الصفحة 14
الصفحة 14
Design of an administrative building & exhibition center
The building is a multi-story administrative building in Damascus. Designed structurally for vertical and seismic loads. It consists of twelve floors above ground and two basements for parking lots. Alongside it is an exhibition center consisting of three floor.
Design of a residential tower in the city of Damascus (Marota city)
The project is located in Damascus, Mazzeh area, Marota City project. It consists of sixteen residential floors, a ground floor containing halls, offices, and three basements.
Design of a residential tower in Damascus (B131 Marota city)
The project is a residential building consisting of one basement and seventeen floors. The basement includes a car garage and a shelter. The first is a technical floor. The remaining sixtee floors are repeated residential floors.
Design for a concrete residential building in Swaida city
Our project in Sweida city. A concrete residential building consist from ten typical floors with a basement. The structural system to resist earthquakes is shear walls in both directions. All calculations based on the Arab Syrian code.
Design and implementation of an array of patch antenna
Wireless technology is one of the main areas of research in global communication systems today and the study of communication systems is incomplete without an understanding of the process and manufacture of antennas. This was the main reason for choosing this project to focus on this area. This paper presents the design and implementation of an antenna array consisting of 4 patch antenna elements that work on 2.4GHz frequency,the substrate FR4, It was analyzed using HFSS (High Frequency Simulator Structure). In order to achieve a gain of 7 db, and a reflection coefficient of s11 of -10db Then the board was printed And he made measurements in the laboratory on the spectrum analyzer and the kit for the antennas As a result of the measurements, we obtained the antenna gain, the antenna radiation pattern, and the s11
Design a residential building in Damascus
A building which consist of 13 stories (12floors + 1basement), it’s a residential building, The height of each story is 3.3m and the height of the basement is 3.75 m, The height of whole building is 46.8m.
Design a govermental reinforced concrete building in damascus
This calculation sheet is done to study 5 story building by using reinforced concrete, this sheet analysis the building according to horizontal loads and vertical by slabs ripped and solid beams dropped or hidden shear walls and columns stairs and elevators core and as an foundation system this sheet will analysis 3type pad and strip and also a partial rafter. In this build it has a shelter in its basement and it should be surrounded by walls work as rati9ng wall.
Dermatotoxicology & respiratory toxicology = التسمم الجلدي والتنفسي
مصطلح " السم " غالبا يستخدم بالعامية لوصف المادة السامة - سواء كانت مادة آكالة (مخرشة)، أو مسرطنة، أو مطفرة، أو ماسخة، وإشارة إلى التلوث الضار وللتأكيد على مخاطر المواد الكيميائية. ويمكن تلخيص أساسيات علم السموم فيما يأتي: الجرعة /الاستجابة/ التعرض والاختلافات بالآثار الناتجة عن التعرض للخطر لدى الأشخاص. العديد منا يملك حس جيد بأساسيات السموم من خلال تجاربنا مع الكافيين و الكحول أو أي دواء أخر. وقد وجد أن آليات إصابة الجلد والرئتين تشكل سمية حادة أو مزمنة، حيث أن الاستعمال والجرعات المفرطة للمبيدات الحشرية أو الأدوية أو مواد أخرى تستهلك يوميا، يؤدي إلى تحويل هذين الجهازين (الجلدي والتنفسي) إلى بوابات للسمووقد وجد أيضا أن هامش العلاج ضيق جدا واحتمالية الدخول في النافذة السمية سهل جداز سنستعرض هنا أهم الآفات السمية الجلدية والرئوية من حيث آلية حدوثها وطرق علاجها.
Dermatophytes and their pathogeneis = الفطور الجلدية وأمراضيتها
الفطور الجلدية هي فطريات طفيلية تهاجمالجلد وتعتبرسبب شائع للعديد من الالتهابات الجلدية. عادة ما تفضل العيش في المناطف الرطبةوالدافئة، في جسم الإنسان حيث تنموفي ثنايا الجلد مثل ثنايا الأثداء والإبطين وفروة الرأس والأظافر مسببة عدد من الآفات الفطرية الجلدية.
Depression around us
Depression is a serious medical illness. It's more than just feeling of being sad or "blue" for a few days. If you are one the more 19 million teens and adults in the United States who have depression, the feelings do not go away. They persist and interfere with your everyday life. Depression is a disorder of the brain. There with your everyday life. Depression is a disorder of the brain. There are a variety of causes, including genetic, biological, environmental, and psychological factors. Depression can happen at any age, but it often begins in teens and young adults. It is much more common in women. Women can also get postpartum depression after the birth of a baby. Some people get seasonal affective disorder in the winter.
Deepfake detection = اكتشاف التزييف العميق
In the rapidly evolving era of artificial intelligence, addressing the escalating threats of deepfake technology becomes a necessity because of the increasing sophistication of AI algorithms in generating deceptive content, and since it threatens the integrity of information across diverse data. The main objective is to build a sophisticated AI-driven system to detect different types of deepfake in text, audio, and images. In English text deepfake detection, multiple pre-trained tokenizers have been used, but XLNET and BERT stand out with identifying objects outside the dataset with an accuracy of 0.9809 and both have been generalized & trained using LSTM. In Arabic text deepfake detection, Arabert has been trained using LSTM which led with an accuracy of 99.53% by generalizing the model. Both English and Arabic datasets have been generated to enhance the accuracy and effectiveness of the models. Audio deepfake detection has been generalized too, using Random Forest with an accuracy of 98.259%.
Deepfake detection
Recently, various techniques of manipulating the video content have become available to everyone – online, one can find free applications e.g., for face swapping in videos. Such universal accessibility carries a notable risk of flooding online content with false information, affecting not only the greats of this world, but also the whole societies, also the rapid progress in synthetic image generation and manipulation has now come to a point where it raises significant concerns for the implications towards society. It is therefore necessary to develop a verification tool that will help assess the authenticity of the videos posted on the internet. This project describes the approach of using artificial intelligence solutions to detect doctored videos.
Deepfake detection
The rise of large language models (LLMs) and the increasing sophistication of deepfake images have made detecting synthetic content a pressing challenge. Several approaches have been proposed to tackle this problem, including statistical analysis, and machine learning algorithms. In this project, A novel zero-shot approach is proposed that utilizes the power of LLMs to detect fake text. The pre-trained LLM is fine-tuned to enhance its ability to differentiate real and fake text. The approach uses the LLM to detect text by analyzing the log probabilities of the text. For detecting fake images, computer vision algorithms and neural networks are used to analyze facial features. The facial region is cropped and preprocessed and the neural network identifies patterns indicative of synthetic content.
Deepfake
The technology used to create such digital content has quickly become accessible to the masses, such as “DEEPFAKE.” Deep fakes refer to manipulated videos, or other digital representations produced by sophisticated artificial intelligence, that yields to synthesize a sequence of face images and voices of characters corresponding to their identities, such as voice tone, facial expression, with a good lip synchronization. Therefore, this study is about developing real-time video generation software, which generates a target video from a single input image. Several methods and algorithms have been applied to detect, analyze personalize facial expression, voice and natural head poses to present a life-like image instead of a low quality one.
Deep margin elevation
Deep margin elevation (DME) is a minimally invasive and successful procedure for deep subgingival caries. and evidence among practitioners. This review aims to assess the feasibility of DME, current clinical concepts, techniques, and materials for DME, and compare it with traditional techniques for cervical margin relocation while also considering various clinical parameters.
Deep learning methods for converting speech to text = تقنيات التعلم العميق في تحويل الصوت إلى نص
Aims to design and develop a system capable of extracting audio content from films and audio recordings and converting it into text using deep learning techniques. This is done by analyzing audio patterns, extracting sounds and words from the video, and then converting them into written text. Deep learning, a branch of artificial intelligence, is used to accomplish this task. The study also includes comparing different deep learning techniques to determine their effectiveness in this context.
Deep learning approach for text summarization
Machine learning and deep learning, as we know, have started ruling over almost every field in the computing industry and so, has revolutionized the process of text summarization too. Automatic text summarization is an advancing realm of the natural language processing research in which concise textual summaries are generated from lengthy input documents. Extensive research has been carried out on how automatic summarization can be prosecuted through various extractive and abstractive techniques. In this paper, we address all the approaches to text summarization and present the modus operandi of an Architecture called Encoder Decoder, under the machine learning approach.
Deep fake detection
Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances however have also been employed to create software that can cause threats to privacy, democracy and national security. One of those deep learning-powered applications recently emerged is “deepfake”. Deepfake algorithms can create fake images and videos that humans cannot distinguish them from authentic ones. The proposal of technologies that can automatically detect and assess the integrity of digital visual media is therefore indispensable.
Deafness and hearing loss in newborns and children
Hearing loss is one of the most common disabilities and has lifelong consequences for affected children and their families. Consequences of hearing loss in children include worse outcomes in speech, language, education, social functioning, cognitive abilities, and quality of life. Both conductive and sensorineural hearing loss (SNHL) may be caused by a wide variety of congenital and acquired factors. Genetic causes including syndromic and nonsyndromic etiologies...
Dataset Studio
Data is the new oil, which means that AI engineers can face difficulties in locating suitable datasets. Dataset Studio is a comprehensive platform designed to support AI engineers in the creation and optimization of datasets. This project offers a diverse range of services that encompass data collection, data augmentation, and data classification. As a result, this software empowers engineers by automatically generating structured data through the utilization of advanced tools and AI techniques. By automating the laborious tasks of manual data collection and extraction, Dataset Studio effectively streamlines the workflow for AI engineers, enabling them to save valuable time and focus on the more intricate aspects of dataset development and refinement.
