The study aimed to evaluate the effectiveness of Anomaly Detection techniques in detecting electrical power theft within Smart Grid environments by comparing the performance of Isolation Forest and Autoencoder models using ...

Modern digital infrastructure relies heavily on continuous server availability, yet traditional monitoring tools remain largely reactive, relying on static thresholds that generate excessive false alerts and often miss ...

Traditional waste collection methods often result in inefficient collection schedules, increased operational costs, and environmental pollution. To address these challenges and enhance waste management, this project proposes ...

Automatic monitoring of preventive health measures in crowded public environments presents a significant challenge, particularly regarding mask compliance and social distancing enforcement. This study introduces an intelligent ...

يتناول هذا البحث بالدراسة والتحليل المنهج العقدي والعلمي للإمام أنور شاه الكشميري في كتابه "إكفار الملحدين في ضروريات الدين"، بوصفه أحد أهم المؤلفات التي واجهت نزعات الإلحاد والإنكار في الفكر الإسلامي الحديث. ويهدف هذا ...

شهدت الأسر المعاصرة ارتفاعاً ملحوظاً في معدلات الخلافات الزوجية والتفك الأسري مما أدى إلى زيادة نسب الطلاق وتفك الروابط الأسرية، الأمر الذي يستدعي الرجوع إلى المنهج النبوي كحل جذري لهذه الأزمة. وتهدف هذه الدراسة إلى استجلاء ...

This study investigates energy consumption in office buildings, which are among the most energy-intensive building types and significantly contribute to overall energy demand and associated environmental impacts. The ...

Crop diseases threaten global food security, requiring rapid and accurate detection to maintain agricultural productivity. Traditional methods for monitoring crop health are costly and inefficient. This research explores ...

Fire detection is vital for safeguarding both the environment and human life, however, conventional fire detection methods, such as temperature and smoke sensors, often face inherent limitations. The machine learning models, ...

Internet of Underwater of Things (IoUT) networks offer real-time monitoring and data collection capabilities in marine environments for many application. However, the unique challenges of underwater acoustic communication ...