Telemedicine Screening for Diabetic Retinopathy Using Digital Technology: Foreign Experience by D. A. Andreev, N. N. Kamynina

“…Deep machine learning algorithms and other artificial intelligence-based approaches demonstrate excellent results. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…DL models utilize complex algorithms to identify patterns that may be difficult to observe with traditional physics-based models, specifically where the underlying physics is complex or poorly understood or where the available physical model is too simple. …”
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Immune microenvironment and prognostic genes of triple-negative breast cancer in the context of transcriptome and single-cell sequencing by Xiangqin Huang, Wei Chen, Zhiwu Lin, Hui Zhang, Ruijuan Wang, Cailing Lin

“…This study aimed to uncover novel prognostic markers for TNBC based on IRGs. Differential expression analysis, univariate Cox regression, and machine learning algorithms identified BPI, GPHA2, KIR3DL3, MASP1, RASGRP1, and SEMA4A as potential prognostic genes. …”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…Abstract In the dynamic environment of the Internet of Things (IoT), edge and cloud computing play critical roles in analysing and storing data from numerous connected devices to produce valuable insights. …”
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A Machine Learning Approach to Analyze Manpower Sleep Disorder by Reza Amiri

“…Introduction: Human resources play a pivotal role in determining the efficiency of a workplace and an organization. …”
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A new era in treatment of cardiac amyloidosis: an overview of the Congress of cardiology by I. E. Strelkova

“…Advent of the first drug specific for treatment of transthyretin amyloid cardiomyopathy in Russia increased a need of awareness of ATTR-CM among general practitioners  and cardiologists, and introduction of modern diagnostic algorithms for this disease. Timely detection and competent differential diagnosis of ATTR-CM from other types of amyloid cardiomyopathy  can play a decisive role in the prognosis of this disease. …”
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Quantum Computing and the Law: Navigating the Legal Implications of a Quantum Leap by Kasim Balarabe

“…The unique characteristics of quantum algorithms and hardware pose significant challenges for the existing patent system, necessitating a clear and consistent framework for protecting quantum innovations while fostering collaboration. …”
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Construction of a sugar and acid content estimation model for Miliang-1 kiwifruit during storage by LIU Li, YANG Tianyi, DONG Congying, SHI Caiyun, SI Peng, WEI Zhifeng, GAO Dengtao

“…To select the optimal hyperspectral wavelengths for predicting kiwifruit quality, Genetic Algorithm (GA) and Random Frog (RF) methods were employed. …”
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Dilated cardiomyopathy evaluation with Imagenomics: combining multimodal cardiovascular imaging and genetics by Kristian Galanti, Ghaith Sharaf Dabbagh, Fabrizio Ricci, Sabina Gallina, Roberta Giansante, Ron Jacob, Edmond Obeng‐Gyimah, Leslie T. Cooper Jr, Sanjay K. Prasad, David H. Birnie, Andrew P. Landstrom, Selma F. Mohammed, Saidi Mohiddin, Mohammed Y. Khanji, Anwar A. Chahal

“…We further elaborate on the role of cardiac imaging to deliver optimal guidance to aetiology‐based therapeutic approaches, verification of treatment response and disease progression monitoring.…”
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Non-Invasive Glucose Monitoring Using Optical Sensors and Machine Learning: A Predictive Model for Nutritional and Health Assessment by Heru Agus Santoso, Nur Setiawati Dewi, Susilo, Arga Dwi Pambudi, Hanif Pandu Suhito, Iman Dehzangi

“…Glucose monitoring plays a vital role in maintaining metabolic and nutritional balance. …”
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Innovative approaches to standardisation in forest commodity science: Trends and prospects by O. Sytnyk, I. Kimeichuk

“…The study revealed modern innovative approaches to standardisation in forest commodity science, among which digital technologies, blockchain systems, artificial intelligence algorithms and remote monitoring tools played a key role. …”
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Ocean Response Along the East Antarctic Coastal Margin to the Southern Annular Mode by K. Mizobata, D. Hirano, K. Kusahara, S. Aoki, J. Inoue, S. Takao, R. Makabe

“…Abstract Ocean circulation around the Antarctic coastal margins plays a critical role in heat delivery to Antarctica, melting ice shelves. …”
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Geotri-VIO: geometrically consistent multi-prism projection for panoramic imaging in visual-inertial-odometry by Ruidong Mei, Yihan Tu, Lanxiang Zheng, MingXin Wei, Hui Cheng

“…Abstract Panoramic camera-based Visual-Inertial-Odometry (VIO) systems play a crucial role in robotic navigation, autonomous driving, and virtual reality applications, owing to their large Field-of-View and enhanced localization capabilities. …”
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Intensification of management decision making in socially responsible systems using AI by N. P. Kharchenko

“…During the study, the author analyzed the role of artificial intelligence in overcoming the challenges of socially responsible management systems. …”
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Artificial intelligence-augmented smart grid architecture for cyber intrusion detection and mitigation in electric vehicle charging infrastructure by Ankita Sharma, Shalli Rani, Mohammad Shabaz

“…Abstract The role of electric vehicles (EV) is crucial in the shift toward sustainable transportation while reducing greenhouse gas emissions. …”
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Traumatic Brain Injury and Artificial Intelligence: Shaping the Future of Neurorehabilitation—A Review by Seun Orenuga, Philip Jordache, Daniel Mirzai, Tyler Monteros, Ernesto Gonzalez, Ahmed Madkoor, Rahim Hirani, Raj K. Tiwari, Mill Etienne

“…AI-driven algorithms have demonstrated high accuracy in predicting mortality, functional outcomes, and personalized rehabilitation strategies based on patient data. …”
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Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response by Chi Zhou, Qian Qiu, Xinyu Liu, Tiantian Zhang, Leilei Liang, Yihang Yuan, Yufo Chen, Weijie Sun

“…Aims Using genomic data from the TCGA-CRC cohort, we constructed a prognostic model based on exosome-related lncRNA for the first time, and the biological role of MIR4713HG in CRC was deeply analyzed. …”
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Exploring State Space Models in LiDAR Point Cloud Segmentation by D. Lu, L. Xu, R. Wang, J. Li

“…In this study, we investigated the performance of two existing Mamba-based algorithms, PointMamba and PointCloudMamba, on the aerial DALES LiDAR dataset for point cloud segmentation, and further explored the critical role of token serialization in influencing Mamba’s performance. …”
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A dual scheduling framework for task and resource allocation in clouds using deep reinforcement learning by Jiahui Pan, Yi Wei, Lei Meng, Xiangxu Meng

“…Accordingly, we propose a dual scheduling approach based on deep reinforcement learning, which consists of two layers of Deep Q-Network algorithms to realize these functions. …”
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Spatiotemporal Analysis of Global In-stream Phosphorus Concentrations from 2012 to 2021 by Razi Sheikholeslami, Mehrnoush Jalali, Sara Vahab

“…Phosphorus (P) is an essential nutrient in nature, playing a critical role in plant growth and food production. However, the interplay between environmental factors and human activities, particularly the excessive use of P-based fertilizers, can significantly impact P concentrations in surface waters. …”
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