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Secure image encryption algorithms received considerable development in cyber securityapplications in the age of digital data. This paper proposes a new hybrid image encryption schemebased on a chaotic system and bit-plane processing. The s
This paper introduces a method for fake accounts detection on social media through machine learning using several classification algorithms and sophisticated feature extraction. Preprocessing steps included dataset integration, feature norm
Abstract: Large Language Model (LLM) chatbots become integral to modern education and performance is increasingly effective by the volatility of real world network environment, while existing evaluations focus on model accuracy or efficie
In this work, we use Krasnoselskii’s Theorem to prove an existence for the solutionsfor delay differentials equation under new sufficient conditions and bounded by decreasingfunctions.:
The purpose of this work is to guarantee that solutions to the first order multiple delay differential equation (FOMDDE) exist that are constrained by new sufficient conditions. The existence of the solution with bounded properties by monot
Overview Stats Citations References (50) Share More New The publisher of your research added a full-text De Gruyter provided the most up-to-date published version of your research. This means: More people can discover an
This paper explores the combined effect of diverse datasets and advanced feature extraction techniques on the performance of email spam detection using unsupervised clustering algorithms Fuzzy C-Means and K-Means. Leveraging the Enron Email
With the increase in fatal accidents in Iraq, they have become a source of concern for both authorities and the public. Therefore, it has become necessary to conduct an analysis of these road accidents. This study aims to provide recomm
data and infrastructure as digital network usage rises rapidly and reliance on technology spreads over all spheres. From distributed denial of service (DDoS) attacks to brute force attacks to long-term targeted attacks (APTs), these attacks
Abstract Distributed Denial of Service (DDoS) attacks have recently emerged as one of the most destructive threats to network systems. This paper aims to develop a technique that efficiently identifies DDoS attacks in networked systems by
Explosive growth in IoT and cloud infrastructures presents significant challenges for data placement across geographically dispersed data centers. Existing placement strategies improve performance but often fall short of substantially reduc
Managing large-scale data in distributed environments is essential for developing the distributed file system (DFS) concept, which ensures reliable, scalable, and fault-tolerant data storage across multiple nodes. In a DFS, DataNodes divide
Abstract: This paper presents a dynamic, energy-aware data distribution and load balancing framework tailored for Software-Defined Networking (SDN)-enabled data centers. The proposed system leverages a novel DAG-Hash mechanism. It is a we
ملخص: تعد القدرات العقلية أحد القدرات المهمة في مجال علوم الرياضة والتي يمكن قياسها وتطويرها عن طريق مجموعة من الاختبارات الخاصة بها وفقا لكل قدرة منها ، فهذه القدرات تقدم للفرد الرياضي معلومات دقيقة وسريعة في أثناء المباريات وتعد الخطوة ال
الذكاء الانفعالي وعلاقته بالأداء الرياضي لدى طلبة كليات التربية البدنية وعلوم الرياضة الملخص العربي يعد الذكاء الانفعالي من أبرز العوامل النفسية التي تؤثر في الأداء الرياضي، إذ يمكن الرياضي من التحكم بانفعالاته، والتعامل مع الضغوط الن
As the number of smart vehicles with advanced communication capabilities increases, the deployment of Roadside Unit (RSU) becomes particularly important in the vehicular ad hoc networks (VANETs). In this work, we take on the difficult probl
الملخص: تتميز الرياضة بتعدد مستوياتها وتنوع ممارسيها واهدافها، وهنا يصبح من الضروري والحيوي الاهتمام بالجانب النفسي للاعبين من اجل مساعدة الفرق على تحقيق نتائج ايجابية. اذ ان ثقة الاعب الواقعية بنفسه تثير العديد من الانفعالات الايجابية لد
