Collaborative optimization design method for water injection layer division and injection-production fluid allocation in high water cut reservoirs by ZHANG Xianmin, LI Shanshan, FENG Qihong, LIU Chen, LIU Xiangbin

“…This model aimed to maximize economic net present value while considering multiple engineering and geological constraints， integrating water injection layer division and injection-production fluid allocation into a unified framework. …”
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AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery by Ahmad Almadhor, Hafiz Tayyab Rauf, Muhammad Ikram Ullah Lali, Robertas Damaševičius, Bader Alouffi, Abdullah Alharbi

“…In this paper, an artificial intelligence (AI) driven framework is presented to detect and classify the most common guava plant diseases. …”
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A Deep Learning-Based Time-Frequency Scheme for Ship Detection Using HFSWR by Da Huang, Hao Zhou, Yingwei Tian, Zhiqing Yang, Weimin Huang

“…To address this challenge, a deep learning (DL)-based scheme tailored for identifying ship targets in the time-frequency (TF) domain is presented. To ensure high-quality model training, we develop a semiautomatic annotation approach that uses automatic identification system (AIS) information as a reference and collect a TF dataset named HFSWR-TFD. …”
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Seroepidemiology of hepatitis B virus infection among Chinese schizophrenia patients by Huijuan Zhu, Xingxiang Liu, Yong Xue, Chong Shen, Yinghui Li, Aili Wang, Yi Ding, Zhi Zheng, Chen Dong

“…ALT, AST, γ-GT, TBIL, and IBIL were measured by an automatic biochemistry analyzer. All statistical analyses were performed with SPSS 13.0. …”
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Estimation and Evaluation of the FY-3D/MERSI-II Fractional Snow Cover in China by Jinyu Huang, Lingmei Jiang, Fangbo Pan, Bo Zhong, Shengli Wu, Huizhen Cui

“…The medium-resolution spectral imager (MERSI-II), aboard the FengYun-3D satellite, presents significant capabilities for effective snow monitoring. …”
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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…The automatic segmentation process was tested with the high-resolution orthoimage of an ancient mosaic by following a close-range photogrammetry procedure. …”
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Leveraging the fundamentals of heat transfer and fluid mechanics in microscale geometries for automated next-generation sequencing library preparation by Olivia Ott, Sabrina Tolppi, Jennifer Figueroa-Cruz, Khaliun Myagmar, Khulan Unurbuyan, Anubhav Tripathi

“…Abstract Next-generation sequencing (NGS) is emerging as a powerful tool for molecular diagnostics but remains limited by cumbersome and inefficient sample preparation. We present an innovative automated NGS library preparation system with a simplified mechanical design that exploits both macro- and microfluidic properties for optimizing heat transfer, reaction kinetics, mass transfer, fluid mechanics, adsorption–desorption rates, and molecular thermodynamics. …”
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Deep learning based detection of silicosis from computed tomography images by Hamit Aksoy, Ümit Atila, Sertaç Arslan

“…These results show that Xception outperformed the other algorithms and was the most successful algorithm in the automatic detection of silicosis with an accuracy rate of 97.29 %.Additionally, a new dataset consisting of tomography images from silicosis patients is presented in this study. …”
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Development of methods for controlling the quality of hypochlorous acid solution obtained by electrochemical synthesis by O. M. Brezvyn, I. Ya. Kotsiumbas, D. V. Hyrenko, T. V. Lukianenko, O. B. Shmychkova, L. V. Dmitrikova, O. B. Velichenko

“…The article presents materials on developing quality control methods for hypochlorite acid obtained by electrochemical synthesis. …”
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Deep Learning and Methods Based on Large Language Models Applied to Stellar Light Curve Classification by Yu-Yang Li, Yu Bai, Cunshi Wang, Mengwei Qu, Ziteng Lu, Roberto Soria, Jifeng Liu

“…With the rapid advancement of machine learning techniques, they can be effectively processed to extract astronomical patterns and information. In this study, we present a comprehensive evaluation of models based on deep learning and large language models (LLMs) for the automatic classification of variable star light curves, using large datasets from the Kepler and K2 missions. …”
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One to All: Toward a Unified Model for Counting Cereal Crop Heads Based on Few-Shot Learning by Qiang Wang, Xijian Fan, Ziqing Zhuang, Tardi Tjahjadi, Shichao Jin, Honghua Huan, Qiaolin Ye

“…Furthermore, a multiscale feature interaction module is proposed for integrating a similarity metric to facilitate automatic learning of crop-specific features across varying scales, which enhances the ability to describe crop heads of various sizes and shapes. …”
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Transferring Learned ECG Representations for Deep Neural Network Classification of Atrial Fibrillation with Photoplethysmography by Jayroop Ramesh, Zahra Solatidehkordi, Raafat Aburukba, Assim Sagahyroon, Fadi Aloul

“…In this work, we present a deep learning framework that leverages convolutional layers with a bidirectional long short-term memory (CNN-BiLSTM) network and an attention mechanism for effectively classifying raw AF rhythms from normal sinus rhythms (NSR). …”
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On the Control of the Technical Condition of Elevator Ropes Based on Artificial Intelligence and Computer Vision Technology by A. V. Panfilov, A. R. Yusupov, A. A. Korotkiy, B. F. Ivanov

“…The rejection rate was presented in the form of a mathematical system. The technical condition of elevator ropes during the operation was integrally assessed by the totality of identified defects at a fixed length. …”
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An adaptive search mechanism with convolutional learning networks for online social media text summarization and classification model by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Hassan Alkhiri, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

“…The ASMHLN-SMDSCM approach aims to present a novel approach for text summarization on social media using advanced deep learning models. …”
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A Convolutional Neural Network Model for Classifying Resting Tremor Amplitude in Parkinson’s Disease by Augusto Ielo, Serena Dattola, Lilla Bonanno, Paolo De Pasquale, Alberto Cacciola, Angelo Quartarone, Maria Cristina De Cola

“…Resting data recorded during the UPDRS assessment were extracted and used to identify additional resting periods within the recordings through an automatic segmentation algorithm. At the end, for each of the selected arms, 90,000 data points were labeled based on the respective UPDRS 3.17 scores. …”
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Cine cardiac magnetic resonance segmentation using temporal-spatial adaptation of prompt-enabled segment-anything-model: a feasibility study by Zhennong Chen, Sekeun Kim, Hui Ren, Sunghwan Kim, Siyeop Yoon, Quanzheng Li, Xiang Li

“…Clinical parameters derived from automatic and manual segmentations showed a strong correlation (r ≥0.90). …”
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A Comparative Study of Advanced Transformer Learning Frameworks for Water Potability Analysis Using Physicochemical Parameters by Enes Algül, Saadin Oyucu, Onur Polat, Hüseyin Çelik, Süleyman Ekşi, Faruk Kurker, Ahmet Aksoz

“…Traditional laboratory-based methods for evaluating water potability are often time-consuming, costly, and labour-intensive. This paper presents a comparative analysis of four transformer-based deep learning models in the development of automatic classification systems for water potability based on physicochemical attributes. …”
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Comparison of temperature and wind profiles between ground-based remote sensing observations and numerical weather prediction model in complex Alpine topography: the Meiringen camp... by A. Bugnard, M. Collaud Coen, M. Hervo, D. Leuenberger, M. Arpagaus, S. Monhart

“…A microwave radiometer and a Doppler wind lidar were installed at Meiringen, in addition to numerous automatic ground measurement stations recording meteorological surface variables. …”
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Desenvolvimento e simulação de um sistema avançado de controle ambiental em cultivo protegido Development and simulation of an advanced system of ambient control in agricultural gr... by Carlos E. B. Romanini, Angel P. Garcia, Leonardo M. Alvarado, Nelson L. Cappelli, Claudio K. Umezu

“…One important issue regarding greenhouse systems is the control of the air temperature and relative humidity. The automatic environmental control allows the improvement of quality, and the efficient and rational use of resources. …”
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Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images by Shihan Chen, Qingsong Yan, Yingjie Qu, Wang Gao, Junxing Yang, Fei Deng

“…Complex terrain and artificial structures, automatic distortion elimination and occluded area recovery in TDOM generation pose significant challenges. …”
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