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… and Engineering (CSE), and his supervisor Dr. Tanvir Alam, Assistant Professor, co-created “SoccerNet,” the first deep learning based Artificial Intelligence (AI) based model in the MENA region capable of predicting the result of a … to predict the winning team based on deep learning techniques in any MENA region football league. The proposed machine learning model will support players, coaching staff, and team management in Qatar to focus on specific … to predict the winning team based on deep learning techniques in any MENA region football league. The proposed machine learning model will support players, coaching staff, and team management in Qatar to focus on specific …

… of future research, the availability of big datasets generated through technologies such as artificial intelligence and machine learning is indispensable in helping the field of psychiatry move toward precision and personalized medicine … of future research, the availability of big datasets generated through technologies such as artificial intelligence and machine learning is indispensable in helping the field of psychiatry move toward precision and personalized medicine …

… initiative is Qatar Computing Research Institute (QCRI) at Hamad Bin Khalifa University (HBKU). Combining Human and Machine Intel Mapping Education Insecurity relies on data provided by the Armed Conflict Location & Event Data Project … to emergencies, disasters, and humanitarian crises to assist relief operations. In doing so, the platform uses human and machine intelligence to automatically tag thousands of messages per minute and identifies pertinent reports useful for … a social media collection strategy based on domain-specific keywords. AIDR was then used to train and define machine learning classifiers in Arabic, English and French. After several months of research and development, Mapping Education …

… Egypt. He is an early-career scientist demonstrating excellence in quantum communication, quantum cryptography, quantum machine learning, and cybersecurity research, having published more than 120 research papers with a high impact (over 5,300 … Mansoura University, Egypt 2010 BS in Computer Science Mansoura University, Egypt 2006 Research Interests Quantum machine learning Quantum algorithms Cybersecurity Quantum computing Experience Senior Scientist Qatar Center for Quantum …

… on developing different combinations of agricultural infrastructure and photovoltaic installations and on AIoT and machine learning to enhance crop yield and increase the efficiency of water and energy supply for farmers.  QEERI's research on … on developing different combinations of agricultural infrastructure and photovoltaic installations and on AIoT and machine learning to enhance crop yield and increase the efficiency of water and energy supply for farmers.  QEERI's …

… to the power of collaboration in driving innovation and improving population health and the power of effectively using Machine Learning in Precision Health," said Dr. Bensmail. "By working together, we can harness the strengths of different sectors … to the power of collaboration in driving innovation and improving population health and the power of effectively using Machine Learning in Precision Health," said Dr. Bensmail. "By working together, we can harness the strengths of different …

… was held on November 9, and presented to the audience two COVID-19 prediction models. The first module used a deep learning approach to forecast the cumulative number of cases based on data from countries with similar demographic, … and mobile crowd sensing. He was joined by Dr. Ahmed Ben Said, Data Scientist at Qatar University with an interest in machine learning, computer vision, urban computing and mobile health systems.  During the compelling webinar, they used … the current status of COVID-19. Dr. Erradi highlighted that harnessing the power of data science and recent advances in machine learning can help us achieve a better understanding of COVID-19 outbreak. The trained prediction model allows for …

… of Labor. The job descriptions contain overviews and the tasks inherent to each job. The AI system uses advanced machine-learning techniques to match the jobs and their tasks with relevant AI patents. The more matched patents for a job, the … of Labor. The job descriptions contain overviews and the tasks inherent to each job. The AI system uses advanced machine-learning techniques to match the jobs and their tasks with relevant AI patents. The more matched patents for a …

… the viability of the COVID-19 virus.  Dr. Antonio Sanfilippo explained: “QEERI has recently started a study that uses machine learning methods applied to data from the ongoing pandemic to build computational models of COVID-19 transmission rates … the viability of the COVID-19 virus.  Dr. Antonio Sanfilippo explained: “QEERI has recently started a study that uses machine learning methods applied to data from the ongoing pandemic to build computational models of COVID-19 transmission …

… Koc University, Istanbul, Turkey, in 2005 and 2010, respectively. Dr. Ofli's research interests span computer vision, machine learning, remote sensing, and multimedia signal processing. In recent years, his work has focused on applying deep … Engineering Koc University; Istanbul, Turkey 2005 Research Interests Dr. Ofli's research interests span computer vision, machine learning and multimedia signal processing. His current research focuses on using deep learning techniques on …