Performance of Spatial Distribution Quality by Ordinary Fuzzy Kriging for Soil Properties under Uncertainty by ghanim dhaher, suhaib abd albaqee

“…In conclusion, the improvement does not rely on the statistical methods, but rather higher quality and large data of soil variables should be used to improve the prediction process. All programming computations are carried out in Matlab Language.…”
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Learing Visual Fox Pro Language with Audio, Video and Sharing by Turfa Hamed

“…Recently, the need for learning programs is increased, especially after the fast propagation of computers in different areas and the essential use of computer as an assistant in learning process due to simplicity of this method of learning, and it is not restricted with time for the user. …”
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Optimized hybrid deep learning for cross-linguistic sentiment analysis: a novel approach by Vipin Jain, Lokesh Malviya, Anjana .S

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A Proposed Methodology for Software Engineering of Agent Systems by Asmaa Hammo, Maher Alasaady

“…In recent years, computer systems that make use of software agents are increased, due to the increased size and complexity of these systems, as well as, because the benefits provided by agents to facilitating the developing process and requirements representation for these systems. …”
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Online Face Detection and Recognition in a Video Stream by Maha Hasso Al-Ghurery, Manar Zidan Al-Abaji

“…Faces detection and recognition process received considerable attention during the past decade, it is still considered one of the most important studies in the field of Image Processing, Pattern Recognition, and Computer Vision, where it drew the attention of many researchers from both the academic and industrial environments because of the broad scope of its practical applications. …”
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Face Super Resolution Based on Identity Preserving V-Network by Hüseyin Eski, Ali Hüsameddin Ateş

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Early Prediction of Students’ Performance Through Deep Learning: A Systematic and Bibliometric Literature Review by İhsan Hakan Selvi, Tuğba Yıldız, Orhan Torkul, Ahmet Kala

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Using Ant Algorithm to Find the Optimal Critical Path of a Projects Network by Ziyad Mohammed, Sama Al_Obaidy

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Evaluate and comparission between Software Engineering Methodologies of Agent Systems by Asmaa Hammo, Maher Alasaady

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Hiding Encryption Text by DNA using Exploiting Modification Direction Algorithm by Mohammad Hashim, Melad saeed

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Control System Strategy for Ring Thrower Robot Based on PID-CSA for ABU Robocon 2023 by Aris Budiyarto, Ridwan Ridwan, Rizky Andhika Akbar

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A New Heuristic Procedure for Quadratic Assignment Problems by Najla Al-Saati

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Application of the Genetic Algorithm in the Network Intrusion Detection System Using NSL-KDD Data by Naglaa Ibrahim, Hana Usman

“…With the development of the Internet, technological innovation and the availability of information emerged new computer security threats. The researchers are developing new systems known as Intrusion Detection Systems IDSs for detecting the known and unknown attacks.  …”
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Enhancing Reliability Engineering Through Weibull Distribution in R by Sameera Othman

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Estimate Programmatic Effort using the Traditional COCOMO Model and Neural Networks by Jamal Al-Din Sayed Majeed, Isra Majeed Qabaa

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Control System for U-Arm Robot Arm Movement with Linear Gripper Based on Inverse Kinematic Method by Aditya Putra Perdana Prasetyo, Ikang Rahmatullah, Kemahyanto Exaudi, Rendyansyah Rendyansyah

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LOGISTICS SERVICE INFORMATION SYSTEM AUDIT USING COBIT 5 FRAMEWORK by Husnul Hayat, Samudi Samudi

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Enhancing Cloud-Native Applications: A Comparative Study of Java-To-Go Micro Services Migration by Sairamakrishna BuchiReddy Karri, Chandra Mouli Penugonda, Srujana Karanam, Mohd Tajammul, Srinivasarao Rayankula, Prasad Vankadara

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Modification of Sugarcane Bagasse Fiber into Microfibrils as Composite Materials Reinforcement by Umi Lailatul Jamilah, Elok Hidayah, Sujito

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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Within this framework, prediction models including Linear Regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), Gaussian Process Regression (GPR), and Multi-Layer Perceptron (MLP) were developed, and their performances were assessed using metrics such as accuracy (R²), error rates (RMSE, MSE, MAE), and computational time. …”
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