Facial Recognition Databases: Recent Developments and Review of Methods by Waleed Ayad, Siraj Qays, Asanka G. Perera, Ali Al-Naji

“…There is a fundamental relationship between the development of facial recognition algorithms and the possibility of the existence of databases of different faces that influence the appearance of the face in a constrained manner. …”
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Experimental verification of a methodology for Monte Carlo modeling of multileaf collimators using the code Geant4 by Alex Cristóvão Holanda de Oliveira, José Wilson Vieira, Miriam Zarza Moreno, Fernando Roberto Andrade Lima

“…Among the many algorithms developed for evaluation of dose distributions in radiotherapy, the Monte Carlo methods provide more realistic results. …”
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Automatic Speech Recognition For Voip With Packet Loss Concealment by Adil Bakri, Abderrahmane Amrouche, Mourad Abbas, Lallouani Bouchakour

“…These decoders have enough state information to integrate PLC algorithms directly in the decoder, and are specified as part of their standards in particular by PLC based ITU-T G711 Appendix I. …”
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DC MOTOR ANGULAR POSITION CONTROL SYSTEM USING ARDUINO PLATFORM by Dragos-Ioan Matei, Alexandru Negroiu, Gabriela Bucur

“…This technical solution, using PID controller, can be applied for robotic arm position control system and many other industrial applications.…”
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Comparison of Innovative Strategies for the Coverage Problem: Path Planning, Search Optimization, and Applications in Underwater Robotics by Ahmed Ibrahim, Francisco F. C. Rego, Éric Busvelle

“…In many applications, including underwater robotics, the coverage problem requires an autonomous vehicle to systematically explore a defined area while minimizing redundancy and avoiding obstacles. …”
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From Rough Mereology to Robust Navigation: Expanding Mobile Robot Strategies with Diverse Maps and Enhanced Goal–Targeting Mechanisms by Szpakowska Aleksandra, Artiemjew Piotr, Cybowski Wojciech

“…To this end, we are preparing and testing our own library for controlling mobile robots, improving the real-time path planning capability and implementing a set of algorithms for practical testing.…”
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Develop Approach to Predicate Software Reliability Growth Model Parameters Based on Machine learning by anfal A. Fadhil, Asmaa’ H. AL_Bayati, Ibrahim Ahmed Saleh

“…The parameters are evaluated using three algorithms: machine learning decision tree (DT), support vector machine (SVM), and K-nearest neighbors (K-NN). …”
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A Review: Obstacle Perception Based on Panoramic Vision in Low-altitude Rotorcraft UAVs by Jiang Xiaoyan, Khairul Hamimah Abas, Abdul Rashid Husain

“…In recent years, Low-altitude Rotorcraft Unmanned Aerial Vehicles (UAVs) have shown great potential in many tasks, such as aerial mapping, search and rescue, plant protection, and more. …”
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Modeling financial market dynamics with the use of fuzzy by K. A. Polekhina, G. Eu. Polekhina

“…Fuzzy mathematics is a   branch of   mathematics that studies methods and algorithms for dealing with fuzzy data and fuzzy objects. …”
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A new numerical method for processing longitudinal data: clinical applications by Ilaria Stura, Emma Perracchione, Giuseppe Migliaretti, Franco Cavallo

“…Background: Processing longitudinal data is a computational issue that arises in many applications, such as in aircraft design, medicine, optimal control and weather forecasting. …”
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Prevention of Imported Infectious Diseases in Travelers by A. A. Erovichenkov, N. N. Zvereva, M. A. Sayfullin, N. V. Okolot

“…The analysis of the risks of development of certain infectious diseases in travelers has been carried out. Modern algorithms of vaccination before journeys are considered. …”
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Pilot-Less Time Synchronization for OFDM Systems: Application to Power Line Receivers by Aris S. Lalos, Athanasios Vgenis, Fotios Gioulekas, Michael Birbas

“…More importantly, they focus on isolated algorithms for compensating either time or frequency offsets without providing a complete, low complexity, OFDM receiver architecture that mitigates jointly time and frequency errors. …”
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HAVEN: Haptic And Visual Environment Navigation by a Shape-Changing Mobile Robot with Multimodal Perception by Barry W. Mulvey, Thrishantha Nanayakkara

“…Abstract Many animals exhibit agile mobility in obstructed environments due to their ability to tune their bodies to negotiate and manipulate obstacles and apertures. …”
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Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…With the advancement in deep learning technology, many machine learning algorithms were developed to tackle the problem of pattern recognition. …”
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New Step in Lightweight Medical Image Encryption and Authenticity by Saleem Alsaraireh, Ashraf Ahmad, Yousef AbuHour

“…Lightweight encryption algorithms that preserve confidentiality, integrity, and authenticity can address these limitations. …”
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Prediction of China’s Sulfur Dioxide Emissions by Discrete Grey Model with Fractional Order Generation Operators by Wei Meng, Daoli Yang, Hui Huang

“…Sulfur dioxide is an important source of atmospheric pollution. Many countries are developing policies to reduce sulfur dioxide emissions. …”
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Mathematisation of specialised disciplines as the basis for fundamentalising IT training in universities by E. A. Perminov, V. A. Testov

“…However, the quality of such training, and especially its fundamental nature, in many universities lags behind the requirements of the time. …”
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Elevation of transaminases. What if not the liver? by I. V. Sharkova

“…This is why it is crucial to inform primary care pediatricians, pediatric gastroenterologists, and infectious disease specialists about the mechanisms of non-hepatic transaminase elevation and diagnostic algorithms for muscular dystrophies.…”
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Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities by K Moodley

“…Databases of unimaginable magnitude can be harnessed to develop algorithms for AI and to refine machine learning. Complex neural networks now lie at the core of ubiquitous AI systems in healthcare. …”
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The Role of Three Plasma Proteins in the Diagnosis of Ovarian Tumors by Valeria Racheva, Adelaida Ruseva, Svetlana Mateva, Ivan Malkodanski

“…The biomarkers with the highest informative value should be selected individually or combined in multi-biomarker panels from the many biomarkers strongly associated with OC. Numerous such panels of biomarkers and algorithms have been developed for the early diagnosis and differentiation of OC from other benign ovarian diseases. …”
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