Financial technologies trends and how they will shape financial markets by B. N. Kobadilov, G. B. Omarov, D. D. Yermekbayeva

“…As a result seven general trends revealed: Financial markets in pursue of blockchain benefits in speed and wealth management, Regulation and RegTech solving compliance issues, All parties want to master big data, Participants of Fintech industry investing more in Innovation labs, Opportunity cost of acquiring cloud solutions decreasing, fintech industry players consolidating and collaborating, Fintech developers providing platforms for fintech developers, More and more cognitive computing is used in financial services, Automatization of Know Your Customer internal processes and Anti Money Laundering.…”
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TWINVAX: conceptual model of a digital twin for immunisation services in primary health care by L. De Oliveira El-Warrak, C. Miceli de Farias

“…The system leverages Industry 4.0 concepts and technologies, such as the Internet of Things (IoT), machine learning, and cloud computing, to improve vaccination management and monitoring.MethodsThe modelling was conducted using the Unified Modelling Language (UML) to define workflows and processes such as temperature monitoring of storage equipment and tracking of vaccination status. …”
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A Review on Augmented Reality in Education and Geography: State of the Art and Perspectives by Bogdan-Alexandru Rus, Ioan Valentin Sita

“…Studies demonstrate that AR enhances students’ ability to recall information and understand geographical processes more effectively than with traditional methods. …”
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A Global Approach to Artificial Intelligence by Ana M. Gonzalez de Miguel, Antonio Sarasa-Cabezuelo

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Monte Carlo Simulations in Nanomedicine: Advancing Cancer Imaging and Therapy by James C. L. Chow

“…Despite their contributions, MC simulations face challenges such as modeling biological complexity, computational demands, and the scarcity of reliable nanoscale data. …”
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Connecting Experimental and Modeling Uncertainties Using Fission Observables by Diaby Fanta, Neudecker Denise, Lovell Amy E.

“…Understanding fission processes presents a challenge due to their complex nature. …”
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STrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets by Kendra Givens, David Ludwig, Joshua Phillips

“…Current deep-learning techniques for processing sets are limited to a fixed cardinality, causing a steep increase in computational complexity when the set is large. …”
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Jumping knowledge graph attention network for resource allocation in wireless cellular system by Qiushi Sun, Zhou Fang, Yin Li, Ovanes Petrosian

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Knowledge Error Detection via Textual and Structural Joint Learning by Xiaoyu Wang, Xiang Ao, Fuwei Zhang, Zhao Zhang, Qing He

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An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features by Abdurraheem Joomye, Mee Hong Ling, Muhammed Basheer Jasser, Athirah Mohd Ramly, Kok-Lim Alvin Yau

“…A very highly effective DL model named temporal convolutional network (TCN) which makes use of causal convolution and dilation for sequential data processing, was yet to be implemented with various dynamically extracted features from Android malware applications. …”
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Privacy-Preserving Keyword Search With Access Control for Secret Sharing-Based Data Outsourcing by Ahmad Akmal Aminuddin Mohd Kamal, Masamune Okada, Masaya Fujisawa

“…Furthermore, we provide an in-depth analysis of the security aspects of our proposed distribution, query generation, and search processes, demonstrating that our approach is resilient to honest-but-curious adversaries with information from up to <inline-formula> <tex-math notation="LaTeX">$k-1$ </tex-math></inline-formula> computing servers. …”
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SOCIOMORPHIC NEUROMODELING IN ACADEMIC EMOTIONOLOGY AS AN INTEGRATION OF NEUROCOGNITIVE AND PSYCHOLINGUISTIC KNOWLEDGE IN ARTIFICIAL INTELLIGENCE by Max Talanov, Irina S. Karabulatova, Victor Erokhin, Jordi Vallverdú

“…Erokhin – development of processes for biosensors and bioelectronics in the framework of neuromorphic computing; conducting experiments for bioinspired computing; clarifying terminology; J. …”
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Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis by Abdullah O. Baarimah, Mahmood A. Bazel, Wesam Salah Alaloul, Motasem Y.D. Alazaiza, Tharaa M. Al-Zghoul, Basheer Almuhaya, Arsalaan Khan, Ahmed W. Mushtaha

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Enhancing IoT security and healthcare data protection in the metaverse: A Dynamic Adaptive Security Mechanism by Saima Siraj Qureshi, Jingsha He, Nafei Zhu, Ahsan Nazir, Juan Fang, Xiangjun Ma, Ahsan Wajahat, Faheem Ullah, Sirajuddin Qureshi, Sahroui Dhelim, Muhammad Salman Pathan

“…This study provides a detailed examination of the foundational architecture of DASM and its AI-driven adaptive processes. We elucidate its pivotal role in strengthening the security framework within the complex terrain of the Metaverse. …”
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An ISO/IEC/IEEE21451 Smart Sensor Network for Distributed Measurement of Pavement Structural Temperature by Shuxiang Cai, Haiwen Yuan, Yong Cui, Bo Tian, Jianxun Lv

“…The proposed network node consists of autonomous power supply system, network capable application processor (NCAP), and smart transducer interface module (STIM). …”
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Elastic Information Management for Air Pollution Monitoring in Large-Scale M2M Sensor Networks by Yajie Ma, Yike Guo, Dilshan Silva, Orestis Tsinalis, Chao Wu

“…In large-scale machine-to-machine sensor networks, the applications such as urban air pollution monitoring require information management over widely distributed sensors under restricted power, processing, storage, and communication resources. The continual increases in size, data generating rates, and connectivity of sensor networks present significant scale and complexity challenges. …”
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A parallel algorithm for network traffic anomaly detection based on Isolation Forest by Xiaoling Tao, Yang Peng, Feng Zhao, Peichao Zhao, Yong Wang

“…In the calculation process, by assigning tasks to multiple compute nodes, Isolation Forest and Spark can efficiently perform anomaly detection and evaluation process. …”
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Reliability Improvement of 28 nm Intel FPGA Ring Oscillator PUF for Chip Identification by Zulfikar Zulfikar, Hubbul Walidainy, Aulia Rahman, Kahlil Muchtar

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A Parallel Framework with Block Matrices of a Discrete Fourier Transform for Vector-Valued Discrete-Time Signals by Pablo Soto-Quiros

“…We found that there is advantage to use multicore processors and a parallel computing environment to minimize the high execution time. …”
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Deep Reinforcement Learning-Based Routing Method for Low Earth Orbit Mega-Constellation Satellite Networks with Service Function Constraints by Yan Chen, Huan Cao, Longhe Wang, Daojin Chen, Zifan Liu, Yiqing Zhou, Jinglin Shi

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