Cloud Removal Advances: A Comprehensive Review and Analysis for Optical Remote Sensing Images by Jin Ning, Lianbin Xie, Jie Yin, Yiguang Liu

“…Cloud cover significantly decreases the quality of optical remote sensing (ORS) images, adversely impacting its effectiveness in geographic monitoring, disaster prevention, and advanced visual applications. …”
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Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy by Moustaq Karim Khan Rony, Dipak Chandra Das, Most. Tahmina Khatun, Silvia Ferdousi, Mosammat Ruma Akter, Mst. Amena Khatun, Most. Hasina Begum, Md Ibrahim Khalil, Mst. Rina Parvin, Daifallah M Alrazeeni, Fazila Akter

“…The risk of bias assessment indicated high methodological rigor in most studies, though challenges like algorithmic biases and data quality remain. Conclusion AI demonstrates robust diagnostic and therapeutic capabilities in psychiatry, offering a data-driven approach to personalized mental healthcare. …”
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Directly from surface to bulk: rapid prediction of internal densification in laser powder bed fusion additively manufactured nickel-based superalloy using machine learning by Longhai Hu, Keyu Shi, Dongdong Gu, Han Zhang, Miao Chang, Menghuan Yin, Jinming Xing, Ruiqi Wang, Kai Tang, Kuanyang Feng, Xuechun Hei

“…This work provided novel methodology and theoretical foundation for rapid quality evaluation and characterisation of LPBF fabricated GH4169 complex components.…”
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HI4HC and AAAAD: Exploring a hierarchical method and dataset using hybrid intelligence for remote sensing scene captioning by Jiaxin Ren, Wanzeng Liu, Jun Chen, Shunxi Yin

“…Many existing methods and datasets lack a fine-grained description of key geographical elements, fail to capture the full diversity of spatial relations, and are limited in their applicability to real-world geospatial scenarios. To address these shortcomings, we propose HI4HC (hybrid intelligence for remote sensing scene hierarchical captioning), a novel method that combines deep learning algorithms with expert knowledge to generate hierarchical captions for remote sensing scenes. …”
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Integrating Multiple RIS for Enhanced SWIPT-IoT Performance: Optimization Strategies by Neha Sharma, Sumit Gautam, Symeon Chatzinotas, Bjorn Ottersten

“…Reconfigurable Intelligent Surfaces (RIS) are revolutionizing wireless communications by enhancing signal quality and extending network coverage, particularly in remotely located Internet-of-Things (IoT) applications. …”
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Structural-methodical model of computer program for control of theoretical knowledge of cadets by V. V. Bulgakov

“…Basically, readymade computer programs are used, which are universal and are intended for wide application, without taking into account the specifics of Universities.Research and development of structural and methodological model was carried out with the use of theoretical analysis of the provisions of pedagogy on the problems of control, evaluation and analysis of the level of theoretical knowledge, methods of theory of algorithms and decision-making, methods of synthesis and analysis of information processes. …”
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Coffee-Leaf Diseases and Pests Detection Based on YOLO Models by Jonatan Fragoso, Clécio Silva, Thuanne Paixão, Ana Beatriz Alvarez, Olacir Castro Júnior, Ruben Florez, Facundo Palomino-Quispe, Lucas Graciolli Savian, Paulo André Trazzi

“…The evaluation of the models included quantitative and qualitative analyses, considering the mAP, F1-Score, and recall metrics. …”
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Future of Alzheimer's detection: Advancing diagnostic accuracy through the integration of qEEG and artificial intelligence by Sahar Rezaei, Farzan Asadirad, Alireza Motamedi, Mohammadsadegh Kamran, Farzaneh Parsa, Haniyeh Samimi, Parna Ghannadikhosh, Mahdi Zahmatyar, Seyed Ali Hosseinzadeh, Hossein Arabi

“…Through systematic analysis of 11 key studies across multiple international databases, we evaluated various AI architectures, including machine learning algorithms and deep learning networks, applied to qEEG data for AD detection. …”
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River total dissolved gas prediction using a hybrid greedy-stepwise feature selection and bidirectional long short-term memory model by Khabat Khosravi, Salim Heddam, Changhyun Jun, Sayed M. Bateni, Dongkyun Kim, Essam Heggy

“…Each model is trained and evaluated at one station and validated at the second station to assess transferability and generalization capability. …”
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Detection of Wild Mushrooms Using Machine Learning and Computer Vision by Christos Chaschatzis, Chrysoula Karaiskou, Chryssanthi Iakovidou, Panagiotis Radoglou-Grammatikis, Stamatia Bibi, Sotirios K. Goudos, Panagiotis G. Sarigiannidis

“…The proposed approach utilises unmanned aerial vehicles (UAVs) equipped with multispectral imaging and the YOLOv5 object detection algorithm. A custom dataset, the wild mushroom detection dataset (WOES), comprising 907 annotated aerial and ground images, was developed to support model training and evaluation. …”
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Machine learning for predicting all-cause mortality of metabolic dysfunction-associated fatty liver disease: a longitudinal study based on NHANES by Xueni Wang, Huihui Chen, Luqiao Wang, Wenguang Sun

“…Conclusions Machine learning has a promising application in predicting all-cause mortality in MAFLD individuals. …”
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Analysis of the Current State of Digitalization İmplementation in the Banking System of Azerbaijan by K. N. Atayev

“…Recent indexes confirm that the integration of mobile technologies, biometric identification systems, artificial intelligence algorithms, and fintech innovations has served as a significant catalyst for the transformation of this sector. …”
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Adaptive Spanning Tree-Based Coverage Path Planning for Autonomous Mobile Robots in Dynamic Environments by K. P. Jayalakshmi, Vishnu G. Nair, Dayakshini Sathish, K. R. Guruprasad

“…These results demonstrate that the proposed approach significantly enhances coverage quality, reduces redundancy, and adapts effectively to dynamic environments, making it suitable for real-world applications such as surveillance, cleaning, and agricultural robotics.…”
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Robotic irrigation complex for crop cultivation in irrigated areas by M. G. Zagoruiko, D.  A. Soloviev, N. F. Ryzhko, S. N. Ryzhko

“…(Materials and methods) The paper evaluates the signifi cance of developing a design that can optimize the process of crop cultivation and details the applications and databases integrated within the central computing center. …”
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Wireless body area network: Architecture and security mechanism for healthcare using internet of things by Arun Kumar, Ritu Dewan, Wisam Subhi Al-Dayyeni, Bharat Bhushan, Jayant Giri, Sardar MN Islam, Ahmed Elaraby

“…In addition to monitoring temperature, humidity, and air quality, IoT sensors may help prevent the spread of sickness. …”
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Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery by Qing Ye, Yaxin Sun, Yaxin Sun, Yaxin Sun

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Deep learning-based object detection and robotic arm grasping by ZHANG Lei, ZHANG Senhui, YAN Song, YUAN Yuan

“…Additionally, the integration of a parameter-free three-dimensional attention mechanism enabled the network to focus more on grasping information features and suppress background noise. Finally, a grasping quality evaluation was employed to refine the grasping boxes, and the grasping box with the highest confidence score was output. …”
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Bug Wars: Artificial Intelligence Strikes Back in Sepsis Management by Georgios I. Barkas, Ilias E. Dimeas, Ourania S. Kotsiou

“…This systematic scoping review evaluates the current landscape of artificial intelligence (AI) and machine learning (ML) applications in sepsis care, focusing on early detection, personalized antibiotic management, and resistance forecasting. …”
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Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…Although we trained on tiny datasets our method achieves excellent segmentation quality and is even able to detect prostate cancer. …”
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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Its capacity to manage complex time series data is demonstrated, and the advancement and innovation of algorithms and models are supported. New directions for technological progress and practical application in the field of wind power prediction are established.…”
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