The Internet of Things (IoT) has significantly transformed modern systems through extensive connectivity but has also concurrently introduced considerable cybersecurity risks. Traditional rule-based methods are becoming increasingly insufficient in the face of evolving cyber threats.  This study proposes an enhanced methodology utilizing a hybrid machine-learning framework for IoT cyber-attack detection. The framework integrates a Grey Wolf Optimizer (GWO) for optimal feature selection, a customized synthetic minority oversampling technique (SMOTE) for data balancing, and a systematic approach to hyperparameter tuning of ensemble algorithms: Random Forest (RF), XGBoost, and CatBoost. Evaluations on the RT-IoT2022 dataset demonstrat

Disease diagnosis with computer-aided methods has been extensively studied and applied in diagnosing and monitoring of several chronic diseases. Early detection and risk assessment of breast diseases based on clinical data is helpful for doctors to make early diagnosis and monitor the disease progression. The purpose of this study is to exploit the Convolutional Neural Network (CNN) in discriminating breast MRI scans into pathological and healthy. In this study, a fully automated and efficient deep features extraction algorithm that exploits the spatial information obtained from both T2W-TSE and STIR MRI sequences to discriminate between pathological and healthy breast MRI scans. The breast MRI scans are preprocessed prior to the feature

Artificial fish swarm algorithm (AFSA) is one of the critical swarm intelligent algorithms. In this
paper, the authors decide to enhance AFSA via diversity operators (AFSA-DO). The diversity operators will
be producing more diverse solutions for AFSA to obtain reasonable resolutions. AFSA-DO has been used to
solve flexible job shop scheduling problems (FJSSP). However, the FJSSP is a significant problem in the
domain of optimization and operation research. Several research papers dealt with methods of solving this
issue, including forms of intelligence of the swarms. In this paper, a set of FJSSP target samples are tested
employing the improved algorithm to confirm its effectiveness and evaluate its ex

The codification of the social history of the city of Baghdad will be filled with an inherited folklore and folklore that has been descended to it from the previous generations with all its tales of folk tales, metaphors, parables, crafts and industries. Immortal

The study consisted of an introduction، two chapters and a conclusion

   The first، tagged topic (: His lineage، birth، and family)، traces the lineage، birth، and family of Abd al-Ilah Hafez.

The second topic، which came under the title (The Role of Abd al-Ilah Hafez in the printing of currency)، was concerned.

 The study relied on a large number of unpublished documents، foremost of which are the documents of the Central Bank of Iraq. It contained a lot of information about its administrative activity، its positions، orders and plans in this direction.

 The House of Books and Documents is considered Al-Manhal، which is indispensable for any research to study the royal his

The codification of the social history of the city of Baghdad will be filled with an inherited folklore that has been descended to it from the previous generations with all its tales of folk tales, metaphors, parables, crafts and industries. Immortal

The study consisted of an introduction، two chapters and a conclusion

   The first، tagged topic (: His lineage، birth، and family)، traces the lineage، birth، and family of Abd al-Ilah Hafez.

The second topic، which came under the title (The Role of Abd al-Ilah Hafez in the printing of currency)، was concerned.

 The study relied on a large number of unpublished documents، foremost of which are the documents of the Central Bank of Iraq. It contained a lot of information about its administrative activity، its positions، orders and plans in this direction.

 The House of Books and Documents is considered Al-Manhal، which is indispensable for any research to study the royal his

In this work, the effect of atomic ratio on structural and optical properties of SnO₂/In₂O₃ thin films prepared by pulsed laser deposition technique under vacuum and annealed at 573K in air has been studied.  Atomic ratios from 0 to 100% have been used. X-ray diffraction analysis has been utilized to study the effect of atomic ratios on the phase change using XRD analyzer and the crystalline size and the lattice strain using Williamson-Hall relationship. It has been found that the ratio of 50% has the lowest crystallite size, which corresponds to the highest strain in the lattice. The energy gap has increased as the atomic ratio of indium oxide increased.

This research after financial ratios in the detection of fraud to the financial statements published which enables specialists from the work of their studies and their conclusions to obtain the information they seek on the activities of the entity. Has provided researchers what these relics They then field study to test the validity and sincerity of the findings of the suggestions that have been upheld the need to study all financial ratios extracted in general, organized and used in decision-making processes necessary administrative.And that the financial management attention more financial analysis and extraction of financial ratios and compare them with industry standards taken from historical norms