Deep Learning Applications in Medical Image Processing by Ayşe Gül Eker, Nevcihan Duru

“…Medical imaging techniques such as magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), mammography, ultrasound and x-ray have been used for the diagnosis and treatment of diseases for many years. …”
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Cutting-Edge Approaches in the Co-Amorphization Process by Azza A. K. Mahmoud, Géza Regdon, Katalin Kristó

“…<b>Conclusions:</b> This paper revealed that amino acid is the most commonly used co-former, specifically arginine with acidic drugs and tryptophan with acidic and basic drugs, and it reported other co-formers that were used and different co-amorphous systems with their dissolution behaviour and stabilities, and different computational tools that were applied in the selection of co-former and process result evaluation.…”
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USE OF SCRIBING AND SKETCHNOTING TECHNOLOGIES IN THE EDUCATIONAL PROCESS by Olha Myagkova

“…The advantages and disadvantages of using scribing technologies in the educational process are summarized. The types of scribing and possible variants of their use are researched and analyzed. …”

Food Cooking Process Modeling With Neural Networks by Javier Fananas-Anaya, Gonzalo Lopez-Nicolas, Carlos Sagues, Sergio Llorente

“…Food cooking process are complex dynamical systems to model. In the state of the art we find that a good solution consists of physics-based finite element models (FEM). …”
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Open Innovation Process for Inter-Organizational Projects by Susanne Marx

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Hybrid Machine Learning for CNC Process Monitoring by Robin Strobel, Samuel Deucker, Hanlin Zhou, Hafez Kader, Alexander Puchta, Benjamin Noack, Jurgen Fleischer

“…The transition to highly customized, one-off production in modern manufacturing necessitates sophisticated process monitoring to reduce waste, minimize downtime, and alleviate operator burden. …”
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An Automatic Image Processing System for Glaucoma Screening by Ahmed Almazroa, Sami Alodhayb, Kaamran Raahemifar, Vasudevan Lakshminarayanan

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Understanding the Role of Robotic Process Automation in Healthcare by Octavian Constantin IORDACHE, Sebastian Aurelian ŞTEFĂNIGĂ

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SYSTEM-INFORMATION MODELS FOR INTELLIGENT INFORMATION PROCESSING by Mykola Korablyov, Sergey Lutskyy

“…The development of methods for solving various classes of practical problems using intelligent information processing is one of the key areas of research in computer science. …”
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Analysis of random factors of the self-education process by A. A. Solodov

“…Considered a numerical example of application of the theory, including computational experiment. The use of mathematical apparatus of random point processes allows us to formulate the model of the random factors of the process of selfeducation in the form of random sequence of points which are identified with some of the events that accompany the process of self-education. …”
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TERMINALS IN SYSTEM ANALYSIS by Stefan VLADUTESCU

“…The conclusion is that the system analysis a) highlights the structure, factors, functions, processes and objectives / goals of the system, b) shows the extent to which the system achieves its objectives, c) whether there are computational tools that provide feedback and feedforvard , e) warns about the negative evolutions in the system and f) leads to the optimization of the presence of the system in variable contexts.…”
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Culturally Sensitive Approach to Gamification in The Corporate Environment by Irina-Teodora MANOLESCU, Angelica-Nicoleta NECULĂESEI (ONEA)

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Improved representation of laminar and turbulent sheet flow in subglacial drainage models by Tim Hill, Gwenn Elizabeth Flowers, Matthew James Hoffman, Derek Bingham, Mauro Angelo Werder

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R‐DP: A risk‐adaptive privacy protection scheme for mobile crowdsensing in industrial internet of things by Lisha Shuai, Jiamin Zhang, Yu Cao, Min Zhang, Xiaolong Yang

“…Therefore, a risk‐adaptive privacy protection scheme R‐DP for MCS‐enabled IIoT gadgets is proposed, which comprises a closed‐loop risk‐awareness process and an adaptive privacy protection method DP (a dissemination process with perturbation). …”
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Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks, and SDN Application by Mohammad Reza Rezaee, Nor Asilah Wati Abdul Hamid, Masnida Hussin, Zuriati Ahmad Zukarnain

“…Given the massive volume of data, moving to a remote cloud is time-consuming and produces severe network congestion, rendering cloud administration and rapid data processing difficult. Fog computing provides close-to-device processing at the network&#x2019;s periphery, and fog computing can analyze data in near real-time. …”
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Privacy-enhanced skin disease classification: integrating federated learning in an IoT-enabled edge computing by Nada Alasbali, Jawad Ahmad, Ali Akbar Siddique, Oumaima Saidani, Alanoud Al Mazroa, Asif Raza, Rahmat Ullah, Muhammad Shahbaz Khan

“…Most existing automated detection/classification approaches that utilize machine learning or deep learning poses privacy issues, as they involve centralized computing and require local storage for data training.MethodsKeeping the privacy of sensitive patient data as a primary objective, in addition to ensuring accuracy and efficiency, this paper presents an algorithm that integrates Federated learning techniques into an IoT-based edge-computing environment. …”
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A Beam Search Framework for Quantum Circuit Mapping by Cheng Qiu, Pengcheng Zhu, Lihua Wei

“…In the era of noisy intermediate-scale quantum (NISQ) computing, the limited connectivity between qubits is one of the common physical limitations faced by current quantum computing devices. …”
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Emergent Self‐Adaptation in an Integrated Photonic Neural Network for Backpropagation‐Free Learning by Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff‐Plückelmann, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran, Peter Bienstman

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HOODIE: Hybrid Computation Offloading via Distributed Deep Reinforcement Learning in Delay-Aware Cloud-Edge Continuum by Anastasios E. Giannopoulos, Ilias Paralikas, Sotirios T. Spantideas, Panagiotis Trakadas

“…Cloud-Edge Computing Continuum (CEC) system, where edge and cloud nodes are seamlessly connected, is dedicated to handle substantial computational loads offloaded by end-users. …”
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Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence by Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyu Cai, Yongfu You, Jianjun Zhou, Di Guo, Xiaobo Qu

“…Additionally, local data processing demands substantial manpower and hardware investments. …”
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