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Negotiation agent
Negor is an eCommerce AI chatbot that increases sales by engaging with the user much like a salesperson when you walk into a store. This conversational eCommerce approach allows companies to overcome sales obstacles, recommend products for cross- or up-sells, and reduce support tickets all while being available 24/7. E-commerce is a way to make the customers' buying experience more seamless and interactive while helping to offer bargaining features, which are familiar in traditional stores. In addition, the Chatbot is used to negotiate the best price for the customer and the best deal for the seller.
Multiscale processes in the earth’s magnetosphere : From interball to cluster ; Proceedings of the NATO ARW on Multiscale Processes in the Earth's Magnetosphere: From Interball to Cluster, Prague, Czech Republic from 9 to 12 September 2003
The past forty years of space research have seen a substantial improvement in our understanding of the Earth’s magnetosphere and its coupling with the solar wind and interplanetary magnetic ?eld (IMF). The magnetospheric str- ture has been mapped and major processes determining this structure have been de?ned. However, the picture obtained is too often static. We know how the magnetosphere forms via the interaction of the solar wind and IMF with the Earth’s magnetic ?eld. We can describe the steady state for various upstream conditions but do not really understand the dynamic processes leading from one state to another. The main dif?culty is that the magnetosphere is a comp- cated system with many time constants ranging from fractions of a second to days and the system rarely attains a steady state. Two decades ago, it became clear that further progress would require multi-point measurements. Since then, two multi-spacecraft missions have been launched — INTERBALL in 1995/96 and CLUSTER II in 2000. The objectives of these missions d- fered but were complementary: While CLUSTER is adapted to meso-scale processes, INTERBALL observed larger spatial and temporal scales. However, the number of papers taking advantage of both missions simul- neously is rather small.
Misinterpretations about Covid-19 vaccines
Immunization has become a vital part of public health and disease prevention, yet remain Vaccination is the most effective medical intervention ever a controversial topic. introduced, it has eliminated a large part of the infectious diseases that once killed millions of people. Recently, a number of effective vaccines have been manufactured and proved to be effective against the virus, but a rising incidents was observed of refusing people to take COVID-19 (SARS-CoV-2) vaccine because of the wrong myths they hear about the vaccine or its existing and non-existing side effects. The purpose of this research is to clarify information and remove vagueness about the vaccines and definitively convert fake concepts into facts by answering questions in a scientific method.
Intraoperative complications in dental implants
Examines intraoperative complications associated with dental implant surgery, a critical and under-researched area in dental practice. The study focuses on identifying the most common intraoperative complications, their potential causes, and dental surgeons' strategies to manage these issues effectively. Through a comprehensive review of recent literature and a series of case studies, this research identifies specific risk factors and procedural challenges that lead to complications during the surgical phase of implant placement. Additionally, the thesis proposes a set of guidelines aimed at minimizing the occurrence of these complications.
Intelleger = انتليجر
The project management system is a web application designed to assist software managers in efficiently managing their projects, including websites, mobile apps, and other software initiatives. Utilizing artificial intelligence, the application streamlines project creation and management processes, offering significant benefits in terms of organization and accuracy. Managers can create projects by inputting essential details such as the name, scope, deadline, and tasks. The system generates AI-based functional and non-functional requirements tailored to the project scope using gpt2 model on Pure dataset. Managers can then review and edit these requirements as needed before finalizing the project. The application facilitates comprehensive task management by allowing managers to assign tasks to developers, edit task details, and ensure task deadlines align with project deadlines. Developers can log their start and end times automatically when they begin and complete tasks, providing accurate time tracking and performance analysis.also they can use code generation model to generate their task’s code using codebert model on concode and codesearchnet dataset Real-time notifications keep both managers and developers informed of task assignments, completions, and other critical updates.
Hydromagnetic Waves in the Magnetosphere and the Ionosphere
The book deals with Ultra-Low-Frequency (ULF)-electromagnetic waves observed on Earth and in Space. This book integrates topics pertaining to all scales of the MHD-waves, emphasizing the linkages between the ULF-waves below the ionosphere on the ground and magnetospheric MHD-waves.
High energy density laboratory astrophysics
During the past several years, research teams around the world have developed astrophysics-relevant utilizing high energy-density facilities such as intense lasers and z-pinches. Research is underway in many areas, such as compressible hydrodynamic mixing, strong shock phenomena, radiation flow, radiative shocks and jets, complex opacities, equations o fstat, and relativistic plasmas. Beyond this current research and the papers it is producing, plans are being made for the application, to astrophysics-relevant research, of the 2 MJ National Ignition Facility (NIF) laser at Lawrence Livermore National Laboratory; the 600 kj Ligne d'Intergration Laser (LIL) and the 2 MJ Laser Megajoule (LMJ) in Bordeaux, France; petawatt-range lasers now under construction around the world; and current and future Z pinches.
High energy density laboratory astrophysics
This work will be of interest to a wide range of academics. It provides a comprehensive round-up of the proceedings and papers delivered at the 2006 Conference on High Energy Density Laboratory Astrophysics, held at Rice University in Houston, Texas, USA.
Genome Editing : Gene Therapy or Gene Optimization?
Genome editing technology is considered one of the most revolutionary techniques lately. The ability of modifying the human genome has been one of the biggest dreams for therapist for the reason that the genetic modification with exogenous DNA can be considered a problem solver for many diseases and disorders (genetic disorders), especially those with high risks and low survival rates, on this case, gene therapy appears as the tool to be used, with its many protocols and approaches. Gene therapy is based on delivering a therapeutic gene throw suitable vectors, which is most of the time-modified viruses to carry the therapeutic genes to the target cells and so on providing the functional copy of the defective gene.
Generative adversarial text to image synthesis
Synthesizing high-quality images from text descriptions is a challenging problem in computer vision and has many practical applications. Samples generated by existing text-to-image approaches can roughly reflect the meaning of the given descriptions, but they fail to contain necessary details and vivid object parts. In order to make the project more specialized, it was approved that the project be dedicated to fashion image generation, we present an effective approach for generating new clothing through generative adversarial learning. Generative Adversarial Networks (GANs) successfully show the capability of synthesizing sharper images compared to other generative models.
Fadfada
Sharing personal problems and true feeling on social media has a lot of fears and is not likable nowadays, because of bullying, shaming, and making fun of the user by other users, Fadfada is a multi-platform social networking service, that aims to give the users the ability to share their problems or feeling via written newsfeed (posts) or videos (stories) that had an impact on their psychological health without revealing their true identity, by putting a mask on their faces and changing their voices after recording the story. In addition to extracting features from posts and stories to match users based on it.
Eunoia
Eunoia is a motion graphic studio & animation service. We provide multiball style design and we have the ability to take your ideas and make them into motion; we even help you solve the puzzle in your head to find the idea you like and bring it to live.
Enhancing the Dissolution Rate of Atorvastatin by Solid Dispersion Technique
In the last few decades, solid dispersion (SD) technology had been studied as an approach to produce an amorphous carrier to enhance the solubility, dissolution rate, and bioavailability of poorly water-soluble drugs. The use of suitable carrier and methodology in the preparation of SDs play a significant role in the biological behavior of the SDs. Atorvastatin is a statin group HMG-CoA reductase inhibitor drug that is commonly used to adverse cardiovascular events and to lower blood total cholesterol and LDL-cholesterol. the solubility of atorvastatin in water is very low (0.1 mg mL− 1), which results in reduced bioavailability. In order to enhance its solubility, we have prepared solid dispersions (SDs) of atorvastatin at different drug: polymer ratios (1:2, 1:10, 1:20,1:25 and 1:40), using polyethylene glycol 6000 as polymer and different preparation methods (co-precipitate and melting methods) The characterization of the SDs was performed using differential scanning calorimetry (DSC), Fourier transform infrared spectroscopy (FTIR) The solubility of AT was improved by the incorporation PEG6000.
Electronic house finder
One of the most practical ways to help the Syrian citizens search for suitable and affordable houses is to build an android application for selling, buying and renting houses. This application will ease the process of searching for houses as a whole, and will benefit real estate business owners by enabling them to spread their houses’ offers online. Through exploiting the advantage of the recent wide usage of mobile-based applications by the majority of the Syrian people, we can create an application in which the users are able to post house offers, post specified orders, view posted houses details, and filter their search according to many features (i.e., price and area).
Earthquake alert with smartwatch = تنبيه الزلازل باستخدام الساعة الذكية
After the recent events and earthquakes that affected the region, resulting in the deaths of many individuals due to the lack of timely emergency response, the idea for this project emerged Earthquake Alert with Smartwatch. Initially, our application gathers information about the user, such as age, family members, and any existing medical conditions. In the event of an earthquake, the application sends an alert to the user. It receives earthquake information, such as ‘magnitude, time, location…’ from United States Geological Survey “USGS” through an API. If the user is within the geographical area affected by the earthquake, the application will assist the Smartwatch in calculating vital signs such as ‘heart rate and blood pressure’. Additionally, there is another artificial intelligence model that receives the user's audio recordings and converts them into written texts. All this information, along with the user's geographical location, will be sent to the nearest emergency point for the purpose of aiding those individuals trapped under the rubble.
Dr.phone
Dr phone is a software system that helps in talking with the doctor automatically and easily without the need to go to the doctor's clinic to diagnose the patient's condition. our application presents an available platform to make a video call between the doctor and the patient according to the patient’s needs. The system accepts the patient’s request after choosing an available doctor andthen waits for the doctor to accept his request, if there is no doctor available, the system performs an AI chatbot to the patient's need to give him the appropriate diagnosis. when the call finished the doctor represents medical record including the medicine and the analytics and record the next appointment if it’s needed then send them to the patient's email, the patient also can see the nearest pharmacies or labs according to his location, and finally the patient rates the doctor after the call is finished then payment by his available wallet.
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.
Content based social platform optimization “Fashion Platform"
The purpose of this project is to design a platform that concentrates on Fashion in addition to assisting users with gathering an informative feedback, as well as linking local stores to those users. This platform will be delivered as a mobile application that is available to any user who is interested in expressing and sharing his/her prevailing taste in fashion simply by posting photos, interacting with other people’s posts and leaving comments for them. The app will also provide some features in an attempt to push the users to be more enthusiastic and to be more encouraged about trying and continuously using this app. Moreover, this platform will incorporate a Shop section, which will be the actual local stores that are connected to it, so the user can buy an item that he/she is fond of.
