Technology and innovation empower higher educational institutions (HEI) to use different types of learning systems—video is one such system. Analyzing the footprints left behind from these online interactions useful for understanding effectiveness this kind learning. Video-based with flipped teaching can help improve student’s academic performance. This study was carried out 772 examples students registered in e-commerce technologies modules at an HEI. The aimed predict overall performance...

The pollution of soil and aquatic systems by inorganic organic chemicals has become a global concern. Economical, eco-friendly, sustainable solutions are direly required to alleviate the deleterious effects these ensure human well-being environmental sustainability. In recent decades, biochar emerged as an efficient material encompassing huge potential decontaminate wide range pollutants from systems. However, application raw biochars for pollutant remediation is confronting major challenge...

This work explores student's academic performance using decision tree algorithm having parameters like Student's Academic Information and Students Activity. We collected records of 22 students from Spring 2017 semester, studying in undergraduate level Oman's private Higher Education Institution. Proposed utilizes Electronic Commerce Technologies module since it is a core offered every computing specialization. Furthermore, WEKA data mining tool used to evaluate the for discovery along with...

Asthma remains a prevalent chronic condition, impacting millions globally and presenting significant clinical economic challenges. This study develops predictive model for asthma outcomes, leveraging automated machine learning (AutoML) explainable AI (XAI) to balance high accuracy with interpretability. Using comprehensive dataset of demographic, clinical, respiratory function data, we employed AutoGluon automate selection, optimization, ensembling, resulting in 98.99% 0.9996 ROC-AUC score....

Real estate price prediction is crucial for informed decision making in the dynamic real sector. In recent years, machine learning (ML) techniques have emerged as powerful tools enhancing accuracy and data-driven making. However, existing literature lacks a cohesive synthesis of methodologies, findings, research gaps ML-based prediction. This study addresses this gap through comprehensive review, examining various ML approaches, including neural networks, ensemble methods, advanced...

Automated fish species classification is essential for marine biodiversity monitoring, fisheries management, and ecological research. However, challenges such as environmental variability, class imbalance, computational demands hinder the development of robust models. This study investigates effectiveness convolutional neural network (CNN)-based models hybrid approaches to address these challenges. Eight CNN architectures, including DenseNet121, MobileNetV2, Xception, were compared alongside...

In this era of high and fast-moving technology, students are more demanding willing to use innovative learning methods, also, they will be Seeing forward living surviving in the new environment a smart classroom. This subject gives framework clarify how it can utilized institute university campus life improve delivery efficiency everyday activities with consideration social environmental interactions, hence provide not only but likewise, sustainable campus. The internet things (IOT) is able...

This research explores the optimization of firewall systems within private cloud environments, specifically focusing on a 30-day evaluation Omni-Secure Firewall. Employing multi-metric approach, study introduces an innovative effectiveness metric (E) that amalgamates precision, recall, and redundancy considerations. The spans various machine learning models, including random forest, support vector machines, neural networks, k-nearest neighbors, decision tree, stochastic gradient descent,...

Brain tumor detection is crucial for effective treatment planning and improved patient outcomes. However, existing methods often face challenges, such as limited interpretability class imbalance in medical-imaging data. This study presents a novel, custom Convolutional Neural Network (CNN) architecture, specifically designed to address these issues by incorporating techniques strategies mitigate imbalance. We trained evaluated four CNN models (proposed CNN, ResNetV2, DenseNet201, VGG16)...

Higher educational institutes (HEI) are adopting ubiquitous and smart equipment such as mobile devices or digital gadgets to deliver content in a more effective manner than the traditional approaches. In present works, lot of classroom approaches have been developed, however, student learning experience is not yet fully explored. Moreover, module historical data over time considered which could provide insight into possible outcomes future, leading new improvements working an early detection...

Diabetes is a global health challenge that requires early detection for effective management. This study integrates Automated Machine Learning (AutoML) with Explainable Artificial Intelligence (XAI) to improve diabetes risk prediction and enhance model interpretability healthcare professionals. Using the Pima Indian dataset, we developed an ensemble 85.01% accuracy leveraging AutoGluon’s AutoML framework. To address “black-box” nature of machine learning, applied XAI techniques, including...

Business organizations experience cut-throat competition in the e-commerce era, where a smart organization needs to come up with faster innovative ideas enjoy competitive advantages. A user decides from review information of an online product. Data-driven machine learning applications use real data support immediate decision making. Web scraping technologies supplying sufficient relevant and up-to-date well-structured unstructured sources like websites. Machine generate models for in-depth...

The data presented in this article comprise an educational dataset collected from the student information system (SIS), learning management (LMS) called Moodle, and video interactions mobile application “eDify.” dataset, higher institution (HEI) Sultanate of Oman, comprises five modules Spring 2017 to 2021. consists 326 records with 40 features total, including students’ academic SIS (which has 24 features), activities performed on Moodle within outside campus (comprising 10 eDify...

Advancement in computer system hardware makes it difficult to meet the demands of teaching architecture and organization. Visualization different architectures enhances learning process among students by using simulators. This paper attempts give a survey on following simulators (1) Electrical Numerical Integrator Computer (ENIAC) was first electronic digital universal built at Pennsylvania University 1944-1946., (2) The Visible Virtual Machine (VVM) based Little Man (LMC) which is general...

Identifying when anomalous activity is correlated in a distributed system useful for range of applications from intrusion detection to tracking quality service. The more specific the logs, precise analysis they allow. However, collecting detailed logs across can deluge network fabric. We present an architecture that allows fine-grained auditing on individual hosts, space-efficient representation be centrally correlated, and tracing anomalies back files processes system. A key contribution...

This study focuses on student success analysis and prediction modelling improving the quality in terms of teaching, delivery satisfaction. Data mining techniques are used to analyse predict performance specific module or within timeline studies. Supervised learning approach has been adopted with different classification models were tested against dataset distributed over levels specialisations. Student grades online activity management system considered as factors construct classifying...

Today scientific knowledge relentlessly bringing change and comfort in day to life. In Present generation, an autonomous robot has been a popular technology which is widely used many areas. Robots are share the work act more autonomously performing jobs faster than humans. Usually, intelligent with endless energy levels precise handling perfectly. However, proposed design about researching investigating hazardous environments, exploration, remote assistance Military services. given system...

Previous distributed anomaly detection efforts have operated on summary statistics gathered from each node. This has the advantage that audit trail is limited in size since event sets can be succinctly represented. While this minimizes bandwidth consumed and helps scale to a large number of nodes, it limits infrastructure's ability identify source anomalies. We describe three optimizations together allow fine-grained tracking sources anomalous activity Grid, thereby facilitating precise...

Advancement in computer system hardware makes it difficult to meet the demands of teaching architecture and organization. Visualization different architectures enhances learning process among students by using simulators. Rather making a comprehensive simulator that can cater requirement for course, freely available simulators serve purpose as they save time resource, ease use, capacity learn concepts fullest, be accessed anywhere anytime students. Finding appropriate course is task. This...

The study investigates the nature and degree of influence range application usability variables on learning experience students at a specific institution higher education in Oman. was carried out via eDify implementation encompassing students. Literature does little to suggest aforementioned relationship context Omani education. current would reveal that are critical effective technology-based implications generated through allow involved effectively implement required for enhanced teaching...

This review paper provides a comprehensive assessment of scheduling methods for cloud computing, with an emphasis on optimizing resource allocation in computing systems. The PRISMA methodology was utilized to identify 2,487 articles this Following rigorous screening process, 30 papers published between 2018 and 2023 were selected inclusion the review. These analyzed in-depth provide extensive overview current state along challenges opportunities improving allocation. evaluates various...

Nowadays, day-to-day reality is how the development of information, communications and technologies (ICT) growing globalization boost affect all parts our lives. This makes this technique due to fact supply chain or customer service, which part logistics management chain, has emerged as vital factors agency be able in market. Thanks huge advances technology, devices various social networks such Twitter, Facebook number facts produced increases every year. The whole amount information...

National Oceanic and Atmosphere Administration (NOAA) has a group of manmade satellites. These satellites are operated at approximately 137 MHz frequency provide weather data continuously. The also helps humanity in disaster management since the satellite launch. ground stations costly devices which responsible for downloading data. In this research receiver is designed with help Real Tech Software Defined Radio (RTL SDR), Quadrifilar Helicoidal Antenna (QHA) Trifilar Balun. QHA Balun were...