A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques by R. Ramya, P. Kumar, D. Dhanasekaran, R. Satheesh Kumar, S. Amithesh Sharavan

“…Quantum memory enables storage and retrieval of quantum information, while quantum entanglement generators generate entangled photon pairs. Artificial intelligence and machine learning have significantly improved the efficacy and security of quantum communication. …”
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Bridging the gap: From petri dish to patient - Advancements in translational drug discovery by Mohamed El-Tanani, Syed Arman Rabbani, Yahia El-Tanani, Ismail I. Matalka, Ikramy A. Khalil

“…These advancements include, but are not limited to, sophisticated in vitro models such as organ-on-a-chip and computational models that utilize artificial intelligence to predict drug efficacy and safety. …”
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Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling by Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick K. Ronoh, Stephen E. Moore

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Bayesian Regularized Neural Network Model Development for Predicting Daily Rainfall from Sea Level Pressure Data: Investigation on Solving Complex Hydrology Problem by Lu Ye, Saadya Fahad Jabbar, Musaddak M. Abdul Zahra, Mou Leong Tan

“…Prediction of daily rainfall is important for flood forecasting, reservoir operation, and many other hydrological applications. The artificial intelligence (AI) algorithm is generally used for stochastic forecasting rainfall which is not capable to simulate unseen extreme rainfall events which become common due to climate change. …”
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Investigation of Factors That Influence Human Presence and Robot Anthropomorphism in Telepresence Robot by Nungduk Yun, Seiji Yamada

“…Many people feel that artificial intelligence (AI) in robots depends on their appearance, which is anthropomorphism, and telepresence robots without arm or body motions can also have a human presence. …”
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Recent Developments on Novel 2D Materials for Emerging Neuromorphic Computing Devices by Muhammad Hamza Pervez, Ehsan Elahi, Muhammad Asghar Khan, Muhammad Nasim, Muhammad Asim, Arslan Rehmat, Malik Abdul Rehman, Mohammed A. Assiri, Shania Rehman, Jonghwa Eom, Muhammad Farooq Khan

“…The rapid advancement of artificial intelligent and information technology has led to a critical need for extremely low power consumption and excellent efficiency. …”
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The research progress of biologics in elderly-onset rheumatoid arthritis (EORA) by Yujie Li, Yifan Liu, Yanhui Tian, Huimin Gu, Qingliang Meng, Jiakang Cui, Junfu Ma

“…With the rapid progress of precision medicine and artificial intelligence (AI) technologies, gene profiling, biomarker analysis, and AI-assisted decision-making are gradually steering EORA treatment towards more personalized and precise strategies. …”
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Deep Learning Architecture to Infer Kennedy Classification of Partially Edentulous Arches Using Object Detection Techniques and Piecewise Annotations by Zohaib Khurshid, MRes, FDTFEd, FHEA, Maria Waqas, PhD, Shehzad Hasan, PhD, Shakeel Kazmi, PhD, Muhammad Faheemuddin, FCPS

“…This research work focuses on utilizing artificial intelligence and deep learning–based object detection techniques for automated detection of common dental issues in orthopantomography x-ray images, including broken roots, periodontally compromised teeth, and the Kennedy classification of partially edentulous arches. …”
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Predicting branch retinal vein occlusion development using multimodal deep learning and pre-onset fundus hemisection images by Eun Young Choi, Dongyoung Kim, Jinyeong Kim, Eunjin Kim, Hyunseo Lee, Jinyoung Yeo, Tae Keun Yoo, Min Kim

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A Hybrid FEM-CNN for Image-Based Severity Prediction of Corroded Offshore Pipelines by Mohammad Fadzil Najwa, Muda Mohd Fakri, Abdul Shahid Muhammad Daniel, Aziz Norheliena, Mohd Mohd Hairil, Mohd Amin Norliyati, Mohd Hashim Mohd Hisbany

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Research progress of light-curing 3D printing polymer materials by HU Feiyang, LI Haoding, LUAN Shuyang, MAO Caiwang, CHEN Jiamiao, FAN Hao, SHI Jianjun, SONG Jiangxuan

“…In the future, light-curing 3D printing technology is expected to advance toward the development of high-performance polymer composites, the integration of intelligent and automated printing systems, and the deep integration with cutting-edge technologies such as artificial intelligence, continually driving its applications and innovations in high-tech fields and advanced manufacturing.…”
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Analysis of GNSS-RTK Monitoring Background Noise Characteristics Based on Stability Tests by Wencong Qi, Feilong Li, Lina Yu, Lilong Fan, Kai Zhang

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Terminologie et ontologie pour les humanités numériques : le cas des vêtements de la Grèce antique by Christophe Roche, Maria Papadopoulou

“…Ontoterminology defines concepts based on a set of essential characteristics, “knowledge primitives” shared by the experts, from which the ontology of the domain is built.The result is a multilingual terminology whose meaning is based on an ontology of the clothing domain of ancient Greece, which is seen here as shared and consensual, and which can give rise to many computer applications: multilingual terminology dictionaries, multilingual semantic search engines, automatic classification, document management, knowledge management, etc.This project highlighted the importance, even the necessity, of having a tool-assisted method based on a multidisciplinary approach, reconciling “emic” and “etic” approaches, and drawing on linguistics, terminology and knowledge modelling, a field of artificial intelligence. It also highlighted the importance of adopting a method that allows the collaboration of distributed end users, and whose results can be shared through the use of exchange formats complying with the standards in force, including those of the ISO and of the W3C.This article will focus on presenting the method and tool used in this project as they have generalisable features for similar projects in digital humanities, as well as some of the results obtained.…”
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Chip Design of PTP Time Synchronization for Industrial IoT by Yee-Shao Chen, Yuan-Sun Chu, da-Wei Lo, Yen-Ting Chiang, Ting-Chao Hou

“…Its core concept is to apply technologies such as computer networking, big data, artificial intelligence and cloud services to manufacturing. …”
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Research on Clue Mining in Criminal Cases of Smart Phone Trojan Horse under the Background of Information Security by Li Gang, Yong Wen

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Discussing the Reform of Physical Education Instruction Based on the Basic Skills Competition for Physical Education Majors in Chongqing Municipality's General Colleges and Univers... by guangxin cheng, Zhongchen Zhang, Zhiming Shi

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Optimized Adaptive Neuro-Fuzzy Inference System Using Metaheuristic Algorithms: Application of Shield Tunnelling Ground Surface Settlement Prediction by Xinni Liu, Sadaam Hadee Hussein, Kamarul Hawari Ghazali, Tran Minh Tung, Zaher Mundher Yaseen

“…This study proposes relatively new hybrid artificial intelligence (AI) models to predict the ground settlement of earth pressure balance (EPB) shield tunnelling in the Bangkok MRTA project. …”
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Analog Computing for Nonlinear Shock Tube PDE Models: Test and Measurement of CMOS Chip by Hasantha Malavipathirana, Soumyajit Mandal, Nilan Udayanga, Yingying Wang, S. I. Hariharan, Arjuna Madanayake

“…Analog CMOS has power efficiency advantages over digital CMOS for low-precision applications in edge computing, scientific computing, and artificial intelligence/machine learning (AI/ML) verticals. …”
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Model of forecasting of material resources and estimated cost at early stages of life cycle of construction objects by M. V. Gureev, A. N. Makarov

“…The possibility of creating a forecasting tool based on artificial intelligence (AI) and machine learning (ML) technologies for these parameters seems to be a promising development direction, allowing to achieve a high level of accuracy in budget planning and project duration at the pre-project stage of an investment and construction project.Materials and methods. …”
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Integrating Multilayer Perceptron and Support Vector Regression for Enhanced State of Health Estimation in Lithium-Ion Batteries by Sadiqa Jafari, Jisoo Kim, Wonil Choi, Yung-Cheol Byun

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