, and epidemic spreading models, to identify significant transmission channels and viable intervention sites; we also study the usage of network-building strategies to show relationships between individuals and communities. By incorporating real-world data with graph-based models, we demonstrate how these …
Parkinson's Disease Detection Using Deep Learning Approach Based On Wearable Sensor-Based Daily Monitoring, Bahaulddin N. Adday, Khalid Shaker, Ihsan Salman, Hothefa Shaker
Parkinson's Disease Detection Using Deep Learning Approach Based On Wearable Sensor-Based Daily Monitoring, Bahaulddin N. Adday, Khalid Shaker, Ihsan Salman, Hothefa Shaker
Mesopotamian Journal of Artificial Intelligence in Healthcare
Parkinson's disease (PD) is a movement disorder characterized by motor dysfunction commonly bradyphemia, tremor, rigidity, akinesia, or slowness of movement. Noting that motor states can fluctuate in PD the primary aim of this current paper was to differentiate multiple states using wearable sensors in the patients and detection of this PD based on deep learning (CNN). Methodology: In this paper, the researchers recorded the signals of the accelerometer and gyroscope fixed on the wrist of PD in their regular daily functioning after using this dataset collection. The deep learning architecture developed was to optimize a CNN for analyzing the sensor …
The Next Frontier In Computer Science, Trends And Research Opportunities, Mostafa Abdulghafoor Mohammed, Z. T. Al-Qaysi, Tahsien Al-Quraishi
The Next Frontier In Computer Science, Trends And Research Opportunities, Mostafa Abdulghafoor Mohammed, Z. T. Al-Qaysi, Tahsien Al-Quraishi
Mesopotamian Journal of Computer Science
No abstract provided.
A Deep Learning Approach For Identifying Malicious Activities In The Industrial Internet Of Things, Mohammed Amin Almaiah, Fuad Ali El-Qirem, Rami Shehab, Khaled Sulieman Momani
A Deep Learning Approach For Identifying Malicious Activities In The Industrial Internet Of Things, Mohammed Amin Almaiah, Fuad Ali El-Qirem, Rami Shehab, Khaled Sulieman Momani
Mesopotamian Journal of Computer Science
Data-driven decision-making, real-time connectivity, and automation have transformed industrial operations with the Industrial Internet of Things. However, the integration also introduces substantial cybersecurity vulnerabilities, making IIoT networks a prime target for malicious activities. Cyber threats are evolving and becoming more sophisticated, which makes traditional security mechanisms inadequate. An approach using deep learning to detect malicious activities in IIoT environments is examined. It is investigated whether Deep Feed Forward neural networks, autoencoders, and convolutional neural networks are effective at detecting anomalies and mitigating cyber threats. NSL-KDD and UNSW-NB15 benchmark datasets are used to evaluate the proposed model's accuracy, precision, and detection …
Woa-Covid-19: Whale Optimization Algorithm For Selection Of Multi-Examination Features Based On Covid-19 Infections, Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Zaid Abdi Alkareem Alyasseri, Dawood Zahi Khutar, Osama Ahmad Alomari
Woa-Covid-19: Whale Optimization Algorithm For Selection Of Multi-Examination Features Based On Covid-19 Infections, Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Zaid Abdi Alkareem Alyasseri, Dawood Zahi Khutar, Osama Ahmad Alomari
Mesopotamian Journal of Computer Science
Since its emergence in late 2019, COVID-19 (Coronavirus Disease 2019) has become one of the most critical global health threats, claiming millions of lives and placing many more at serious risk. The complexity of diagnosing COVID-19 lies in the wide range of clinical and examination features involved, prompting researchers to explore various advanced diagnostic methods. However, one of the main challenges is identifying the most relevant features that can streamline and improve diagnostic accuracy. In this study, we propose a feature selection approach based on the Whale Optimization Algorithm (WOA) to identify key examination indicators associated with COVID-19. We used …
Self-Attention Enhanced Dual Bigru For Arabic Fake News Detection, Baqer M. Merzah, Jafar Razmara, Jaber Karimpour
Self-Attention Enhanced Dual Bigru For Arabic Fake News Detection, Baqer M. Merzah, Jafar Razmara, Jaber Karimpour
Mesopotamian Journal of Computer Science
The rapid proliferation of social media platforms has greatly amplified the dissemination of fake news, representing significant obstacles to public trust and evidence-based decision-making, particularly for the Arabic-speaking population. Meeting the challenge of Arabic fake news detection is a problem compounded by the complex morphological nature of the language, as well as limited resources. This study presents a hybrid deep learning framework that integrates two Bidirectional Gated Recurrent Units (BiGRUs) along with an attention mechanism for efficiently detecting misinformation in Arabic news. The method leverages FastText word embeddings for disambiguating the intricate semantics of the Arabic language. The model is …
Diabetes At A Glance: Assessing Ai Strategies For Early Diabetes Detection And Intervention Via A Mobile App, Ayad Hameed Mousa, Ibrahim Oday Alrubaye, Mayameen S. Kadhim, Ahmed Dheyaa Radhi, Mudatheer M. Al-Slivani, Rusul Mansoor Al-Amri, Liaw Geok Pheng
Diabetes At A Glance: Assessing Ai Strategies For Early Diabetes Detection And Intervention Via A Mobile App, Ayad Hameed Mousa, Ibrahim Oday Alrubaye, Mayameen S. Kadhim, Ahmed Dheyaa Radhi, Mudatheer M. Al-Slivani, Rusul Mansoor Al-Amri, Liaw Geok Pheng
Mesopotamian Journal of Computer Science
Diabetes is a widespread disease worldwide that does not differentiate between children and adults. It also affects the elderly and pregnant women. However, early detection of the disease facilitates its control to avoid the effects resulting from delayed diagnosis. With the emergence of artificial intelligence represented by machine learning techniques and its use in most sectors, accordingly, the adoption of machine learning techniques to help in disease prediction has become a necessity. This study proposes a machine learning algorithm-based approach for diabetes prediction. This study uses three datasets, two of which are private and the other includes the Pima Indians …
Enhancing Routing Efficiency In Vanets By Leveraging 5g To Mitigate Congestion, Yusor Rafid Bahar Al-Mayouf, Omar Adil Mahdi, Heba Hussain Hadi, Suleman Khan, Mazin Abed Mohammed
Enhancing Routing Efficiency In Vanets By Leveraging 5g To Mitigate Congestion, Yusor Rafid Bahar Al-Mayouf, Omar Adil Mahdi, Heba Hussain Hadi, Suleman Khan, Mazin Abed Mohammed
Mesopotamian Journal of Computer Science
Transportation networks impact millions of people daily. Their efficiency immediately affects travel time, safety, and environmental sustainability. Unfortunately, various issues hinder the expected performance and efficiency of these networks. Traffic congestion is an up-to-date issue in the urban environment. Fuel consumption is high because travel time has increased, which has a passive environmental impact. Extensive research has been conducted to progress the intelligent transportation systems installed on communication networks and information to treat this congestion. However, there is a significant amount of affront residue in combining real-time data, estimation analytics, and 5G abilities effectively. This paper offers a novel routing …
Roi – Enhancing Detection Of Citrus Disease Based On Yolov10, Raya N. Ismail, Armaneesa Naaman Hasoon, Israa Rafaa Abdulqader, Salwa Khalid Abdulateef
Roi – Enhancing Detection Of Citrus Disease Based On Yolov10, Raya N. Ismail, Armaneesa Naaman Hasoon, Israa Rafaa Abdulqader, Salwa Khalid Abdulateef
Mesopotamian Journal of Computer Science
One of the most important fruit crops in the world is citrus. However, some citrus diseases spread rapidly, which is why early detection at an accurate stage is important for timely intervention. YOLO-based object detection models, such as the latest YOLOv10, where small lesions are difficult to identify among noisy backgrounds, have recently been developed, yet their accuracy tends to degrade. Therefore, we proposed a citrus disease detection model by integrating the region of interest (ROI) for object segmentation with the YOLOv10 model, thus addressing the issues of low detection accuracy and slow inference time. The proposed model was trained …
Colorado River Insights, 2025: Dancing With Deadpool, Colorado River Research Group
Colorado River Insights, 2025: Dancing With Deadpool, Colorado River Research Group
Books, Reports, and Studies
No abstract provided.
Booklet, "Fifty Years Of Service To Memphis, 1893-1943," Family Welfare Agency Of Memphis, 1943
Booklet, "Fifty Years Of Service To Memphis, 1893-1943," Family Welfare Agency Of Memphis, 1943
Documents
Booklet, "Fifty Years of Service to Memphis, 1893-1943," published by the Family Welfare Agency of Memphis, Inc., illustrated by Mrs. W. H. Reeves, financed by special gifts, 1943.
Pamphlet, "Supplementary List Of Subscribers And Amounts Given To Associated Charities," Memphis, 1917-1918
Documents
Pamphlet, "Supplementary List of Subscribers and Amounts Given to Associated Charities," Memphis, Fiscal Year 1917-1918.
Annual Report, Associated Charities, Memphis, 1916
Annual Report, Associated Charities, Memphis, 1916
Documents
Annual Report of the Associated Charities, Memphis, TN. It covers the time period of 1915 September 1 - 1916 October 16.
Annual Report, Associated Charities, Memphis, 1914
Annual Report, Associated Charities, Memphis, 1914
Documents
Annual Report of the Associated Charities, Memphis, TN. It covers the time period of 1913 September 1 - 1914 September 1.
Annual Report, Associated Charities, Memphis, 1913
Annual Report, Associated Charities, Memphis, 1913
Documents
Annual Report of the Associated Charities, Memphis, TN. It covers the time period of 1912 September 1 - 1913 September 1.
A Structurationally Informed View Of Emergency Medical Services Professionals’ Work-Related Communication And Behaviors While Off Duty, Susan J. Burnett
A Structurationally Informed View Of Emergency Medical Services Professionals’ Work-Related Communication And Behaviors While Off Duty, Susan J. Burnett
Electronic Theses & Dissertations (2024 - present)
Work-life interrelationships and boundaries are common areas of study in communication research. While some scholars maintain that the domains of work and personal lives and their boundaries are static and exist in designated times and spaces, others argue that domains are constructed around situated contexts and through the performance of situated activities that not only produce a time and place for the domain but call upon enactment of an identity appropriate for managing the domain and the boundaries around it. The people who work in emergency medical services (EMS), emergency medical services professionals (EMSPs) face special challenges in managing work-life …
Crises, Coloniality, And Energy Transformations In Puerto Rico, Laura Kuhl, Marla Perez-Lugo, Carlos Arriaga Serrano, Cecilio Ortiz Garcia, Ryan Ellis, Jennie C. Stephens
Crises, Coloniality, And Energy Transformations In Puerto Rico, Laura Kuhl, Marla Perez-Lugo, Carlos Arriaga Serrano, Cecilio Ortiz Garcia, Ryan Ellis, Jennie C. Stephens
Sociology Faculty Publications
Increased attention to inclusive processes is essential to ensure injustices are not perpetuated during energy transitions. Crises, such as the collapse of the electric grid in Puerto Rico after Hurricane Maria, present the promise of opening windows of opportunity for new ideas and voices to inform the future, but they also create opportunities for powerful interests to reinforce existing power dynamics. While coloniality has been recognized as a barrier to sustainable energy transformations, greater integration of the literature on climate coloniality and sustainability transitions is needed. This chapter analyzes visions of the future of the energy system among diverse constituents …
Gen Y More Black Corporate Directors, Chaz Brooks
Gen Y More Black Corporate Directors, Chaz Brooks
Scholarly Articles in Law Reviews & Journals
Corporate diversity has been in the spotlight for decades. Recent efforts have followed years of legal scholarship, arguments on the business rationale for greater diversity, and more recently, the racial unrest during the summer of 2020. Called by some, a “racial reckoning,” the summer of 2020 catalyzed many corporate declarations on the importance of diversity, and more to the point of this article, the necessity of righting the economic disadvantages of Black Americans. This article looks specifically at one intervention by a corporate player following summer 2020, Nasdaq’s volley to increase corporate diversity through required disclosure. This article reviews the …
Fintech And Techno-Solutionism, Hilary J. Allen
Fintech And Techno-Solutionism, Hilary J. Allen
Scholarly Articles in Law Reviews & Journals
Silicon Valley-style technological innovation is ill-suited to addressing complex problems like financial inclusion, concentrated market power, and privacy harms, yet promises abound that “fintech” can fix them. This oversimplified reduction of complex structural problems into technological puzzles is known as “techno-solutionism,” and it poses real dangers for public policy. When we start with the tech industry’s favored tools and then ask how to solve complex problems using those tools – rather than starting by defining the problem to be solved – it can distract policymakers from supporting real, structural solutions. Techno-solutionism can also deter policymakers from interrogating the limitations, and …
Experiential Learning Through Simulations In Fully Online Asynchronous Courses: Exploring The Role Of Self-Debriefing, David De Jong, Sara Dexter
Experiential Learning Through Simulations In Fully Online Asynchronous Courses: Exploring The Role Of Self-Debriefing, David De Jong, Sara Dexter
Research & Publications
Online preparation of professionals is increasing in higher education, which in educational leadership prepa ration programs raises the need for a means to provide authentic simulations of leadership experiences and help aspirants learn from them. This study presents a content analysis of 826 responses from 59 different school leadership students who, following each of the 14 simulations they experienced, wrote one response in an asynchronous format as a form of self-debriefing. The five themes identified map to the four phases of the experiential learning cycle (Kolb, 1984), suggesting that virtual opportunities to practice leadership in tions may serve as grounding …
Setup And Design Of Growstem At Dsu Year One Summary Report, Richard I. Avery, Tom Halverson, Viki Johnson
Setup And Design Of Growstem At Dsu Year One Summary Report, Richard I. Avery, Tom Halverson, Viki Johnson
Grant Reports
GROWSTEM is a DSU scholarship program funded by the National Science Foundations S-STEM program. The goal of the program is for participating scholars to build a sense of belonging through engagement. The program activities designed to accomplish this goal include faculty mentorship, a summer bridge program, study tables and an undergraduate research seminar.