Search

Your search keyword '"Ahmadi, Sajjad"' showing total 23 results
Start Over Author "Ahmadi, Sajjad" Search Limiters Available in Library Collection
23 results on '"Ahmadi, Sajjad"'

4. PERSIAN traffic safety and health cohort: a population-based precrash cohort study

Author

Golestani, Mina, primary, Razzaghi, Alireza, additional, Rezaei, Mehdi, additional, Vahedi, Leila, additional, Pourasghar, Faramarz, additional, Farahbakhsh, Mostafa, additional, Shafiee-kandjani, Alireza, additional, Meshkini, Mohammad, additional, Jahanjoo, Fatemeh, additional, Yazdani, Mir Bahador, additional, Davtalab Esmaeili, Elham, additional, Jafari-Khounigh, Ali, additional, Ahmadi, Sajjad, additional, Mohammadi, Reza, additional, Ghojazadeh, Morteza, additional, and Sadeghi-Bazargani, Homayoun, additional

Published
2024
Full Text
View/download PDF

10. Evaluating the Causes and Consequences of Leaving the Hospital With Personal Consent in Patients of the Emergency Department.

Author

Abbasi, Mohammad, Ahmadi, Sajjad, Nia, Babak Farzin, and Aghaali, Mohammad

Subjects
*INFORMED consent (Medical law), *HOSPITAL emergency services, *HOSPITALS, *STATISTICAL software, *INFERENTIAL statistics
Abstract

Background: Studies show that leaving the hospital with personal consent is increasing. This phenomenon has unpleasant and sometimes irreversible consequences. This study aims to investigate the causes and consequences of leaving the hospital with the personal consent of patients referred to the emergency department of hospitals affiliated with Qom University of Medical Sciences in 2021. Materials and Methods: In this descriptive-analytical study, 345 patients were selected who, with personal consent, left the emergency department of selected hospitals affiliated with Qom University of Medical Sciences in 2021. The study data were collected via a questionnaire and a checklist. The questionnaire comprised demographic variables, patientrelated factors, personnel-related factors, and hospital-related factors. The checklist of the consequences included questions about leaving the hospital with personal consent. The data were analyzed using descriptive and inferential statistics in SPSS software, version 20. Results: Of 345 patients included in the study, 55.9% were male and the mean age of patients was 47.1 years. The most important reasons for leaving the hospital with personal consent were as follows: personal reasons (22.9%), fear of continuing treatment (11.9%), preference to continue the treatment in other medical centers (9.3%), the suggestion of other hospital staff (35.1%), not having the desired doctor (27%), nurses' suggestion (19.4%), lack of care (20.4%), and inadequate hospital space and facilities (14.0%). The consequences of leaving the hospital with personal consent in this study included re-admission and hospitalization (10.3%), mortality (3.4%), heart disease (0.87%), and mental disorders (0.57%). Conclusion: After identifying the reasons for leaving the hospital with personal consent and highlighting the irreparable human and financial consequences, these causes should be eliminated to prevent irreparable and unfortunate consequences. Such causes include personal reasons, fear of continuing the treatment, and lack of care. Fixing the causes requires proper planning and effective actions. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

13. A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies

Author

Rabbani, Mahdi, Wang, Yongli, Khoshkangini, Reza, Jelodar, Hamed, Zhao, Ruxin, Bagheri Baba Ahmadi, Sajjad, Ayobi, Seyedvalyallah, Rabbani, Mahdi, Wang, Yongli, Khoshkangini, Reza, Jelodar, Hamed, Zhao, Ruxin, Bagheri Baba Ahmadi, Sajjad, and Ayobi, Seyedvalyallah

Abstract

Network anomaly detection systems (NADSs) play a significant role in every network defense system as they detect and prevent malicious activities. Therefore, this paper offers an exhaustive overview of different aspects of anomaly-based network intrusion detection systems (NIDSs). Additionally, contemporary malicious activities in network systems and the important properties of intrusion detection systems are discussed as well. The present survey explains important phases of NADSs, such as pre-processing, feature extraction and malicious behavior detection and recognition. In addition, with regard to the detection and recognition phase, recent machine learning approaches including supervised, unsupervised, new deep and ensemble learning techniques have been comprehensively discussed; moreover, some details about currently available benchmark datasets for training and evaluating machine learning techniques are provided by the researchers. In the end, potential challenges together with some future directions for machine learning-based NADSs are specified., Funding: This article has been awarded by the National Natural Science Foundation of China (61941113, “The theory and method of privacy protection and data security sharing of mobile users”), Nanjing Science and Technology Development Plan Project (201805036, “Research and industrialization of IOT service platform for assured fresh agricultural products”).

Published
2021
Full Text
View/download PDF

20. Blind linear correlation technique for image watermarking

Author

Bagheri Baba Ahmadi, Sajjad, Zare Hassanpour, Reza, and Bilgisayar Mühendisliği Anabilim Dalı

Subjects
Computer Engineering and Computer Science and Control, Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol
Abstract

Dijital ortamda, değişim, güncelleme, dağıtım ve dijital veri depolaması çok kolaylıkla yapılmaktadır, aynı şekilde dijital verilerin kötüye kullanımı çoğalmıştır. Dijital veri Mülkiyet hakları kanıtlamak ve Manipülasyon ve dijital verilerin yetkisiz kullanıcılar tarafından önlemek için bir yöntem gerekmektedir. Bu güvenlik gereksinimleri gerçekleştirmek için Watermarking yöntemleri tanımlanmıştır ve tüm 3 form medyada örneğin: video, müzik ve fotoğrafta uygulanmaktadır. Bu tez, kör doğrusal ilişki tekniğini fotoğraf Watermarking üzerinde test etmek amacıyla yapılmıştır, Stirmark benchmark'ın 4 üncü versiyonu 16 tür deney içermektedir. Örneğin saldırı ve çarpıtma görüntü işlemede bilinmektedir. Deneme Watermark olmuş fotoğrafların üzerinde kör doğrusal ilişki tekniğini ile uygulandı. Bu tezde, elde edilen deneme sonuçları analiz ve tartışılmıştır. In digital environment, make, change, update, distribute and store digital data are convenient, therefore as much abuse of digital data is added. This calls for a method to prove the ownership right on digital contents and to avoid unauthorized users to tamper and distribute digital data. Thereby to achieve this security requirement, watermarking schemes are introduced that have applications in all three forms of media, i.e., video, music and image. This thesis aims to test blind linear correlation technique by Stirmark benchmark 4.0 that contains sixteen different tests, such as attacks and distortions which are well-known in image processing. Those tests are applied on the images which are watermarked by blind linear correlation technique. In this thesis, results of this experiment are discussed and analyzed. 100

Published
2014

Catalog

Books, media, physical & digital resources
See catalog results